A method and device for optimizing the capacity of chemical energy storage on the grid side

Abstract

The present invention relates to the technical field of new energy production simulation, and specifically provides a grid-side chemical energy storage capacity optimization method and device, aiming to solve the technical problem of grid-side chemical energy storage capacity planning, specifically comprising: obtaining basic grid operation constraint parameters; based on the basic grid operation constraint parameters, optimizing the installed capacity and storage capacity of the grid-side chemical energy storage with the goal of maximizing the difference between the new energy power generation and the chemical energy storage charge and discharge loss, and obtaining the optimal installed capacity and optimal storage capacity of the grid-side chemical energy storage; the technical solution provided by the present invention fully considers the random volatility of new energy power generation and the coordinated matching ability of source-grid-load-storage in the process of grid-side energy storage planning, maximizes the new energy consumption effect, and can provide technical support for calculating the optimal configuration capacity of the grid-side chemical energy storage of the new energy power system.

Description

Technical Field

[0001] The present invention relates to the technical field of new energy production simulation, and in particular to a method and device for optimizing chemical energy storage capacity on a power grid side. Background Art

[0002] With the continuous increase in the installed capacity of wind power and photovoltaic power generation, the installed capacity of new energy power generation in some regions has exceeded 30%, and the characteristics of the new energy power system are gradually emerging. Since new energy power generation has strong random volatility and poor anti-disturbance, large-scale new energy grid connection has brought great pressure on the dispatching and operation of the power system. Affected by factors such as insufficient peak-shaving capacity of the power grid and limited transmission sections, the new energy abandonment rate in some regions is still high and the new energy consumption situation is still severe.

[0003] Electrochemical energy storage is an effective technical approach to smooth out the random volatility of renewable energy output and improve the utilization rate of renewable energy. In terms of configuration, chemical energy storage mainly includes three types: power supply side, grid side and user side. Among them, grid-side energy storage can provide peak-shaving services for the entire network power supply. It has the characteristics of high concentration and large energy storage capacity, and can more effectively smooth out the random volatility of renewable energy in the entire network. Driven by the reform of the electricity market, many regions have successively built auxiliary service peak-shaving markets, providing a good environment for the large-scale configuration of grid-side chemical energy storage.

[0004] Due to the complex operating characteristics of the power grid, reasonable planning of the optimal configuration capacity of chemical energy storage on the grid side is of great significance to improving the utilization rate of new energy in the entire network.

[0005] Existing research on chemical energy storage capacity optimization planning is mainly focused on chemical energy storage on the power supply side or the user side, and has the following deficiencies: First, it takes typical output scenarios of new energy as input. Due to the limited number of scenarios, it is difficult to accurately characterize the smoothing effect of energy storage on the random volatility of new energy output, which affects the accuracy of the energy storage capacity planning results; Second, it takes smoothing the output of a certain new energy station as the goal, but does not consider the power consumption and load balancing effect of the entire network, making it difficult to achieve the goal of promoting the consumption of new energy in the entire network. Summary of the invention

[0006] In order to overcome the above-mentioned defects, the present invention is proposed to provide a grid-side chemical energy storage capacity optimization method and device that solves or at least partially solves the technical problem that the energy storage capacity planning results are inaccurate and cannot achieve the goal of new energy consumption in the entire network.

[0007] The purpose of the present invention is achieved by adopting the following technical solutions:

[0008] In a first aspect, a method for optimizing the capacity of chemical energy storage on the grid side is provided, wherein the method comprises:

[0009] Obtain basic operation constraint parameters of the power grid;

[0010] Based on the basic operating constraint parameters of the power grid, the installed capacity and storage capacity of chemical energy storage on the grid side are optimized with the goal of maximizing the difference between the power generation of renewable energy and the charging and discharging loss of chemical energy storage, and the optimal installed capacity and optimal storage capacity of chemical energy storage on the grid side are obtained.

[0011] Preferably, the basic operating constraint parameters of the power grid include: theoretical maximum output of wind power in the power grid, theoretical maximum output of photovoltaic power generation in the power grid, power load of the power grid, maximum and minimum output of conventional units, positive and negative standby requirements of the power grid, minimum utilization rate of new energy, self-discharge rate of chemical energy storage, charging efficiency and discharge efficiency of chemical energy storage.

[0012] Preferably, the installed capacity and storage capacity of the chemical energy storage on the grid side are optimized based on the basic operation constraint parameters of the grid, with the goal of maximizing the difference between the power generation of new energy and the charge and discharge loss of chemical energy storage, to obtain the optimal installed capacity and optimal storage capacity of the chemical energy storage on the grid side, including:

[0013] Substituting the basic operation constraint parameters of the power grid into a pre-established power grid-side chemical energy storage capacity optimization model, solving the pre-established power grid-side chemical energy storage capacity optimization model to obtain the optimal installed capacity and optimal storage capacity of the power grid-side chemical energy storage;

[0014] Among them, the pre-established grid-side chemical energy storage capacity optimization model is established with the goal of maximizing the difference between new energy power generation and chemical energy storage charging and discharging losses.

[0015] Furthermore, the objective function in the pre-established grid-side chemical energy storage capacity optimization model is determined as follows:

[0016]

[0017] In the above formula, t is the time period number, T is the total number of time periods, and Δt is the length of the unit time period. is the wind power output of the power grid during period t, is the photovoltaic power generation output of the grid during period t, is the grid-side chemical energy storage charging power during period t, is the chemical energy storage discharge power on the grid side during period t.

[0018] Furthermore, the system power balance constraint in the pre-established grid-side chemical energy storage capacity optimization model is determined as follows:

[0019]

[0020] The system reserve demand constraint in the pre-established grid-side chemical energy storage capacity optimization model is determined as follows:

[0021]

[0022] The new energy output constraint in the pre-established grid-side chemical energy storage capacity optimization model is determined as follows:

[0023]

[0024] The new energy utilization rate constraint in the pre-established grid-side chemical energy storage capacity optimization model is determined as follows:

[0025]

[0026] The chemical energy storage charging and discharging power constraints in the pre-established grid-side chemical energy storage capacity optimization model are determined as follows:

[0027]

[0028] The chemical energy storage charge and discharge state constraints in the pre-established grid-side chemical energy storage capacity optimization model are determined as follows:

[0029]

[0030] The chemical energy storage charge state constraint in the pre-established grid-side chemical energy storage capacity optimization model is determined as follows:

[0031]

[0032] The chemical energy storage capacity constraint in the pre-established grid-side chemical energy storage capacity optimization model is determined as follows:

[0033]

[0034] In the above formula, t is the time period number, T is the total number of time periods, and Δt is the length of the unit time period. is the wind power output of the power grid during period t, is the photovoltaic power generation output of the grid during period t, is the grid-side chemical energy storage charging power during period t, is the chemical energy storage discharge power on the grid side during period t, g is the conventional unit number, and G is the total number of conventional units; is the output of conventional unit g during period t, is the power load of the power grid in period t, and are the maximum and minimum outputs of conventional unit g during period t, C B is the installed capacity of chemical energy storage on the grid side, and are the positive reserve and negative reserve requirements of the power grid in period t, and are the theoretical maximum outputs of wind power and photovoltaic power generation in the power grid during period t, γ is the minimum utilization rate of new energy in the power grid, is the discharge state of the chemical energy storage on the grid side, and its value is 0 or 1. When the chemical energy storage is in the discharge state during the t period, When the chemical energy storage is not in the discharge state during period t, is the charging state of the chemical energy storage on the grid side, and its value is 0 or 1. When the chemical energy storage is in the charging state during the period t, When the chemical energy storage is not in the charging state during period t, and are the storage capacity of chemical energy storage in period t and period t-1 respectively, B is the self-discharge rate of chemical energy storage; η ch and η dc are the charging efficiency and discharging efficiency of chemical energy storage, is the maximum storage capacity of chemical energy storage.

[0035] Furthermore, solving the pre-established grid-side chemical energy storage capacity optimization model to obtain the optimal installed capacity and optimal storage capacity of the grid-side chemical energy storage includes:

[0036] The Cplex software is used to solve the pre-established grid-side chemical energy storage capacity optimization model to obtain the optimal installed capacity and optimal storage capacity of the grid-side chemical energy storage.

[0037] In a second aspect, a grid-side chemical energy storage capacity optimization device is also provided, wherein the device comprises:

[0038] An acquisition module is used to obtain basic operation constraint parameters of the power grid;

[0039] The calculation module is used to optimize the installed capacity and storage capacity of chemical energy storage on the grid side based on the basic operation constraint parameters of the grid, with the goal of maximizing the difference between the power generation of new energy and the charging and discharging loss of chemical energy storage, so as to obtain the optimal installed capacity and optimal storage capacity of chemical energy storage on the grid side.

[0040] Preferably, the basic operating constraint parameters of the power grid include: theoretical maximum output of wind power in the power grid, theoretical maximum output of photovoltaic power generation in the power grid, power load of the power grid, maximum and minimum output of conventional units, positive and negative standby requirements of the power grid, minimum utilization rate of new energy, self-discharge rate of chemical energy storage, charging efficiency and discharge efficiency of chemical energy storage.

[0041] Preferably, the calculation module is specifically used for:

[0042] Substituting the basic operation constraint parameters of the power grid into a pre-established power grid-side chemical energy storage capacity optimization model, solving the pre-established power grid-side chemical energy storage capacity optimization model to obtain the optimal installed capacity and optimal storage capacity of the power grid-side chemical energy storage;

[0043] Among them, the pre-established grid-side chemical energy storage capacity optimization model is established with the goal of maximizing the difference between new energy power generation and chemical energy storage charging and discharging losses.

[0044] Furthermore, the objective function in the pre-established grid-side chemical energy storage capacity optimization model is determined as follows:

[0045]

[0046] In the above formula, t is the time period number, T is the total number of time periods, and Δt is the length of the unit time period. is the wind power output of the power grid during period t, is the photovoltaic power generation output of the grid during period t, is the grid-side chemical energy storage charging power during period t, is the chemical energy storage discharge power on the grid side during period t.

[0047] Furthermore, the system power balance constraint in the pre-established grid-side chemical energy storage capacity optimization model is determined as follows:

[0048]

[0049] The system reserve demand constraint in the pre-established grid-side chemical energy storage capacity optimization model is determined as follows:

[0050]

[0051] The new energy output constraint in the pre-established grid-side chemical energy storage capacity optimization model is determined as follows:

[0052]

[0053] The new energy utilization rate constraint in the pre-established grid-side chemical energy storage capacity optimization model is determined as follows:

[0054]

[0055] The chemical energy storage charging and discharging power constraints in the pre-established grid-side chemical energy storage capacity optimization model are determined as follows:

[0056]

[0057] The chemical energy storage charge and discharge state constraints in the pre-established grid-side chemical energy storage capacity optimization model are determined as follows:

[0058]

[0059] The chemical energy storage charge state constraint in the pre-established grid-side chemical energy storage capacity optimization model is determined as follows:

[0060]

[0061] The chemical energy storage capacity constraint in the pre-established grid-side chemical energy storage capacity optimization model is determined as follows:

[0062]

[0063] In the above formula, t is the time period number, T is the total number of time periods, and Δt is the length of the unit time period. is the wind power output of the power grid during period t, is the photovoltaic power generation output of the grid during period t, is the grid-side chemical energy storage charging power during period t, is the chemical energy storage discharge power on the grid side during period t, g is the conventional unit number, and G is the total number of conventional units; is the output of conventional unit g during period t, is the power load of the power grid in period t, and are the maximum and minimum outputs of conventional unit g during period t, C B is the installed capacity of chemical energy storage on the grid side, and are the positive reserve and negative reserve requirements of the power grid in period t, and are the theoretical maximum outputs of wind power and photovoltaic power generation in the power grid during period t, γ is the minimum utilization rate of new energy in the power grid, is the discharge state of the chemical energy storage on the grid side, and its value is 0 or 1. When the chemical energy storage is in the discharge state during the t period, When the chemical energy storage is not in the discharge state during period t, is the charging state of the chemical energy storage on the grid side, and its value is 0 or 1. When the chemical energy storage is in the charging state during the period t, When the chemical energy storage is not in the charging state during period t, and are the storage capacity of chemical energy storage in period t and period t-1 respectively, B is the self-discharge rate of chemical energy storage; η ch and η dc are the charging efficiency and discharging efficiency of chemical energy storage, is the maximum storage capacity of chemical energy storage.

[0064] Furthermore, solving the pre-established grid-side chemical energy storage capacity optimization model to obtain the optimal installed capacity and optimal storage capacity of the grid-side chemical energy storage includes:

[0065] The Cplex software is used to solve the pre-established grid-side chemical energy storage capacity optimization model to obtain the optimal installed capacity and optimal storage capacity of the grid-side chemical energy storage.

[0066] The above one or more technical solutions of the present invention have at least one or more of the following beneficial effects:

[0067] In the technical solution of the present invention, by obtaining the basic operation constraint parameters of the power grid, and based on the basic operation constraint parameters of the power grid, the installed capacity and storage capacity of the chemical energy storage on the power grid side are optimized with the goal of maximizing the difference between the power generation of new energy and the charge and discharge loss of chemical energy storage, so as to obtain the optimal installed capacity and optimal storage capacity of the chemical energy storage on the power grid side; the technical solution provided by the present invention, in the process of power grid side energy storage planning, takes the basic operation constraint parameters of the power grid as the basis, fully considers the random volatility of new energy power generation, the coordination and matching ability of source-grid-load-storage, overcomes the problem of insufficient number of typical scenarios of new energy output, and affects the accuracy of planning results, and maximizes the new energy consumption effect. The power grid side energy storage is planned with the goal of maximizing the difference between the power generation of new energy and the charge and discharge loss of chemical energy storage, while ensuring the maximum consumption of new energy, it avoids excessive consumption of new energy by chemical energy storage through frequent charging and discharging, and thus provides technical support for calculating the optimal configuration capacity of chemical energy storage on the power grid side of the new energy power system. BRIEF DESCRIPTION OF THE DRAWINGS

[0068] Figure 1 It is a schematic flow chart of the main steps of a method for optimizing the capacity of chemical energy storage on the grid side according to an embodiment of the present invention;

[0069] Figure 2 It is a main structural block diagram of a grid-side chemical energy storage capacity optimization device according to an embodiment of the present invention. DETAILED DESCRIPTION

[0070] The specific implementation modes of the present invention will be further described in detail below in conjunction with the accompanying drawings.

[0071] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0072] Existing research on chemical energy storage capacity optimization planning is mainly focused on chemical energy storage on the power supply side or the user side, and has the following deficiencies: First, it takes typical output scenarios of new energy as input. Due to the limited number of scenarios, it is difficult to accurately characterize the smoothing effect of energy storage on the random volatility of new energy output, which affects the accuracy of the energy storage capacity planning results; Second, it takes smoothing the output of a certain new energy station as the goal, but does not consider the power consumption and load balancing effect of the entire network, making it difficult to achieve the goal of promoting the consumption of new energy in the entire network.

[0073] In order to solve the above problems, the present invention provides a method for optimizing the capacity of chemical energy storage on the grid side. Figure 1 , Figure 1 1 is a schematic flow chart of the main steps of a method for optimizing the capacity of chemical energy storage on the grid side according to an embodiment of the present invention. Figure 1 As shown, the grid-side chemical energy storage capacity optimization method in the embodiment of the present invention mainly includes the following steps:

[0074] Step 101: obtaining basic operation constraint parameters of the power grid;

[0075] In this embodiment, the basic operation constraint parameters of the power grid include: the theoretical maximum output of wind power in the power grid, the theoretical maximum output of photovoltaic power generation in the power grid, the power load of the power grid, the maximum and minimum output of conventional units, the positive and negative standby requirements of the power grid, the minimum utilization rate of new energy, the self-discharge rate of chemical energy storage, and the charging efficiency and discharge efficiency of chemical energy storage.

[0076] In one implementation, the theoretical maximum output of wind power in the power grid may be the theoretical maximum output sequence of wind power in the power grid for 8760 hours throughout the year, and the theoretical maximum output of photovoltaic power generation in the power grid may be the theoretical maximum output sequence of photovoltaic power generation in the power grid for 8760 hours throughout the year.

[0077] Step 102 optimizes the installed capacity and storage capacity of chemical energy storage on the grid side based on the basic operation constraint parameters of the grid and takes the maximum difference between the power generation of new energy and the charging and discharging loss of chemical energy storage as the goal, so as to obtain the optimal installed capacity and optimal storage capacity of chemical energy storage on the grid side.

[0078] In this embodiment, the basic operation constraint parameters of the power grid can be substituted into a pre-established power grid-side chemical energy storage capacity optimization model, and the pre-established power grid-side chemical energy storage capacity optimization model can be solved to obtain the optimal installed capacity and optimal storage capacity of the power grid-side chemical energy storage;

[0079] Among them, the pre-established grid-side chemical energy storage capacity optimization model is established with the goal of maximizing the difference between new energy power generation and chemical energy storage charging and discharging losses.

[0080] In one implementation, the objective function in the pre-established grid-side chemical energy storage capacity optimization model may be determined as follows:

[0081]

[0082] In the above formula, t is the time period number, T is the total number of time periods, and Δt is the length of the unit time period. is the wind power output of the power grid during period t, is the photovoltaic power generation output of the grid during period t, is the grid-side chemical energy storage charging power during period t, is the chemical energy storage discharge power on the grid side during period t.

[0083] Since the charging and discharging of chemical energy storage involves losses, by subtracting the charging and discharging losses of chemical energy storage from the objective function, it is possible to avoid excessive consumption of new energy through frequent charging and discharging operations of chemical energy storage.

[0084] In one implementation, the system power balance constraint in the pre-established grid-side chemical energy storage capacity optimization model may be determined as follows:

[0085]

[0086] The system reserve demand constraint in the pre-established grid-side chemical energy storage capacity optimization model is determined as follows:

[0087]

[0088] The new energy output constraint in the pre-established grid-side chemical energy storage capacity optimization model is determined as follows:

[0089]

[0090] The new energy utilization rate constraint in the pre-established grid-side chemical energy storage capacity optimization model is determined as follows:

[0091]

[0092] The chemical energy storage charging and discharging power constraints in the pre-established grid-side chemical energy storage capacity optimization model are determined as follows:

[0093]

[0094] The chemical energy storage charge and discharge state constraints in the pre-established grid-side chemical energy storage capacity optimization model are determined as follows:

[0095]

[0096] This constraint states that chemical energy storage cannot be in both charging and discharging states at the same time.

[0097] The chemical energy storage charge state constraint in the pre-established grid-side chemical energy storage capacity optimization model is determined as follows:

[0098]

[0099] The chemical energy storage capacity constraint in the pre-established grid-side chemical energy storage capacity optimization model is determined as follows:

[0100]

[0101] In the above formula, t is the time period number, T is the total number of time periods, and Δt is the length of the unit time period. is the wind power output of the power grid during period t, is the photovoltaic power generation output of the grid during period t, is the grid-side chemical energy storage charging power during period t, is the chemical energy storage discharge power on the grid side during period t, g is the conventional unit number, and G is the total number of conventional units; is the output of conventional unit g during period t, is the power load of the power grid in period t, and are the maximum and minimum outputs of conventional unit g during period t, C B is the installed capacity of chemical energy storage on the grid side, and are the positive reserve and negative reserve requirements of the power grid in period t, and are the theoretical maximum outputs of wind power and photovoltaic power generation in the power grid during period t, γ is the minimum utilization rate of new energy in the power grid, is the discharge state of the chemical energy storage on the grid side, and its value is 0 or 1. When the chemical energy storage is in the discharge state during the t period, When the chemical energy storage is not in the discharge state during period t, is the charging state of the chemical energy storage on the grid side, and its value is 0 or 1. When the chemical energy storage is in the charging state during the period t, When the chemical energy storage is not in the charging state during period t, and are the storage capacity of chemical energy storage in period t and period t-1 respectively, B is the self-discharge rate of chemical energy storage; η ch and η dc are the charging efficiency and discharging efficiency of chemical energy storage, is the maximum storage capacity of chemical energy storage.

[0102] In addition to the above constraints, the grid-side chemical energy storage capacity optimization model also includes the operation constraints of conventional units, which will not be described in detail here.

[0103] In one implementation, Cplex software may be used to solve the pre-established grid-side chemical energy storage capacity optimization model to obtain the optimal installed capacity and optimal storage capacity of the grid-side chemical energy storage.

[0104] Based on the same inventive concept, the present invention also provides a grid-side chemical energy storage capacity optimization device, such as Figure 2 As shown, the device comprises:

[0105] An acquisition module is used to obtain basic operation constraint parameters of the power grid;

[0106] The calculation module is used to optimize the installed capacity and storage capacity of chemical energy storage on the grid side based on the basic operation constraint parameters of the grid, with the goal of maximizing the difference between the power generation of new energy and the charging and discharging loss of chemical energy storage, so as to obtain the optimal installed capacity and optimal storage capacity of chemical energy storage on the grid side.

[0107] The basic operation constraint parameters of the power grid include: the theoretical maximum output of wind power in the power grid, the theoretical maximum output of photovoltaic power generation in the power grid, the power load of the power grid, the maximum and minimum output of conventional units, the positive and negative standby requirements of the power grid, the minimum utilization rate of new energy, the self-discharge rate of chemical energy storage, and the charging efficiency and discharge efficiency of chemical energy storage.

[0108] The calculation module is specifically used for:

[0109] Substituting the basic operation constraint parameters of the power grid into a pre-established power grid-side chemical energy storage capacity optimization model, solving the pre-established power grid-side chemical energy storage capacity optimization model to obtain the optimal installed capacity and optimal storage capacity of the power grid-side chemical energy storage;

[0110] Among them, the pre-established grid-side chemical energy storage capacity optimization model is established with the goal of maximizing the difference between new energy power generation and chemical energy storage charging and discharging losses.

[0111] The objective function in the pre-established grid-side chemical energy storage capacity optimization model is determined as follows:

[0112]

[0113] In the above formula, t is the time period number, T is the total number of time periods, and Δt is the length of the unit time period. is the wind power output of the power grid during period t, is the photovoltaic power generation output of the grid during period t, is the grid-side chemical energy storage charging power during period t, is the chemical energy storage discharge power on the grid side during period t.

[0114] The system power balance constraint in the pre-established grid-side chemical energy storage capacity optimization model is determined as follows:

[0115]

[0116] The system reserve demand constraint in the pre-established grid-side chemical energy storage capacity optimization model is determined as follows:

[0117]

[0118] The new energy output constraint in the pre-established grid-side chemical energy storage capacity optimization model is determined as follows:

[0119]

[0120] The new energy utilization rate constraint in the pre-established grid-side chemical energy storage capacity optimization model is determined as follows:

[0121]

[0122] The chemical energy storage charging and discharging power constraints in the pre-established grid-side chemical energy storage capacity optimization model are determined as follows:

[0123]

[0124] The chemical energy storage charge and discharge state constraints in the pre-established grid-side chemical energy storage capacity optimization model are determined as follows:

[0125]

[0126] The chemical energy storage charge state constraint in the pre-established grid-side chemical energy storage capacity optimization model is determined as follows:

[0127]

[0128] The chemical energy storage capacity constraint in the pre-established grid-side chemical energy storage capacity optimization model is determined as follows:

[0129]

[0130] In the above formula, t is the time period number, T is the total number of time periods, and Δt is the length of the unit time period. is the wind power output of the power grid during period t, is the photovoltaic power generation output of the grid during period t, is the grid-side chemical energy storage charging power during period t, is the chemical energy storage discharge power on the grid side during period t, g is the conventional unit number, and G is the total number of conventional units; is the output of conventional unit g during period t, is the power load of the power grid in period t, and are the maximum and minimum outputs of conventional unit g during period t, C B is the installed capacity of chemical energy storage on the grid side, and are the positive reserve and negative reserve requirements of the power grid in period t, and are the theoretical maximum outputs of wind power and photovoltaic power generation in the power grid during period t, γ is the minimum utilization rate of new energy in the power grid, is the discharge state of chemical energy storage on the grid side, and its value is 0 or 1. When the chemical energy storage is in the discharge state during the t period, When the chemical energy storage is not in the discharge state during period t, is the charging state of the chemical energy storage on the grid side, and its value is 0 or 1. When the chemical energy storage is in the charging state during the period t, When the chemical energy storage is not in the charging state during period t, and are the storage capacity of chemical energy storage in period t and period t-1 respectively, γ B is the self-discharge rate of chemical energy storage; η ch and η dc are the charging efficiency and discharging efficiency of chemical energy storage, is the maximum storage capacity of chemical energy storage.

[0131] Furthermore, solving the pre-established grid-side chemical energy storage capacity optimization model to obtain the optimal installed capacity and optimal storage capacity of the grid-side chemical energy storage includes:

[0132] The Cplex software is used to solve the pre-established grid-side chemical energy storage capacity optimization model to obtain the optimal installed capacity and optimal storage capacity of the grid-side chemical energy storage.

[0133] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems, or computer program products. Therefore, the present application may adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment in combination with software and hardware. Moreover, the present application may adopt the form of a computer program product implemented in one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) that include computer-usable program code.

[0134] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0135] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0136] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0137] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the above embodiments, ordinary technicians in the relevant field should understand that the specific implementation methods of the present invention can still be modified or replaced by equivalents. Any modification or equivalent replacement that does not depart from the spirit and scope of the present invention should be covered within the scope of protection of the claims of the present invention.

Claims

1. A method for optimizing the capacity of chemical energy storage on the grid side, characterized in that: The method comprises: Obtain basic operation constraint parameters of the power grid; Based on the basic operation constraint parameters of the power grid, the installed capacity and storage capacity of chemical energy storage on the grid side are optimized with the goal of maximizing the difference between the power generation of new energy and the charging and discharging loss of chemical energy storage, and the optimal installed capacity and storage capacity of chemical energy storage on the grid side are obtained. The basic operation constraint parameters of the power grid include: the theoretical maximum output of wind power in the power grid, the theoretical maximum output of photovoltaic power generation in the power grid, the power load of the power grid, the maximum and minimum output of conventional units, the positive and negative standby requirements of the power grid, the minimum utilization rate of new energy, the self-discharge rate of chemical energy storage, and the charging efficiency and discharge efficiency of chemical energy storage; Based on the basic operation constraint parameters of the power grid, the installed capacity and storage capacity of the chemical energy storage on the power grid side are optimized with the goal of maximizing the difference between the power generation of new energy and the charge and discharge loss of chemical energy storage, and the optimal installed capacity and storage capacity of the chemical energy storage on the power grid side are obtained, including: Substituting the basic operation constraint parameters of the power grid into a pre-established power grid-side chemical energy storage capacity optimization model, solving the pre-established power grid-side chemical energy storage capacity optimization model to obtain the optimal installed capacity and optimal storage capacity of the power grid-side chemical energy storage; The pre-established grid-side chemical energy storage capacity optimization model is established with the goal of maximizing the difference between the power generation of new energy and the charge and discharge loss of chemical energy storage; The objective function in the pre-established grid-side chemical energy storage capacity optimization model is determined as follows: In the above formula, t is the time period number, T is the total number of time periods, △t is the length of the unit time period, is the wind power output of the power grid during period t, is the photovoltaic power generation output of the grid during period t, is the grid-side chemical energy storage charging power during period t, is the chemical energy storage discharge power on the grid side during period t; The system power balance constraint in the pre-established grid-side chemical energy storage capacity optimization model is determined as follows: The system reserve demand constraint in the pre-established grid-side chemical energy storage capacity optimization model is determined as follows: The new energy output constraint in the pre-established grid-side chemical energy storage capacity optimization model is determined as follows: The new energy utilization rate constraint in the pre-established grid-side chemical energy storage capacity optimization model is determined as follows: The chemical energy storage charging and discharging power constraints in the pre-established grid-side chemical energy storage capacity optimization model are determined as follows: The chemical energy storage charge and discharge state constraints in the pre-established grid-side chemical energy storage capacity optimization model are determined as follows: The chemical energy storage charge state constraint in the pre-established grid-side chemical energy storage capacity optimization model is determined as follows: The chemical energy storage capacity constraint in the pre-established grid-side chemical energy storage capacity optimization model is determined as follows: In the above formula, t is the time period number, T is the total number of time periods, △t is the length of the unit time period, is the wind power output of the power grid during period t, is the photovoltaic power generation output of the grid during period t, is the grid-side chemical energy storage charging power during period t, is the chemical energy storage discharge power on the grid side during period t, g is the conventional unit number, and G is the total number of conventional units; is the output of conventional unit g during period t, is the power load of the power grid in period t, and are the maximum and minimum outputs of conventional unit g during period t, CB is the installed capacity of chemical energy storage on the grid side, and are the positive reserve and negative reserve requirements of the power grid in period t, and are the theoretical maximum outputs of wind power and photovoltaic power generation in the power grid during period t, γ is the minimum utilization rate of new energy in the power grid, is the discharge state of the chemical energy storage on the grid side, and its value is 0 or 1. When the chemical energy storage is in the discharge state during the t period, When the chemical energy storage is not in the discharge state during period t, is the charging state of the chemical energy storage on the grid side, and its value is 0 or 1. When the chemical energy storage is in the charging state during the period t, When the chemical energy storage is not in the charging state during period t, and are the storage capacity of chemical energy storage in period t and period t-1 respectively, B is the self-discharge rate of chemical energy storage; η ch and η dc are the charging efficiency and discharging efficiency of chemical energy storage, is the maximum storage capacity of chemical energy storage.

2. The method according to claim 1, characterized in that The solving of the pre-established grid-side chemical energy storage capacity optimization model to obtain the optimal installed capacity and optimal storage capacity of the grid-side chemical energy storage includes: The Cplex software is used to solve the pre-established grid-side chemical energy storage capacity optimization model to obtain the optimal installed capacity and optimal storage capacity of the grid-side chemical energy storage.

3. A grid-side chemical energy storage capacity optimization device, characterized in that: The device comprises: An acquisition module is used to obtain basic operation constraint parameters of the power grid; The calculation module is used to optimize the installed capacity and storage capacity of the chemical energy storage on the grid side based on the basic operation constraint parameters of the grid and with the goal of maximizing the difference between the power generation of new energy and the charging and discharging loss of chemical energy storage, so as to obtain the optimal installed capacity and optimal storage capacity of the chemical energy storage on the grid side; The basic operation constraint parameters of the power grid include: the theoretical maximum output of wind power in the power grid, the theoretical maximum output of photovoltaic power generation in the power grid, the power load of the power grid, the maximum and minimum output of conventional units, the positive and negative standby requirements of the power grid, the minimum utilization rate of new energy, the self-discharge rate of chemical energy storage, and the charging efficiency and discharge efficiency of chemical energy storage; The calculation module is specifically used for: Substituting the basic operation constraint parameters of the power grid into a pre-established power grid-side chemical energy storage capacity optimization model, solving the pre-established power grid-side chemical energy storage capacity optimization model to obtain the optimal installed capacity and optimal storage capacity of the power grid-side chemical energy storage; The pre-established grid-side chemical energy storage capacity optimization model is established with the goal of maximizing the difference between the power generation of new energy and the charge and discharge loss of chemical energy storage; The objective function in the pre-established grid-side chemical energy storage capacity optimization model is determined as follows: In the above formula, t is the time period number, T is the total number of time periods, △t is the length of the unit time period, is the wind power output of the power grid during period t, is the photovoltaic power generation output of the grid during period t, is the grid-side chemical energy storage charging power during period t, is the chemical energy storage discharge power on the grid side during period t; The system power balance constraint in the pre-established grid-side chemical energy storage capacity optimization model is determined as follows: The system reserve demand constraint in the pre-established grid-side chemical energy storage capacity optimization model is determined as follows: The new energy output constraint in the pre-established grid-side chemical energy storage capacity optimization model is determined as follows: The new energy utilization rate constraint in the pre-established grid-side chemical energy storage capacity optimization model is determined as follows: The chemical energy storage charging and discharging power constraints in the pre-established grid-side chemical energy storage capacity optimization model are determined as follows: The chemical energy storage charge and discharge state constraints in the pre-established grid-side chemical energy storage capacity optimization model are determined as follows: The chemical energy storage charge state constraint in the pre-established grid-side chemical energy storage capacity optimization model is determined as follows: The chemical energy storage capacity constraint in the pre-established grid-side chemical energy storage capacity optimization model is determined as follows: In the above formula, t is the time period number, T is the total number of time periods, △t is the length of the unit time period, is the wind power output of the power grid during period t, is the photovoltaic power generation output of the grid during period t, is the grid-side chemical energy storage charging power during period t, is the chemical energy storage discharge power on the grid side during period t, g is the conventional unit number, and G is the total number of conventional units; is the output of conventional unit g during period t, is the power load of the power grid in period t, and are the maximum and minimum outputs of conventional unit g during period t, C B is the installed capacity of chemical energy storage on the grid side, and are the positive reserve and negative reserve requirements of the power grid in period t, and are the theoretical maximum outputs of wind power and photovoltaic power generation in the power grid during period t, γ is the minimum utilization rate of new energy in the power grid, is the discharge state of the chemical energy storage on the grid side, and its value is 0 or 1. When the chemical energy storage is in the discharge state during the t period, When the chemical energy storage is not in the discharge state during period t, is the charging state of the chemical energy storage on the grid side, and its value is 0 or 1. When the chemical energy storage is in the charging state during the period t, When the chemical energy storage is not in the charging state during period t, and are the storage capacity of chemical energy storage in period t and period t-1 respectively, B is the self-discharge rate of chemical energy storage; η ch and η dc are the charging efficiency and discharging efficiency of chemical energy storage, is the maximum storage capacity of chemical energy storage.

4. The device according to claim 3, characterized in that The solving of the pre-established grid-side chemical energy storage capacity optimization model to obtain the optimal installed capacity and optimal storage capacity of the grid-side chemical energy storage includes: The Cplex software is used to solve the pre-established grid-side chemical energy storage capacity optimization model to obtain the optimal installed capacity and optimal storage capacity of the grid-side chemical energy storage.

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