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CN118199075A - Power supply power pre-distribution system based on power consumption base prediction - Google Patents

Power supply power pre-distribution system based on power consumption base prediction Download PDF

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Publication number
CN118199075A
CN118199075A CN202410519837.0A CN202410519837A CN118199075A CN 118199075 A CN118199075 A CN 118199075A CN 202410519837 A CN202410519837 A CN 202410519837A CN 118199075 A CN118199075 A CN 118199075A
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power
power supply
region
demand
base prediction
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CN118199075B (en
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李建
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Nanjing Haidi Automation Technology Co ltd
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Nanjing Haidi Automation Technology Co ltd
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    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00Circuit arrangements for AC mains or AC distribution networks
    • H02J3/04Circuit arrangements for AC mains or AC distribution networks for connecting networks of the same frequency but supplied from different sources
    • H02J3/06Controlling transfer of power between connected networks; Controlling sharing of load between connected networks
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00Circuit arrangements for AC mains or AC distribution networks
    • H02J3/003Load forecast, e.g. methods or systems for forecasting future load demand
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2203/00Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
    • H02J2203/10Power transmission or distribution systems management focussing at grid-level, e.g. load flow analysis, node profile computation, meshed network optimisation, active network management or spinning reserve management
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2203/00Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
    • H02J2203/20Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]

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  • Engineering & Computer Science (AREA)
  • Power Engineering (AREA)
  • Supply And Distribution Of Alternating Current (AREA)

Abstract

The invention discloses a power supply power pre-distribution system based on power consumption base prediction, which is used for acquiring a group of power information in adjacent rated time periods, constructing a power base prediction model to acquire a power base prediction value of a current region, acquiring a power supply demand proportional relation corresponding to each region based on the power base prediction value corresponding to each region, synchronously acquiring power supply pre-demand of each region based on the total power generation amount of a total power plant, and completing corresponding demand configuration of power according to each power supply pre-demand. The pre-allocation calculation scheme provided by the invention is adjusted according to the actual electricity consumption condition, so that on one hand, the electric power waste is greatly reduced, on the other hand, the accuracy of pre-allocation electric power is improved, the electric power utilization rate is improved, and the electric power allocation of the power supply is more flexible and efficient.

Description

Power supply power pre-distribution system based on power consumption base prediction
Technical Field
The invention relates to the technical field of power pre-distribution, in particular to a power supply power pre-distribution system based on power consumption base prediction.
Background
With the development of society, people demand more and more electric power, and stable operation and efficient management of electric power systems become more and more important. The existing power system generally adopts a fixed distribution strategy, namely, power distribution is carried out according to preset power requirements, the mode cannot be flexibly adjusted according to actual power consumption conditions, and power waste or insufficient supply and demand are easily caused.
Therefore, it is necessary to study a system capable of pre-distributing power according to actual power demand to achieve dynamic management of a power system to improve operation efficiency and power utilization rate of the power system.
Disclosure of Invention
This section is intended to outline some aspects of embodiments of the application and to briefly introduce some preferred embodiments. Some simplifications or omissions may be made in this section as well as in the description of the application and in the title of the application, which may not be used to limit the scope of the application.
The present invention has been made in view of the above-mentioned problems with existing power system allocation strategies.
Therefore, the technical problems solved by the invention are as follows: the power distribution method solves the problems that the conventional power system usually adopts a fixed distribution strategy, namely, power distribution is carried out according to preset power requirements, the mode cannot be flexibly adjusted according to actual power consumption conditions, and power waste or insufficient supply and demand are easily caused.
In order to solve the technical problems, the invention provides the following technical scheme: a power supply power pre-distribution system based on power consumption base prediction, comprising: the power data acquisition component acquires a group of power information in adjacent rated time periods in real time through a current sensor arranged at an area power output end; the regional power base prediction component is in wireless data connection with the power data acquisition component, acquires a group of power information in an adjacent rated time period, constructs a power base prediction model and acquires a power base prediction value of a current region; the power pre-allocation calculation component is in wireless data connection with the regional power base prediction component, acquires the power base predicted value of each region, and acquires the power supply proportion relation corresponding to each region based on the power base predicted value corresponding to each region; the power pre-distribution part is in wireless data connection with the power pre-distribution calculation part, acquires the proportion relation of power supply required corresponding to each region, synchronously acquires the power supply pre-demand of each region based on the total power generation amount of the total power plant, and completes the corresponding demand configuration of the power according to each power supply pre-demand to complete the power pre-distribution of the power supply.
As a preferable scheme of the power supply power pre-distribution system based on power consumption base prediction according to the invention, wherein: wherein the nominal time period is defined as 24 hours; the group of power information collected by the power data collection component (100) is specifically: in time sequence, the current output quantity collected in the adjacent 24h is not less than 3 output current values in a group of power information.
As a preferable scheme of the power supply power pre-distribution system based on power consumption base prediction according to the invention, wherein: the constructed power base prediction model specifically comprises the following steps:
Wherein δ is the power supply pre-demand amount of the corresponding region, a 1 is the current output amount collected in the first rated time period of the corresponding region, a 2 is the current output amount collected in the second rated time period adjacent to the first rated time period of the corresponding region, a n is the current output amount collected in the nth rated time period adjacent to the (n-1) th rated time period of the corresponding region, and n is the number of output current values collected in a set of power information.
As a preferable scheme of the power supply power pre-distribution system based on power consumption base prediction according to the invention, wherein: the constructed power base prediction model specifically comprises the following steps:
Wherein μ is a predicted value of the power base of the current region, a 1 is a current output amount collected in a first rated time period of the corresponding region, a n is a current output amount collected in an nth rated time period adjacent to the (n-1) th rated time period of the corresponding region, n is the number of output current values collected in a set of power information, and dx is a constant term fixed integral operation.
As a preferable scheme of the power supply power pre-distribution system based on power consumption base prediction according to the invention, wherein: the corresponding power supply proportion relation of each region is obtained through the following formula:
wherein, L m is the power supply proportion required by the m-th area, mu m is the power base predicted value of the m-th area, and m is the area statistical total number.
As a preferable scheme of the power supply power pre-distribution system based on power consumption base prediction according to the invention, wherein: the power supply pre-demand corresponding to each area is obtained through the following formula:
Qm=Q Total (S) ·Lm
Wherein, Q m is the power supply pre-demand quantity corresponding to the m-th area, Q Total (S) is the total power generation quantity of the total power plant, and L m is the power supply demand proportion of the m-th area.
The invention has the beneficial effects that: the invention provides a power supply power pre-distribution system based on power consumption base prediction, which is used for acquiring a group of power information in adjacent rated time periods, constructing a power base prediction model to acquire a power base prediction value of a current region, acquiring a power supply demand proportional relation corresponding to each region based on the power base prediction value corresponding to each region, synchronously acquiring power supply pre-demand of each region based on the total power generation amount of a total power plant, and completing corresponding demand configuration of power according to each power supply pre-demand. The pre-allocation calculation scheme provided by the invention is adjusted according to the actual power consumption situation, so that on one hand, the power waste is greatly reduced, on the other hand, the accuracy of pre-allocation power is improved, the power utilization rate is improved, the power supply power allocation is more flexible and efficient, and the problem that the power supply is easy to waste or insufficient in supply and demand due to the fact that the conventional power system usually adopts a fixed allocation strategy, namely performs power supply allocation according to the preset power demand, and the mode cannot be flexibly adjusted according to the actual power consumption situation is solved.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings that are needed in the description of the embodiments will be briefly described below, it being obvious that the drawings in the following description are only some embodiments of the present invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art. Wherein:
FIG. 1 is a system block diagram of a power supply power pre-allocation system based on power consumption base prediction provided by the invention.
Detailed Description
So that the manner in which the above recited objects, features and advantages of the present invention can be understood in detail, a more particular description of the invention, briefly summarized above, may be had by reference to the embodiments, some of which are illustrated in the appended drawings. All other embodiments, which can be made by one of ordinary skill in the art based on the embodiments of the present invention without making any inventive effort, shall fall within the scope of the present invention.
The existing power system generally adopts a fixed distribution strategy, namely, power distribution is carried out according to preset power requirements, the mode cannot be flexibly adjusted according to actual power consumption conditions, and power waste or insufficient supply and demand are easily caused.
The power supply power pre-distribution system based on the power consumption base prediction can predict the power consumption base of the power system according to information such as real-time power consumption data, historical power consumption data and the like, and distributes power supply according to an optimization algorithm. The system can flexibly adjust the power distribution according to the actual power consumption condition, thereby better meeting the operation requirement of a power system, realizing the optimal configuration of the power supply power and improving the power utilization rate. In addition, the system also has a real-time adjustment function, and can adjust the power distribution according to the real-time electricity consumption data so as to adapt to the change of the power demand, so that the power distribution of the power supply is more flexible and efficient. Therefore, the power supply power pre-distribution system based on the power consumption base prediction has higher practical value and popularization value.
Specifically, referring to fig. 1, the present invention provides a power supply power pre-distribution system based on power consumption base prediction, which includes the following components:
The power data acquisition component 100 acquires a group of power information in adjacent rated time periods in real time through a current sensor configured at a regional power output end;
The regional power base prediction unit 200 is in wireless data connection with the power data acquisition unit 100, acquires a group of power information in an adjacent rated time period, constructs a power base prediction model, and acquires a power base prediction value of a current region;
The power pre-allocation calculation unit 300 is connected with the regional power base prediction unit 200 in a wireless data manner, acquires power base predicted values of all regions, and acquires power supply demand proportional relationships corresponding to all regions based on the power base predicted values corresponding to all regions;
the power pre-distribution part 400 is in wireless data connection with the power pre-distribution calculation part 300, acquires the proportion relation of power supply required corresponding to each region, synchronously acquires the power supply pre-demand of each region based on the total power generation amount of the total power plant, and completes the corresponding demand configuration of the power according to each power supply pre-demand to complete the power pre-distribution of the power supply.
It should be noted that, the current sensor configured at the power output end of the area is an application of the existing conventional current sensor, and is used for collecting the power information of the current area, and redundant description is not repeated here.
Wherein the nominal time period is defined as 24 hours; the set of power information collected by the power data collection unit 100 is specifically: in time sequence, the current output quantity collected in the adjacent 24h is not less than 3 output current values in a group of power information.
Specifically, the current output in the current 24h can be collected, and then the current output in the adjacent subsequent 24h can be sequentially collected according to the time sequence.
Further, the constructed power base prediction model specifically comprises the following steps:
Wherein δ is the power supply pre-demand amount of the corresponding region, a 1 is the current output amount collected in the first rated time period of the corresponding region, a 2 is the current output amount collected in the second rated time period adjacent to the first rated time period of the corresponding region, a n is the current output amount collected in the nth rated time period adjacent to the (n-1) th rated time period of the corresponding region, and n is the number of output current values collected in a set of power information.
Further, the power base prediction model is specifically constructed as follows:
Wherein μ is a predicted value of the power base of the current region, a 1 is a current output amount collected in a first rated time period of the corresponding region, a n is a current output amount collected in an nth rated time period adjacent to the (n-1) th rated time period of the corresponding region, n is the number of output current values collected in a set of power information, and dx is a constant term fixed integral operation.
Further, the power supply proportion relation corresponding to each region is obtained through the following formula:
wherein, L m is the power supply proportion required by the m-th area, mu m is the power base predicted value of the m-th area, and m is the area statistical total number.
Further, the power supply pre-demand corresponding to each region is obtained through the following formula:
Qm=Q Total (S) ·Lm
Wherein, Q m is the power supply pre-demand quantity corresponding to the m-th area, Q Total (S) is the total power generation quantity of the total power plant, and L m is the power supply demand proportion of the m-th area.
To verify the effectiveness of the present invention, simulations were performed with a simulation simulator to obtain partial performance data as shown in table 1 below:
table 1: performance data sheet
Time period Power supply pre-demand (MW) Actual demand (MW) Error (MW)
1 153 160.4 7.4
2 161 169.7 8.7
3 188 174.1 13.9
4 85 85.6 0.6
The invention provides a power supply power pre-distribution system based on power consumption base prediction, which is used for acquiring a group of power information in adjacent rated time periods, constructing a power base prediction model to acquire a power base prediction value of a current region, acquiring a power supply demand proportional relation corresponding to each region based on the power base prediction value corresponding to each region, synchronously acquiring power supply pre-demand of each region based on the total power generation amount of a total power plant, and completing corresponding demand configuration of power according to each power supply pre-demand. The pre-allocation calculation scheme provided by the invention is adjusted according to the actual power consumption situation, so that on one hand, the power waste is greatly reduced, on the other hand, the accuracy of pre-allocation power is improved, the power utilization rate is improved, the power supply power allocation is more flexible and efficient, and the problem that the power supply is easy to waste or insufficient in supply and demand due to the fact that the conventional power system usually adopts a fixed allocation strategy, namely performs power supply allocation according to the preset power demand, and the mode cannot be flexibly adjusted according to the actual power consumption situation is solved.
It should be noted that the above embodiments are only for illustrating the technical solution of the present invention and not for limiting the same, and although the present invention has been described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that the technical solution of the present invention may be modified or substituted without departing from the spirit and scope of the technical solution of the present invention, which is intended to be covered in the scope of the claims of the present invention.

Claims (6)

1. A power supply power pre-distribution system based on power consumption base prediction, comprising:
the power data acquisition component (100) acquires a group of power information in adjacent rated time periods in real time through a current sensor arranged at a regional power output end;
The regional power base prediction component (200) is connected with the power data acquisition component (100) in a wireless data mode, acquires a group of power information in an adjacent rated time period, constructs a power base prediction model and acquires a power base prediction value of a current region;
a power pre-allocation calculation unit (300) which is connected with the regional power base prediction unit (200) in a wireless data manner, acquires the power base predicted value of each region, and acquires the power supply proportion relation corresponding to each region based on the power base predicted value corresponding to each region;
And the power pre-distribution component (400) is in wireless data connection with the power pre-distribution computing component (300), acquires the proportion relation of power supply required corresponding to each region, synchronously acquires the power supply pre-demand of each region based on the total power generation amount of the total power plant, and completes the corresponding demand configuration of the power according to each power supply pre-demand to complete the power pre-distribution of the power supply.
2. The power supply power pre-allocation system based on power consumption base prediction according to claim 1, wherein: wherein the nominal time period is defined as 24 hours; the group of power information collected by the power data collection component (100) is specifically: in time sequence, the current output quantity collected in the adjacent 24h is not less than 3 output current values in a group of power information.
3. The power supply power pre-allocation system based on power consumption base prediction according to claim 2, wherein the power base prediction model is constructed specifically as follows:
Wherein δ is the power supply pre-demand amount of the corresponding region, a 1 is the current output amount collected in the first rated time period of the corresponding region, a 2 is the current output amount collected in the second rated time period adjacent to the first rated time period of the corresponding region, a n is the current output amount collected in the nth rated time period adjacent to the (n-1) th rated time period of the corresponding region, and n is the number of output current values collected in a set of power information.
4. The power supply power pre-allocation system based on power consumption base prediction according to claim 2, wherein: the constructed power base prediction model specifically comprises the following steps:
Wherein μ is a predicted value of the power base of the current region, a 1 is a current output amount collected in a first rated time period of the corresponding region, a n is a current output amount collected in an nth rated time period adjacent to the (n-1) th rated time period of the corresponding region, n is the number of output current values collected in a set of power information, and dx is a constant term fixed integral operation.
5. The power supply power pre-allocation system based on power consumption base prediction according to claim 4, wherein the power supply demand proportional relation corresponding to each region is obtained by the following formula:
wherein, L m is the power supply proportion required by the m-th area, mu m is the power base predicted value of the m-th area, and m is the area statistical total number.
6. The power supply power pre-allocation system based on power consumption base prediction according to claim 5, wherein the power supply pre-demand amount corresponding to each region is obtained by the following formula:
Qm=Q Total (S) ·Lm
Wherein, Q m is the power supply pre-demand quantity corresponding to the m-th area, Q Total (S) is the total power generation quantity of the total power plant, and L m is the power supply demand proportion of the m-th area.
CN202410519837.0A 2024-04-28 2024-04-28 Power supply power pre-distribution system based on power consumption base prediction Active CN118199075B (en)

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Citations (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP3101749A1 (en) * 2015-06-05 2016-12-07 BKW Energie AG Method for controlling a local power consumer
CN109066690A (en) * 2018-09-13 2018-12-21 福建省农村信用社联合社 A kind of regional power supply dispatching method for producing electricity consumption
CN113743667A (en) * 2021-09-06 2021-12-03 广东电网有限责任公司 Method, device, equipment and storage medium for predicting power consumption of transformer area
CN114865627A (en) * 2022-06-20 2022-08-05 南方电网科学研究院有限责任公司 A power distribution method, device and equipment based on supply and demand relationship
CN115759444A (en) * 2022-11-24 2023-03-07 北京国电通网络技术有限公司 Power device distribution method, device, electronic device and computer readable medium
CN115965150A (en) * 2023-01-05 2023-04-14 南京工业大学 A Power Load Forecasting Method Based on Weight Assignment
CN116231689A (en) * 2022-11-01 2023-06-06 中国计量大学 A Microgrid Cluster Collaborative Strategy for Classified Pre-storage and Dynamic Adjustment of Electric Energy
CN116933929A (en) * 2023-07-18 2023-10-24 古桥信息科技(郑州)有限公司 Electric power prediction and scheduling method and system based on artificial intelligence
CN117410981A (en) * 2023-11-01 2024-01-16 中嘉能(广东)能源有限公司 Multi-region electric power energy intelligent scheduling method and system based on big data
CN117424231A (en) * 2023-12-14 2024-01-19 深圳市华星数字有限公司 Energy-saving power distribution control system and method
CN117595488A (en) * 2023-10-20 2024-02-23 国网新疆电力有限公司哈密供电公司 Power dispatching monitoring method and system based on load dynamic matching

Patent Citations (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP3101749A1 (en) * 2015-06-05 2016-12-07 BKW Energie AG Method for controlling a local power consumer
CN109066690A (en) * 2018-09-13 2018-12-21 福建省农村信用社联合社 A kind of regional power supply dispatching method for producing electricity consumption
CN113743667A (en) * 2021-09-06 2021-12-03 广东电网有限责任公司 Method, device, equipment and storage medium for predicting power consumption of transformer area
CN114865627A (en) * 2022-06-20 2022-08-05 南方电网科学研究院有限责任公司 A power distribution method, device and equipment based on supply and demand relationship
CN116231689A (en) * 2022-11-01 2023-06-06 中国计量大学 A Microgrid Cluster Collaborative Strategy for Classified Pre-storage and Dynamic Adjustment of Electric Energy
CN115759444A (en) * 2022-11-24 2023-03-07 北京国电通网络技术有限公司 Power device distribution method, device, electronic device and computer readable medium
CN115965150A (en) * 2023-01-05 2023-04-14 南京工业大学 A Power Load Forecasting Method Based on Weight Assignment
CN116933929A (en) * 2023-07-18 2023-10-24 古桥信息科技(郑州)有限公司 Electric power prediction and scheduling method and system based on artificial intelligence
CN117595488A (en) * 2023-10-20 2024-02-23 国网新疆电力有限公司哈密供电公司 Power dispatching monitoring method and system based on load dynamic matching
CN117410981A (en) * 2023-11-01 2024-01-16 中嘉能(广东)能源有限公司 Multi-region electric power energy intelligent scheduling method and system based on big data
CN117424231A (en) * 2023-12-14 2024-01-19 深圳市华星数字有限公司 Energy-saving power distribution control system and method

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