Centralized shared energy storage integrated optimal configuration method, device, equipment and medium

Abstract

The invention relates to the technical field of energy storage, in particular to a centralized shared energy storage integrated optimal configuration method, device, equipment and medium, and the method comprises the steps: obtaining the rated capacity and energy storage configuration proportion of different types of new energy power stations in a new energy power station group; actual output power is calculated according to the rated capacity of different types of new energy power stations; determining the energy storage capacity configuration of the centralized shared energy storage power station meeting different types of new energy power stations; and optimizing the energy storage capacity configuration of the centralized shared energy storage power station according to the actual output power and the operation power constraint, the operation capacity constraint and the operation charge state constraint of the centralized shared energy storage power station. Therefore, the problems that the mode of configuring the energy storage system usually neglects the difference of the output characteristics of different types of new energy power stations, the scientificity and economy of energy storage resource configuration are reduced, the utilization efficiency of shared energy storage is reduced, and the development of large-scale new energy storage is limited in the prior art are solved.

Description

Technical Field

[0001] The present application relates to the field of energy storage technology, and in particular to a centralized shared energy storage integrated optimization configuration method, device, equipment and medium. Background Art

[0002] The volatility and uncertainty of renewable energy generation pose a challenge to the stable operation of the power grid. In order to smooth out this volatility and improve the absorption capacity of renewable energy and the overall efficiency of the power grid, the configuration of energy storage systems has become a key link. The power generation side plays a major role in promoting the rapid development of large-scale renewable energy. From the power generation side, it is usually adopted to separate the ownership and use rights of energy storage resources, and optimize the configuration of energy storage systems by integrating idle energy storage resources to meet the different adjustment needs of multiple participants, that is, sharing energy storage.

[0003] In the relevant technologies, there is usually a problem of configuring different types of new energy power stations with the same energy storage capacity to serve a single new energy power station, thereby reducing the utilization efficiency of shared energy storage, making it impossible for shared energy storage to meet the reuse of retired batteries with different health levels, easily leading to reduced regulation capacity and failure to give full play to the flexibility and potential of energy storage resources; ignoring the differences in their respective output characteristics, resulting in a lack of scientific and economic configuration of energy storage resources; and the high construction and operation and maintenance costs of energy storage facilities, coupled with the imperfect cost relief policy, restricting the pace of large-scale energy storage development, thereby increasing costs, reducing the utilization efficiency of energy storage facilities, and reducing the utilization efficiency of energy storage resources. Summary of the invention

[0004] The present application provides a centralized shared energy storage integrated optimization configuration method, device, equipment and medium to solve the problem that the way of configuring energy storage systems in related technologies usually ignores the differences in output characteristics of different types of new energy power stations, reduces the scientificity and economy of energy storage resource configuration, reduces the utilization efficiency of shared energy storage, and limits the development of large-scale new energy storage.

[0005] The first aspect of the present application provides a method for integrated optimization configuration of centralized shared energy storage, comprising the following steps: obtaining the rated capacity and energy storage configuration ratio of different types of new energy power stations in a new energy power station group; calculating the actual output power of the new energy power station group according to the rated capacity of different types of new energy power stations in the new energy power station group; determining the energy storage capacity configuration of the centralized shared energy storage power station that meets the different types of new energy power stations in the new energy power station group according to the rated capacity and energy storage configuration ratio of different types of new energy power stations; obtaining the operating power constraints, operating capacity constraints and operating state of charge constraints of the centralized shared energy storage power station, and optimizing the energy storage capacity configuration of the centralized shared energy storage power station according to the actual output power, the operating power constraints, operating capacity constraints and operating state of charge constraints of the centralized shared energy storage power station.

[0006] Optionally, in one embodiment of the present application, the energy storage capacity configuration of the centralized shared energy storage power station is optimized according to the actual output power, the operating power constraint, the operating capacity constraint and the operating state of charge constraint of the centralized shared energy storage power station, including: determining the benefit composition of the new energy power station group according to the actual output power; determining the investment and construction cost of the centralized shared energy storage power station according to the energy storage capacity configuration; inputting the benefit composition and the investment and construction cost into a master-slave-cooperative game model, and the master-slave-cooperative game model outputs the master-slave-cooperative game result; based on the master-slave-cooperative game result, the operating power constraint, the operating capacity constraint and the operating state of charge constraint of the centralized shared energy storage power station, the energy storage capacity configuration of the centralized shared energy storage power station is optimized.

[0007] Optionally, in one embodiment of the present application, the construction cost of a centralized shared energy storage power station includes initial construction cost and annual operation and maintenance cost, wherein:

[0008] The initial construction costs are:

[0009]

[0010] Among them, C inv is the initial construction cost of the shared energy storage power station; r is the discount rate; δ P The unit power cost of the shared energy storage power station; E The unit capacity cost of building a shared energy storage power station; is the rated power of the shared energy storage power station; is the rated capacity of the shared energy storage power station;

[0011] The annual operation and maintenance cost is:

[0012]

[0013] Among them, C OM is the annual operation and maintenance cost of the shared energy storage power station; OM The unit power cost of operating and maintaining the shared energy storage power station; P ess,t is the coordinated operating power of the shared energy storage power station at time t.

[0014] Optionally, in one embodiment of the present application, the benefit composition includes the income from grid-connected electricity sales of the new energy power station, the coordinated operation cost of the shared energy storage, the penalty cost for power abandonment and the penalty cost for deviation, wherein:

[0015] The revenue from selling electricity to the grid is:

[0016]

[0017] Among them, I nThe revenue from the sale of electricity to the grid of the new energy power station group; n is the on-grid electricity price of the new energy power station group; P n,t is the actual grid-connected power of the new energy power station group at time t;

[0018] The coordinated operation cost of shared energy storage is:

[0019]

[0020] Among them, C ess The coordinated operation cost of shared energy storage for new energy power stations; ess P is the unit power cost of the shared energy storage power station participating in the output coordination of the new energy power station; ess,t is the coordinated operating power of the shared energy storage power station at time t;

[0021] The penalty cost for curtailment is:

[0022]

[0023] Among them, C pur is the penalty cost of power abandonment of new energy power stations; pur The unit cost of penalty for abandoning electricity from new energy; P pur,t Penalize power for abandoning electricity from new energy sources;

[0024] The deviation penalty cost is:

[0025]

[0026] Among them, C dev is the deviation penalty cost of the new energy power station; dev P is the deviation penalty unit cost of the new energy power station; dev,t is the deviation power of the new energy power station.

[0027] Optionally, in one embodiment of the present application, the master-slave-cooperation game model includes:

[0028] Among them, the objective function of minimizing the investment and construction cost of the first-stage shared energy storage power station;

[0029] min F1=C inv +C om

[0030] Among them, the objective function of maximizing the annual benefit of the second-stage new energy power station group is:

[0031] maxF2=I n -C ess -C pur -C dev

[0032] Among them, Cinv is the initial investment and construction cost of the shared energy storage power station; C om is the annual operation and maintenance cost of the shared energy storage power station; I n The income from the access to the grid of the new energy power station group; C ess The coordination cost of using shared energy storage for renewable energy power stations; C pur C is the penalty cost for power abandonment of new energy power stations; dev is the deviation penalty cost of the new energy power station; minF1 is the objective function for minimizing the investment and construction cost of the shared energy storage power station; maxF2 is the objective function for maximizing the annual benefit of the new energy power station group.

[0033] Optionally, in one embodiment of the present application, the operating power constraint is:

[0034]

[0035] P ch,t · dis,t =0

[0036]

[0037] Among them, P ch,t is the charging power of the shared energy storage power station at time t; P ch,max is the maximum charging power of the shared energy storage power station; P dis,t is the discharge power of the shared energy storage power station at time t; P dis,max is the maximum discharge power of the shared energy storage power station; P ess,t is the coordinated operating power of the shared energy storage power station at time t;

[0038] The operating capacity constraints are:

[0039] E ess,0 =E ess,T

[0040]

[0041] Among them, E ess,t is the energy storage capacity of the shared energy storage power station at time t; η ch is the charging efficiency; η dis is the discharge efficiency; E ess,0 E is the energy storage capacity of the shared energy storage power station at time 0; ess,t-1 is the energy storage capacity of the shared energy storage power station at time t-1; ch,t-1 is the charging power of the shared energy storage power station at time t-1; P dis,t-1 is the discharge power of the shared energy storage power station at time t-1;

[0042] The operating state of charge constraints are:

[0043]

[0044] Among them, SOC t SOC is the state of charge of the shared energy storage power station at time t; min , SOC max They are the lower and upper limits of the state of charge of the shared energy storage power station; SOC t-1 is the state of charge of the shared energy storage power station at time t-1; P ch,t-1 is the charging power of the shared energy storage power station at time t-1; is the rated capacity of the shared energy storage power station; ηch is the charging efficiency; Δt is the time interval; P dis,t-1 is the discharge power of the shared energy storage power station at time t-1; ηdis is the discharge efficiency.

[0045] Optionally, in one embodiment of the present application, the new energy power station includes a photovoltaic power station and a wind power station, and the actual output power of the new energy power station group is calculated according to the rated capacity of different types of new energy power stations in the new energy power station group, including: obtaining the random distribution of wind speed and the distribution of light; calculating the actual output power of the wind power station according to the rated capacity of the wind power station and the random distribution of wind speed; calculating the actual output power of the photovoltaic power station according to the rated capacity and light distribution of the photovoltaic power station; calculating the actual output power of the new energy power station group according to the actual output power of the wind power station and the actual output power of the photovoltaic power station.

[0046] The second aspect of the present application provides a centralized shared energy storage integrated optimization configuration device, including: an acquisition module, used to obtain the rated capacity and energy storage configuration ratio of different types of new energy power stations in a new energy power station group; a calculation module, used to calculate the actual output power of the new energy power station group according to the rated capacity of different types of new energy power stations in the new energy power station group; a determination module, used to determine the energy storage capacity configuration of the centralized shared energy storage power station that meets the different types of new energy power stations in the new energy power station group according to the rated capacity and energy storage configuration ratio of different types of new energy power stations; an optimization module, used to obtain the operating power constraints, operating capacity constraints and operating state of charge constraints of the centralized shared energy storage power station, and optimize the energy storage capacity configuration of the centralized shared energy storage power station according to the actual output power, the operating power constraints, operating capacity constraints and operating state of charge constraints of the centralized shared energy storage power station.

[0047] The third aspect of the present application provides an electronic device, including: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement a centralized shared energy storage integrated optimization configuration method as described in the above embodiment.

[0048] The fourth aspect of the present application provides a computer-readable storage medium having a computer program or instruction stored thereon. When the computer program or instruction is executed, the centralized shared energy storage integrated optimization configuration method as described in the above embodiment is implemented.

[0049] Therefore, this application includes the following beneficial effects:

[0050] The embodiment of the present application considers the complementary characteristics and installed capacity of the output of different types of new energy power stations, takes into account their regulation needs, constructs an output model of a new energy power station group, completes the optimal configuration of the co-construction of centralized shared energy storage on the power generation side, and improves the utilization rate of energy storage resources; proposes an optimal configuration model for the co-construction of centralized shared energy storage on the power generation side based on the master-slave-cooperative game, proposes a cooperative co-construction centralized shared energy storage framework based on the game relationship between multiple new energy power stations, and optimizes the final configuration plan, thereby improving the flexibility and economy of new energy power stations, improving the utilization efficiency of shared energy storage, and improving the development of large-scale new energy storage. As a result, it solves the problem that the way of configuring energy storage systems in related technologies usually ignores the differences in the output characteristics of different types of new energy power stations, reduces the scientificity and economy of energy storage resource configuration, reduces the utilization efficiency of shared energy storage, and limits the development of large-scale new energy storage.

[0051] Additional aspects and advantages of the present application will be given in part in the description below, and in part will become apparent from the description below, or will be learned through the practice of the present application. BRIEF DESCRIPTION OF THE DRAWINGS

[0052] The above and / or additional aspects and advantages of the present application will become apparent and easily understood from the following description of the embodiments in conjunction with the accompanying drawings, in which:

[0053] Figure 1 A schematic diagram of a flow chart of a centralized shared energy storage integrated optimization configuration method provided according to an embodiment of the present application;

[0054] Figure 2 A schematic diagram of the structure of a centralized shared energy storage integrated optimization configuration method provided according to an embodiment of the present application;

[0055] Figure 3 A schematic diagram of the interaction of a master-slave-cooperative game model provided according to an embodiment of the present application;

[0056] Figure 4 A flowchart of a centralized shared energy storage integrated optimization configuration method provided according to an embodiment of the present application;

[0057] Figure 5 A block diagram of a centralized shared energy storage integrated optimization configuration device provided according to an embodiment of the present application;

[0058] Figure 6 Schematic diagram of the structure of an electronic device according to an embodiment of the present application. DETAILED DESCRIPTION

[0059] The embodiments of the present application are described in detail below, and examples of the embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are intended to be used to explain the present application, and should not be construed as limiting the present application.

[0060] Before introducing the present application, the related technologies of the present application are first described.

[0061] Energy storage configured with new energy can smooth out fluctuations in the output power of new energy, that is, through a reasonable operation strategy of energy storage, smooth power output can be achieved, and the bidirectional charging and discharging characteristics of the energy storage system can be utilized to charge during low load periods and discharge during peak load periods, thereby reducing the wind and solar power abandonment rate to increase the amount of new energy consumption and reduce the deviation of power generation plans. That is, through the energy storage device in conjunction with the new energy power prediction system, the deviation of the power generation plan can be "charged and discharged to correct deviations", the output curve can be corrected in a timely manner, and the safe operation stability of the power grid can be improved (participating in the primary frequency regulation of the system, providing reactive power / voltage support, and improving the quality of electric energy, etc.). Compared with the grid side and the user side, the power generation side plays a significant role in promoting the rapid development of large-scale new energy. However, the distributed energy storage regulation service function on the power generation side in the relevant technology is single, and fails to fully tap the flexible regulation capacity of energy storage; different types of new energy are configured with the same energy storage, and its adaptability lacks scientific demonstration; it is restricted by cost relief policies and faces the shackles of large-scale development.

[0062] Shared energy storage separates the ownership and use rights of energy storage resources, and integrates idle energy storage resources to meet the different adjustment needs of multiple participants. On the one hand, by realizing the time-space reuse of energy storage resources, the resource utilization rate is improved and the role of energy storage is fully utilized; on the other hand, it can encourage various energy companies to establish shared energy storage power stations, use economies of scale to reduce investment costs, and achieve a win-win situation for all parties. At present, many provinces and cities in China have carried out pilot projects in the field of shared energy storage, effectively integrating the energy storage resources of supporting construction of new energy power stations and energy storage resources independently built by third parties to improve the economy and flexibility of energy storage. Taking Qinghai Province as an example, the current scale of energy storage participating in sharing has reached 82,000 kilowatts, and the cumulative new energy power generation has exceeded 100 million kilowatt-hours. Considering the continuous improvement of energy storage technology, the full opening of types, and the reuse of retired batteries of different health levels in the future, from the perspective of optimizing the operation of the power system on the power generation side, improving the utilization rate of energy storage facilities, and supporting the gradual increase in the proportion of new energy, a unified planning and unified construction model should be adopted to vigorously develop centralized shared energy storage in new energy power station clusters.

[0063] Therefore, under the changing form of new power systems in the future, it is urgent to study the integrated planning and diversified operation methods of large-scale centralized energy storage, improve the level of shared utilization, optimize resource allocation, and improve investment utilization.

[0064] Therefore, the deficiencies in the related art are as follows:

[0065] (1) The energy storage configuration in related technologies usually serves a single renewable energy power station with limited regulation capabilities, which cannot fully tap the flexibility and potential of energy storage resources.

[0066] (2) Related technologies usually configure different types of new energy power stations with the same energy storage capacity, ignoring the differences in their output characteristics, resulting in a configuration of energy storage resources that lacks scientificity and economy.

[0067] (3) The construction and operation and maintenance costs of energy storage facilities in related technologies are high, and the imperfect cost mitigation policy has increased costs and restricted the development of large-scale new energy storage.

[0068] (4) The interaction and optimal configuration between new energy power stations and shared energy storage in related technologies are usually not achieved, resulting in inefficient utilization of energy storage resources.

[0069] In order to solve the above problems, the present application provides a centralized shared energy storage integrated optimization configuration method, device, equipment and medium. In the centralized shared energy storage integrated optimization configuration method, the rated capacity and energy storage configuration ratio of different types of new energy power stations in the new energy power station group are obtained; the actual output power of the new energy power station group is calculated according to the rated capacity of different types of new energy power stations in the new energy power station group; according to the rated capacity and energy storage configuration ratio of different types of new energy power stations, the energy storage capacity configuration of the centralized shared energy storage power station that meets the different types of new energy power stations in the new energy power station group is determined; the operating power constraints, operating capacity constraints and operating state of charge constraints of the centralized shared energy storage power station are obtained, and the energy storage capacity configuration of the centralized shared energy storage power station is optimized according to the actual output power, the operating power constraints, operating capacity constraints and operating state of charge constraints of the centralized shared energy storage power station. The centralized shared energy storage integrated optimization configuration method will be described below. Figure 1 It is a flow chart of the centralized shared energy storage integrated optimization configuration method provided in the embodiment of the present application.

[0070] like Figure 1 As shown, the centralized shared energy storage integrated optimization configuration method includes the following steps:

[0071] In step S101, the rated capacity and energy storage configuration ratio of different types of new energy power stations in the new energy power station group are obtained.

[0072] It should be noted that the embodiments of the present application can be applied to usage scenarios on the power generation side and are not specifically limited here.

[0073] It is understandable that if Figure 2 As shown, the new energy power station group may include multiple new energy power stations of different types, which may be photovoltaic power stations, wind power stations, or photovoltaic and wind hybrid power stations.

[0074] Among them, PC1 is used as an example for a wind power station; PC2 is used as an example for a photovoltaic power station; and PC3 is used as an example for a photovoltaic and wind hybrid power station.

[0075] Specifically, in the embodiments of the present application, the rated capacity information and energy storage configuration ratio of the new energy power station can be provided by the power station builder or operator, or obtained from official channels such as the government energy management department, industry associations or power dispatching centers; for newly built or planned new energy power stations, the rated capacity data and energy storage configuration ratio data can be directly obtained through design drawings and technical specifications; for power stations that have been built and operated, the rated capacity information and energy storage configuration ratio data can be obtained through on-site investigations and reference to technical documents such as the power station's installation and commissioning reports and operation and maintenance manuals. The method for obtaining the rated capacity and energy storage configuration ratio of the new energy power station is not specifically limited here, and technical personnel in this field can make settings according to actual conditions.

[0076] It should be noted that the decision-making behaviors involved in the investment and construction of new energy power stations are rational, without considering issues such as the grid structure of the power system between power stations and power flow congestion.

[0077] In step S102, the actual output power of the new energy power station group is calculated according to the rated capacity of different types of new energy power stations in the new energy power station group.

[0078] It can be understood that in the embodiment of the present application, the uncertainty of the output of the new energy power station is first analyzed, and a multi-new energy power station operation scenario is constructed.

[0079] Specifically, based on the power generation characteristics of the new energy power station, an output model of the new energy power station is established, its output characteristics are analyzed, and the actual output power of the new energy power station group is calculated, which is convenient for comparing the planned online power of the new energy power station in the following embodiments to establish a balance constraint on the online power of the new energy power station.

[0080] like Figure 2 As shown, based on the geographical location and power network architecture, there are public connection points between multiple power stations, and the new energy power station group is connected and interacted with the shared energy storage power station.

[0081] It should be noted that the embodiments of the present application are executed based on a computer or the software therein, and the output model of the new energy power station can be obtained through the power system calculation and analysis software MATLAB and the mixed integer linear programming solution software CPLEX and GUROBI, and computer programs can be run on the software.

[0082] Optionally, in one embodiment of the present application, the new energy power station includes a photovoltaic power station and a wind power station, and the actual output power of the new energy power station group is calculated according to the rated capacity of different types of new energy power stations in the new energy power station group, including: obtaining the random distribution of wind speed and the distribution of light; calculating the actual output power of the wind power station according to the rated capacity of the wind power station and the random distribution of wind speed; calculating the actual output power of the photovoltaic power station according to the rated capacity and light distribution of the photovoltaic power station; calculating the actual output power of the new energy power station group according to the actual output power of the wind power station and the actual output power of the photovoltaic power station.

[0083] Specifically, in the embodiment of the present application, the actual output power of the new energy power station group can be calculated by the following steps:

[0084] (1) The random distribution of wind speed is represented by Weibull distribution, and its distribution function is:

[0085]

[0086] Where v is the random wind speed, unit: m / s; k is the shape parameter of the Weibull distribution; c is the scale parameter of the Weibull distribution; f(v) is the random distribution function of the wind speed.

[0087] The relevant parameters of the Weibull distribution are:

[0088]

[0089]

[0090] Among them, σ and μ are the mean and standard deviation of random wind speed respectively; Γ() is the gamma function; k is the shape parameter of Weibull distribution; c is the scale parameter of Weibull distribution.

[0091] (2) The specific expression of the relationship between the active output of the wind turbine at time t and the wind speed at time t is as follows:

[0092]

[0093] Among them, v t is the wind speed at time t; v ci is the cut-in wind speed of the wind turbine; v N is the rated wind speed of the wind turbine; v cois the cut-out wind speed of the wind turbine; is the rated output power of the wind turbine; P w,t It is the relationship between the active output of the wind turbine at time t and the wind speed at time t.

[0094] (3) The actual output power of wind power station i at time t is:

[0095] P W,i,t = W,t n i

[0096] Among them, n i is the number of wind turbines in the wind power station; P w,t is the relationship between the active power output of the wind turbine at time t and the wind speed at time t; P W,i,t is the actual output power of wind power station i at time t.

[0097] (4) The embodiment of the present application uses Beta distribution to represent the illumination intensity of sunlight, and its distribution function is:

[0098]

[0099] Among them, r, r max are the actual illumination intensity and maximum illumination intensity of sunlight respectively; α and β are the shape parameters of Beta distribution; Γ() is the gamma function; f(r) is the distribution function of Beta; Beta is the illumination intensity of sunlight.

[0100] The shape parameter of the Beta distribution is:

[0101]

[0102]

[0103] Among them, μ is the mean value of light intensity; σ is the standard deviation of light intensity; α and β are the shape parameters of Beta distribution.

[0104] (5) The actual output power of photovoltaic power station j at time t is:

[0105] P S,j,t = t S j η j

[0106] Among them, r t is the light intensity at time t; S j is the total area of ​​photovoltaic cells in the photovoltaic power station; η j is the conversion efficiency of photovoltaic cells; P S,j,t is the actual output power of PV station j at time t.

[0107] (6) It should be noted that since the new energy power station group is connected and interacted with the shared energy storage power station, the actual output power of the new energy power station group is:

[0108]

[0109] Among them, P r, is the actual output power of the new energy power station group at time t; P W,i,t is the actual output power of wind power station i at time t; P S,j,t is the actual output power of PV station j at time t.

[0110] In step S103, according to the rated capacity and energy storage configuration ratio of different types of new energy power stations, the energy storage capacity configuration of the centralized shared energy storage power station that meets the needs of different types of new energy power stations in the new energy power station group is determined.

[0111] It should be noted that if Figure 2 As shown, the centralized shared energy storage system co-built on the power generation side includes multiple new energy power stations, centralized shared energy storage and power grids.

[0112] Specifically, new energy power stations achieve energy transfer by jointly building centralized shared energy storage. By constructing an output model of the new energy power station group on the power generation side, the output characteristics of different types of new energy power stations are analyzed to analyze the regulation needs of the new energy power stations, thereby improving the accuracy of determining the energy storage capacity configuration of the centralized shared energy storage power station that meets the needs of different types of new energy power stations within the new energy power station group.

[0113] Based on the configuration capacity of the largest new energy power station in the collection station, a centralized shared energy storage power station is designed to independently meet the energy storage configuration requirements of each new energy power station. According to the maximum power limit of daily operation, the maximum output coordination of daily operation of the new energy power station is met. Among them, the relationship between the energy storage capacity configuration of the centralized shared energy storage power station that meets different types of new energy power stations in the new energy power station group is as follows:

[0114]

[0115]

[0116] in, is the rated capacity of wind power station i; is the rated capacity of PV plant j; η W , η s They are the energy storage configuration ratios of wind power stations and photovoltaic power stations respectively; is the rated power of the shared energy storage power station; P ess,max It is the maximum output power of the shared energy storage power station.

[0117] Therefore, in the embodiment of the present application, it is possible to achieve coordinated operation of multiple power stations based on the output complementary characteristics of multiple types of renewable energy power stations, thereby more accurately determining the energy storage capacity configuration of the centralized shared energy storage power station that meets the needs of different types of renewable energy power stations within the renewable energy power station group.

[0118] In step S104, the operating power constraint, operating capacity constraint and operating state of charge constraint of the centralized shared energy storage power station are obtained, and the energy storage capacity configuration of the centralized shared energy storage power station is optimized according to the actual output power, the operating power constraint, operating capacity constraint and operating state of charge constraint of the centralized shared energy storage power station.

[0119] It can be understood that the embodiments of the present application can construct a centralized shared energy storage optimization configuration model on the power generation side based on the output characteristics of the new energy power station and their relationship, so as to more accurately and quickly optimize the energy storage capacity configuration of the centralized shared energy storage power station.

[0120] Therefore, in the embodiment of the present application, by optimizing the configuration model, the reasonable allocation and efficient utilization of energy storage resources among different new energy power stations are ensured, the redundant construction of energy storage facilities is reduced, the turnover rate and service life of energy storage assets are improved, and the resource utilization efficiency of the entire energy system is improved.

[0121] Optionally, in one embodiment of the present application, the energy storage capacity configuration of the centralized shared energy storage power station is optimized according to the actual output power, the operating power constraint, the operating capacity constraint and the operating state of charge constraint of the centralized shared energy storage power station, including: determining the benefit composition of the new energy power station group according to the actual output power; determining the investment and construction cost of the centralized shared energy storage power station according to the energy storage capacity configuration; inputting the benefit composition and the investment and construction cost into a master-slave-cooperative game model, and the master-slave-cooperative game model outputs the master-slave-cooperative game result; based on the master-slave-cooperative game result, the operating power constraint, the operating capacity constraint and the operating state of charge constraint of the centralized shared energy storage power station, the energy storage capacity configuration of the centralized shared energy storage power station is optimized.

[0122] Specifically, in the embodiments of the present application, Figure 3 As shown in the figure, the master-slave-cooperation game model is based on a master-slave game relationship between the upper and lower layers. The upper model takes the configuration capacity of centralized shared energy storage as the decision variable, and aims to minimize the total configuration cost of energy storage; the lower model takes the annual power consumption of the new energy power station group as the decision variable, and aims to maximize the annual operating benefits of the new energy power station group.

[0123] It should be noted that there are different constraints on the upper and lower layers. Among them, the lower layer constitutes a cooperative game, and multiple new energy power stations form an alliance to jointly share the investment and construction costs of centralized shared energy storage power stations. Specifically, the subjects of the upper and lower layers constrain each other, and the multiple participating subjects of the lower layer build an alliance.

[0124] Therefore, in the embodiment of the present application, a master-slave game relationship is formed between the shared energy storage and the new energy power station cluster, and a cooperative game relationship is formed within the new energy power station cluster; based on the dual game relationship, energy interaction is achieved within the power station and between the power station and the energy storage, thereby improving the overall economic benefits and satisfying the interests of multiple parties.

[0125] Optionally, in one embodiment of the present application, the master-slave-cooperation game model includes:

[0126] Among them, the objective function of minimizing the investment and construction cost of the first-stage shared energy storage power station;

[0127] minF1= inv + om

[0128] Among them, the objective function of maximizing the annual benefit of the second-stage new energy power station group is:

[0129] max F2=I n -C ess -C pur -C dev

[0130] Among them, C inv is the initial investment and construction cost of the shared energy storage power station; C om is the annual operation and maintenance cost of the shared energy storage power station; I n The income from the access to the grid of the new energy power station group; C ess The coordination cost of using shared energy storage for renewable energy power stations; C pur C is the penalty cost for power abandonment of new energy power stations; dev is the deviation penalty cost of the new energy power station; minF1 is the objective function for minimizing the investment and construction cost of the shared energy storage power station; maxF2 is the objective function for maximizing the annual benefit of the new energy power station group.

[0131] It can be understood that the embodiment of the present application not only takes into account the satisfaction of the regulation needs of the new energy power station, but also takes into account the energy interaction between the new energy power stations, so that the system absorption level is further improved, thereby enhancing the flexibility and economy of the new energy power station.

[0132] Therefore, in the embodiment of the present application, based on the game relationship between multiple renewable energy power stations, a cooperatively built centralized shared energy storage framework is proposed, which not only solves the limitations of the energy storage configuration of a single power station, but also promotes collaborative cooperation between different types of renewable energy power station groups, and optimizes the final configuration plan; in addition, taking into account the regulation needs of different types of renewable energy power stations, a centralized shared energy storage optimization configuration model based on the master-slave-cooperative game is proposed on the power generation side to improve the flexibility and economy of renewable energy power stations.

[0133] Optionally, in one embodiment of the present application, the construction cost of a centralized shared energy storage power station includes initial construction cost and annual operation and maintenance cost, wherein:

[0134] The initial construction costs are:

[0135]

[0136] Among them, C inv is the initial construction cost of the shared energy storage power station; r is the discount rate; δ P The unit power cost of the shared energy storage power station; E The unit capacity cost of building a shared energy storage power station; is the rated power of the shared energy storage power station; is the rated capacity of the shared energy storage power station;

[0137] The annual operation and maintenance cost is:

[0138]

[0139] Among them, C OM is the annual operation and maintenance cost of the shared energy storage power station; OM The unit power cost of operating and maintaining the shared energy storage power station; P ess,t is the coordinated operating power of the shared energy storage power station at time t.

[0140] Optionally, in one embodiment of the present application, the benefit composition includes the income from grid-connected electricity sales of the new energy power station, the coordinated operation cost of the shared energy storage, the penalty cost for power abandonment and the penalty cost for deviation, wherein:

[0141] The revenue from selling electricity to the grid is:

[0142]

[0143] Among them, I n The revenue from the sale of electricity to the grid of the new energy power station group; n is the on-grid electricity price of the new energy power station group; P n,t is the actual grid-connected power of the new energy power station group at time t.

[0144] It is understandable that the new energy power station group matches its own grid-connected plan under the coordinated operation of the shared energy storage power station.

[0145] Specifically, when the centralized shared energy storage power station is applied to the new energy power station group on the power generation side, it is mainly used to coordinate the output plan of the new energy power station. Under the coordination of the shared energy storage power station, the actual grid-connected power of the new energy power station is specifically expressed as follows:

[0146]

[0147] Among them, P n, is the actual grid-connected power of the new energy power station group at time t; P r,t is the actual output power of the new energy power station group at time t; P ess,t is the coordinated operating power of the shared energy storage power station at time t.

[0148] It is understandable that when a new energy power station group uses shared energy storage services, certain coordination and operation costs will be incurred. The coordinated operation of shared energy storage of new energy power stations, among which, the coordinated operation cost of shared energy storage is:

[0149]

[0150] Among them, C ess The coordinated operation cost of shared energy storage for new energy power stations; ess P is the unit power cost of the shared energy storage power station participating in the output coordination of the new energy power station; ess,t is the coordinated operating power of the shared energy storage power station at time t.

[0151] It can be understood that in the embodiment of the present application, in order to improve the power generation utilization rate of the new energy power station and its output prediction accuracy, the abandoned power will be penalized, wherein the abandoned power penalty cost is:

[0152]

[0153] Among them, C pur is the penalty cost of power abandonment of new energy power stations; pur P is the unit cost of power abandonment penalty for renewable energy power station groups; pur,t is the power penalty for abandonment of new energy power station group, where the power abandonment of new energy power station group is:

[0154] P pur,t =P n,t -P f,t ,P f,t <P n,t

[0155] Among them, P f,t is the planned grid-connected power of the new energy power station group at time t; Ppur,t P is the power penalty for power abandonment of new energy power stations; n,t is the actual grid-connected power of the new energy power station group at time t.

[0156] It is understandable that when the grid-connected power of a new energy power station deviates from the planned power, it will bring difficulties to the dispatching and operation of the power system, generate certain frequency regulation costs, and in serious cases threaten the safe operation of the system. Therefore, a penalty fee is charged for the deviation power. The deviation penalty cost of the new energy power station is:

[0157]

[0158] Among them, C dev is the deviation penalty cost of the new energy power station; dev Penalize unit cost for new energy deviation; P dev,t is the deviation power of new energy, where the deviation power of the new energy power station group is:

[0159] P dev,t =P f,t -P n,t ,P f,t ≥P n,t

[0160] Among them, P dev,t is the deviation power of the new energy power station group; P f,t is the planned grid-connected power of the new energy power station group at time t; P pur,t It is the penalty power for the abandoned power of new energy power station groups.

[0161] Therefore, in the embodiments of the present application, on the basis of ensuring the flexibility of the system, through a sophisticated cost-benefit analysis, the economic losses caused by unstable output of new energy power stations are reduced, thereby improving their market competitiveness and economy; at the same time, through the scale effect of centralized shared energy storage, the unit energy storage cost is significantly reduced, making the application of energy storage technology more economical and feasible.

[0162] Optionally, in one embodiment of the present application, the operating power constraint is:

[0163]

[0164] P ch,t · dis,t =0

[0165]

[0166] Among them, P ch, is the charging power of the shared energy storage power station at time t; P ch,max is the maximum charging power of the shared energy storage power station; P dis,tis the discharge power of the shared energy storage power station at time t; P dis,max is the maximum discharge power of the shared energy storage power station; P ess,t is the coordinated operating power of the shared energy storage power station at time t.

[0167] Therefore, in the embodiment of the present application, the power constraint of the shared energy storage power station is set to ensure that the charging and discharging power of the shared energy storage power station does not exceed the maximum value allowed by the energy storage battery, thereby improving the safety of the shared energy storage power station.

[0168] The operating capacity constraints are:

[0169] E ess,0 =E ess,T

[0170]

[0171] Among them, E ess,t is the energy storage capacity of the shared energy storage power station at time t; η ch is the charging efficiency; η dis is the discharge efficiency; E ess,0 E is the energy storage capacity of the shared energy storage power station at time 0; ess,t-1 is the energy storage capacity of the shared energy storage power station at time t-1; ch,t-1 is the charging power of the shared energy storage power station at time t-1; P dis,t-1 is the discharge power of the shared energy storage power station at time t-1.

[0172] Therefore, in the embodiment of the present application, by setting the capacity constraint of the shared energy storage power station, its electric energy capacity can be kept balanced from beginning to end in each cycle, thereby ensuring the sustainable operation of the shared energy storage power station.

[0173] It is understandable that if a shared energy storage power station continues to operate at a state of charge that is too high or too low, it will increase the depreciation of the energy storage battery. Therefore, a working range of the state of charge of the shared energy storage power station is established, that is, an operating state of charge constraint is set. When the state of charge exceeds the limit, the shared energy storage power station will stop working.

[0174] The operating state of charge constraints are:

[0175]

[0176] Among them, SOC t SOC is the state of charge of the shared energy storage power station at time t; min , SOC max They are the lower and upper limits of the state of charge of the shared energy storage power station; SOC t-1 is the state of charge of the shared energy storage power station at time t-1; P ch,t-1is the charging power of the shared energy storage power station at time t-1; is the rated capacity of the shared energy storage power station; η ch is the charging efficiency; Δt is the time interval; P dis,t-1 is the discharge power of the shared energy storage power station at time t-1; η dis is the discharge efficiency.

[0177] Therefore, the embodiment of the present application sets the charge state constraint of the shared energy storage power station to ensure that the shared energy storage power station can operate safely and efficiently under a reasonable charge state, and protects the battery and extends the battery life.

[0178] The centralized shared energy storage integrated optimization configuration method of the embodiment of the present application is described below with reference to a specific embodiment. Figure 4 As shown, the specific process method is as follows:

[0179] 1. Analysis of power generation characteristics of multiple renewable energy power stations and analysis of output complementarity characteristics.

[0180] 2. Establish utility functions of new energy power stations and centralized shared energy storage power stations.

[0181] 3. Establish game interaction relationship modeling between new energy power stations and shared energy storage power stations to complete integrated shared energy storage configuration.

[0182] According to the centralized shared energy storage integrated optimization configuration method proposed in the embodiment of the present application, by considering the complementary characteristics and installed capacity of the output of different types of new energy power stations and taking into account their regulation needs, an output model of the new energy power station group is constructed, and the centralized shared energy storage optimization configuration on the power generation side is completed, thereby improving the utilization rate of energy storage resources; a centralized shared energy storage optimization configuration model for co-construction on the power generation side based on a master-slave-cooperative game is proposed, and based on the game relationship between multiple new energy power stations, a cooperatively constructed centralized shared energy storage framework is proposed, and the final configuration plan is optimized, thereby improving the flexibility and economy of new energy power stations, improving the utilization efficiency of shared energy storage, and improving the development of large-scale new energy storage.

[0183] Next, a centralized shared energy storage integrated optimization configuration device proposed according to an embodiment of the present application will be described with reference to the accompanying drawings.

[0184] Figure 5 It is a block diagram of a centralized shared energy storage integrated optimization configuration device according to an embodiment of the present application.

[0185] like Figure 5 As shown, the centralized shared energy storage integrated optimization configuration device 50 includes: an acquisition module 501, a calculation module 502, a determination module 503 and an optimization module 504.

[0186] Among them, the acquisition module 501 is used to obtain the rated capacity and energy storage configuration ratio of different types of new energy power stations in the new energy power station group; the calculation module 502 is used to calculate the actual output power of the new energy power station group according to the rated capacity of different types of new energy power stations in the new energy power station group; the determination module 503 is used to determine the energy storage capacity configuration of the centralized shared energy storage power station that meets the different types of new energy power stations in the new energy power station group according to the rated capacity and energy storage configuration ratio of different types of new energy power stations; the optimization module 504 is used to obtain the operating power constraints, operating capacity constraints and operating state of charge constraints of the centralized shared energy storage power station, and optimize the energy storage capacity configuration of the centralized shared energy storage power station according to the actual output power, the operating power constraints, operating capacity constraints and operating state of charge constraints of the centralized shared energy storage power station.

[0187] Optionally, in one embodiment of the present application, the new energy power station includes a photovoltaic power station and a wind power station, and the calculation module 502 is also used to obtain the random distribution of wind speed and the distribution of light; calculate the actual output power of the wind power station according to the rated capacity of the wind power station and the random distribution of wind speed; calculate the actual output power of the photovoltaic power station according to the rated capacity and the distribution of light; calculate the actual output power of the new energy power station group according to the actual output power of the wind power station and the actual output power of the photovoltaic power station.

[0188] Optionally, in one embodiment of the present application, the optimization module 504 is further used to determine the benefit composition of the new energy power station group according to the actual output power; determine the investment and construction cost of the centralized shared energy storage power station according to the energy storage capacity configuration; input the benefit composition and the investment and construction cost into the master-slave-cooperative game model, and the master-slave-cooperative game model outputs the master-slave-cooperative game result; based on the master-slave-cooperative game result, the operating power constraint, operating capacity constraint and operating state of charge constraint of the centralized shared energy storage power station, optimize the energy storage capacity configuration of the centralized shared energy storage power station.

[0189] Among them, the master-slave-cooperation game model includes:

[0190] Among them, the objective function of minimizing the investment and construction cost of the first-stage shared energy storage power station;

[0191] minF1= inv + om

[0192] Among them, the objective function of maximizing the annual benefit of the second-stage new energy power station group is:

[0193] maxF2=I n -C ess -C pur -C dev

[0194] Among them, C invis the initial investment and construction cost of the shared energy storage power station; C om is the annual operation and maintenance cost of the shared energy storage power station; I n The income from the access to the grid of the new energy power station group; C ess The coordination cost of using shared energy storage for renewable energy power stations; C pur C is the penalty cost for power abandonment of new energy power stations; dev is the deviation penalty cost of the new energy power station; minF1 is the objective function for minimizing the investment and construction cost of the shared energy storage power station; maxF2 is the objective function for maximizing the annual benefit of the new energy power station group.

[0195] Optionally, in one embodiment of the present application, the construction cost of the centralized shared energy storage power station includes the initial construction cost and the annual operation and maintenance cost. The optimization module 504 is further configured to: the initial construction cost is:

[0196]

[0197] Among them, C inv is the initial construction cost of the shared energy storage power station; r is the discount rate; δ P The unit power cost of the shared energy storage power station; E The unit capacity cost of building a shared energy storage power station; is the rated power of the shared energy storage power station; is the rated capacity of the shared energy storage power station;

[0198] The annual operation and maintenance cost is:

[0199]

[0200] Among them, C OM is the annual operation and maintenance cost of the shared energy storage power station; OM The unit power cost of operating and maintaining the shared energy storage power station; P ess,t is the coordinated operating power of the shared energy storage power station at time t.

[0201] Optionally, in one embodiment of the present application, the benefit composition includes the revenue from grid-connected electricity sales of the new energy power station, the coordinated operation cost of the shared energy storage, the penalty cost for power abandonment, and the penalty cost for deviation, and the optimization module 504 is further used for the revenue from grid-connected electricity sales to be:

[0202]

[0203] Among them, I n The revenue from the sale of electricity to the grid of the new energy power station group; n is the on-grid electricity price of the new energy power station group; P n,t is the actual grid-connected power of the new energy power station group at time t;

[0204] The coordinated operation cost of shared energy storage is:

[0205]

[0206] Among them, C ess The coordinated operation cost of shared energy storage for new energy power stations; ess P is the unit power cost of the shared energy storage power station participating in the output coordination of the new energy power station; ess,t is the coordinated operating power of the shared energy storage power station at time t;

[0207] The penalty cost for curtailment is:

[0208]

[0209] Among them, C pur is the penalty cost of power abandonment of new energy power stations; pur P is the unit cost of the power abandonment penalty of the new energy power station; pur,t Penalize power for abandoned electricity of new energy power stations;

[0210] The deviation penalty cost is:

[0211]

[0212] Among them, C dev is the deviation penalty cost of the new energy power station; dev Penalize unit cost for new energy deviation; P dev,t It is the new energy deviation power.

[0213] The operating power constraint is:

[0214]

[0215] P ch,t · dis,t =0

[0216]

[0217] Among them, P ch, is the charging power of the shared energy storage power station at time t; P ch,max is the maximum charging power of the shared energy storage power station; P dis,t is the discharge power of the shared energy storage power station at time t; P dis,max is the maximum discharge power of the shared energy storage power station; P ess,t is the coordinated operating power of the shared energy storage power station at time t;

[0218] The operating capacity constraints are:

[0219] E ess,0 =Eess,T

[0220]

[0221] Among them, E ess,t is the energy storage capacity of the shared energy storage power station at time t; η ch is the charging efficiency; η dis is the discharge efficiency; E ess,0 E is the energy storage capacity of the shared energy storage power station at time 0; ess,t-1 is the energy storage capacity of the shared energy storage power station at time t-1; ch,t-1 is the charging power of the shared energy storage power station at time t-1; P dis,t-1 is the discharge power of the shared energy storage power station at time t-1;

[0222] The operating state of charge constraints are:

[0223]

[0224] Among them, SOC t SOC is the state of charge of the shared energy storage power station at time t; min , SOC max They are the lower and upper limits of the state of charge of the shared energy storage power station; SOC t-1 is the state of charge of the shared energy storage power station at time t-1; P ch,t-1 is the charging power of the shared energy storage power station at time t-1; is the rated capacity of the shared energy storage power station; η ch is the charging efficiency; Δt is the time interval; P dis,t-1 is the discharge power of the shared energy storage power station at time t-1; η dis is the discharge efficiency.

[0225] It should be noted that the aforementioned explanation of the embodiment of the centralized shared energy storage integrated optimization configuration method is also applicable to the centralized shared energy storage integrated optimization configuration device of this embodiment, and will not be repeated here.

[0226] According to the centralized shared energy storage integrated optimization configuration device proposed in the embodiment of the present application, by considering the complementary characteristics and installed capacity of the output of different types of new energy power stations and taking into account their adjustment needs, an output model of the new energy power station group is constructed, and the centralized shared energy storage optimization configuration on the power generation side is completed, thereby improving the utilization rate of energy storage resources; a centralized shared energy storage optimization configuration model for co-construction on the power generation side based on a master-slave-cooperative game is proposed, and based on the game relationship between multiple new energy power stations, a cooperatively constructed centralized shared energy storage framework is proposed, and the final configuration plan is optimized, thereby improving the flexibility and economy of new energy power stations, improving the utilization efficiency of shared energy storage, and improving the development of large-scale new energy storage.

[0227] Figure 6 A schematic diagram of the structure of an electronic device provided in an embodiment of the present application. The electronic device may include:

[0228] A memory 601 , a processor 602 , and a computer program stored in the memory 601 and executable on the processor 602 .

[0229] When the processor 602 executes the program, the centralized shared energy storage integrated optimization configuration method provided in the above embodiment is implemented.

[0230] Furthermore, the electronic device further comprises:

[0231] The communication interface 603 is used for communication between the memory 601 and the processor 602 .

[0232] The memory 601 is used to store computer programs that can be executed on the processor 602 .

[0233] The memory 601 may include a high-speed RAM (Random Access Memory) memory, and may also include a non-volatile memory, such as at least one disk memory.

[0234] If the memory 601, the processor 602 and the communication interface 603 are implemented independently, the communication interface 603, the memory 601 and the processor 602 can be connected to each other through a bus and communicate with each other. The bus can be an ISA (Industry Standard Architecture) bus, a PCI (Peripheral Component Interconnect) bus or an EISA (Extended Industry Standard Architecture) bus, etc. The bus can be divided into an address bus, a data bus, a control bus, etc. For ease of representation, Figure 6 Only one thick line is used in the diagram, but this does not mean that there is only one bus or only one type of bus.

[0235] Optionally, in a specific implementation, if the memory 601, the processor 602 and the communication interface 603 are integrated on a chip, the memory 601, the processor 602 and the communication interface 603 can communicate with each other through an internal interface.

[0236] The processor 602 may be a CPU (Central Processing Unit), or an ASIC (Application Specific Integrated Circuit), or one or more integrated circuits configured to implement the embodiments of the present application.

[0237] An embodiment of the present application also provides a computer-readable storage medium having a computer program or instruction stored thereon, which, when executed, implements the above-mentioned centralized shared energy storage integrated optimization configuration method.

[0238] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present application. In this specification, the schematic representations of the above terms are not necessarily directed to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or N embodiments or examples in a suitable manner. In addition, those skilled in the art may combine and combine the different embodiments or examples described in this specification and the features of the different embodiments or examples, without contradiction.

[0239] In addition, the terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Therefore, a feature defined as "first" or "second" may explicitly or implicitly include at least one of the features. In the description of this application, "N" means at least two, such as two, three, etc., unless otherwise clearly and specifically defined.

[0240] Any process or method description in a flowchart or otherwise described herein may be understood to represent a module, fragment or portion of code comprising one or N executable instructions for implementing the steps of a custom logical function or process, and the scope of the preferred embodiments of the present application includes alternative implementations in which functions may not be performed in the order shown or discussed, including performing functions in a substantially simultaneous manner or in reverse order depending on the functions involved, which should be understood by technicians in the technical field to which the embodiments of the present application belong.

[0241] It should be understood that the various parts of the present application can be implemented in hardware, software, firmware or a combination thereof. In the above-mentioned embodiments, the steps or methods can be implemented in software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, it can be implemented by any one of the following technologies known in the art or their combination: a discrete logic circuit having a logic gate circuit for implementing a logic function on a data signal, a dedicated integrated circuit having a suitable combination of logic gate circuits, a programmable gate array, a field programmable gate array, etc.

[0242] A person of ordinary skill in the art may understand that all or part of the steps carried by the method for implementing the above-mentioned embodiment may be completed by instructing related hardware through a program, and the above-mentioned program may be stored in a computer-readable storage medium, which, when executed, includes one of the steps of the method embodiment or a combination thereof.

[0243] Although the embodiments of the present application have been shown and described above, it can be understood that the above embodiments are exemplary and cannot be understood as limitations on the present application. Ordinary technicians in this field can change, modify, replace and modify the above embodiments within the scope of the present application.

Claims

1. A centralized shared energy storage integrated optimization configuration method, characterized in that: The following steps are involved: Obtain the rated capacity and energy storage configuration ratio of different types of new energy power stations within the new energy power station group; Calculating the actual output power of the new energy power station group according to the rated capacity of different types of new energy power stations in the new energy power station group; Determine the energy storage capacity configuration of the centralized shared energy storage power station that meets the requirements of the different types of new energy power stations in the new energy power station group according to the rated capacity of the different types of new energy power stations and the energy storage configuration ratio; The operating power constraint, operating capacity constraint and operating state of charge constraint of the centralized shared energy storage power station are obtained, and the energy storage capacity configuration of the centralized shared energy storage power station is optimized according to the actual output power, the operating power constraint, operating capacity constraint and operating state of charge constraint of the centralized shared energy storage power station.

2. The centralized shared energy storage integrated optimization configuration method according to claim 1 is characterized in that: The optimizing the energy storage capacity configuration of the centralized shared energy storage power station according to the actual output power, the operating power constraint, the operating capacity constraint and the operating state of charge constraint of the centralized shared energy storage power station comprises: Determining the benefit composition of the new energy power station group according to the actual output power; Determining the investment and construction cost of the centralized shared energy storage power station according to the energy storage capacity configuration; Inputting the benefit composition and the investment and construction cost into a master-slave-cooperative game model, the master-slave-cooperative game model outputting a master-slave-cooperative game result; Based on the master-slave-cooperation game result, the operating power constraint, the operating capacity constraint and the operating state of charge constraint of the centralized shared energy storage power station, the energy storage capacity configuration of the centralized shared energy storage power station is optimized.

3. The centralized shared energy storage integrated optimization configuration method according to claim 2 is characterized in that: The construction cost of the centralized shared energy storage power station includes the initial construction cost and the annual operation and maintenance cost, among which: The initial construction costs are: Among them, C inv is the initial construction cost of the shared energy storage power station; r is the discount rate; δ P The unit power cost of the shared energy storage power station; E The unit capacity cost of building a shared energy storage power station; is the rated power of the shared energy storage power station; is the rated capacity of the shared energy storage power station; The annual operation and maintenance costs are: Among them, C OM is the annual operation and maintenance cost of the shared energy storage power station; OM The unit power cost of operating and maintaining the shared energy storage power station; P ess,t is the coordinated operating power of the shared energy storage power station at time t.

4. The centralized shared energy storage integrated optimization configuration method according to claim 2 is characterized in that: The benefits include the revenue from the sale of electricity to the grid of the new energy power station, the coordinated operation cost of shared energy storage, the penalty cost for power abandonment and the penalty cost for deviation, among which: The revenue from selling electricity on the grid is: Among them, I n The revenue from the sale of electricity to the grid of the new energy power station group; n is the on-grid electricity price of the new energy power station group; P n,t is the actual grid-connected power of the new energy power station group at time t; The coordinated operation cost of the shared energy storage is: Among them, C ess The coordinated operation cost of shared energy storage for new energy power stations; ess P is the unit power cost of the shared energy storage power station participating in the output coordination of the new energy power station; ess,t is the coordinated operating power of the shared energy storage power station at time t; The penalty cost for power abandonment is: Among them, C pur is the penalty cost of power abandonment of new energy power stations; pur The unit cost of penalty for abandoning electricity from new energy; P pur,t Penalize power for abandoning electricity from new energy sources; The deviation penalty cost is: Among them, C dev is the deviation penalty cost of the new energy power station; δ dev P is the deviation penalty unit cost of the new energy power station; dev,t is the deviation power of the new energy power station.

5. The centralized shared energy storage integrated optimization configuration method according to claim 2, wherein the master-slave-cooperation game model include: Among them, the objective function of minimizing the investment and construction cost of the first-stage shared energy storage power station; my F1=C inv +C om Among them, the objective function of maximizing the annual benefit of the second-stage new energy power station group is: max F2=I n -C ess -C pur -C dev Among them, C inv is the initial investment and construction cost of the shared energy storage power station; C om is the annual operation and maintenance cost of the shared energy storage power station; I n The income from the access to the grid of the new energy power station group; C ess The coordination cost of using shared energy storage for renewable energy power stations; C pur C is the penalty cost for power abandonment of new energy power stations; dev is the deviation penalty cost of the new energy power station; min F1 is the objective function for minimizing the investment and construction cost of the shared energy storage power station; max F2 is the objective function for maximizing the annual benefit of the new energy power station group.

6. The centralized shared energy storage integrated optimization configuration method according to any one of claims 1 to 5, characterized in that: The operating power constraint is: P ch,t ·P dis,t =0 Among them, P ch,t is the charging power of the shared energy storage power station at time t; P ch,max is the maximum charging power of the shared energy storage power station; P dis,t is the discharge power of the shared energy storage power station at time t; P dis,max is the maximum discharge power of the shared energy storage power station; P ess,t is the coordinated operating power of the shared energy storage power station at time t; The operating capacity constraint is: AND ess,0 =And ess,T Among them, E ess,t is the energy storage capacity of the shared energy storage power station at time t; η ch is the charging efficiency; η dis is the discharge efficiency; E ess,0 E is the energy storage capacity of the shared energy storage power station at time 0; ess,t-1 is the energy storage capacity of the shared energy storage power station at time t-1; ch,t-1 is the charging power of the shared energy storage power station at time t-1; P dis,t-1 is the discharge power of the shared energy storage power station at time t-1; The operating state of charge constraint is: SOC min ≤SOC t ≤SOC max Among them, SOC t SOC is the state of charge of the shared energy storage power station at time t; min , SOC max They are the lower and upper limits of the state of charge of the shared energy storage power station; SOC t-1 is the state of charge of the shared energy storage power station at time t-1; P ch,t-1 is the charging power of the shared energy storage power station at time t-1; is the rated capacity of the shared energy storage power station; η ch is the charging efficiency; Δt is the time interval; P dis,t-1 is the discharge power of the shared energy storage power station at time t-1; η dis is the discharge efficiency.

7. The centralized shared energy storage integrated optimization configuration method according to claim 1, characterized in that: The new energy power station includes a photovoltaic power station and a wind power station, and the actual output power of the new energy power station group is calculated according to the rated capacity of different types of new energy power stations in the new energy power station group, including: Get the random distribution of wind speed and light distribution; Calculating the actual output power of the wind power station according to the rated capacity of the wind power station and the random distribution of wind speed; Calculating the actual output power of the photovoltaic power station according to the rated capacity of the photovoltaic power station and the light distribution; The actual output power of the new energy power station group is calculated according to the actual output power of the wind power station and the actual output power of the photovoltaic power station.

8. A centralized shared energy storage integrated optimization configuration device, characterized in that: include: An acquisition module is used to obtain the rated capacity and energy storage configuration ratio of different types of new energy power stations in the new energy power station group; A calculation module, used for calculating the actual output power of the new energy power station group according to the rated capacity of different types of new energy power stations in the new energy power station group; A determination module, used to determine the energy storage capacity configuration of the centralized shared energy storage power station that meets the different types of new energy power stations in the new energy power station group according to the rated capacity of the different types of new energy power stations and the energy storage configuration ratio; The optimization module is used to obtain the operating power constraints, operating capacity constraints and operating state of charge constraints of the centralized shared energy storage power station, and optimize the energy storage capacity configuration of the centralized shared energy storage power station according to the actual output power, the operating power constraints, operating capacity constraints and operating state of charge constraints of the centralized shared energy storage power station.

9. An electronic device, characterized in that: include: A memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the centralized shared energy storage integrated optimization configuration method as described in any one of claims 1 to 7.

10. A computer-readable storage medium having a computer program or instruction stored thereon, characterized in that: When the computer program or instruction is executed, it implements the centralized shared energy storage integrated optimization configuration method as described in any one of claims 1-7.

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