CN117175695B - Photovoltaic micro-grid power generation method and system based on diesel generator set - Google Patents
Photovoltaic micro-grid power generation method and system based on diesel generator set Download PDFInfo
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Abstract
The invention discloses a photovoltaic micro-grid power generation method and a system based on a diesel generator set, which relate to the field of photovoltaic micro-grid power generation, and the photovoltaic micro-grid power generation method based on the diesel generator set comprises the following steps: s1, constructing an initial micro-grid power generation scheme according to parameters of a diesel generator set and parameters of a photovoltaic generator set; s2, acquiring climate environment parameters when the initial micro-grid power generation scheme is used; s3, adjusting the initial micro-grid power generation scheme according to the climate environment parameters to obtain an advanced micro-grid power generation scheme; s4, acquiring real-time operation parameters of the advanced micro-grid power generation scheme, and analyzing load balance of the advanced micro-grid power generation scheme to obtain power generation load parameters. The invention can dynamically adjust the power generation strategy by monitoring the environmental parameters and the running state in real time, adapt to climate change and load demand, furthest reduce energy waste, predict the energy demand in advance and make corresponding adjustment.
Description
Technical Field
The invention relates to the field of photovoltaic micro-grid power generation, in particular to a photovoltaic micro-grid power generation method and system based on a diesel generator set.
Background
The diesel generator set is driven by a diesel engine, equipment for converting fuel heat energy into electric energy mainly comprises the diesel engine, a generator, a control system, a cooling system, a lubricating system, a starting system and the like, and in the photovoltaic micro-grid power generation system, the diesel generator set can be used as standby power generation equipment to provide a reliable standby power supply so as to cope with the situation that the photovoltaic power generation system cannot meet load requirements.
The photovoltaic micro-grid power generation refers to a mode of generating power by utilizing a photovoltaic power generation system, wherein the photovoltaic power generation system generates direct-current electric energy by utilizing solar light radiation, the direct-current electric energy is converted into alternating-current electric energy through an inverter and is supplied to loads in the micro-grid for use, and the photovoltaic micro-grid power generation system has higher environmental friendliness and energy utilization efficiency and is suitable for some remote areas, islands or places which cannot be connected with a main power grid.
However, the existing photovoltaic micro-grid power generation method and system based on the diesel generator set cannot adjust a power generation scheme according to specific requirements during use, so that the existing photovoltaic micro-grid power generation method and system based on the diesel generator set cannot dynamically adjust a power generation strategy, cannot adapt to climate change and load requirements during power generation, and cannot be used for predicting energy utilization efficiency during power generation, and can also predict energy requirements in advance and make corresponding adjustments, and cannot fully utilize the advantages of photovoltaic power generation, so that the running time and fuel consumption of the diesel generator set are reduced, and the efficiency of the existing photovoltaic micro-grid power generation method and system based on the diesel generator set during use is not ideal.
For the problems in the related art, no effective solution has been proposed at present.
Disclosure of Invention
Aiming at the defects of the prior art, the invention provides a photovoltaic micro-grid power generation method and a photovoltaic micro-grid power generation system based on a diesel generating set, which have the advantage of dynamically optimizing a power generation strategy, thereby solving the problem that the power generation strategy cannot be dynamically adjusted.
In order to realize the advantages of the dynamic optimization power generation strategy, the invention adopts the following specific technical scheme:
according to one aspect of the invention, a photovoltaic micro-grid power generation method based on a diesel generator set comprises the following steps:
s1, constructing an initial micro-grid power generation scheme according to parameters of a diesel generator set and parameters of a photovoltaic generator set;
s2, acquiring climate environment parameters when the initial micro-grid power generation scheme is used;
s3, adjusting the initial micro-grid power generation scheme according to the climate environment parameters to obtain an advanced micro-grid power generation scheme;
s4, acquiring real-time operation parameters of the advanced micro-grid power generation scheme, and analyzing load balance of the advanced micro-grid power generation scheme to obtain power generation load parameters;
s5, optimizing and updating the load balance of the advanced micro-grid power generation scheme according to the power generation load parameters to obtain a real-time micro-grid power generation scheme, and generating a corresponding power generation scheme according to the real-time micro-grid power generation scheme;
S6, adjusting the power generation scheme according to the climate environment parameters and the real-time micro-grid power generation scheme, and calculating micro-grid power generation data according to the real-time micro-grid power generation scheme and the adjusted power generation scheme;
and S7, generating energy storage parameters and an emergency power generation scheme according to the micro-grid power generation data, constructing a power generation early warning rule according to the energy storage parameters, and carrying out real-time monitoring feedback on the real-time micro-grid power generation scheme by utilizing the power generation early warning rule.
As a preferred scheme, the initial micro-grid power generation scheme is adjusted according to the climate environment parameters, and the advanced micro-grid power generation scheme is obtained by the following steps:
s31, presetting a climate characteristic extraction rule, and extracting characteristic values of climate environment parameters according to the climate characteristic extraction rule to obtain environment characteristic parameters;
s32, analyzing motor influence of the diesel generator set and the photovoltaic generator set according to the environmental characteristic parameters, and adjusting an initial micro-grid power generation scheme according to analysis results;
and S33, verifying the adjusted initial micro-grid power generation scheme, and outputting the verified initial micro-grid power generation scheme as a further micro-grid power generation scheme.
As a preferred scheme, motor influence analysis is performed on the diesel generator set and the photovoltaic generator set according to environmental characteristic parameters, and the initial micro-grid power generation scheme is adjusted according to analysis results, including the following steps:
S321, presetting an environmental characteristic influence rule, and classifying environmental characteristic parameters to obtain an environmental influence value;
s322, weighting the environmental impact value according to the environmental characteristic impact rule, and calculating a motor impact parameter according to the weighted environmental impact value;
s323, presetting a motor adjustment scheme threshold, and matching the motor adjustment scheme threshold with motor influence parameters to obtain a micro-grid power generation adjustment scheme;
s324, the micro-grid power generation adjustment scheme is used for adjusting the initial micro-grid power generation scheme, and the adjusted initial micro-grid power generation scheme is verified.
As a preferred scheme, collecting real-time operation parameters of the advanced micro-grid power generation scheme, analyzing load balance of the advanced micro-grid power generation scheme, and obtaining power generation load parameters comprises the following steps:
s41, setting a data acquisition sensor according to parameters of a diesel generator set and parameters of a photovoltaic generator set;
s42, acquiring real-time operation parameters of the advanced micro-grid power generation scheme according to a data acquisition sensor, and performing data preprocessing on the acquired real-time operation parameters, wherein the real-time operation parameters comprise power output data, voltage data, current data, frequency data and motor load demand data;
S43, carrying out load balance analysis on the real-time operation parameters after the data preprocessing, and obtaining power generation load parameters of the real-time operation parameters;
s44, verifying and optimizing the power generation load parameters, and outputting the optimized power generation load parameters.
As a preferred scheme, load balance analysis is performed on the real-time operation parameters after data preprocessing, and power generation load parameters of the real-time operation parameters are obtained, which comprises the following steps:
s431, presetting a motor population classification rule, and carrying out population classification on real-time operation parameters according to the motor population classification rule to obtain motor population parameters;
s432, performing symbiotic optimization on motor population parameters by adopting a symbiotic particle swarm optimization algorithm, and fusing the symbiotic optimized motor population parameters to obtain motor iteration parameters;
s433, analyzing and verifying the motor iteration parameters, and calculating motor production consumption parameters according to the verified motor iteration parameters;
s434, presetting a load balance threshold, and matching production and consumption parameters of the motor through the load balance threshold to obtain a load balance analysis result;
s435, acquiring a diesel generator set load parameter and a photovoltaic generator set load parameter according to a load balance analysis result;
And S436, carrying out balance judgment on the load parameters of the diesel generator set and the load parameters of the photovoltaic generator set, and carrying out adjustment and optimization according to the judgment result.
As a preferred scheme, the motor population parameters are subjected to symbiotic optimization by adopting a symbiotic particle swarm optimization algorithm, and the symbiotic optimized motor population parameters are fused, so that the motor iteration parameters are obtained, and the method comprises the following steps:
s4321, presetting a motor initialization scheme, carrying out initialization adjustment on motor population parameters through the motor initialization scheme, and constructing motor particle swarm data by taking motors in the motor population parameters as particles;
s4322, performing symbiotic interaction analysis on the motor particles in the motor particle swarm data;
s4323, updating motor particles according to the symbiotic interaction analysis result, and fusing the updated motor particles to obtain motor iteration parameters;
s4324, verifying the motor iteration parameters and outputting the verified motor iteration parameters.
As a preferred scheme, a calculation formula for performing symbiotic interaction analysis on motor particles in motor particle swarm data is as follows:
wherein i is the dimension of the motor particle;
c is the time index of the motor particles;
the speed of the ith motor particle at time c;
a is the inertial weight of the motor particles;
b n is the acceleration coefficient of motor particles;
a random number that is a motor particle;
the optimal position from the ith motor particle to the moment c;
gN i the optimal position of the ith motor particle at all moments;
the position of the ith motor particle at time c.
As a preferred scheme, the method for obtaining the load parameters of the diesel generator set and the load parameters of the photovoltaic generator set according to the load balance analysis result comprises the following steps:
s4351, evaluating energy supply data of the motor unit according to motor load demand data in the real-time operation parameters;
s4352, analyzing the energy supply data of the motor group to obtain an energy supply data optimization target of the motor group;
s4353, carrying out load balance analysis according to the motor group energy supply data optimization target and the motor group energy supply data;
s4354, calculating the load parameters of the diesel generator set and the load parameters of the photovoltaic generator set according to the load balance analysis result.
As a preferred scheme, optimizing and updating load balance of the advanced micro-grid power generation scheme according to power generation load parameters to obtain a real-time micro-grid power generation scheme, and generating a corresponding power generation scheme according to the real-time micro-grid power generation scheme, the method comprises the following steps:
S51, presetting a power generation parameter optimization rule, and matching the power generation parameter optimization rule with power generation load parameters;
s52, optimizing and adjusting the advanced micro-grid power generation scheme according to the matching result of the power generation parameter optimization rule and the power generation load parameter;
and S53, analyzing and verifying the optimized and adjusted advanced micro-grid power generation scheme, taking the verified advanced micro-grid power generation scheme as a real-time micro-grid power generation scheme, and generating a power generation scheme according to the real-time micro-grid power generation scheme.
According to another aspect of the invention, a photovoltaic microgrid power generation system based on a diesel-electric set, the system comprising:
the initial scheme construction module is used for constructing an initial micro-grid power generation scheme according to the parameters of the diesel generator set and the parameters of the photovoltaic generator set;
the climate environment acquisition module is used for acquiring climate environment parameters when the initial micro-grid power generation scheme is used;
the advanced scheme acquisition module is used for adjusting the initial micro-grid power generation scheme according to the climate environment parameters to acquire an advanced micro-grid power generation scheme;
the load parameter acquisition module is used for acquiring real-time operation parameters of the advanced micro-grid power generation scheme, analyzing load balance of the advanced micro-grid power generation scheme and obtaining power generation load parameters;
The power generation scheme construction module is used for optimizing and updating the load balance of the advanced micro-grid power generation scheme according to the power generation load parameters to obtain a real-time micro-grid power generation scheme, and generating a corresponding power generation scheme according to the real-time micro-grid power generation scheme;
the scheme adjustment module is used for adjusting the power generation scheme according to the climate environment parameters and the real-time micro-grid power generation scheme, and calculating micro-grid power generation data according to the real-time micro-grid power generation scheme and the adjusted power generation scheme;
the monitoring and early warning module is used for generating energy storage parameters and an emergency power generation scheme according to the micro-grid power generation data, constructing a power generation early warning rule according to the energy storage parameters, and carrying out real-time monitoring and feedback on the real-time micro-grid power generation scheme by utilizing the power generation early warning rule;
the system comprises an initial scheme construction module, a climate environment acquisition module, an advanced scheme acquisition module, a load parameter acquisition module, a power generation scheme construction module, a scheme adjustment module and a monitoring and early warning module which are connected in sequence.
Compared with the prior art, the invention provides a photovoltaic micro-grid power generation method and system based on a diesel generator set, which have the following beneficial effects:
(1) The invention can dynamically adjust the power generation strategy by monitoring the environmental parameters and the running state in real time, adapt to climate change and load demand, furthest reduce energy waste, predict the energy demand in advance and make corresponding adjustment, ensure that the optimal energy distribution is realized among different power generation units by analyzing and optimizing the load parameters in real time, improve the running efficiency of the whole system and reduce unnecessary energy consumption.
(2) According to the invention, by continuously monitoring and adjusting the power generation plan, the micro-grid can ensure stable operation under different climatic conditions, and when a diesel generator set or a photovoltaic generator set has problems, the system can be adjusted in real time to ensure the continuity of power supply, and by optimizing the use of the photovoltaic power generation and the diesel generator set, the micro-grid can maximize the use of the renewable energy source according to the availability of the renewable energy source, so that the dependence on fossil fuel and related carbon emission are reduced.
(3) According to the invention, potential maintenance requirements are predicted through continuous data acquisition and analysis, sudden power failure caused by equipment failure is prevented, preventive maintenance is realized, the service life of the equipment is prolonged, maintenance and replacement cost is reduced through optimized management of the power generation equipment, the photovoltaic power generation and the diesel generating set have different characteristics and operation modes, and meanwhile, the advantages of the photovoltaic power generation are fully utilized through particle symbiotic interaction, the operation time and fuel consumption of the diesel generating set are reduced, and the complementary utilization of energy is realized.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings that are needed in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a method flow diagram of a photovoltaic micro-grid power generation method based on a diesel generator set according to an embodiment of the present invention;
fig. 2 is a system block diagram of a photovoltaic micro-grid power generation system based on a diesel-electric generator set according to an embodiment of the present invention.
In the figure:
1. an initial scheme construction module; 2. a climate environment acquisition module; 3. a step-by-step scheme acquisition module; 4. the load parameter acquisition module; 5. a power generation scheme construction module; 6. a scheme adjustment module; 7. and the monitoring and early warning module.
Detailed Description
For the purpose of further illustrating the various embodiments, the present invention provides the accompanying drawings, which are a part of the disclosure of the present invention, and which are mainly used to illustrate the embodiments and, together with the description, serve to explain the principles of the embodiments, and with reference to these descriptions, one skilled in the art will recognize other possible implementations and advantages of the present invention, wherein elements are not drawn to scale, and like reference numerals are generally used to designate like elements.
According to the embodiment of the invention, a photovoltaic micro-grid power generation method and system based on a diesel generator set are provided.
The invention will be further described with reference to the accompanying drawings and detailed description, according to an embodiment of the invention, as shown in fig. 1, a photovoltaic micro-grid power generation method based on a diesel generator set according to an embodiment of the invention comprises the following steps:
S1, constructing an initial micro-grid power generation scheme according to parameters of a diesel generator set and parameters of a photovoltaic generator set;
specifically, relevant parameter data of the diesel generator set and the photovoltaic generator set are collected, including rated power, power generation efficiency, fuel consumption rate, peak power, power generation capacity curve and the like, load demands of the micro-grid are determined, including load types such as families, businesses, industries and the like, the load power demands, running time and mode of the loads are determined, and illumination conditions of the place where the micro-grid is located, including average sunlight time, illumination intensity, illumination change curve and the like, are analyzed.
According to load requirements and illumination conditions, the power of the diesel generator set and the photovoltaic generator set is initially distributed, the relative power proportion of the diesel generator set and the photovoltaic generator set is determined according to the peak value of the load requirements and the change of the illumination conditions, whether standby energy sources such as an energy storage system or other renewable energy source equipment are required to be introduced or not is considered according to the reliability requirements of the micro-grid so as to provide additional power support, the operation of the diesel generator set and the photovoltaic generator set is dynamically adjusted according to the real-time load requirements and the illumination conditions through an optimized scheduling algorithm, the optimal utilization and the load balance of the energy sources are realized, and the established initial micro-grid power generation scheme is subjected to system evaluation including comprehensive evaluation and analysis on the aspects of economy, reliability, environmental influence and the like.
S2, acquiring climate environment parameters when the initial micro-grid power generation scheme is used;
specifically, weather data provided by a local weather station or a weather department is obtained, wherein the weather data comprises parameters such as average sunlight time, illumination intensity, temperature, humidity, wind speed and the like, the data can provide information about illumination conditions, air temperature, humidity, wind energy and the like, a basis is provided for a micro-grid power generation scheme, and weather forecast data of a local future period is obtained by utilizing an online weather forecast service.
The GIS technology is used for acquiring local geographic environment parameters such as sunlight distribution, topography, vegetation coverage and the like, performing field investigation, observing and recording local weather environment characteristics, acquiring more accurate weather environment parameters by observing indexes such as solar radiation, wind speed, temperature and humidity and the like and knowing local seasonal change characteristics, performing data simulation and model analysis according to the existing weather data and models to obtain corresponding weather environment parameters, and calculating and predicting the weather environment parameters by using historical weather data and local weather site observation data through the models.
S3, adjusting the initial micro-grid power generation scheme according to the climate environment parameters to obtain an advanced micro-grid power generation scheme;
Specifically, the initial micro-grid power generation scheme is adjusted according to the climate environment parameters, and the advanced micro-grid power generation scheme is obtained by the following steps:
s31, presetting a climate characteristic extraction rule, and extracting characteristic values of climate environment parameters according to the climate characteristic extraction rule to obtain environment characteristic parameters;
specifically, firstly, the weather features such as sunlight time, temperature, humidity, wind speed and the like are determined, suitable weather features are selected according to requirements, weather feature extraction rules are defined according to professional knowledge and experience, the rules can be methods based on mathematical models, empirical formulas or statistical analysis and the like, for example, a rule can be defined for the sunlight time, if a certain threshold value is exceeded, the sunlight is sunny, weather data related to the weather features are collected, the weather data are obtained through a weather station, a weather department, an online weather data service or other data sources, the data quality and accuracy are ensured, the characteristic value extraction is carried out on the weather environment parameters according to preset weather feature extraction rules, calculation or judgment is carried out on each weather feature according to the rule, and the result is converted into a characteristic value, for example, for the temperature feature, the characteristic values such as the highest temperature, the lowest temperature, the average temperature and the like can be extracted.
S32, analyzing motor influence of the diesel generator set and the photovoltaic generator set according to the environmental characteristic parameters, and adjusting an initial micro-grid power generation scheme according to analysis results;
specifically, the motor influence analysis is performed on the diesel generator set and the photovoltaic generator set according to the environmental characteristic parameters, and the initial micro-grid power generation scheme is adjusted according to the analysis result, which comprises the following steps:
s321, presetting an environmental characteristic influence rule, and classifying environmental characteristic parameters to obtain an environmental influence value;
specifically, environmental characteristic influence rules are determined, and according to requirements and expertise, environmental characteristic influence rules are preset, wherein the rules are obtained based on methods such as experience, domain knowledge or model analysis, for example, the rules are set according to sunlight time and illumination intensity for photovoltaic power generation, and when the sunlight time is within a certain range and the illumination intensity is higher than a certain threshold, the environmental influence value is positive, and conversely, the environmental influence value is negative.
Classifying the environmental characteristic parameters according to preset environmental characteristic influence rules, judging or calculating each environmental characteristic parameter according to the rules, classifying the environmental characteristic parameters into different influence categories, for example, classifying the temperature into three categories of high temperature, proper temperature and low temperature according to the preset rules for the temperature characteristics.
According to the classification result of the environmental characteristic parameters, corresponding environmental impact values are given to each category, different weights or impact degrees can be set for different categories according to rules, for example, for a high Wen Leibie, a higher environmental impact value can be set, for a proper temperature category, a lower environmental impact value can be set, the impact values of different environmental characteristic parameters are integrated, a final environmental impact value is obtained, according to different requirements, a weighted average method, an addition method or other integrated methods are adopted, and the integrated value can be used for evaluating the impact degree of the environment on system performance or other indexes.
S322, weighting the environmental impact value according to the environmental characteristic impact rule, and calculating a motor impact parameter according to the weighted environmental impact value;
specifically, the weighted environmental impact value is calculated to obtain a motor impact parameter, a weighted average method can be used to calculate the motor impact parameter, wherein the impact value of each environmental characteristic parameter is multiplied by a corresponding weight, then weighted average is performed, further analysis and application are performed according to the calculated motor impact parameter, and the motor impact value is used to evaluate the performance or other index change condition of the motor under different environmental conditions, and different analysis and decision are performed according to specific application requirements, such as optimizing a motor control strategy, adjusting equipment parameters or making an operation and maintenance plan.
S323, presetting a motor adjustment scheme threshold, and matching the motor adjustment scheme threshold with motor influence parameters to obtain a micro-grid power generation adjustment scheme;
s324, the micro-grid power generation adjustment scheme is used for adjusting the initial micro-grid power generation scheme, and the adjusted initial micro-grid power generation scheme is verified.
Specifically, according to the requirements and the system characteristics, the motor adjustment scheme thresholds are preset, which may be obtained based on methods such as experience, domain knowledge or model analysis, for example, a power threshold is preset for the photovoltaic power generation system, for example, when the motor influence parameter exceeds the threshold, adjustment is required, the preset motor adjustment scheme threshold is matched with the motor influence parameter, and according to the value of the motor influence parameter, the motor adjustment scheme threshold is compared with the preset threshold to determine whether adjustment is required, for example, if the motor influence parameter exceeds the preset power threshold, it is indicated that the system is in an unstable state and adjustment is required.
According to the matching result, a micro-grid power generation adjustment scheme is designed, different adjustment strategies are selected according to specific application requirements and system characteristics, for example, adjustment is achieved by adjusting power output of a photovoltaic power generation system, introducing standby power generation equipment or adjusting an operation mode of an energy storage system, the designed micro-grid power generation adjustment scheme is evaluated, optimization is carried out according to feedback and actual operation conditions of the system, and the adjustment scheme is adjusted and improved by monitoring the operation state and adjustment effect of the system so as to improve stability and performance of the system.
And S33, verifying the adjusted initial micro-grid power generation scheme, and outputting the verified initial micro-grid power generation scheme as a further micro-grid power generation scheme.
Specifically, actual operation data including load data, power supply data, environment data and the like of a power system are collected, professional power system simulation software is used for performing simulation verification on an adjusted initial micro-grid power generation scheme based on the actual data, and performance of the scheme under different working conditions including stability, reliability, economy and the like is evaluated through simulation.
The method comprises the steps of performing experimental verification in an actual micro-grid system, performing actual operation and test on the micro-grid system according to an adjusted initial micro-grid power generation scheme to evaluate the actual application effect of the scheme, such as adjusting the power output of the photovoltaic power generation system, introducing standby power generation equipment or adjusting the operation mode of an energy storage system, observing the response and performance of the system, analyzing the adjusted initial micro-grid power generation scheme according to actual data, simulation results and experimental verification results, evaluating the effectiveness and feasibility of the scheme, determining whether the system requirement and different working conditions can be met, outputting the verified initial micro-grid power generation scheme as a advanced micro-grid power generation scheme according to the verification results, wherein the advanced scheme can be based on the improvement of the adjusted scheme or the optimization based on the verification results, finally ensuring the feasibility and the feasibility of the advanced micro-grid power generation scheme and comprises the contents of related parameters, control strategies, operation plans and the like.
S4, acquiring real-time operation parameters of the advanced micro-grid power generation scheme, and analyzing load balance of the advanced micro-grid power generation scheme to obtain power generation load parameters;
specifically, collecting real-time operation parameters of the advanced micro-grid power generation scheme, analyzing load balance of the advanced micro-grid power generation scheme, and obtaining power generation load parameters comprises the following steps:
s41, setting a data acquisition sensor according to parameters of a diesel generator set and parameters of a photovoltaic generator set;
specifically, parameters of the diesel generator set and the photovoltaic generator set which need to be collected are determined. The parameters can comprise power output, current, voltage, frequency, temperature, fuel consumption and the like of the generator set, a proper sensor is selected according to the parameters required to be acquired, the selection of the sensor can consider the factors such as measurement range, precision, stability, reliability, cost, compatibility with a system and the like of the parameters, for example, a current sensor, a voltage sensor, a temperature sensor, a flow sensor and the like, the sensor is installed according to the installation requirement of the sensor and the arrangement of the generator set, the sensor is correctly connected to the corresponding parameter measurement point of the generator set, the accuracy and reliability of signals are ensured, the sensor is connected with a data acquisition device so as to transmit data acquired by the sensor to the data acquisition device, the data acquisition device can be a data acquisition device, a data recording device or other data acquisition system, the data acquisition system can be configured according to the requirements of the sensor and the data acquisition device, the data acquisition frequency, the data storage mode, the data transmission mode and the like are set, the alarm and fault detection function can be configured according to the requirements, the real-time and the remote configuration and the monitoring function are finished, and the data can be calibrated and calibrated by the sensor.
S42, acquiring real-time operation parameters of the advanced micro-grid power generation scheme according to a data acquisition sensor, and performing data preprocessing on the acquired real-time operation parameters, wherein the real-time operation parameters comprise power output data, voltage data, current data, frequency data and motor load demand data;
specifically, according to the foregoing steps, corresponding sensors are installed to collect real-time operation parameters, the sensors may include a power sensor, a voltage sensor, a current sensor, a frequency sensor and the like, and a load sensor that may be required, the sensors are connected with a data collection device, so as to ensure that data collected by the sensors can be transmitted to the data collection device, the data collection device may be a data collector, a data recorder or other data collection systems, real-time operation parameter data collected by the sensors are obtained through the data collection device, the parameters may include power output data, voltage data, current data, frequency data, motor load demand data and the like, the obtained real-time operation parameter data are preprocessed to improve reliability and accuracy of the data, the preprocessing may include steps of filtering, noise reduction, abnormal value detection, correction and the like, for example, smoothing data by using a sliding window averaging method, calculating a change rate by using a differential algorithm, applying a statistical method, detecting and correcting abnormal values and the like, real-time operation parameter data collected by the sensors are monitored and analyzed, the real-time operation parameter data collected by the sensors are obtained through the data collection device, the real-time operation parameter data collected by the sensors may include power output data, voltage data, current data, frequency data and motor load demand data, and the like are optimized, the obtained real-time operation parameter data can be analyzed by the power generation network, the real-time operation parameter data can be optimized, the reliability and the power generation network has a real-time operation parameter has a real-time operation performance has a real-time performance and a power system.
S43, carrying out load balance analysis on the real-time operation parameters after the data preprocessing, and obtaining power generation load parameters of the real-time operation parameters;
specifically, load balance analysis is performed on the real-time operation parameters after data preprocessing, and power generation load parameters of the real-time operation parameters are obtained, and the method comprises the following steps:
s431, presetting a motor population classification rule, and carrying out population classification on real-time operation parameters according to the motor population classification rule to obtain motor population parameters;
specifically, first, according to actual conditions and requirements, classification rules of motor groups are determined, the rules can be based on parameters such as power output, voltage, current, frequency and the like of motors and other related operation parameters, for example, motors with power output in a certain range are defined as one type, motors with voltage in a certain range are defined as another type, and the like, according to requirements, a plurality of classification rules can be defined, a data acquisition sensor can be used for acquiring real-time operation parameters of the motors, including power output data, voltage data, current data, frequency data and the like, and according to preset motor group classification rules, the real-time operation parameters are subjected to group classification, the motors are classified into corresponding groups according to numerical values of the parameters and the classification rules, and the methods such as condition judgment and threshold judgment can be adopted for classification.
And according to the population classification result, acquiring parameters of each motor population, counting parameters such as the number, average power output, average voltage, average current and the like of the motors in each population, so as to acquire the characteristics and the performances of the motor population, and carrying out data analysis and application on the acquired motor population parameters. Further data analysis, fault diagnosis, optimization adjustment and the like can be performed according to the characteristics and performances of the motor population, and the analysis and the application can help to know the running state of the motor population, evaluate the performances, improve the efficiency and the like.
S432, performing symbiotic optimization on motor population parameters by adopting a symbiotic particle swarm optimization algorithm, and fusing the symbiotic optimized motor population parameters to obtain motor iteration parameters;
specifically, the motor population parameters are subjected to symbiotic optimization by adopting a symbiotic particle swarm optimization algorithm, and the symbiotic optimized motor population parameters are fused, so that the motor iteration parameters are obtained, and the method comprises the following steps:
s4321, presetting a motor initialization scheme, carrying out initialization adjustment on motor population parameters through the motor initialization scheme, and constructing motor particle swarm data by taking motors in the motor population parameters as particles;
specifically, the motor population parameters are determined, the motor population parameters mainly comprise basic parameters such as motor numbers, models, power, speed and the like, a motor initialization strategy is set, different strategies such as random initialization, uniform initialization and the like can be adopted to initialize the motor population parameters, motor population parameter values are randomly or uniformly initialized, for example, random numbers in an initial speed value range are randomly distributed to each motor to serve as initial speed parameter values, each motor serves as a particle according to the motor population parameter table, a motor particle swarm data structure is constructed, the particles comprise information such as motor numbers, parameter values and the like, parameter adjustment is carried out on the motor particle swarm, for example, fine adjustment is carried out on the initial motor speed according to motor load conditions, so that the motor particle swarm data is more reasonable, final motor particle swarm data is saved, the data structure can be in the form of a two-dimensional array, a structural body and the like, and complete information of each motor particle is regularly updated according to requirements, for example, parameters are collected and updated in real time in the motor operation process.
S4322, performing symbiotic interaction analysis on the motor particles in the motor particle swarm data;
specifically, a calculation formula for performing symbiotic interaction analysis on motor particles in motor particle swarm data is as follows:
wherein i is the dimension of the motor particle;
c is the time index of the motor particles;
the speed of the ith motor particle at time c;
a is the inertial weight of the motor particles;
b n is the acceleration coefficient of motor particles;
a random number that is a motor particle;
the optimal position from the ith motor particle to the moment c;
gN i the optimal position of the ith motor particle at all moments;
the position of the ith motor particle at time c.
S4323, updating motor particles according to the symbiotic interaction analysis result, and fusing the updated motor particles to obtain motor iteration parameters;
specifically, symbiotic interaction analysis is performed on all motors in a power grid, the mutual influence relation of physical quantities such as power, current and the like among the motors is analyzed, the fitness of each motor particle is evaluated according to the interaction analysis result, namely the contribution degree of the motor in the power grid, motor particles are selected for operation, motor particles with high fitness are selected for retention, elimination with low fitness is performed, cross operation is performed on the retained motor particles, part of motor parameter values such as speed, position and the like are exchanged, new motor particles are generated, mutation operation is performed on the new motor particles, some values of the motor parameter values are randomly changed with a certain probability, a wider solution space is explored, the newly generated motor particles and the original motor particles are fused, an updated motor particle group is constructed, iterative calculation is performed on the motor particle group, iterative values of the motor parameters are continuously obtained, and the optimal motor iterative parameter values are judged according to convergence conditions.
S4324, verifying the motor iteration parameters and outputting the verified motor iteration parameters.
Specifically, a motor iteration parameter verification scene is set. For example, a power grid simulation scene is established, running conditions such as motor load are set, the obtained motor iteration parameters are imported into a verification scene, the motor running parameters are set, the power grid simulation running is started, power grid running indexes such as total current, voltage and the like are observed to see whether the total current, the voltage and the like are in an allowable range, and running states such as speed and current of each motor are analyzed to meet design requirements. The method can compare the difference before and after the non-optimization, record key data such as current and voltage waveforms in the running process of the power grid, analyze the parameter optimization effect, evaluate the iterative parameter optimization effect of the motor according to the running result, and re-optimize the motor parameters if the iterative parameter optimization effect is not satisfied.
When the power grid simulation operation meets the design requirement, the motor iteration parameters are verified, the verified optimal motor iteration parameters are output, parameter values are stored in a data table or file form, and according to actual requirements, the motor iteration parameters can be imported into a motor control system to optimize actual motor operation control.
S433, analyzing and verifying the motor iteration parameters, and calculating motor production consumption parameters according to the verified motor iteration parameters;
setting a motor iteration parameter verification scene, such as a power grid simulation scene, setting operation conditions of a motor load and the like, importing the acquired motor iteration parameters into the verification scene, setting motor operation parameters, starting the power grid simulation operation, observing whether power grid operation indexes, such as total current, voltage and the like, are in an allowable range, analyzing the operation states of each motor, such as whether the speed and the current meet the design requirements, comparing differences before and after non-optimization, recording key data, such as current and voltage waveforms, in the power grid operation process, analyzing the parameter optimization effect, evaluating the motor iteration parameter optimization effect according to the operation result, if the key data do not meet the parameter optimization effect, re-optimizing the motor parameter when the power grid simulation operation meets the design requirements, indicating that the motor iteration parameters pass verification, outputting the verified optimal motor iteration parameters, such as saving parameter values in a data table or file form, importing the motor iteration parameters into a motor control system according to actual requirements, and optimizing actual motor operation control.
S434, presetting a load balance threshold, and matching production and consumption parameters of the motor through the load balance threshold to obtain a load balance analysis result;
specifically, the load balancing threshold is determined, which generally depends on design specifications and application requirements of the motor, for example, if the rated load of the motor is 1000 watts, but in actual operation, the motor is expected to operate below 800 watts to reduce wear and prolong service life, then 800 watts may be set as the load balancing threshold, the operating parameters of the motor under different working loads may be collected, the parameters may include power consumption, current, rotation speed and the like, the collected data are completed through built-in sensors and monitoring systems, the load balancing threshold is used for matching and analyzing, for example, the operating condition of the motor when the threshold is exceeded is analyzed, whether the overheat, overload and the like exist is seen, the operating state of the motor is known through analysis results, possible problems are predicted, and corresponding decisions are made, for example, whether the working load needs to be adjusted or maintenance is needed.
S435, acquiring a diesel generator set load parameter and a photovoltaic generator set load parameter according to a load balance analysis result;
Specifically, the method for obtaining the load parameters of the diesel generator set and the load parameters of the photovoltaic generator set according to the load balance analysis result comprises the following steps:
s4351, evaluating energy supply data of the motor unit according to motor load demand data in the real-time operation parameters;
specifically, real-time operation parameters of each motor in the motor unit are obtained, real-time values such as current and power are included, data of supply conditions of external energy sources in the motor unit are collected, such as generating capacity of the motor unit, power supply capacity of a power grid and the like, total load demands of the motors in the motor unit and the supply conditions of the external energy sources are compared, whether the supply and demand differences exist or not is judged, if the supply and demand differences are large, load types of different motors are further analyzed, base loads and peak loads are distinguished, internal scheduling capacity of the motor unit is evaluated according to the load types, low-priority motor loads are adjusted, supply and demand are balanced, if the internal scheduling cannot be met, supply and demand evaluation data of the motor unit in different time periods are recorded, load characteristics and trends of the motor unit are analyzed, internal energy source configuration of the motor unit is timely adjusted according to evaluation results, supply and demand collaborative operation management of the motor unit is optimized, and if necessary, capacity expansion demands of the motor unit are provided, and long-term energy source supply capacity of the motor unit is guaranteed.
S4352, analyzing the energy supply data of the motor group to obtain an energy supply data optimization target of the motor group;
specifically, collecting daily supply data of the internal and external energy supply devices of the motor unit, such as a generator set, a power grid and the like, carrying out statistical analysis on the data, knowing the coordination relation between the internal and external energy supply of the motor unit in different time periods, such as workdays, holidays and supply characteristics, identifying potential optimization space, comparing load demand data of the motor unit, identifying supply-demand difference rules, finding out a period of insufficient supply, evaluating potential effects of internal and external energy scheduling optimization according to the condition of insufficient supply, considering the factors of long-term development planning and energy cost of the motor unit, predicting the demand change of future supply capacity, integrating the factors, determining main targets of the energy supply optimization of the motor unit, such as improvement of utilization rate, reduction of cost and the like, refining the optimization targets into operable indexes, such as internal and external energy scheduling coordination degree, supply satisfaction rate and the like, carrying out quantitative analysis on the optimization targets and indexes, and providing basis for the optimization of the subsequent energy supply.
S4353, carrying out load balance analysis according to the motor group energy supply data optimization target and the motor group energy supply data;
Specifically, daily supply capacity data of each energy supply device inside and outside the motor group are collected, motor load demand data in the motor group are collected, a total load curve of the motor group is counted, the total load curve and the total supply capacity curve are compared, a load peak period and a supply shortage period are identified, further analysis is carried out on the supply shortage period according to an energy supply optimization target, supply allowance of each supply device inside and outside the period is analyzed, scheduling potential of each supply device inside and outside the period is evaluated, cost factors are considered, balance is carried out on loads by preferentially using the internal supply device, an adjustable non-critical load motor is identified according to load types, numerical simulation is carried out, an optimal scheduling scheme of the internal and external supply devices and the non-critical load is designed, effects of the optimal scheme on balanced loads and meeting targets are evaluated, and an optimal coordinated scheduling scheme of the internal and external supply devices and the motor loads is obtained according to a result optimization scheme.
S4354, calculating the load parameters of the diesel generator set and the load parameters of the photovoltaic generator set according to the load balance analysis result.
Specifically, daily power generation data of the diesel generator set and the photovoltaic generator set are collected, the additional load quantity required to be provided by the diesel generator set and the photovoltaic generator set in different periods is determined according to a load balance analysis result, the power generation costs of the two power generation modes, such as fuel cost and operation and maintenance cost, are compared, according to cost factors, the photovoltaic generator with lower cost is preferentially utilized to bear the additional load, the additional power generation required to be provided by the photovoltaic generator set in each period is calculated and used as a load parameter of the photovoltaic generator set, whether the additional power generation required to be provided by the diesel generator set can meet the additional load demand is evaluated, if the additional power generation required to be provided by the diesel generator set cannot be met, the load parameters of the photovoltaic generator set and the diesel generator set are synthesized, whether the total load demand can be met is evaluated, and according to the evaluation result, parameters are optimized when necessary, such as the power generation quantity in a certain period is improved, and the optimal load operation parameters of the photovoltaic generator set and the diesel generator set are determined.
And S436, carrying out balance judgment on the load parameters of the diesel generator set and the load parameters of the photovoltaic generator set, and carrying out adjustment and optimization according to the judgment result.
Specifically, the load operation parameters of the diesel generator set and the photovoltaic generator set obtained through earlier calculation are collected, the parameters of the two groups of generator sets in each time period are compared, whether the parameters are in an allowable error range or not is judged, if the parameters are out of the allowable range, the reasons for unbalance are further analyzed, if new factors are considered, an adjustment object is selected according to the unbalance degree, the parameter with smaller load is preferentially adjusted, the parameter with lower cost is moderately increased according to the factors such as the generation cost, or the parameter with higher cost is reduced, numerical simulation is carried out, whether the adjusted new parameter can realize load balancing is evaluated, if unbalanced, cyclic adjustment is continued until the parameters are in the allowable range, meanwhile, the operation efficiency and the cost of the adjusted generator sets are considered, a global optimal solution is found, the load operation parameters of the final generator sets after balanced judgment and multiple optimization are determined, the parameters are transmitted to the generator sets in real time, and the load scheduling operation is dynamically optimized.
S44, verifying and optimizing the power generation load parameters, and outputting the optimized power generation load parameters.
Specifically, a simulated operation environment of the generator set is established, a load curve and other operation conditions are set, the calculated and optimized load parameters of the generator set are imported into the simulated environment to set the parameters of the generator set, the simulated operation is started, whether the generated energy of the generator set and the voltage and the current of the system are stable within a reasonable range or not is observed, the load meeting condition and the load sharing proportion of the generator set in different time periods are analyzed, key index data are recorded, the actual load and parameter setting load are compared, the parameter optimization effect is evaluated, if the simulated operation result is unsatisfactory, the cause is found out according to the difference analysis and the parameters are optimized again, simulation verification and optimization are repeated until the system operation is satisfactory and stable, the finally optimized load parameters of the generator set are exported and stored, the parameters can be imported into the generator set control system to conduct real-time operation according to actual requirements, an automatic parameter optimizing mechanism is established, and the parameters are optimized periodically according to load changes.
S5, optimizing and updating the load balance of the advanced micro-grid power generation scheme according to the power generation load parameters to obtain a real-time micro-grid power generation scheme, and generating a corresponding power generation scheme according to the real-time micro-grid power generation scheme;
Specifically, optimizing and updating load balance of the advanced micro-grid power generation scheme according to power generation load parameters to obtain a real-time micro-grid power generation scheme, and generating a corresponding power generation scheme according to the real-time micro-grid power generation scheme comprises the following steps:
s51, presetting a power generation parameter optimization rule, and matching the power generation parameter optimization rule with power generation load parameters;
specifically, preset general rules of power generation parameter optimization, such as priority cost factors, system stability assurance and the like, optimize targets into quantifiable indexes, such as cost minimum values, load satisfaction rate maximum values and the like, analyze main factors affecting power generation parameters, such as generator set types, load types, running time and the like, design different power generation parameter optimization sub-rules, such as photovoltaic power generation priority on daily load change, diesel power generation priority guarantee basic loads, store the sub-rule codes as functions or models which can be called by an optimization algorithm, classify power generation load parameters, label main factor attributes of the influencing parameters, compare matching degrees of load parameter attributes and optimization sub-rules, apply the sub-rules with high matching degrees to load parameter optimization of corresponding types, record a matching relation table of the optimization rules and the load parameters, and select and apply corresponding optimization sub-rules according to matching relations in a subsequent optimization process.
S52, optimizing and adjusting the advanced micro-grid power generation scheme according to the matching result of the power generation parameter optimization rule and the power generation load parameter;
specifically, the advantages and disadvantages of the current microgrid power generation scheme are analyzed, the places where the scheme can be optimized, such as unbalanced load distribution and the like, are identified according to the parameter matching result, the targeted adjustment measures are designed according to various optimization sub-rules obtained through matching, such as increasing the flexibility of photovoltaic power generation in daily load fluctuation, numerical simulation is conducted, the potential effect of the adjustment measures is evaluated, the adjustment scheme is further perfected and refined according to the simulation result, such as increasing limiting conditions, the safety and reliability of the system are guaranteed, the power generation scheme after optimization is simulated and verified again, compared with the original scheme, the optimization effect is evaluated, such as cost reduction amplitude and the like, the optimal optimization adjustment scheme is determined according to actual requirements and evaluation results, and an actual power generation system is input, so that intelligent optimized microgrid power generation management is achieved.
And S53, analyzing and verifying the optimized and adjusted advanced micro-grid power generation scheme, taking the verified advanced micro-grid power generation scheme as a real-time micro-grid power generation scheme, and generating a power generation scheme according to the real-time micro-grid power generation scheme.
Specifically, a real-time operation simulation environment of the micro-grid is established, an optimized power generation scheme is imported, load curves at different time points are set, real-time operation conditions are simulated, simulation is started, whether various operation indexes meet requirements, such as voltage fluctuation, power generation capacity matching and the like, whether power generation distribution of the scheme at different time points is optimized or not is analyzed, key data are recorded, operation effects before and after optimization are compared, the defect of the scheme is further corrected according to verification results, simulation verification is repeated until the scheme stably operates to achieve a design target.
And finally, setting the optimized scheme as a real-time micro-grid power generation scheme, setting load parameters of the generator set at different time points according to the scheme, arranging the parameters into a real-time power generation scheme table, and automatically scheduling the power generation power of the generator set according to real-time by the table, so that the micro-grid real-time intelligent scheduling is realized, and the changing load requirements are met.
S6, adjusting the power generation scheme according to the climate environment parameters and the real-time micro-grid power generation scheme, and calculating micro-grid power generation data according to the real-time micro-grid power generation scheme and the adjusted power generation scheme;
specifically, the method includes the steps of collecting real-time data such as illumination intensity and temperature, predicting possible changes of photovoltaic power generation according to the environment parameters, comparing predicted values with values set by a real-time power generation scheme, identifying time periods needing to be adjusted, adjusting photovoltaic power generation power setting according to environmental influences for the time periods, simultaneously evaluating adjustment allowance of other generating sets, adjusting other generating sets to generate power, compensating for a photovoltaic power generation lowering part, ensuring that the total power generation is unchanged, only performing optimization adjustment, taking the adjusted power generation power scheme as a new scheme, calculating actual power generation at each time point according to the new scheme, counting micro-grid operation data such as total power generation, different power generation mode distribution and the like in an operation simulation mode, comparing the micro-grid operation data before and after adjustment, and evaluating the adjustment effect.
And S7, generating energy storage parameters and an emergency power generation scheme according to the micro-grid power generation data, constructing a power generation early warning rule according to the energy storage parameters, and carrying out real-time monitoring feedback on the real-time micro-grid power generation scheme by utilizing the power generation early warning rule.
Specifically, micro-grid power generation data are analyzed, load high peak value and power generation valley value time points are identified, capacity parameters of energy storage equipment are designed according to load curve forms, peak load requirements are met, emergency power generation equipment starting parameters are designed according to power generation valley values, power generation deficiency is made up, energy storage parameters and emergency power generation schemes are recorded, charging and discharging thresholds are set for the energy storage equipment according to load prediction, emergency power generation equipment starting thresholds are set, the thresholds are regularly recorded into a real-time monitoring system, the load and power generation conditions are monitored in real time, once an ultra-threshold event occurs, an early warning report is given, corresponding energy storage discharging or emergency power generation measures are started manually or automatically, the effect of the measures is monitored, and parameters are optimized according to feedback results, so that real-time supply and demand dynamic balance of the micro-grid is guaranteed.
According to another embodiment of the present invention, as shown in fig. 2, a photovoltaic micro-grid power generation system based on a diesel generator set, the system comprises:
The initial scheme construction module 1 is used for constructing an initial micro-grid power generation scheme according to the parameters of the diesel generator set and the parameters of the photovoltaic generator set;
the climate environment acquisition module 2 is used for acquiring climate environment parameters when the initial micro-grid power generation scheme is used;
the advanced scheme acquisition module 3 is used for adjusting the initial micro-grid power generation scheme according to the climate environment parameters to acquire an advanced micro-grid power generation scheme;
the load parameter acquisition module 4 is used for acquiring real-time operation parameters of the advanced micro-grid power generation scheme and analyzing load balance of the advanced micro-grid power generation scheme to obtain power generation load parameters;
the power generation scheme construction module 5 is used for optimizing and updating the load balance of the advanced micro-grid power generation scheme according to the power generation load parameters to obtain a real-time micro-grid power generation scheme, and generating a corresponding power generation scheme according to the real-time micro-grid power generation scheme;
the scheme adjustment module 6 is used for adjusting the power generation scheme according to the climate environment parameters and the real-time micro-grid power generation scheme, and calculating micro-grid power generation data according to the real-time micro-grid power generation scheme and the adjusted power generation scheme;
the monitoring and early warning module 7 is used for generating energy storage parameters and an emergency power generation scheme according to the micro-grid power generation data, constructing a power generation early warning rule according to the energy storage parameters, and carrying out real-time monitoring and feedback on the real-time micro-grid power generation scheme by utilizing the power generation early warning rule;
The system comprises an initial scheme construction module 1, a climate environment acquisition module 2, a step-by-step scheme acquisition module 3, a load parameter acquisition module 4, a power generation scheme construction module 5, a scheme adjustment module 6 and a monitoring and early warning module 7 which are sequentially connected.
In summary, by means of the above technical solution of the present invention, by monitoring environmental parameters and operation states in real time, the present invention can dynamically adjust power generation strategies, adapt to climate change and load demands, minimize energy waste, predict energy demands in advance and make corresponding adjustments, and ensure that optimal energy distribution is achieved between different power generation units through real-time analysis and optimization of load parameters, thereby improving operation efficiency of the whole system and reducing unnecessary energy consumption.
In addition, the micro-grid can ensure stable operation under different climatic conditions by continuously monitoring and adjusting the power generation plan, and when a diesel generator set or a photovoltaic generator set has problems, the system can be adjusted in real time to ensure the continuity of power supply, and the micro-grid can maximize the use of the photovoltaic power generation and the use of the diesel generator set according to the availability of renewable energy sources by optimizing the use of the photovoltaic power generation and the diesel generator set, so that the dependence on fossil fuel and related carbon emission are reduced.
In addition, the invention predicts potential maintenance requirements through continuous data acquisition and analysis, prevents sudden power failure caused by equipment failure, realizes preventive maintenance, prolongs the service life of the equipment, reduces maintenance and replacement cost, has different characteristics and operation modes of the photovoltaic power generation unit and the diesel generating unit, fully utilizes the advantages of the photovoltaic power generation unit through particle symbiotic interaction, reduces the operation time and fuel consumption of the diesel generating unit, and realizes complementary utilization of energy.
The foregoing description of the preferred embodiments of the invention is not intended to be limiting, but rather is intended to cover all modifications, equivalents, alternatives, and improvements that fall within the spirit and scope of the invention.
Claims (8)
1. The photovoltaic micro-grid power generation method based on the diesel generator set is characterized by comprising the following steps of:
s1, constructing an initial micro-grid power generation scheme according to parameters of a diesel generator set and parameters of a photovoltaic generator set;
s2, acquiring climate environment parameters when the initial micro-grid power generation scheme is used;
s3, adjusting the initial micro-grid power generation scheme according to the climate environment parameters to obtain an advanced micro-grid power generation scheme;
S4, acquiring real-time operation parameters of the advanced micro-grid power generation scheme, and analyzing load balance of the advanced micro-grid power generation scheme to obtain power generation load parameters;
s5, optimizing and updating the load balance of the advanced micro-grid power generation scheme according to the power generation load parameters to obtain a real-time micro-grid power generation scheme, and generating a corresponding power generation scheme according to the real-time micro-grid power generation scheme;
s6, adjusting the power generation scheme according to the climate environment parameters and the real-time micro-grid power generation scheme, and calculating micro-grid power generation data according to the real-time micro-grid power generation scheme and the adjusted power generation scheme;
s7, generating energy storage parameters and an emergency power generation scheme according to the micro-grid power generation data, constructing a power generation early warning rule according to the energy storage parameters, and carrying out real-time monitoring feedback on the real-time micro-grid power generation scheme by utilizing the power generation early warning rule;
the initial micro-grid power generation scheme is adjusted according to the climate environment parameters, and the advanced micro-grid power generation scheme is obtained by the following steps:
s31, presetting a climate characteristic extraction rule, and extracting characteristic values of climate environment parameters according to the climate characteristic extraction rule to obtain environment characteristic parameters;
s32, analyzing motor influence of the diesel generator set and the photovoltaic generator set according to the environmental characteristic parameters, and adjusting an initial micro-grid power generation scheme according to analysis results;
S33, verifying the adjusted initial micro-grid power generation scheme, and outputting the verified initial micro-grid power generation scheme as a advanced micro-grid power generation scheme;
the motor influence analysis is carried out on the diesel generator set and the photovoltaic generator set according to the environmental characteristic parameters, and the initial micro-grid power generation scheme is adjusted according to the analysis result, and the method comprises the following steps:
s321, presetting an environmental characteristic influence rule, and classifying environmental characteristic parameters to obtain an environmental influence value;
s322, weighting the environmental impact value according to the environmental characteristic impact rule, and calculating a motor impact parameter according to the weighted environmental impact value;
s323, presetting a motor adjustment scheme threshold, and matching the motor adjustment scheme threshold with motor influence parameters to obtain a micro-grid power generation adjustment scheme;
s324, the micro-grid power generation adjustment scheme is used for adjusting the initial micro-grid power generation scheme, and the adjusted initial micro-grid power generation scheme is verified.
2. The photovoltaic micro-grid power generation method based on the diesel generator set according to claim 1, wherein the steps of collecting real-time operation parameters of the advanced micro-grid power generation scheme, analyzing load balance of the advanced micro-grid power generation scheme, and obtaining power generation load parameters comprise the following steps:
S41, setting a data acquisition sensor according to parameters of a diesel generator set and parameters of a photovoltaic generator set;
s42, acquiring real-time operation parameters of the advanced micro-grid power generation scheme according to a data acquisition sensor, and performing data preprocessing on the acquired real-time operation parameters, wherein the real-time operation parameters comprise power output data, voltage data, current data, frequency data and motor load demand data;
s43, carrying out load balance analysis on the real-time operation parameters after the data preprocessing, and obtaining power generation load parameters of the real-time operation parameters;
s44, verifying and optimizing the power generation load parameters, and outputting the optimized power generation load parameters.
3. The photovoltaic micro-grid power generation method based on the diesel generator set according to claim 2, wherein the load balance analysis is performed on the real-time operation parameters after the data preprocessing, and the power generation load parameters of the real-time operation parameters are obtained, and the method comprises the following steps:
s431, presetting a motor population classification rule, and carrying out population classification on real-time operation parameters according to the motor population classification rule to obtain motor population parameters;
s432, performing symbiotic optimization on motor population parameters by adopting a symbiotic particle swarm optimization algorithm, and fusing the symbiotic optimized motor population parameters to obtain motor iteration parameters;
S433, analyzing and verifying the motor iteration parameters, and calculating motor production consumption parameters according to the verified motor iteration parameters;
s434, presetting a load balance threshold, and matching production and consumption parameters of the motor through the load balance threshold to obtain a load balance analysis result;
s435, acquiring a diesel generator set load parameter and a photovoltaic generator set load parameter according to a load balance analysis result;
and S436, carrying out balance judgment on the load parameters of the diesel generator set and the load parameters of the photovoltaic generator set, and carrying out adjustment and optimization according to the judgment result.
4. The photovoltaic micro-grid power generation method based on the diesel generator set according to claim 3, wherein the motor population parameters are subjected to symbiotic optimization by adopting a symbiotic particle swarm optimization algorithm, the symbiotic optimized motor population parameters are fused, and the motor iteration parameters are obtained by the following steps:
s4321, presetting a motor initialization scheme, carrying out initialization adjustment on motor population parameters through the motor initialization scheme, and constructing motor particle swarm data by taking motors in the motor population parameters as particles;
s4322, performing symbiotic interaction analysis on the motor particles in the motor particle swarm data;
S4323, updating motor particles according to the symbiotic interaction analysis result, and fusing the updated motor particles to obtain motor iteration parameters;
s4324, verifying the motor iteration parameters and outputting the verified motor iteration parameters.
5. The photovoltaic micro-grid power generation method based on the diesel generator set according to claim 4, wherein the calculation formula for performing symbiotic interaction analysis on motor particles in the motor particle swarm data is as follows:
wherein i is the dimension of the motor particle;
c is the time index of the motor particles;
the speed of the ith motor particle at time c;
a is the inertial weight of the motor particles;
b n is the acceleration coefficient of motor particles;
a random number that is a motor particle;
the optimal position from the ith motor particle to the moment c;
the optimal position of the ith motor particle at all moments;
the position of the ith motor particle at time c.
6. The photovoltaic micro-grid power generation method based on the diesel generator set according to claim 3, wherein the step of obtaining the diesel generator set load parameter and the photovoltaic generator set load parameter according to the load balance analysis result comprises the following steps:
S4351, evaluating energy supply data of the motor unit according to motor load demand data in the real-time operation parameters;
s4352, analyzing the energy supply data of the motor group to obtain an energy supply data optimization target of the motor group;
s4353, carrying out load balance analysis according to the motor group energy supply data optimization target and the motor group energy supply data;
s4354, calculating the load parameters of the diesel generator set and the load parameters of the photovoltaic generator set according to the load balance analysis result.
7. The photovoltaic micro-grid power generation method based on the diesel generator set according to claim 1, wherein the optimizing and updating the load balance of the advanced micro-grid power generation scheme according to the power generation load parameter to obtain a real-time micro-grid power generation scheme, and generating a corresponding power generation scheme according to the real-time micro-grid power generation scheme comprises the following steps:
s51, presetting a power generation parameter optimization rule, and matching the power generation parameter optimization rule with power generation load parameters;
s52, optimizing and adjusting the advanced micro-grid power generation scheme according to the matching result of the power generation parameter optimization rule and the power generation load parameter;
and S53, analyzing and verifying the optimized and adjusted advanced micro-grid power generation scheme, taking the verified advanced micro-grid power generation scheme as a real-time micro-grid power generation scheme, and generating a power generation scheme according to the real-time micro-grid power generation scheme.
8. A photovoltaic micro-grid power generation system based on a diesel generator set for implementing the photovoltaic micro-grid power generation method based on a diesel generator set according to any one of claims 1 to 7, characterized in that the system comprises:
the initial scheme construction module is used for constructing an initial micro-grid power generation scheme according to the parameters of the diesel generator set and the parameters of the photovoltaic generator set;
the climate environment acquisition module is used for acquiring climate environment parameters when the initial micro-grid power generation scheme is used;
the advanced scheme acquisition module is used for adjusting the initial micro-grid power generation scheme according to the climate environment parameters to acquire an advanced micro-grid power generation scheme;
the load parameter acquisition module is used for acquiring real-time operation parameters of the advanced micro-grid power generation scheme, analyzing load balance of the advanced micro-grid power generation scheme and obtaining power generation load parameters;
the power generation scheme construction module is used for optimizing and updating the load balance of the advanced micro-grid power generation scheme according to the power generation load parameters to obtain a real-time micro-grid power generation scheme, and generating a corresponding power generation scheme according to the real-time micro-grid power generation scheme;
the scheme adjustment module is used for adjusting the power generation scheme according to the climate environment parameters and the real-time micro-grid power generation scheme, and calculating micro-grid power generation data according to the real-time micro-grid power generation scheme and the adjusted power generation scheme;
The monitoring and early warning module is used for generating energy storage parameters and an emergency power generation scheme according to the micro-grid power generation data, constructing a power generation early warning rule according to the energy storage parameters, and carrying out real-time monitoring and feedback on the real-time micro-grid power generation scheme by utilizing the power generation early warning rule;
the initial scheme building module, the climate environment acquisition module, the advanced scheme acquisition module, the load parameter acquisition module, the power generation scheme building module, the scheme adjustment module and the monitoring and early warning module are sequentially connected.
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