CN116683434A - Energy storage calling method considering grid connection requirement of photovoltaic power station and energy storage charge state - Google Patents

Abstract

The application discloses an energy storage calling method considering grid connection requirements and energy storage charge states of a photovoltaic power station, and belongs to the field of grid connection of the photovoltaic power station. The energy storage calling method utilizes the photovoltaic prediction output data, considers three conditions of long time scale out-of-limit, long time scale out-of-limit without out-of-limit and short time scale out-of-limit, and long time and short time scale without out-of-limit, adopts a calling method for calling energy storage control deviation and recovering the energy storage charge state, and can recover the energy storage charge state and prolong the service life of an energy storage battery while meeting the grid connection requirement of a photovoltaic power station.

Description

Energy storage deployment method considering grid-connected requirements of photovoltaic power plants and energy storage state of charge

technical field

The invention relates to the field of grid connection of photovoltaic power plants, in particular to an energy storage call method considering the grid connection requirements of photovoltaic power plants and the state of charge of the energy storage.

Background technique

With the continuous growth of renewable energy, a large number of photovoltaic power plants are connected to the grid. Due to the unpredictability and volatility of photovoltaic power generation, many challenges have been brought to the power grid, which has an impact on the security, stability and reliability of the power system. To a certain extent, in order to ensure the safe and stable operation of the power system, the photovoltaic power station connected to the power system needs to meet certain grid-connected regulations and requirements, and the power change of the photovoltaic power station connected to the power system needs to be monitored and controlled. Due to the requirements of the technical regulations for connecting to the power grid, when the photovoltaic power station is connected to the power grid, the fluctuation will cause power overflow or shortage. In order to solve this problem, calling the energy storage system configured by the photovoltaic power station can be used as an important supplementary means. Use the characteristics of energy storage "energy time shift" to stabilize the fluctuation of photovoltaic power generation, so that the output of photovoltaic power plants can be within the acceptable power range of the grid, improve the reliability and stability of the power system, and improve the impact of renewable energy access to the power system. come the question. Therefore, it is very necessary to study the integration of photovoltaic power plants into the power system combined with energy storage technology.

According to the State Grid Q/GDW617-2011 "Technical Regulations for Connecting Photovoltaic Power Stations to the Grid", according to different scales of photovoltaic power stations, the power to connect to the grid is limited. Among them, the maximum output change of small photovoltaic power station (0.4kV) is 0.2MW in 1 minute, and the maximum output change in 10 minutes is installed capacity; the maximum output change of medium-sized photovoltaic power station (10-35kV) in 1 minute is installed capacity/5, and the maximum output change in 10 minutes is the installed capacity; the maximum output change of a large photovoltaic power station (66kV) in 1 minute is installed capacity/10, and the maximum output change in 10 minutes is installed capacity/3.

In order to make the photovoltaic power station meet the maximum active output change requirement specified by the grid connection technology, there are currently the following methods: (1) Control the power output of the photovoltaic power station so that it can meet the maximum active output change acceptable to the grid, Avoid overloading or insufficient power grid, but this type of method will cause light abandonment when photovoltaic fluctuations and excessive output; (2) Adopt power electronics and intelligent control technology, use power electronics technology to control and adjust photovoltaic power plants, and improve response Speed and control accuracy, use the intelligent control system to monitor and control the power generation of photovoltaic power plants, but this type of method is more dependent on hardware and software equipment and the control algorithm is generally more complicated; (3) Strengthen the management and planning of the power grid, improve the capacity and Stability, creating better conditions for the connection of photovoltaic power plants, but this type of method is more dependent on external factors; (4) Use energy storage systems to balance the fluctuation of photovoltaic power generation, so as to meet the requirements of the grid for the connection of photovoltaic power plants. At present, using energy storage to balance fluctuations in the output of photovoltaic power plants to meet grid-connection requirements requires consideration of short-term and long-term scale factors, and currently less consideration is given to the restoration of the state of charge of energy storage to prolong the life of energy storage batteries.

Contents of the invention

The purpose of the present invention is to provide an energy storage call method that considers the grid-connected requirements of the photovoltaic power station and the state of charge of the energy storage, which can take into account the recovery of the state of charge of the energy storage while meeting the requirements of the grid-connected photovoltaic power station, and prolong the life of the energy storage battery .

To achieve the above object, the present invention provides the following scheme:

An energy storage deployment method that considers the grid-connected requirements of photovoltaic power plants and the state of charge of the energy storage, including:

Obtain the maximum output variation of the photovoltaic power plant on the first time scale and the maximum output variation on the second time scale; wherein, the second time scale is n times the first time scale, and n is a positive integer;

According to the actual output of the photovoltaic power station at the current moment, combined with the environmental parameters and the historical actual output of the photovoltaic power station, the photovoltaic predicted output sequence of the second time scale from the current moment is predicted; wherein, the photovoltaic predicted output sequence includes n first time scales PV forecast output;

Judging whether the photovoltaic forecast output of the nth first time scale of the photovoltaic forecast output sequence is within the acceptable power range of the power grid long-term scale, and obtaining the first judgment result; the long-term acceptable power range of the grid is determined by the second Determined by the maximum output variation of the time scale;

If the first judgment result indicates no, then according to the rated power of the energy storage configured in the photovoltaic power station, call the energy storage control deviation configured in the photovoltaic power station within the second time scale;

If the first judgment result indicates yes, it is judged whether the photovoltaic forecast output of each first time scale other than the nth one in the photovoltaic forecast output sequence is within the acceptable power range of the short time scale of the power grid, and the second judgment is obtained Result; the short-time-scale acceptable power range of the power grid is determined by the maximum output variation in the first time-scale;

If the second judgment result indicates no, call the energy storage control deviation configured by the photovoltaic power station according to the rated power of the energy storage configured by the photovoltaic power station;

If the second judgment result indicates yes, then restore the state of charge of the energy storage configured in the photovoltaic power station according to the state of charge of the energy storage at the current moment and the reference state of charge.

Optionally, according to the actual output of the photovoltaic power station at the current moment, combined with the environmental parameters and the historical actual output of the photovoltaic power station, the predicted output sequence of the photovoltaic power station at the second time scale from the current moment is predicted, specifically including:

According to the actual output of photovoltaic power plants at the current moment, combined with solar radiation, temperature, humidity, cloud cover and historical actual output of photovoltaic power plants, time series prediction methods, artificial neural network methods, autoregressive moving average model methods, support vector machine methods or The wavelet analysis method predicts the photovoltaic forecast output sequence of the second time scale from the current moment t as [P _f (t+T _s ),P _f (t+2T _s ),…,P _f (t+T _l )] ; where T _s is the first time scale, T _l is the second time scale, T _l = nT _s ; P _f (t+T _s ), P _f (t+2T _s ) and P _f (t+T _l ) are the PV forecast output of the 1st, 2nd and n first time scales from the current time t, respectively.

Optionally, the long-term acceptable power range of the power grid is [P _r (t)-P _l , P _r (t)+P _l ]; where P _r (t) is the photovoltaic power station at the current moment t Actual output, P _l is the maximum output change in the second time scale;

The short-term acceptable power range of the power grid is [P _r (t+iT _s -T _s )-P _s , P _r (t+iT _s -T _s )+P _s ]; where, P _r (t +iT _s -T _s ) is the actual output of the photovoltaic power plant at the i-1 first time scale from the current moment t, P _s is the maximum output variation of the first time scale, i=1,2,…,n .

Optionally, according to the rated power of the energy storage configured by the photovoltaic power station, the energy storage control deviation configured by the photovoltaic power station is invoked within the second time scale, specifically including:

Obtain the _{rated power P rated} of the energy storage configured in the photovoltaic power station;

According to the rated power P _rated , using the formula

Determine the energy storage output of each first time scale in the second time scale; where, P _st (t+iT _s ) is the energy storage output of the i-th first time scale in the second time scale, P _f (t +iT _s ) is the predicted output of photovoltaic power station in the i-th first time scale from the current time t, and P _r (t+iT _s ) is the actual output of the photovoltaic power plant in the i-th first time scale from the current time t;

According to the energy storage output of each first time scale in the second time scale, the energy storage control deviation configured by the photovoltaic power station is invoked.

Optionally, according to the state of charge of the energy storage at the current moment and the reference state of charge, restore the state of charge of the energy storage configured in the photovoltaic power station, specifically including:

Obtain the rated energy capacity E _rated of the energy storage configured in the photovoltaic power station, which is helpful to reduce the reference state of charge SOC _ref of energy storage life attenuation, and the current state of charge SOC(t) of the energy storage;

According to the rated power P _rated , the rated energy capacity E _rated , the reference state of charge SOC _ref and the state of charge SOC(t), using the formula

Determine the energy storage output when the predicted photovoltaic output value of the first time scale is not within the acceptable power range of the power grid in the short time scale; where P _st (t+jT _s ) is the jth time scale from the current moment t The energy storage output when the photovoltaic predicted output value is not within the acceptable power range of the grid in a short time scale, λ is the recovery coefficient of the energy storage state of charge, 0≤λ≤1;

The energy storage control deviation configured by the photovoltaic power station is invoked according to the energy storage output when the predicted photovoltaic output value on the first time scale is not within the acceptable power range of the power grid on a short time scale.

An energy storage deployment system that considers the grid-connected requirements of photovoltaic power plants and the state of charge of energy storage, including:

The maximum output change acquisition module is used to obtain the maximum output change of the photovoltaic power plant on the first time scale and the maximum output change on the second time scale; wherein, the second time scale is n times the first time scale, and n is a positive integer;

The output prediction module is used to predict the photovoltaic predicted output sequence of the second time scale from the current moment according to the actual output of the photovoltaic power station at the current moment, combined with the environmental parameters and the historical actual output of the photovoltaic power station; wherein, the photovoltaic predicted output sequence includes n PV forecast output of the first time scale;

The first judging module is used to judge whether the photovoltaic predicted output of the n-th first time scale of the photovoltaic predicted output sequence is within the acceptable power range of the power grid long-term scale, and obtain the first judgment result; the long-term power grid long-term scale The acceptable power range is determined by the maximum output variation in the second time scale;

The first energy storage calling module is configured to call the energy storage control deviation configured by the photovoltaic power station within a second time scale according to the rated power of the energy storage configured by the photovoltaic power station if the first judgment result indicates no;

The second judging module is used to judge whether the photovoltaic predicted output of each first time scale other than the nth one in the photovoltaic predicted output sequence is acceptable power in the short time scale of the power grid if the first judgment result indicates yes Within the range, the second judgment result is obtained; the acceptable power range of the power grid in a short time scale is determined by the maximum output variation in the first time scale;

The second energy storage calling module is configured to call the energy storage control deviation configured by the photovoltaic power station according to the rated power of the energy storage configured by the photovoltaic power station if the second judgment result indicates no;

The energy storage restoration module is configured to restore the state of charge of the energy storage configured in the photovoltaic power station according to the state of charge of the energy storage at the current moment and the reference state of charge if the second judgment result indicates yes.

An electronic device, including a memory, a processor, and a computer program stored on the memory and operable on the processor. When the processor executes the computer program, it realizes the consideration of the grid-connected requirements of photovoltaic power plants as described above. And the energy storage call method of the state of charge of the energy storage.

A computer-readable storage medium, on which a computer program is stored. When the computer program is executed, the above-mentioned energy storage call method is implemented considering the grid-connected requirements of the photovoltaic power station and the state of charge of the energy storage.

According to the specific embodiments provided by the invention, the invention discloses the following technical effects:

The invention discloses an energy storage calling method that considers the grid-connected requirements of a photovoltaic power station and the state of charge of the energy storage. Using the photovoltaic forecast output data, it considers that the long-term scale exceeds the limit, the long-term scale does not exceed the limit and the short-time scale exceeds the limit, In the three cases where the long-term and short-term time scales do not exceed the limit, the call method of calling the energy storage control deviation and restoring the state of charge of the energy storage can be used to meet the requirements of the grid connection of the photovoltaic power station while taking into account the restoration of the state of charge of the energy storage. Extend energy storage battery life.

Description of drawings

In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the accompanying drawings required in the embodiments. Obviously, the accompanying drawings in the following description are only some of the present invention. Embodiments, for those of ordinary skill in the art, other drawings can also be obtained according to these drawings without paying creative labor.

Fig. 1 is a flow chart of an energy storage call method that considers grid-connected requirements of a photovoltaic power plant and the state of charge of the energy storage provided by an embodiment of the present invention;

Fig. 2 is a schematic diagram of an energy storage calling method that considers grid-connected requirements of photovoltaic power plants and the state of charge of the energy storage provided by an embodiment of the present invention.

Detailed ways

The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

In order to make the above objects, features and advantages of the present invention more comprehensible, the present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments.

This application proposal aims at the problem of power overflow or shortage caused by excessive fluctuations when the photovoltaic power station is connected to the grid. To restore the state of charge of energy storage under certain conditions, an energy storage deployment method considering the grid-connected requirements of photovoltaic power plants and the state of charge of energy storage is proposed.

As shown in Figure 1, the embodiment of the present invention proposes an energy storage call method that considers the grid-connected requirements of the photovoltaic power station and the state of charge of the energy storage, including:

Step S1: Obtain the maximum output variation of the photovoltaic power plant on the first time scale and the maximum output variation on the second time scale; wherein, the second time scale is n times the first time scale, and n is a positive integer.

According to the technical requirements of photovoltaic power plants connected to the power grid, the maximum output change in the short time scale T _s is P _s , and the maximum output change in the long time scale T _l is P _l , where T _l = nT _s . Taking the current "Technical Regulations for Connecting Photovoltaic Power Stations to the Grid" as an example, the maximum output variation of the short-term scale of 1min and the long-term scale of 10min is stipulated, and n is 10.

Step S2: According to the actual output of the photovoltaic power station at the current moment, combined with the environmental parameters and the historical actual output of the photovoltaic power station, predict the photovoltaic predicted output sequence of the second time scale from the current moment; wherein, the photovoltaic predicted output sequence includes n first Time-scale PV forecasting output.

The current moment is t, and the actual output of the photovoltaic power station is P _r (t). According to the solar radiation, temperature, humidity, cloudiness and historical operation data of the power station, the predicted output sequence of photovoltaic power in the next long-term scale T _l is [P _f ( t+T _s ), P _f (t+2T _s ), ..., P _f (t+T _l )]. P _f (t+T _s ), P _f (t+2T _s ) and P _f (t+T _l ) are the PV forecast output of the 1st, 2nd and n first time scales from the current moment t, respectively.

Among them, the historical operation data of the power station specifically refers to the actual output data of the photovoltaic power station in the past period of time, which is equivalent to predicting the future photovoltaic output in combination with the photovoltaic output in the past period of time. According to the actual historical data, the data of the past year or two years can be used, and if there are only two months of data, the data of two months can be used.

There are many existing photovoltaic prediction methods, and the present invention selects one of the existing photovoltaic prediction methods in combination with data, and does not make innovations in the photovoltaic prediction method, but chooses the traditional method. For example, you can choose (1) time series forecasting method: the most classic, most systematic and most widely used type of forecasting method. Use the past time series data for statistical analysis, infer the development trend of things, and predict the curve fitting according to the change law of a single time series; (2) Artificial neural network method: the input layer is the existing solar radiation, temperature, Humidity, cloud cover and other weather information, the output is power station operation output data, the existing data is divided into training set and test set for neural network training, after determining the weight of each layer inside the neural network, input the future meteorological solar radiation, temperature, Weather information such as humidity and cloud cover can predict future output. In addition, methods that can be used include: (3) autoregressive moving average model method, (4) support vector machine method, (5) wavelet analysis method, etc.

Step S3: Judging whether the photovoltaic forecast output of the nth first time scale of the photovoltaic forecast output sequence is within the acceptable power range of the power grid on a long-term scale, and obtaining the first judgment result; the long-term scale acceptable power range of the grid Determined by the maximum output change in the second time scale.

Judging whether the predicted photovoltaic output value P _f (t+T _l ) of the long-term scale T _l is within the acceptable power range of the grid, that is, whether P _r (t)-P _l ≤ _{P f} (t+T _l ) ≤ P _r (t)+P _l .

Step S4: If the first judgment result indicates no, call the energy storage control deviation configured by the photovoltaic power station within a second time scale according to the rated power of the energy storage configured by the photovoltaic power station.

Referring to Figure 2, before invoking the energy storage, it is necessary to read the rated power of the energy storage configured in _the photovoltaic power station as P _rated and the rated energy capacity as E _rated . The current state of charge SOC(t).

If the predicted photovoltaic output value of the long-term scale T _l exceeds the limit, the energy storage control deviation is called, and the energy storage output P _st (t+xT _s ) satisfies the following formula (where x=1,2,…,n):

That is, if the long-term cycle exceeds the limit, the energy storage control deviation needs to be invoked during the period from time t to time t+T _l , and the time scale of real-time energy storage invocation is T _s . For example, assuming that the time t is 0, T _l is 10min, and T _s is 1min, when the predicted output at the judgment time 10min exceeds the limit, then the energy storage will be based on the real-time The output situation adjusts the control deviation.

Step S5: If the first judgment result indicates yes, then judge whether the photovoltaic predicted output of each first time scale other than the nth one in the photovoltaic predicted output sequence is within the acceptable power range of the short time scale of the power grid, and obtain The second judgment result: the short-time-scale acceptable power range of the power grid is determined by the maximum output variation in the first time-scale.

If the predicted photovoltaic output value on the long-term scale T _l does not exceed the limit, it is judged whether the predicted photovoltaic output value P _f (t+iT _s ) on the short time scale T _s is within the acceptable power range of the grid, that is, whether it meets the requirements of P _r ( t+iT _s -T _s )-P _s ≤ P _f (t+iT _s )≤P _r (t+iT _s -T _s )+P _s . Among them, iT _s represents the i-th short time scale T _s traversed under the long time scale T _l , and the initial value of i is 1.

Step S6: If the second judgment result indicates no, call the energy storage control deviation configured by the photovoltaic power station according to the rated power of the energy storage configured by the photovoltaic power station.

If the photovoltaic forecast output value of the short time scale T _s exceeds the limit, the energy storage control deviation is called, and the energy storage output P _st (t+iT _s ) satisfies the following formula:

Step S7: If the second judgment result is yes, restore the state of charge of the energy storage configured in the photovoltaic power station according to the state of charge of the energy storage at the current moment and the reference state of charge.

If the PV predicted output value of the short time scale T _s does not exceed the limit, the state of charge of the energy storage is restored, and the output of the energy storage is P _st (t+iT _s ) (where λ is the recovery coefficient of the state of charge of the energy storage, 0≤λ≤ 1) Satisfy the following formula:

For steps S5 to S7, all short time scales _{T s under} the long time scale T 1 are traversed.

After performing the above steps, update the current time t=t+T _l , if t ≤ the time period T _all that needs to call the energy storage, perform the calculation of the next long-term scale T _l , that is, repeat the above steps, otherwise, end.

The present invention aims to propose an energy storage deployment method that considers the grid-connected requirements of photovoltaic power plants and the state of charge of energy storage. Considering that the predicted output of photovoltaic power exceeds the limit in the long-term scale, and the long-term scale does not exceed the limit, but the short-time scale exceeds the limit and the long-term In the three situations where neither the time scale nor the short time scale exceeds the limit, the method of invoking the control deviation of the energy storage and restoring the state of charge of the energy storage can be adopted, and the restoration of the state of charge of the energy storage can be taken into account while considering the requirements of the photovoltaic power station grid connection. Scientifically and efficiently solve the problem of energy storage call when meeting the grid-connected requirements of photovoltaic power plants.

Main technical advantages of the present invention are as follows:

(1) The present invention proposes an energy storage calling method that considers the grid-connected requirements of photovoltaic power plants, which can meet the requirements of the maximum active power output changes that can be accepted by the power grid on short-term and long-term scales when photovoltaic power plants are connected to the grid, avoiding Cause overload or shortage to the grid.

(2) The present invention proposes an energy storage call method that considers the state of charge of the energy storage, which can restore the state of charge of the energy storage when the output of the photovoltaic power station does not exceed the limit, so that the energy storage can be maintained at the reference state of charge as much as possible, and the depth of charging can be reduced. Discharge, thereby reducing the decay of energy storage life.

(3) The present invention proposes an energy storage deployment method that considers the grid-connected requirements of photovoltaic power plants and the state of charge of energy storage, and uses photovoltaic forecast output data to consider long-term scale violations, long-term scales that do not exceed short-time scales In the three situations of exceeding the limit, long-term and short-term time scales without exceeding the limit, the call method of calling the energy storage control deviation and restoring the state of charge of the energy storage can be used to meet the grid-connected requirements of the photovoltaic power station while taking into account the state of charge of the energy storage recovery.

In order to implement the methods corresponding to the above embodiments to achieve corresponding functions and technical effects, the following provides an energy storage calling system that considers the grid-connected requirements of photovoltaic power plants and the state of charge of energy storage, which is characterized in that it includes:

The maximum output change acquisition module is used to obtain the maximum output change of the photovoltaic power plant on the first time scale and the maximum output change on the second time scale; wherein, the second time scale is n times the first time scale, and n is a positive integer;

The output prediction module is used to predict the photovoltaic predicted output sequence of the second time scale from the current moment according to the actual output of the photovoltaic power station at the current moment, combined with the environmental parameters and the historical actual output of the photovoltaic power station; wherein, the photovoltaic predicted output sequence includes n PV forecast output of the first time scale;

The first judging module is used to judge whether the photovoltaic predicted output of the n-th first time scale of the photovoltaic predicted output sequence is within the acceptable power range of the power grid long-term scale, and obtain the first judgment result; the long-term power grid long-term scale The acceptable power range is determined by the maximum output variation in the second time scale;

The first energy storage calling module is configured to call the energy storage control deviation configured by the photovoltaic power station within a second time scale according to the rated power of the energy storage configured by the photovoltaic power station if the first judgment result indicates no;

The second judging module is used to judge whether the photovoltaic predicted output of each first time scale other than the nth one in the photovoltaic predicted output sequence is acceptable power in the short time scale of the power grid if the first judgment result indicates yes Within the range, the second judgment result is obtained; the acceptable power range of the power grid in a short time scale is determined by the maximum output variation in the first time scale;

The second energy storage calling module is configured to call the energy storage control deviation configured by the photovoltaic power station according to the rated power of the energy storage configured by the photovoltaic power station if the second judgment result indicates no;

The energy storage restoration module is configured to restore the state of charge of the energy storage configured in the photovoltaic power station according to the state of charge of the energy storage at the current moment and the reference state of charge if the second judgment result indicates yes.

The energy storage transfer system that considers the grid-connected requirements of photovoltaic power plants and the state of charge of energy storage provided by the embodiments of the present invention and the energy storage transfer method that considers the grid-connected requirements of photovoltaic power plants and the state of charge of energy storage described in the above-mentioned embodiments, work The principles and beneficial effects are similar, so they will not be described in detail here, and details can be found in the introduction of the above method embodiments.

The present invention also provides an electronic device, which includes a memory, a processor, and a computer program stored on the memory and operable on the processor. When the processor executes the computer program, the aforementioned photovoltaic The grid-connected requirements of the power station and the energy storage call method for the state of charge of the energy storage.

In addition, when the above-mentioned computer program in the memory is realized in the form of a software function unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the essence of the technical solution of the present invention or the part that contributes to the prior art or the part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including Several instructions are used to make a computer device (which may be a personal computer, server or network device, etc.) execute all or part of the steps of the methods described in various embodiments of the present invention. The aforementioned storage medium includes: various media capable of storing program codes such as U disk, mobile hard disk, read-only memory, random access memory, magnetic disk or optical disk.

Further, the present invention also provides a computer-readable storage medium, on which a computer program is stored, and when the computer program is executed, the aforementioned energy storage call method is implemented considering the grid-connected requirements of the photovoltaic power station and the state of charge of the energy storage. .

Each embodiment in this specification is described in a progressive manner, each embodiment focuses on the difference from other embodiments, and the same and similar parts of each embodiment can be referred to each other.

In this paper, specific examples have been used to illustrate the principle and implementation of the present invention. The description of the above embodiments is only used to help understand the method of the present invention and its core idea; meanwhile, for those of ordinary skill in the art, according to the present invention Thoughts, there will be changes in specific implementation methods and application ranges. In summary, the contents of this specification should not be construed as limiting the present invention.

Claims (8)

1. An energy storage deployment method that considers the grid-connected requirements of photovoltaic power stations and the state of charge of the energy storage, characterized in that it includes: Obtain the maximum output variation of the photovoltaic power plant on the first time scale and the maximum output variation on the second time scale; wherein, the second time scale is n times the first time scale, and n is a positive integer; According to the actual output of the photovoltaic power station at the current moment, combined with the environmental parameters and the historical actual output of the photovoltaic power station, the photovoltaic predicted output sequence of the second time scale from the current moment is predicted; wherein, the photovoltaic predicted output sequence includes n first time scales PV forecast output; Judging whether the photovoltaic forecast output of the nth first time scale of the photovoltaic forecast output sequence is within the acceptable power range of the power grid long-term scale, and obtaining the first judgment result; the long-term acceptable power range of the grid is determined by the second Determined by the maximum output variation of the time scale; If the first judgment result indicates no, then according to the rated power of the energy storage configured in the photovoltaic power station, call the energy storage control deviation configured in the photovoltaic power station within the second time scale; If the first judgment result indicates yes, it is judged whether the photovoltaic forecast output of each first time scale other than the nth one in the photovoltaic forecast output sequence is within the acceptable power range of the short time scale of the power grid, and the second judgment is obtained Result; the short-time-scale acceptable power range of the power grid is determined by the maximum output variation in the first time-scale; If the second judgment result indicates no, call the energy storage control deviation configured by the photovoltaic power station according to the rated power of the energy storage configured by the photovoltaic power station; If the second judgment result indicates yes, then restore the state of charge of the energy storage configured in the photovoltaic power station according to the state of charge of the energy storage at the current moment and the reference state of charge. 2. According to claim 1, the energy storage calling method considering the grid-connected requirements of the photovoltaic power station and the state of charge of the energy storage is characterized in that, according to the actual output of the photovoltaic power station at the current moment, combined with the environmental parameters and the historical actual output of the photovoltaic power station, Predict the photovoltaic forecast output sequence of the second time scale from the current moment, including: According to the actual output of photovoltaic power plants at the current moment, combined with solar radiation, temperature, humidity, cloud cover and historical actual output of photovoltaic power plants, time series prediction methods, artificial neural network methods, autoregressive moving average model methods, support vector machine methods or The wavelet analysis method predicts the photovoltaic forecast output sequence of the second time scale from the current moment t as [P _f (t+T _s ),P _f (t+2T _s ),…,P _f (t+T _l )] ; where T _s is the first time scale, T _l is the second time scale, T _l = nT _s ; P _f (t+T _s ), P _f (t+2T _s ) and P _f (t+T _l ) are the PV forecast output of the 1st, 2nd and n first time scales from the current time t, respectively. 3. According to claim 2, the energy storage calling method considering the grid-connected requirements of photovoltaic power plants and the state of charge of energy storage, is characterized in that, the long-term acceptable power range of the power grid is [P _r (t)-P _l , P _r (t)+P _l ]; where, P _r (t) is the actual output of the photovoltaic power station at the current moment t, and P _l is the maximum output change in the second time scale; The short-term acceptable power range of the power grid is [P _r (t+iT _s -T _s )-P _s , P _r (t+iT _s -T _s )+P _s ]; where, P _r (t +iT _s -T _s ) is the actual output of the photovoltaic power plant at the i-1 first time scale from the current moment t, P _s is the maximum output variation of the first time scale, i=1,2,…,n . 4. According to claim 3, the energy storage calling method considering the grid-connected requirements of the photovoltaic power station and the state of charge of the energy storage is characterized in that, according to the rated power of the energy storage configured by the photovoltaic power station, the photovoltaic power station is called within the second time scale. The energy storage control deviation configured by the power station includes: Obtain the _{rated power P rated} of the energy storage configured in the photovoltaic power station; According to the rated power P _rated , using the formula Determine the energy storage output of each first time scale in the second time scale; where, P _st (t+iT _s ) is the energy storage output of the i-th first time scale in the second time scale, P _f (t +iT _s ) is the predicted output of photovoltaic power station in the i-th first time scale from the current time t, and P _r (t+iT _s ) is the actual output of the photovoltaic power plant in the i-th first time scale from the current time t; According to the energy storage output of each first time scale in the second time scale, the energy storage control deviation configured by the photovoltaic power station is invoked. 5. According to claim 4, the energy storage calling method considering the grid-connected requirements of the photovoltaic power station and the state of charge of the energy storage, is characterized in that, according to the state of charge of the energy storage at the current moment and the reference state of charge, the power of the photovoltaic power station is restored. Configure the state of charge of the energy storage, including: Obtain the rated energy capacity E _rated of the energy storage configured in the photovoltaic power station, which is helpful to reduce the reference state of charge SOC _ref of energy storage life attenuation, and the current state of charge SOC(t) of the energy storage; According to the rated power P _rated , the rated energy capacity E _rated , the reference state of charge SOC _ref and the state of charge SOC(t), using the formula Determine the energy storage output when the predicted photovoltaic output value of the first time scale is not within the acceptable power range of the power grid in the short time scale; where P _st (t+jT _s ) is the jth time scale from the current moment t The energy storage output when the photovoltaic predicted output value is not within the acceptable power range of the grid in a short time scale, λ is the recovery coefficient of the energy storage state of charge, 0≤λ≤1; The energy storage control deviation configured by the photovoltaic power station is invoked according to the energy storage output when the predicted photovoltaic output value on the first time scale is not within the acceptable power range of the power grid on a short time scale. 6. An energy storage deployment system that considers the grid-connected requirements of photovoltaic power stations and the state of charge of energy storage, characterized in that it includes: The maximum output change acquisition module is used to obtain the maximum output change of the photovoltaic power plant on the first time scale and the maximum output change on the second time scale; wherein, the second time scale is n times the first time scale, and n is a positive integer; The output prediction module is used to predict the photovoltaic predicted output sequence of the second time scale from the current moment according to the actual output of the photovoltaic power station at the current moment, combined with the environmental parameters and the historical actual output of the photovoltaic power station; wherein, the photovoltaic predicted output sequence includes n PV forecast output of the first time scale; The first judging module is used to judge whether the photovoltaic predicted output of the n-th first time scale of the photovoltaic predicted output sequence is within the acceptable power range of the power grid long-term scale, and obtain the first judgment result; the long-term power grid long-term scale The acceptable power range is determined by the maximum output variation in the second time scale; The first energy storage call module is configured to call the energy storage control deviation configured by the photovoltaic power station within a second time scale according to the rated power of the energy storage configured by the photovoltaic power station if the first judgment result indicates no; The second judging module is used to judge whether the photovoltaic predicted output of each first time scale other than the nth one in the photovoltaic predicted output sequence is acceptable power in the short time scale of the power grid if the first judgment result indicates yes Within the range, the second judgment result is obtained; the acceptable power range of the power grid in a short time scale is determined by the maximum output variation in the first time scale; The second energy storage calling module is configured to call the energy storage control deviation configured by the photovoltaic power station according to the rated power of the energy storage configured by the photovoltaic power station if the second judgment result indicates no; The energy storage restoration module is configured to restore the state of charge of the energy storage configured in the photovoltaic power station according to the state of charge of the energy storage at the current moment and the reference state of charge if the second judgment result indicates yes. 7. An electronic device, characterized in that it comprises a memory, a processor, and a computer program stored on the memory and operable on the processor, when the processor executes the computer program, the computer program according to claim 1 is realized. The energy storage deployment method described in any one of 1 to 5 that considers the grid-connected requirements of the photovoltaic power station and the state of charge of the energy storage. 8. A computer-readable storage medium, characterized in that a computer program is stored thereon, and when the computer program is executed, it realizes the consideration of grid-connected requirements of photovoltaic power plants and storage as described in any one of claims 1 to 5. The energy storage calling method of the energy state of charge.