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

Energy storage calling method considering grid connection requirement of photovoltaic power station and energy storage charge state Download PDF

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Publication number
CN116683434A
CN116683434A CN202310675274.XA CN202310675274A CN116683434A CN 116683434 A CN116683434 A CN 116683434A CN 202310675274 A CN202310675274 A CN 202310675274A CN 116683434 A CN116683434 A CN 116683434A
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energy storage
time scale
photovoltaic
power station
photovoltaic power
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郑华
谢莉
叶晓宇
仲泽坤
彭佩
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North China Electric Power University
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North China Electric Power University
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    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00—Circuit arrangements for ac mains or ac distribution networks
    • H02J3/004—Generation forecast, e.g. methods or systems for forecasting future energy generation
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00—Circuit arrangements for ac mains or ac distribution networks
    • H02J3/28—Arrangements for balancing of the load in a network by storage of energy
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
    • H02J2203/20—Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2300/00—Systems for supplying or distributing electric power characterised by decentralized, dispersed, or local generation
    • H02J2300/20—The dispersed energy generation being of renewable origin
    • H02J2300/22—The renewable source being solar energy
    • H02J2300/24—The renewable source being solar energy of photovoltaic origin
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E10/00—Energy generation through renewable energy sources
    • Y02E10/50—Photovoltaic [PV] energy
    • Y02E10/56—Power conversion systems, e.g. maximum power point trackers

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  • Engineering & Computer Science (AREA)
  • Power Engineering (AREA)
  • Charge And Discharge Circuits For Batteries Or The Like (AREA)

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 calling method considering grid connection requirement of photovoltaic power station and energy storage charge state
Technical Field
The application relates to the field of grid connection of photovoltaic power stations, in particular to an energy storage calling method considering grid connection requirements and energy storage charge states of the photovoltaic power stations.
Background
With the continuous growth of renewable energy sources, a large number of photovoltaic power stations are connected into a power grid. Because of unpredictability and volatility of photovoltaic power generation, many challenges are presented to the grid, and the safety, stability and reliability of the power system are all affected. To ensure safe and stable operation of the power system to a certain extent, the photovoltaic power station access power system needs to meet certain grid-connected regulations and requirements, and power change of the photovoltaic power station access power system needs to be monitored and controlled. Because of the requirements specified by the power grid access technology, when the photovoltaic power station is accessed to the power grid, excessive fluctuation can cause power overflow or shortage, and in order to solve the problem, an energy storage system configured by the photovoltaic power station can be used as an important supplementary means. The fluctuation of photovoltaic power generation is stabilized by utilizing the characteristic of energy storage energy time shift, so that the output of a photovoltaic power station is within the acceptable power range of a power grid, the reliability and stability of a power system are improved, and the problem caused by the access of renewable energy sources to the power system is solved. Therefore, research on accessing the photovoltaic power station into the power system by combining the energy storage technology is very necessary.
According to the national grid Q/GDW617-2011 photovoltaic power station access grid technical regulation, limit standards are provided for the power of the photovoltaic power station accessed to the grid according to photovoltaic power stations of different scales. The maximum output variable quantity of a small-sized photovoltaic power station (0.4 kV) for 1min is 0.2MW, and the maximum output variable quantity of the small-sized photovoltaic power station for 10min is installed capacity; the maximum output variable quantity of the medium-sized photovoltaic power station (10-35 kV) for 1min is installed capacity/5, and the maximum output variable quantity of the medium-sized photovoltaic power station for 10min is installed capacity; the maximum output variable quantity of the large photovoltaic power station (66 kV) for 1min is installed capacity/10, and the maximum output variable quantity of the large photovoltaic power station for 10min is installed capacity/3.
In order to enable the photovoltaic power station to meet the maximum active output variation requirement specified by the technology of accessing the power grid, the following methods are mainly adopted at present: (1) The power output of the photovoltaic power station is controlled, so that the maximum acceptable active output variation of a power grid can be met, overload or deficiency of the power grid is avoided, and the method can cause light rejection when photovoltaic fluctuation and output are overlarge; (2) The power electronic and intelligent control technology is adopted, the power electronic technology is utilized to control and regulate the photovoltaic power station, the response speed and the control precision are improved, the intelligent control system is utilized to monitor and control the generated power of the photovoltaic power station, but the methods are more dependent on software and hardware equipment and the control algorithm is generally more complex; (3) The power grid management and planning are enhanced, the capacity and the stability of the power grid are improved, better conditions are created for the access of the photovoltaic power station, but the methods are more dependent on external factors; (4) And the fluctuation of the photovoltaic power generation is balanced by using the energy storage system, so that the requirement of the power grid on the photovoltaic power station is met. The fluctuation of the output of the energy storage balanced photovoltaic power station is utilized at present so as to meet the grid-connected requirement, short time scale factors and long time scale factors are required to be considered, and the recovery of the state of charge of the energy storage is less considered at present so as to prolong the service life of the energy storage battery.
Disclosure of Invention
The application aims to provide an energy storage calling method considering the grid connection requirement of a photovoltaic power station and the energy storage charge state, which can recover the energy storage charge state and prolong the service life of an energy storage battery while meeting the grid connection requirement of the photovoltaic power station.
In order to achieve the above object, the present application provides the following solutions:
an energy storage calling method considering grid connection requirements and energy storage charge states of a photovoltaic power station comprises the following steps:
obtaining the maximum output variation of the photovoltaic power station in a first time scale and the maximum output variation of the photovoltaic power station in a 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, the environmental parameters and the historical actual output of the photovoltaic power station are combined, and a photovoltaic predicted output sequence of a second time scale from the current moment is predicted; the photovoltaic predicted output sequence comprises n photovoltaic predicted output values of a first time scale;
judging whether the photovoltaic predicted power of the nth first time scale of the photovoltaic predicted power sequence is within the acceptable power range of the long time scale of the power grid or not, and obtaining a first judgment result; the acceptable power range of the power grid long time scale is determined by the maximum output variable quantity of the second time scale;
if the first judgment result indicates no, invoking energy storage control deviation configured by the photovoltaic power station in a second time scale according to rated power of energy storage configured by the photovoltaic power station;
if the first judgment result indicates yes, judging whether the photovoltaic predicted power of each first time scale except the nth one in the photovoltaic predicted power sequence is within the acceptable power range of the power grid short time scale or not, and obtaining a second judgment result; the acceptable power range of the power grid in a short time scale is determined by the maximum output variable quantity of the first time scale;
if the second judgment result indicates no, the energy storage control deviation configured by the photovoltaic power station is called according to the rated power of the energy storage configured by the photovoltaic power station;
and if the second judgment result shows that the energy storage state is yes, recovering the energy storage state of the photovoltaic power station according to the energy storage state of the current moment and the reference state of charge.
Optionally, predicting a photovoltaic predicted output sequence of a second time scale from the current moment according to the actual output of the photovoltaic power station at the current moment and combining the environmental parameter and the historical actual output of the photovoltaic power station, specifically including:
according to the actual output of the photovoltaic power station at the current moment, combining solar radiation quantity, air temperature, humidity, cloud quantity and historical actual output of the photovoltaic power station, adopting a time sequence prediction method, an artificial neural network method, an autoregressive moving average model method, a support vector machine method or a wavelet analysis method to predict that the photovoltaic predicted output sequence of a second time scale from the current moment t is [ P ] f (t+T s ),P f (t+2T s ),…,P f (t+T l )]The method comprises the steps of carrying out a first treatment on the surface of the Wherein T is s For a first time scale, T l For a second time scale, T l ＝nT s ；P f (t+T s )、P f (t+2T s ) And P f (t+T l ) The forces are predicted for photovoltaic cells of the 1 st, 2 nd and n first time scales, respectively, from the current time t.
Optionally, the grid long time scale acceptable power range is [ P r (t)-P l ，P r (t)+P l ]The method comprises the steps of carrying out a first treatment on the surface of the Wherein P is r (t) is the actual output force of the photovoltaic power station at the current moment t, P l Maximum output variation for a second time scale;
the electric networkThe short time scale acceptable power range is [ P ] r (t+iT s -T s )-P s ，P r (t+iT s -T s )+P s ]The method comprises the steps of carrying out a first treatment on the surface of the Wherein P is r (t+iT s -T s ) For the actual output of the photovoltaic power station of the ith-1 first time scale from the current moment t, P s I=1, 2, …, n, the maximum force variation for the first time scale.
Optionally, according to the rated power of the energy storage configured by the photovoltaic power station, invoking the energy storage control deviation configured by the photovoltaic power station within a second time scale, which specifically includes:
obtaining rated power P of energy storage configured by photovoltaic power station rated ；
According to the rated power P rated Using the formula
Determining an energy storage output of each first time scale in the second time scale; wherein P is st (t+iT s ) For the energy storage output of the ith first time scale in the second time scale, P f (t+iT s ) For photovoltaic predicted force of the ith first time scale from the current time t, P r (t+iT s ) The actual output of the photovoltaic power station is the ith first time scale from the current time t;
and according to the energy storage output of each first time scale in the second time scale, invoking the energy storage control deviation configured by the photovoltaic power station.
Optionally, recovering the state of charge of the energy storage configured by the photovoltaic power station according to the state of charge of the energy storage at the current moment and the reference state of charge, specifically including:
obtaining rated energy capacity E of energy storage configured by photovoltaic power station rated Reference state of charge (SOC) conducive to reducing energy storage life decay ref And a stored current state of charge, SOC (t);
according to the rated power P rated Said rated energy capacity E rated The reference state of charge SOC ref Andthe state of charge SOC (t) is determined using the formula
Determining the energy storage output when the photovoltaic predicted output value of the first time scale is not in the power range acceptable by the power grid in a short time scale; wherein P is st (t+jT s ) For the energy storage output when the power value is not in the power range acceptable by the power grid short time scale from the photovoltaic forecast of the jth time scale at the current time t, lambda is the energy storage charge state recovery coefficient, and lambda is more than or equal to 0 and less than or equal to 1;
and according to the energy storage output force when the photovoltaic predicted output force value of the first time scale is not in the power grid short time scale acceptable power range, invoking the energy storage control deviation configured by the photovoltaic power station.
An energy storage calling system considering grid connection requirements and energy storage charge states of a photovoltaic power station, comprising:
the maximum output variation acquisition module is used for acquiring the maximum output variation of the photovoltaic power station in a first time scale and the maximum output variation of the photovoltaic power station in a 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 for predicting a photovoltaic predicted output sequence of a second time scale from the current moment according to the actual output of the photovoltaic power station at the current moment and by combining the environmental parameter and the historical actual output of the photovoltaic power station; the photovoltaic predicted output sequence comprises n photovoltaic predicted output values of a first time scale;
the first judging module is used for judging whether the photovoltaic predicted power of the nth first time scale of the photovoltaic predicted power sequence is within the acceptable power range of the long time scale of the power grid or not, and obtaining a first judging result; the acceptable power range of the power grid long time scale is determined by the maximum output variable quantity of the second time scale;
the first energy storage calling module is used for calling energy storage control deviation configured by the photovoltaic power station in a second time scale according to rated power of energy storage configured by the photovoltaic power station if the first judging result indicates no;
the second judging module is used for judging whether the photovoltaic predicted power of each first time scale except the nth time scale in the photovoltaic predicted power sequence is within the acceptable power range of the power grid in a short time scale or not if the first judging result shows yes, and obtaining a second judging result; the acceptable power range of the power grid in a short time scale is determined by the maximum output variable quantity of the first time scale;
the second energy storage calling module is used for calling energy storage control deviation configured by the photovoltaic power station according to rated power of energy storage configured by the photovoltaic power station if the second judging result indicates no;
and the energy storage recovery module is used for recovering the charge state of the energy storage configured by the photovoltaic power station according to the charge state of the energy storage at the current moment and the reference charge state if the second judgment result indicates yes.
An electronic device comprises a memory, a processor and a computer program stored in the memory and capable of running on the processor, wherein the processor realizes the energy storage calling method considering the grid connection requirement and the energy storage charge state of a photovoltaic power station when executing the computer program.
A computer readable storage medium having stored thereon a computer program which when executed implements an energy storage invocation method as described above that takes into account grid connection requirements and energy storage states of charge of a photovoltaic power plant.
According to the specific embodiment provided by the application, the application discloses the following technical effects:
the application discloses an energy storage calling method considering grid connection requirements of a photovoltaic power station and an energy storage state of charge, which utilizes photovoltaic prediction output data, considers three conditions of long time scale out-of-limit, long time scale out-of-limit and short time scale out-of-limit, long time and short time scale out-of-limit, adopts a calling method for calling energy storage control deviation and recovering the energy storage state of charge, and can recover the energy storage state of charge and prolong the service life of an energy storage battery while meeting the grid connection requirements of the photovoltaic power station.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions of the prior art, the drawings that are needed in the embodiments will be briefly described below, it being obvious that the drawings in the following description are only some embodiments of the present application, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flow chart of an energy storage calling method considering grid connection requirements of a photovoltaic power station and energy storage charge states, which is provided by an embodiment of the application;
fig. 2 is a schematic diagram of an energy storage calling method considering grid connection requirements and energy storage charge states of a photovoltaic power station according to an embodiment of the present application.
Detailed Description
The following description of the embodiments of the present application will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present application, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
In order that the above-recited objects, features and advantages of the present application will become more readily apparent, a more particular description of the application will be rendered by reference to the appended drawings and appended detailed description.
Aiming at the problem of power overflow or lack caused by overlarge fluctuation when a photovoltaic power station is connected to a power grid, the application provides an energy storage calling method considering the grid connection requirement of the photovoltaic power station and the energy storage charge state in order to meet the technical specification requirement of the photovoltaic power station connected to the power grid by calling the configured energy storage mode and to prolong the service life of the energy storage and consider the recovery of the energy storage charge state under certain conditions.
As shown in fig. 1, an energy storage calling method considering grid connection requirements and energy storage charge states of a photovoltaic power station according to an embodiment of the present application includes:
step S1: obtaining the maximum output variation of the photovoltaic power station in a first time scale and the maximum output variation of the photovoltaic power station in a second time scale; wherein the second time scale is n times the first time scale, and n is a positive integer.
Reading a short time scale T according to the technical regulation requirement of the photovoltaic power station accessing the power grid s The maximum output variation of (2) is P s Long time scale T l The maximum output variation of (2) is P l Wherein T is l ＝nT s . Taking the current photovoltaic power station access power grid technical regulation as an example, the maximum output variation of a short time scale of 1min and a long time scale of 10min is regulated, and n is 10.
Step S2: according to the actual output of the photovoltaic power station at the current moment, the environmental parameters and the historical actual output of the photovoltaic power station are combined, and a photovoltaic predicted output sequence of a second time scale from the current moment is predicted; the photovoltaic predicted output sequence comprises n photovoltaic predicted output values of first time scales.
At the current moment of t, the actual output of the photovoltaic power station is P r (T) predicting the next long time scale T based on solar radiation, air temperature, humidity, cloud cover and historical operating data of the power station l The photovoltaic predicted force sequence of (2) 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 ) The forces are predicted for photovoltaic cells of the 1 st, 2 nd and n first time scales, respectively, from the current time t.
The power station historical operation data specifically refers to actual output data of the photovoltaic power station in the past period, and the actual output data is equivalent to the future photovoltaic output which can be predicted by combining the photovoltaic output in the past period. Depending on the actual historical data, the last year or two years of data may be used, with only two months of data.
The existing photovoltaic prediction method is various, one of the existing photovoltaic prediction methods is selected according to the data, no innovation is made on the photovoltaic prediction method, and a traditional mode is selected. The time series prediction method can be selected as (1): the most classical, systematic, and widely adopted type of predictive method. Statistical analysis is carried out by using past time sequence data, the development trend of things is estimated, and curve fitting prediction is carried out according to the change rule of a single time sequence; (2) artificial neural network method: the input layer is the weather information of the existing solar radiation quantity, air temperature, humidity, cloud quantity and the like, the output is the power station operation output data, the existing data is divided into a training set and a testing set to carry out neural network training, and after the weights of all layers in the neural network are determined, the weather information of the solar radiation quantity, air temperature, humidity, cloud quantity and the like of the future weather is input, so that the future output can be predicted. In addition, the method also comprises the following steps: (3) An autoregressive moving average model method, (4) a support vector machine method, (5) a wavelet analysis method, and the like.
Step S3: judging whether the photovoltaic predicted power of the nth first time scale of the photovoltaic predicted power sequence is within the acceptable power range of the long time scale of the power grid or not, and obtaining a first judgment result; the grid long time scale acceptable power range is determined by the maximum output variation of the second time scale.
Judging long time scale T l Photovoltaic predicted force value P of (2) f (t+T l ) Whether or not within acceptable power range of the grid, i.e. whether or not P is met r (t)-P l ≤P f (t+T l )≤P r (t)+P l 。
Step S4: and if the first judgment result indicates no, invoking energy storage control deviation configured by the photovoltaic power station in a second time scale according to rated power of energy storage configured by the photovoltaic power station.
Referring to fig. 2, the rated power P of the energy stored in the photovoltaic power station needs to be read before the energy stored is transferred rated Rated energy capacity E rated The reference state of charge that facilitates reducing energy storage life decay is SOC ref The current state of charge SOC (t) is stored.
If long time scale T l The photovoltaic predicted force value of (2) is out of limit, the energy storage control deviation is called, and the energy storage output P is generated st (t+xT s ) The following formula (where x=1, 2, …, n) is satisfied:
that is, if the long period of time is out of limit, it is necessary to change from time T to time t+T l The time scale of the energy storage real-time calling is T s . For example, assume time t is 0, T l 10min, T s When the predicted output force exceeds the limit at the judging time of 10min for 1min, the energy storage is adjusted to control deviation at the time of 1,2, 3 and … min according to the real-time output condition.
Step S5: if the first judgment result indicates yes, judging whether the photovoltaic predicted power of each first time scale except the nth one in the photovoltaic predicted power sequence is within the acceptable power range of the power grid short time scale or not, and obtaining a second judgment result; the grid short time scale acceptable power range is determined by the maximum output variation of the first time scale.
If long time scale T l If the photovoltaic predicted force value of (1) is not out of limit, judging the short time scale T s Photovoltaic predicted force value P of (2) f (t+iT s ) Whether or not within acceptable power range of the grid, i.e. whether or not P is met r (t+iT s -T s )-P s ≤P f (t+iT s )≤P r (t+iT s -T s )+P s . Wherein iT is s Representing a long time scale T l The ith short time scale T traversed next s I has an initial value of 1.
Step S6: and if the second judgment result indicates no, invoking energy storage control deviation configured by the photovoltaic power station according to rated power of energy storage configured by the photovoltaic power station.
If the short time scale T s The photovoltaic predicted force value of (2) is out of limit, the energy storage control deviation is called, and the energy storage output P is generated st (t+iT s ) Satisfies the following formula:
step S7: and if the second judgment result shows that the energy storage state is yes, recovering the energy storage state of the photovoltaic power station according to the energy storage state of the current moment and the reference state of charge.
If the short time scale T s If the photovoltaic predicted force value of (2) is not out of limit, recovering the energy storage charge state and the energy storage output P st (t+iT s ) (wherein lambda is an energy storage state of charge recovery coefficient, lambda is 0.ltoreq.lambda.ltoreq.1) satisfying the following formula:
traversing the long time scale T for steps S5 to S7 l All short time scales T s 。
After the above steps are performed, the current time t=t+t is updated l If T is less than or equal to the time period T for calling energy storage all Proceeding to the next long time scale T l Repeating the above steps, and ending the process if not.
The application aims to provide an energy storage calling method considering grid connection requirements of a photovoltaic power station and the state of charge of energy storage, and the three conditions that the photovoltaic prediction output is out of limit in a long time scale, the long time scale is not out of limit, the short time scale is out of limit, and the long time and the short time scale are not out of limit are considered.
The application has the main technical advantages that:
(1) The application provides an energy storage calling method considering grid connection requirements of a photovoltaic power station, which can meet the requirements of the photovoltaic power station on the maximum active output variation acceptable by a power grid in a short time scale and a long time scale when the photovoltaic power station is connected to the power grid, and avoid overload or deficiency of the power grid.
(2) The application provides an energy storage calling method considering the energy storage state of charge, which can restore the energy storage state of charge when the output of a photovoltaic power station is not out of limit, so that the energy storage is maintained at the reference state of charge as much as possible, the deep charge and discharge are reduced, and the service life attenuation of the energy storage is reduced.
(3) The application provides an energy storage calling method considering grid connection requirements of a photovoltaic power station and an energy storage charge state, which utilizes photovoltaic prediction force data, considers three situations of long time scale out-of-limit, short time scale out-of-limit which is not out-of-limit for long time scale and short time scale out-of-limit, and adopts a calling method for calling energy storage control deviation and recovering the energy storage charge state, thereby meeting the grid connection requirements of the photovoltaic power station and simultaneously achieving the recovery of the energy storage charge state.
In order to execute the method corresponding to the above embodiment to achieve the corresponding functions and technical effects, an energy storage calling system considering the grid connection requirement and the energy storage charge state of the photovoltaic power station is provided below, which is characterized by comprising:
the maximum output variation acquisition module is used for acquiring the maximum output variation of the photovoltaic power station in a first time scale and the maximum output variation of the photovoltaic power station in a 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 for predicting a photovoltaic predicted output sequence of a second time scale from the current moment according to the actual output of the photovoltaic power station at the current moment and by combining the environmental parameter and the historical actual output of the photovoltaic power station; the photovoltaic predicted output sequence comprises n photovoltaic predicted output values of a first time scale;
the first judging module is used for judging whether the photovoltaic predicted power of the nth first time scale of the photovoltaic predicted power sequence is within the acceptable power range of the long time scale of the power grid or not, and obtaining a first judging result; the acceptable power range of the power grid long time scale is determined by the maximum output variable quantity of the second time scale;
the first energy storage calling module is used for calling energy storage control deviation configured by the photovoltaic power station in a second time scale according to rated power of energy storage configured by the photovoltaic power station if the first judging result indicates no;
the second judging module is used for judging whether the photovoltaic predicted power of each first time scale except the nth time scale in the photovoltaic predicted power sequence is within the acceptable power range of the power grid in a short time scale or not if the first judging result shows yes, and obtaining a second judging result; the acceptable power range of the power grid in a short time scale is determined by the maximum output variable quantity of the first time scale;
the second energy storage calling module is used for calling energy storage control deviation configured by the photovoltaic power station according to rated power of energy storage configured by the photovoltaic power station if the second judging result indicates no;
and the energy storage recovery module is used for recovering the charge state of the energy storage configured by the photovoltaic power station according to the charge state of the energy storage at the current moment and the reference charge state if the second judgment result indicates yes.
The energy storage calling system considering the grid-connected requirement and the energy storage charge state of the photovoltaic power station provided by the embodiment of the application is similar to the energy storage calling method considering the grid-connected requirement and the energy storage charge state of the photovoltaic power station described in the embodiment, and the working principle and the beneficial effects of the energy storage calling system are similar, so that details are not described herein, and specific contents can be referred to the description of the embodiment of the method.
The application also provides an electronic device, which comprises a memory, a processor and a computer program stored in the memory and capable of running on the processor, wherein the processor realizes the energy storage calling method considering the grid connection requirement and the energy storage charge state of the photovoltaic power station when executing the computer program.
Furthermore, the computer program in the above-described memory may be stored in a computer-readable storage medium when it is implemented in the form of a software functional unit and sold or used as a separate product. Based on this understanding, the technical solution of the present application may be embodied essentially or in a part contributing to the prior art or in the form of a software product stored in a storage medium, comprising several instructions for causing a computer device (which may be a personal computer, a server or a network device, etc.) to perform all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: various media capable of storing program codes, such as a U disk, a mobile hard disk, a read-only memory, a random access memory, a magnetic disk or an optical disk.
Further, the application also provides a computer readable storage medium, on which a computer program is stored, which when executed implements the energy storage calling method taking the grid connection requirement and the energy storage charge state of the photovoltaic power station into consideration.
In the present specification, each embodiment is described in a progressive manner, and each embodiment is mainly described in a different point from other embodiments, and identical and similar parts between the embodiments are all enough to refer to each other.
The principles and embodiments of the present application have been described herein with reference to specific examples, the description of which is intended only to assist in understanding the methods of the present application and the core ideas thereof; also, it is within the scope of the present application to be modified by those of ordinary skill in the art in light of the present teachings. In view of the foregoing, this description should not be construed as limiting the application.

Claims (8)

1. An energy storage calling method considering grid connection requirements and energy storage charge states of a photovoltaic power station is characterized by comprising the following steps:
obtaining the maximum output variation of the photovoltaic power station in a first time scale and the maximum output variation of the photovoltaic power station in a 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, the environmental parameters and the historical actual output of the photovoltaic power station are combined, and a photovoltaic predicted output sequence of a second time scale from the current moment is predicted; the photovoltaic predicted output sequence comprises n photovoltaic predicted output values of a first time scale;
judging whether the photovoltaic predicted power of the nth first time scale of the photovoltaic predicted power sequence is within the acceptable power range of the long time scale of the power grid or not, and obtaining a first judgment result; the acceptable power range of the power grid long time scale is determined by the maximum output variable quantity of the second time scale;
if the first judgment result indicates no, invoking energy storage control deviation configured by the photovoltaic power station in a second time scale according to rated power of energy storage configured by the photovoltaic power station;
if the first judgment result indicates yes, judging whether the photovoltaic predicted power of each first time scale except the nth one in the photovoltaic predicted power sequence is within the acceptable power range of the power grid short time scale or not, and obtaining a second judgment result; the acceptable power range of the power grid in a short time scale is determined by the maximum output variable quantity of the first time scale;
if the second judgment result indicates no, the energy storage control deviation configured by the photovoltaic power station is called according to the rated power of the energy storage configured by the photovoltaic power station;
and if the second judgment result shows that the energy storage state is yes, recovering the energy storage state of the photovoltaic power station according to the energy storage state of the current moment and the reference state of charge.
2. The energy storage calling method considering the grid connection requirement of the photovoltaic power station and the energy storage charge state according to claim 1, wherein the method is characterized in that according to the actual output of the photovoltaic power station at the current moment, the predicted output sequence of the photovoltaic with the second time scale from the current moment is predicted by combining the environmental parameter and the historical actual output of the photovoltaic power station, and specifically comprises the following steps:
according to the actual output of the photovoltaic power station at the current moment, combining solar radiation quantity, air temperature, humidity, cloud quantity and historical actual output of the photovoltaic power station, adopting a time sequence prediction method, an artificial neural network method, an autoregressive moving average model method, a support vector machine method or a wavelet analysis method to predict that the photovoltaic predicted output sequence of a second time scale from the current moment t is [ P ] f (t+T s ),P f (t+2T s ),…,P f (t+T l )]The method comprises the steps of carrying out a first treatment on the surface of the Wherein T is s For a first time scale, T l For a second time scale, T l ＝nT s ；P f (t+T s )、P f (t+2T s ) And P f (t+T l ) The forces are predicted for photovoltaic cells of the 1 st, 2 nd and n first time scales, respectively, from the current time t.
3. The energy storage calling method considering grid connection requirements and energy storage charge states of a photovoltaic power station according to claim 2, wherein the acceptable power range of the grid long time scale is [ P ] r (t)-P l ，P r (t)+P l ]The method comprises the steps of carrying out a first treatment on the surface of the Wherein P is r (t) is the actual output force of the photovoltaic power station at the current moment t, P l Maximum output variation for a second time scale;
the short time scale 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 ]The method comprises the steps of carrying out a first treatment on the surface of the Wherein P is r (t+iT s -T s ) For the actual output of the photovoltaic power station of the ith-1 first time scale from the current moment t, P s I=1, 2, …, n, the maximum force variation for the first time scale.
4. The energy storage calling method considering grid connection requirements and energy storage charge states of a photovoltaic power station according to claim 3, wherein the energy storage control deviation configured by the photovoltaic power station is called in a second time scale according to rated power of energy storage configured by the photovoltaic power station, and specifically comprises the following steps:
obtaining rated power P of energy storage configured by photovoltaic power station rated ；
According to the rated power P rated Using the formulaDetermining an energy storage output of each first time scale in the second time scale; wherein P is st (t+iT s ) For the energy storage output of the ith first time scale in the second time scale, P f (t+iT s ) For photovoltaic predicted force of the ith first time scale from the current time t, P r (t+iT s ) The actual output of the photovoltaic power station is the ith first time scale from the current time t;
and according to the energy storage output of each first time scale in the second time scale, invoking the energy storage control deviation configured by the photovoltaic power station.
5. The energy storage calling method considering grid connection requirements of a photovoltaic power station and the state of charge of energy storage according to claim 4, wherein the method for recovering the state of charge of the energy storage configured by the photovoltaic power station according to the state of charge of the energy storage at the current moment and a reference state of charge is specifically comprised of:
obtaining rated energy capacity E of energy storage configured by photovoltaic power station rated Reference state of charge (SOC) conducive to reducing energy storage life decay ref And a stored current state of charge, SOC (t);
according to the rated power P rated Said rated energy capacity E rated The reference state of charge SOC ref And the state of charge SOC (t), using the formulaDetermining the energy storage output when the photovoltaic predicted output value of the first time scale is not in the power range acceptable by the power grid in a short time scale; wherein P is st (t+jT s ) For the energy storage output when the power value is not in the power range acceptable by the power grid short time scale from the photovoltaic forecast of the jth time scale at the current time t, lambda is the energy storage charge state recovery coefficient, and lambda is more than or equal to 0 and less than or equal to 1;
and according to the energy storage output force when the photovoltaic predicted output force value of the first time scale is not in the power grid short time scale acceptable power range, invoking the energy storage control deviation configured by the photovoltaic power station.
6. An energy storage calling system considering grid connection requirements and energy storage charge states of a photovoltaic power station, which is characterized by comprising:
the maximum output variation acquisition module is used for acquiring the maximum output variation of the photovoltaic power station in a first time scale and the maximum output variation of the photovoltaic power station in a 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 for predicting a photovoltaic predicted output sequence of a second time scale from the current moment according to the actual output of the photovoltaic power station at the current moment and by combining the environmental parameter and the historical actual output of the photovoltaic power station; the photovoltaic predicted output sequence comprises n photovoltaic predicted output values of a first time scale;
the first judging module is used for judging whether the photovoltaic predicted power of the nth first time scale of the photovoltaic predicted power sequence is within the acceptable power range of the long time scale of the power grid or not, and obtaining a first judging result; the acceptable power range of the power grid long time scale is determined by the maximum output variable quantity of the second time scale;
the first energy storage calling module is used for calling energy storage control deviation configured by the photovoltaic power station in a second time scale according to rated power of energy storage configured by the photovoltaic power station if the first judging result indicates no;
the second judging module is used for judging whether the photovoltaic predicted power of each first time scale except the nth time scale in the photovoltaic predicted power sequence is within the acceptable power range of the power grid in a short time scale or not if the first judging result shows yes, and obtaining a second judging result; the acceptable power range of the power grid in a short time scale is determined by the maximum output variable quantity of the first time scale;
the second energy storage calling module is used for calling energy storage control deviation configured by the photovoltaic power station according to rated power of energy storage configured by the photovoltaic power station if the second judging result indicates no;
and the energy storage recovery module is used for recovering the charge state of the energy storage configured by the photovoltaic power station according to the charge state of the energy storage at the current moment and the reference charge state if the second judgment result indicates yes.
7. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing the energy storage invocation method according to any one of claims 1 to 5 taking into account grid connection requirements and energy storage states of charge of a photovoltaic power plant when executing the computer program.
8. A computer readable storage medium, characterized in that it has stored thereon a computer program which, when executed, implements the energy storage invoking method according to any of claims 1 to 5 taking into account grid connection requirements and energy storage state of charge of a photovoltaic power plant.
CN202310675274.XA 2023-06-08 2023-06-08 Energy storage calling method considering grid connection requirement of photovoltaic power station and energy storage charge state Pending CN116683434A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN118353084A (en) * 2024-06-18 2024-07-16 苏州思道尔新能源科技有限公司 Photovoltaic grid-connected inverter control system and control method

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN118353084A (en) * 2024-06-18 2024-07-16 苏州思道尔新能源科技有限公司 Photovoltaic grid-connected inverter control system and control method

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