Wind power generation energy storage configuration method, device, equipment and storage medium

Abstract

The present disclosure relates to a method, device, equipment and storage medium for configuring energy storage in wind power generation. The method includes: obtaining first energy storage parameters, second energy storage parameters of at least two energy storage types and multiple energy storage type schemes; for each energy storage type scheme, determining a corresponding target energy storage power and target energy storage capacity according to the first energy storage parameters of each energy storage type included in the energy storage type scheme; determining a corresponding comprehensive evaluation value according to the target power generation net income value of each energy storage type scheme and the second energy storage parameters of each energy storage type; determining the energy storage type scheme with the highest comprehensive evaluation value as the target scheme; and configuring the wind power generation energy storage system based on each target energy storage type, target energy storage power and target energy storage capacity in the target scheme. By determining the comprehensive evaluation values of each energy storage type scheme in multiple aspects and configuring the wind power generation energy storage system according to the scheme with the highest evaluation value, the present disclosure can comprehensively improve the comprehensive performance of the energy storage system.

Description

Technical Field

[0001] The present disclosure relates to the technical field of new energy power generation, and particularly to a method, device, equipment and storage medium for configuring energy storage in wind power generation. Background Art

[0002] In recent years, energy conservation and environmental protection have become the premise of development. New energy power generation represented by wind power generation has developed rapidly. Wind energy, as a renewable energy source, has the characteristics of volatility, randomness and intermittency, resulting in large fluctuations in the output power of wind power generation. When the installed capacity and grid-connected capacity of wind power generation continue to increase, the instability of the output power will have a huge impact on the frequency of the power grid and will also cause a serious impact on the safe and stable operation of the power grid. The energy storage system established by battery energy storage technology has the advantages of fast response and two-way regulation. Installing an energy storage system in a wind turbine can adjust the load, absorb the power peak, inject power when the power supply suddenly decreases, and relieve the power fluctuation caused by the output of renewable energy production, thereby reducing the impact of wind power generation on the power grid and improving the power grid's ability to accept wind power generation. However, when configuring the energy storage system in the existing solutions, only the energy storage income and cost are often considered, resulting in poor comprehensive performance of the energy storage system. Summary of the Invention

[0003] In order to solve the above technical problems, the present disclosure provides a method, device, equipment and storage medium for configuring energy storage in wind power generation.

[0004] The first aspect of the embodiments of the present disclosure provides a method for configuring energy storage in wind power generation, the method comprising:

[0005] Obtain a first energy storage parameter and a second energy storage parameter of at least two energy storage types, where the first energy storage parameter is an economic parameter and the second energy storage parameter is a performance parameter;

[0006] Obtain a plurality of energy storage type schemes, where each of the energy storage type schemes includes at least one energy storage type;

[0007] For each of the energy storage type schemes, determine a corresponding target energy storage power and a target energy storage capacity according to the first energy storage parameters of the energy storage types included in the energy storage type scheme;

[0008] Determine a corresponding comprehensive evaluation value according to the target power generation net income value of each of the energy storage type schemes and the second energy storage parameters of the energy storage types included in each of the energy storage type schemes;

[0009] Determine the energy storage type scheme with the highest comprehensive evaluation value among the plurality of energy storage type schemes as the target scheme;

[0010] Configure the wind power energy storage system based on each target energy storage type in the target solution, as well as the target energy storage power and target energy storage capacity corresponding to each target energy storage type.

[0011] The second aspect of the embodiments of the present disclosure provides a wind power energy storage configuration device, which includes:

[0012] A first acquisition module, configured to acquire first energy storage parameters and second energy storage parameters of at least two energy storage types, where the first energy storage parameters are economic parameters and the second energy storage parameters are performance parameters;

[0013] A second acquisition module, configured to acquire multiple energy storage type solutions, where each of the energy storage type solutions includes at least one energy storage type;

[0014] A first determination module, configured to, for each of the energy storage type solutions, determine the corresponding target energy storage power and target energy storage capacity according to the first energy storage parameters of the energy storage types included in the energy storage type solution;

[0015] A second determination module, configured to determine the corresponding comprehensive evaluation value according to the target power generation net income value of each of the energy storage type solutions and the second energy storage parameters of the energy storage types included in each of the energy storage type solutions;

[0016] A third determination module, configured to determine the energy storage type solution with the highest comprehensive evaluation value among the multiple energy storage type solutions as the target solution;

[0017] A configuration module, configured to configure the wind power energy storage system based on each target energy storage type in the target solution, as well as the target energy storage power and target energy storage capacity corresponding to each target energy storage type.

[0018] The third aspect of the embodiments of the present disclosure provides a computer device, including a memory, a processor, and a computer program, where the computer program is stored in the memory, and when the computer program is executed by the processor, the wind power energy storage configuration method in the first aspect as described above is implemented.

[0019] The fourth aspect of the embodiments of the present disclosure provides a computer-readable storage medium, in which a computer program is stored, and when the computer program is executed by the processor, the wind power energy storage configuration method in the first aspect as described above is implemented.

[0020] The technical solutions provided by the embodiments of the present disclosure have the following advantages compared with the prior art:

[0021] In the wind power energy storage configuration method, device, equipment and storage medium provided by the embodiments of the present disclosure, by obtaining the first energy storage parameters and the second energy storage parameters of at least two energy storage types, where the first energy storage parameter is an economic parameter and the second energy storage parameter is a performance parameter, multiple energy storage type schemes are obtained. Each energy storage type scheme includes at least one energy storage type. For each energy storage type scheme, the corresponding target energy storage power and target energy storage capacity are determined according to the first energy storage parameters of the energy storage types included in the energy storage type scheme. According to the target power generation net income value of each energy storage type scheme and the second energy storage parameters of the energy storage types included in each energy storage type scheme, the corresponding comprehensive evaluation value is determined. The energy storage type scheme with the highest comprehensive evaluation value among the multiple energy storage type schemes is determined as the target scheme. Based on the target energy storage types in the target scheme and the target energy storage power and target energy storage capacity corresponding to each target energy storage type, the wind power energy storage system is configured. After determining the optimal target energy storage power and target energy storage capacity according to the economic parameters corresponding to the energy storage types included in each energy storage type scheme, the comprehensive evaluation value of each energy storage type scheme can be determined by combining the performance parameters corresponding to the energy storage types, and the energy storage system is configured according to the energy storage type scheme with the highest comprehensive evaluation value. Therefore, by comprehensively considering the characteristics of different energy storage types in terms of economy and performance, the energy storage type, energy storage power and energy storage capacity are mixed and optimized to determine the optimal energy storage type, energy storage power and energy storage capacity, so that the finally configured wind power energy storage system has good comprehensive performance in all aspects. Description of the Drawings

[0022] The drawings here are incorporated into the specification and form a part of this specification, showing the embodiments consistent with the present disclosure and used together with the specification to explain the principles of the present disclosure.

[0023] In order to more clearly illustrate the technical solutions in the embodiments of the present disclosure or the prior art, the following will briefly introduce the drawings required for use in the description of the embodiments or the prior art. Obviously, for those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.

[0024] Figure 1 is a flowchart of a wind power energy storage configuration method provided by an embodiment of the present disclosure;

[0025] Figure 2 is a flowchart of a method for determining the target energy storage power and target energy storage capacity provided by an embodiment of the present disclosure;

[0026] Figure 3 is a flowchart of a method for determining the comprehensive evaluation value of an energy storage type scheme provided by an embodiment of the present disclosure;

[0027] Figure 4It is a schematic structural diagram of a wind power energy storage configuration device provided by an embodiment of the present disclosure;

[0028] Figure 5 It is a schematic structural diagram of a computer device provided by an embodiment of the present disclosure. Detailed implementation manners

[0029] In order to be able to more clearly understand the above-mentioned objects, features and advantages of the present disclosure, the solutions of the present disclosure will be further described below. It should be noted that, without conflict, the embodiments of the present disclosure and the features in the embodiments can be combined with each other.

[0030] Many specific details are set forth in the following description in order to fully understand the present disclosure, but the present disclosure may also be implemented in other ways different from those described herein; obviously, the embodiments in the specification are only a part of the embodiments of the present disclosure, rather than all of the embodiments.

[0031] It should be understood that the various steps recorded in the method implementation manners of the present disclosure can be executed in different orders and / or executed in parallel. In addition, the method implementation manners may include additional steps and / or omit the steps shown. The scope of the present disclosure is not limited in this regard.

[0032] Figure 1 It is a flowchart of a wind power energy storage configuration method provided by an embodiment of the present disclosure. This method can be executed by a wind power energy storage configuration device, which can be implemented in software and / or hardware, and can be configured in an electronic device, such as a server or a terminal. Among them, the terminal specifically includes a mobile phone, a computer, a tablet computer, etc. As Figure 1 shown, the wind power energy storage configuration method provided in this embodiment includes the following steps:

[0033] S101. Obtain the first energy storage parameters and the second energy storage parameters of at least two energy storage types, where the first energy storage parameters are economic parameters and the second energy storage parameters are performance parameters.

[0034] The energy storage types in the embodiments of the present disclosure can be understood as energy storage device types, and specifically may include energy storage types such as sodium-ion batteries, lithium-ion batteries, all-vanadium redox flow batteries, lead-acid batteries, and supercapacitors, which are not limited herein.

[0035] The first energy storage parameter in the embodiments of the present disclosure can be understood as the economic parameter of the energy storage type, that is, the parameters related to income and cost. The second energy storage parameter can be understood as the parameter reflecting the performance of the energy storage type in various aspects. For example, the first energy storage parameter can include at least one of the following: total power generation income value, unit power cost, unit capacity cost, total number of cycles, number of cycles per unit time, and power generation duration. The second energy storage parameter can include at least one of the following: safety value, environmental protection value, high-temperature performance value, and low-temperature performance value.

[0036] In the embodiments of the present disclosure, when the wind power energy storage configuration device needs to configure the wind power energy storage system, it can obtain the first energy storage parameter and the second energy storage parameter corresponding to at least two energy storage types respectively.

[0037] In an exemplary implementation manner of the embodiments of the present disclosure, the wind power energy storage configuration device can, in response to a user instruction, obtain the first energy storage parameter and the second energy storage parameter of at least two energy storage types selected by the user from a preset database. The user instruction can directly include the information of the energy storage type, or can include the screening conditions related to the energy storage type, such as the unit power cost or the unit capacity cost being less than a preset threshold, so that the wind power energy storage configuration device can determine at least two energy storage types that meet the screening conditions from each energy storage type according to the screening conditions.

[0038] S102. Obtain multiple energy storage type schemes, where each energy storage type scheme includes at least one energy storage type.

[0039] The energy storage type scheme in the embodiments of the present disclosure can be understood as a scheme for characterizing the energy storage types constituting the wind power energy storage system. The energy storage type scheme can include only one energy storage type, that is, a single energy storage type, or can include two or more energy storage types, that is, a hybrid energy storage type.

[0040] In the embodiments of the present disclosure, after obtaining the first energy storage parameter and the second energy storage parameter of at least two energy storage types, the wind power energy storage configuration device can obtain multiple energy storage type schemes composed of one or more of these energy storage types.

[0041] In an exemplary implementation manner of the embodiments of the present disclosure, the wind power energy storage configuration device can screen the energy storage type schemes including the target number of energy storage types from the preset energy storage type schemes. Specifically, after obtaining the first energy storage parameter and the second energy storage parameter of at least two energy storage types, the wind power energy storage configuration device can obtain the target number of energy storage types selected by the user for configuring the energy storage system, and then screen the energy storage type schemes including the target number of energy storage types from all the preset energy storage type schemes. For example, if there are currently four energy storage types and the energy storage type scheme selected by the user includes two energy storage types, six optional energy storage type schemes can be determined.

[0042] S103. For each energy storage type solution, determine the corresponding target energy storage power and target energy storage capacity according to the first energy storage parameters of each energy storage type included in the energy storage type solution.

[0043] In the embodiments of the present disclosure, after obtaining the first energy storage parameters of each energy storage type and multiple energy storage type solutions, the wind power energy storage configuration device can, for each energy storage type solution, determine the target energy storage power and target energy storage capacity of each energy storage type corresponding to the energy storage type solution according to the first energy storage parameters of each energy storage type included in the energy storage type solution.

[0044] In an exemplary implementation manner of the embodiments of the present disclosure, the energy storage power and the energy storage capacity respectively correspond to a value range, which can be the system default or set manually. The sum of the target energy storage powers and the sum of the target energy storage capacities of each energy storage type included in the energy storage type solution need to be respectively within the corresponding value ranges. The wind power energy storage configuration device can, for each energy storage type solution, determine the target energy storage power and target energy storage capacity of each energy storage type corresponding to the energy storage type solution according to the first energy storage parameters of each energy storage type included in the energy storage type solution, based on a pre-trained neural network model, or can also construct an optimization function based on the first energy storage parameters and obtain the optimal solution to get the target energy storage power and target energy storage capacity.

[0045] S104. Determine the corresponding comprehensive evaluation value according to the target power generation net income value of each energy storage type solution and the second energy storage parameters of each energy storage type included in each energy storage type solution.

[0046] The target power generation net income value in the embodiments of the present disclosure can be understood as the power generation net income value determined according to the target energy storage power and target energy storage capacity corresponding to each energy storage type solution, and specifically can be the difference between the total power generation income value and the development cost and operation and maintenance cost.

[0047] The comprehensive evaluation value in the embodiments of the present disclosure can be understood as the evaluation result parameter for comprehensively evaluating the energy storage type solution from the economic aspect and the performance aspect.

[0048] In the embodiments of the present disclosure, after determining the target energy storage power and target energy storage capacity corresponding to each energy storage type solution, the wind power energy storage configuration device can calculate the target power generation net income value of each energy storage type solution according to the target energy storage power and target energy storage capacity, and then substitute the target power generation net income value of each energy storage type solution and the second energy storage parameters of each energy storage type included in each energy storage type solution into a preset comprehensive evaluation function to calculate the comprehensive evaluation value corresponding to each energy storage type solution.

[0049] S105. Determine the energy storage type solution with the highest comprehensive evaluation value among multiple energy storage type solutions as the target solution.

[0050] In the embodiments of the present disclosure, after determining the comprehensive evaluation values corresponding to each energy storage type solution, the wind power energy storage configuration device can sort the energy storage type solutions in descending order according to the comprehensive evaluation values, and determine the energy storage type solution with the highest comprehensive evaluation value among multiple energy storage type solutions as the target solution.

[0051] S106. Configure the wind power energy storage system based on the target energy storage types in the target solution and the target energy storage power and target energy storage capacity corresponding to each target energy storage type.

[0052] In the embodiments of the present disclosure, after determining the target solution, the wind power energy storage configuration device can configure the wind power energy storage system according to the target energy storage types in the target solution and the target energy storage power and target energy storage capacity corresponding to each target energy storage type. Specifically, the energy storage type of the wind power energy storage system can be determined as the target energy storage type in the target solution, and the energy storage system can be set according to the target energy storage power and target energy storage capacity corresponding to each target energy storage type.

[0053] In the embodiments of the present disclosure, by obtaining the first energy storage parameters and the second energy storage parameters of at least two energy storage types, where the first energy storage parameter is an economic parameter and the second energy storage parameter is a performance parameter, multiple energy storage type solutions are obtained. Each energy storage type solution includes at least one energy storage type. For each energy storage type solution, the corresponding target energy storage power and target energy storage capacity are determined according to the first energy storage parameters of the energy storage types included in the energy storage type solution. According to the target power generation net income value of each energy storage type solution and the second energy storage parameters of the energy storage types included in each energy storage type solution, the corresponding comprehensive evaluation value is determined. The energy storage type solution with the highest comprehensive evaluation value among multiple energy storage type solutions is determined as the target solution. The wind power energy storage system is configured based on the target energy storage types in the target solution and the target energy storage power and target energy storage capacity corresponding to each target energy storage type. After determining the optimal target energy storage power and target energy storage capacity according to the economic parameters corresponding to the energy storage types included in each energy storage type solution, the comprehensive evaluation value of each energy storage type solution can be determined in combination with the performance parameters corresponding to the energy storage types, and the energy storage system is configured according to the energy storage type solution with the highest comprehensive evaluation value. Thus, the characteristics of different energy storage types in terms of economy and performance are comprehensively considered, and the energy storage type, energy storage power, and energy storage capacity are hybrid-optimized to determine the optimal energy storage type, energy storage power, and energy storage capacity, so that the finally configured wind power energy storage system has good comprehensive performance in all aspects.

[0054] In some embodiments of the present disclosure, the second energy storage parameter is obtained by performing a weighted average operation on the scoring data in a pre-collected performance questionnaire.

[0055] Specifically, the wind power energy storage configuration device can obtain the performance questionnaires filled in by experts. The performance questionnaires contain the scoring data corresponding to the second energy storage parameters of various energy storage types. By performing a weighted average operation on the scoring data corresponding to the same second energy storage parameter in different performance questionnaires, the value of this second energy storage parameter is obtained. Among them, when the wind power energy storage configuration device performs the weighted average operation, it can determine the weights of the scoring data in each performance questionnaire according to the education background, technical title, work experience, etc. of the person filling in the form corresponding to the performance questionnaire. Then, a weighted average operation is performed on the scoring data corresponding to the same second energy storage parameter in different performance questionnaires. For example, the higher the education background and technical title, and the longer the work experience, the greater the corresponding weight.

[0056] In some other embodiments of the present disclosure, when the wind power energy storage configuration device determines the corresponding target energy storage power and target energy storage capacity for each energy storage type scheme according to the first energy storage parameters of the energy storage types included in the energy storage type scheme, for each energy storage type scheme, an optimization objective function is constructed according to the first energy storage parameters of the energy storage types included in the energy storage type scheme, and the optimal solution of the optimization objective function is obtained based on the preset optimization constraint conditions, where the optimization objective function is used to characterize the net power generation income value, and the optimization constraint conditions are determined based on the state of charge threshold and the grid power shortage threshold.

[0057] Specifically, for each energy storage type scheme, the wind power energy storage configuration device can substitute the first energy storage parameters of the energy storage types included in the energy storage type scheme into the optimization objective function, take the energy storage power and energy storage capacity of each energy storage type as variables to be solved, and take the maximum net power generation income value as the optimization objective. A continuous optimization algorithm, such as the Harris hawk optimization algorithm, particle swarm optimization algorithm, etc., is used to find the optimal solution of the optimization objective function based on the preset optimization constraint conditions. Among them, the optimization constraint conditions are determined based on the state of charge threshold and the grid power shortage threshold. The sum of the products of the finally determined target energy storage power of each energy storage type and the discharge efficiency needs to be less than or equal to the grid power shortage threshold. The sum of the state of charge corresponding to the finally determined target energy storage power and target energy storage capacity of each energy storage type needs to be greater than the minimum state of charge and less than the maximum state of charge.

[0058] Figure 2 is a flowchart of a method for determining the target energy storage power and target energy storage capacity provided by the embodiments of the present disclosure, as Figure 2As shown in the figure, based on the above embodiments, the target energy storage power and the target energy storage capacity can be determined by the following method.

[0059] S201. For each energy storage type scheme, determine the development cost corresponding to each energy storage type according to the energy storage power, energy storage capacity, unit power cost, and unit capacity cost of each energy storage type included in the energy storage type scheme.

[0060] The development cost in the embodiments of the present disclosure can be understood as the one-time cost generated for developing the energy storage system.

[0061] In the embodiments of the present disclosure, the wind power energy storage configuration device can, for each energy storage type scheme, calculate the product of the energy storage power and the unit power cost of each energy storage type in the energy storage type scheme to obtain the power cost, then calculate the product of the energy storage capacity and the unit capacity cost to obtain the capacity cost, and then calculate the sum of the power cost and the capacity cost to obtain the development cost corresponding to each energy storage type. Furthermore, sum up the development costs corresponding to each energy storage type included in the energy storage type scheme to obtain the development cost corresponding to the energy storage type scheme. By way of example, when the energy storage type scheme includes two energy storage types, the development cost corresponding to the energy storage type scheme can be expressed as follows:

[0062] C 1 =C p1 P 1 +C p2 P 2 +C E1 E 1 +C E2 E 2

[0063] Wherein, C p1 is the unit power cost of the first energy storage type, P 1 is the energy storage power of the first energy storage type, C p2 is the unit power cost of the second energy storage type, P 2 is the energy storage power of the second energy storage type, C E1 is the unit capacity cost of the first energy storage type, E 1 is the energy storage capacity of the first energy storage type, C E2 is the unit capacity cost of the second energy storage type, E 2 is the energy storage capacity of the second energy storage type, C 1 is the development cost corresponding to the energy storage type scheme.

[0064] S202. For each energy storage type scheme, determine the operation and maintenance cost corresponding to each energy storage type according to the energy storage capacity, unit capacity cost, total number of cycles, number of cycles per unit time, and power generation duration of each energy storage type included in the energy storage type scheme.

[0065] In the embodiments of the present disclosure, the operation and maintenance cost can be understood as the maintenance cost of the energy storage device and the replacement cost of the battery. The maintenance cost of the energy storage device is very small and can be ignored. The replacement cost of the battery is mainly the battery life loss.

[0066] In the embodiments of the present disclosure, the wind power energy storage configuration device can calculate the capacity cost of each energy storage type in the energy storage type plan for each energy storage type plan, that is, the product of the energy storage capacity and the unit capacity cost. Then, according to the total number of cycles, the number of cycles per unit time, and the power generation duration, determine the degree of life loss of the battery within a certain period of time, and then calculate the product of the degree of life loss and the capacity cost to obtain the operation and maintenance cost corresponding to each energy storage type. Furthermore, sum up the operation and maintenance costs corresponding to each energy storage type included in the energy storage type plan to obtain the operation and maintenance cost corresponding to the energy storage type plan. For example, when the energy storage type plan includes two energy storage types, the operation and maintenance cost corresponding to the energy storage type plan can be expressed as follows:

[0067]

[0068] Where N 1 is the number of cycles of the life of the first energy storage type; N t1 is the number of energy storage cycles in a typical working day of the first energy storage type, T 1 is the number of days of energy storage operation expected in a year for the first energy storage type; N 2 is the number of cycles of the life of the second energy storage type; N t2 is the number of energy storage cycles in a typical working day of the second energy storage type, T 2 is the number of days of energy storage operation expected in a year for the second energy storage type, C 2 is the operation and maintenance cost corresponding to the energy storage type plan.

[0069] S203. For each energy storage type plan, construct an optimization objective function according to the total power generation income value, development cost, and operation and maintenance cost of each energy storage type included in the energy storage type plan. Based on the preset optimization constraint conditions, find the optimal solution of the optimization objective function with the maximum power generation net income value as the optimization objective to obtain the target energy storage power and the target energy storage capacity. The target power generation net income value is the maximum power generation net income value corresponding to the target energy storage power and the target energy storage capacity.

[0070] In the embodiments of the present disclosure, the target power generation net income value is the maximum power generation net income value of the energy storage type plan obtained after substituting the target energy storage power and the target energy storage capacity corresponding to the energy storage type plan into the optimization objective function.

[0071] In the embodiments of the present disclosure, the total power generation income value can be determined based on at least one of the frequency regulation electricity price, the compensation electricity price for electricity, the frequency regulation power quantity, the unit cost of reducing the wind abandonment loss power quantity, and the wind abandonment loss power quantity. Specifically, the total power generation income value can be expressed as follows:

[0072] C 3 =(λ T +β)Q T +U s Q s

[0073] where λ T is the frequency regulation electricity price, β is the compensation electricity price for the auxiliary frequency regulation facility, Q T is the frequency regulation power quantity, U s is the unit cost of reducing the wind abandonment loss power quantity, Q s is the power quantity of reducing the wind abandonment loss, and C 3 is the total power generation income value corresponding to this energy storage type scheme.

[0074] In the embodiments of the present disclosure, after obtaining the total power generation income value, the development cost, and the operation and maintenance cost corresponding to each energy storage type scheme, the wind power generation energy storage configuration device substitutes them into the calculation of the difference between the total power generation income value and the development cost and the operation and maintenance cost to obtain the optimization objective function. And based on the preset optimization constraint conditions, taking the maximum net power generation income value as the optimization objective, the optimal solution of the optimization objective function is obtained to obtain the target energy storage power and the target energy storage capacity. Among them, when the energy storage type scheme includes two energy storage types, the optimization objective function, the optimization constraint conditions, and the relationship between the state of charge and the energy storage capacity corresponding to this energy storage type scheme can be respectively expressed as follows:

[0075]

[0076]

[0077]

[0078] where M 1 is the net power generation income value corresponding to the energy storage type scheme, Q min and Q max are respectively the minimum state of charge and the maximum state of charge in the state of charge threshold, Q 1 and Q 2 are respectively the state of charge of the first energy storage type and the second energy storage type, η 1 and η 2 are respectively the discharge efficiency of the first energy storage type and the second energy storage type, P 1 and P 2 are respectively the energy storage power of the first energy storage type and the second energy storage type, and P maxis the power threshold missing from the power grid, t 1 and for t 2 are the frequency modulation times of the first energy storage type and the second energy storage type respectively.

[0079] When the wind power energy storage configuration device determines the optimal solutions of the energy storage power and the energy storage capacity (i.e., the target energy storage power and the target energy storage capacity), it can set the initialization of the optimization parameters and use the continuous optimization algorithm for optimization. When the optimization termination condition ΔM of the optimization objective function is satisfied 1 < δ, the current energy storage power and energy storage capacity are determined as the target energy storage power and the target energy storage capacity. Among them, ΔM 1 is the change amount of the optimization objective function between two adjacent iterations, and δ is a preset threshold.

[0080] In the embodiments of the present disclosure, for each energy storage type scheme, according to the energy storage power, energy storage capacity, unit power cost, and unit capacity cost of each energy storage type included in the energy storage type scheme, the development cost corresponding to each energy storage type is determined. For each energy storage type scheme, according to the energy storage capacity, unit capacity cost, total number of cycles, number of cycles per unit time, and power generation duration of each energy storage type included in the energy storage type scheme, the operation and maintenance cost corresponding to each energy storage type is determined. For each energy storage type scheme, an optimization objective function is constructed according to the total power generation income value, development cost, and operation and maintenance cost of each energy storage type included in the energy storage type scheme. Based on the preset optimization constraint conditions, the maximum power generation net income value is used as the optimization objective to find the optimal solution of the optimization objective function, and the target energy storage power and the target energy storage capacity are obtained. The target power generation net income value is the maximum power generation net income value corresponding to the target energy storage power and the target energy storage capacity. It is possible to comprehensively consider the total power generation income value, development cost, and operation and maintenance cost of each energy storage type, determine the optimal solutions of the energy storage power and the energy storage capacity that maximize the power generation net income value, and facilitate subsequent determination of the target scheme with the highest comprehensive evaluation value based on the optimal solutions, so that the finally configured energy storage scheme has good economic benefits.

[0081] Figure 3 is a flowchart of a method for determining the comprehensive evaluation value of an energy storage type scheme provided by the embodiments of the present disclosure. As Figure 3 shown, on the basis of the above embodiments, the comprehensive evaluation value of the energy storage type scheme can be determined by the following method.

[0082] S301. For each energy storage type scheme, substitute the second energy storage parameters of each energy storage type included in the energy storage type scheme into the pre-constructed comprehensive evaluation function, and calculate the performance scores of each energy storage type scheme.

[0083] In the embodiments of the present disclosure, after determining the target energy storage power and target energy storage capacity corresponding to each energy storage type scheme, the wind power energy storage configuration device can further determine the performance score of each energy storage type scheme according to the second energy storage parameters of each energy storage type included in each energy storage type scheme. Specifically, for each energy storage type scheme, the sum of multiple second energy storage parameters corresponding to each energy storage type in the energy storage type scheme can be calculated and determined as the performance score of the energy storage type in the energy storage type scheme. Then, the sum of the performance scores of each energy storage type in the energy storage type scheme is calculated to obtain the performance score of the energy storage type scheme, which is expressed as follows:

[0084]

[0085] where i is the index of the energy storage type and j is the index of the second energy storage parameter, H ij is the j-th second energy storage parameter of the i-th energy storage type, and M 2 is the performance score of the energy storage type scheme. When the energy storage type scheme includes two energy storage types and the second energy storage parameters include safety value, environmental protection value, high-temperature performance value, and low-temperature performance value, s = 2 and k = 4.

[0086] S302. Calculate the first product of the target net power generation income value of each energy storage type scheme and the first preset weight, and the second product of the performance score of each energy storage type scheme and the second preset weight, and sum the first product and the second product to obtain the comprehensive evaluation value of each energy storage type scheme.

[0087] In the embodiments of the present disclosure, after obtaining the target net power generation income value and performance score of the energy storage type scheme, the wind power energy storage configuration device can calculate the first product of the target net power generation income value and the first preset weight, and the second product of the performance score of each energy storage type scheme and the second preset weight, and sum the first product and the second product to obtain the comprehensive evaluation value of each energy storage type scheme. When the energy storage type scheme includes two energy storage types, it is specifically expressed as follows:

[0088] M = k 1 M 1 + k 2 M 2

[0089] where M is the comprehensive evaluation value of the energy storage type scheme, and k 1 and k 2 are the first preset weight and the second preset weight respectively.

[0090] In the embodiments of the present disclosure, for each energy storage type solution, the second energy storage parameters of each energy storage type included in the energy storage type solution are respectively substituted into a pre-constructed comprehensive evaluation function to calculate the performance scores of each energy storage type solution, calculate the first product of the target power generation net income value of each energy storage type solution and the first preset weight, and the second product of the performance score of each energy storage type solution and the second preset weight, and sum the first product and the second product to obtain the comprehensive evaluation value of each energy storage type solution, which can comprehensively consider various factors such as safety, environmental protection, cost, life, frequency modulation effect, etc., and determine the optimal energy storage type, energy storage power and energy storage capacity, so that the finally configured wind power energy storage system has good comprehensive performance in all aspects.

[0091] Figure 4 It is a schematic structural diagram of a wind power energy storage configuration device provided by the embodiments of the present disclosure. As Figure 4 shown, the wind power energy storage configuration device 400 includes: a first acquisition module 410, a second acquisition module 420, a first determination module 430, a second determination module 440, a third determination module 450, and a configuration module 460. Among them, the first acquisition module 410 is used to acquire the first energy storage parameters and the second energy storage parameters of at least two energy storage types, where the first energy storage parameters are economic parameters and the second energy storage parameters are performance parameters; the second acquisition module 420 is used to acquire a plurality of energy storage type solutions, where each energy storage type solution includes at least one energy storage type; the first determination module 430 is used to, for each energy storage type solution, determine the corresponding target energy storage power and target energy storage capacity according to the first energy storage parameters of each energy storage type included in the energy storage type solution; the second determination module 440 is used to determine the corresponding comprehensive evaluation value according to the target power generation net income value of each energy storage type solution and the second energy storage parameters of each energy storage type included in each energy storage type solution; the third determination module 450 is used to determine the energy storage type solution with the highest comprehensive evaluation value among the plurality of energy storage type solutions as the target solution; the configuration module 460 is used to configure the wind power energy storage system based on the target energy storage types in the target solution and the target energy storage power and target energy storage capacity corresponding to each target energy storage type.

[0092] Optionally, the second acquisition module 420 is specifically configured to screen out the energy storage type solutions including the target number of energy storage types from the preset energy storage type solutions.

[0093] Optionally, the first energy storage parameters include at least one of the following: total power generation income value, unit power cost, unit capacity cost, total number of cycles, number of cycles per unit time, and power generation duration, and the second energy storage parameters include at least one of the following: safety value, environmental protection value, high-temperature performance value, and low-temperature performance value.

[0094] Optionally, the total power generation income value is determined based on at least one of the frequency regulation electricity price, the compensation electricity price, the frequency regulation power quantity, the unit cost of reducing the wind curtailment loss power quantity, and the reduced wind curtailment loss power quantity.

[0095] Optionally, the second energy storage parameter is obtained by performing a weighted average operation on the scoring data in a pre-collected performance questionnaire.

[0096] Optionally, the first determination module 430 is specifically configured to, for each of the energy storage type schemes, construct an optimization objective function according to the first energy storage parameters of each energy storage type included in the energy storage type scheme, and obtain the target energy storage power and the target energy storage capacity by finding the optimal solution of the optimization objective function based on a preset optimization constraint condition, where the optimization objective function is used to represent the net power generation income value, and the optimization constraint condition is determined based on the state of charge threshold and the grid power shortage threshold.

[0097] Optionally, the first determination module 430 includes: a first determination unit configured to, for each of the energy storage type schemes, determine the development cost corresponding to each energy storage type according to the energy storage power, the energy storage capacity, the unit power cost, and the unit capacity cost of each energy storage type included in the energy storage type scheme; a second determination unit configured to, for each of the energy storage type schemes, determine the operation and maintenance cost corresponding to each energy storage type according to the energy storage capacity, the unit capacity cost, the total number of cycles, the number of cycles per unit time, and the power generation duration of each energy storage type included in the energy storage type scheme; an optimization unit configured to, for each of the energy storage type schemes, construct an optimization objective function according to the total power generation income value, the development cost, and the operation and maintenance cost of each energy storage type included in the energy storage type scheme, and find the optimal solution of the optimization objective function with the maximum net power generation income value as the optimization objective based on a preset optimization constraint condition, to obtain the target energy storage power and the target energy storage capacity, and the target net power generation income value is the maximum net power generation income value corresponding to the target energy storage power and the target energy storage capacity.

[0098] Optionally, the second determination module 440 includes: a first calculation unit configured to, for each of the energy storage type schemes, substitute the second energy storage parameters of each energy storage type included in the energy storage type scheme into a pre-constructed comprehensive evaluation function to calculate the performance score of each energy storage type scheme; a second calculation unit configured to calculate the first product of the target power generation net income value of each energy storage type scheme and the first preset weight, and the second product of the performance score of each energy storage type scheme and the second preset weight, and sum the first product and the second product to obtain the comprehensive evaluation value of each energy storage type scheme.

[0099] The wind power generation energy storage configuration device provided in this embodiment can execute the method described in any of the above embodiments, and its execution manner and beneficial effects are similar, which will not be elaborated here.

[0100] Figure 5 It is a schematic structural diagram of a computer device provided by an embodiment of the present disclosure.

[0101] As Figure 5 shown, the computer device may include a processor 510 and a memory 520 storing computer program instructions.

[0102] Specifically, the above-mentioned processor 510 may include a central processing unit (CPU), or an application specific integrated circuit (ASIC), or one or more integrated circuits configured to implement the embodiments of the present application.

[0103] The memory 520 may include a mass storage for information or instructions. By way of example and not limitation, the memory 520 may include a hard disk drive (HDD), a floppy disk drive, a flash memory, an optical disk, a magneto-optical disk, a magnetic tape, or a universal serial bus (USB) drive, or a combination of two or more of these. In a suitable case, the memory 520 may include removable or non-removable (or fixed) media. In a suitable case, the memory 520 may be inside or outside the integrated gateway device. In a specific embodiment, the memory 520 is a non-volatile solid-state memory. In a specific embodiment, the memory 520 includes a read-only memory (ROM). In a suitable case, the ROM may be a mask-programmed ROM, a programmable ROM (PROM), an erasable PROM (EPROM), an electrically erasable PROM (EEPROM), an electrically alterable ROM (EAROM), or a flash memory, or a combination of two or more of these.

[0104] The processor 510 reads and executes the computer program instructions stored in the memory 520 to execute the steps of the wind power generation energy storage configuration method provided by the embodiments of the present disclosure.

[0105] In one example, the computer device may further include a transceiver 530 and a bus 540. Among them, as Figure 5 shown, the processor 510, the memory 520, and the transceiver 530 are connected through the bus 540 and complete communication with each other.

[0106] The bus 540 includes hardware, software, or both. By way of example and not limitation, the bus can include an Accelerated Graphics Port (AGP) or other graphics bus, an Extended Industry Standard Architecture (EISA) bus, a Front Side BUS (FSB), a Hyper Transport (HT) interconnect, an Industrial Standard Architecture (ISA) bus, an InfiniBand interconnect, a Low Pin Count (LPC) bus, a memory bus, a MicroChannel Architecture (MCA) bus, a Peripheral Component Interconnect (PCI) bus, a PCI-Express (PCI-X) bus, a Serial Advanced Technology Attachment (SATA) bus, a Video Electronics Standards Association Local Bus (VLB) bus, or other suitable bus or a combination of two or more of these. Where appropriate, the bus 540 can include one or more buses. Although embodiments of the present application describe and illustrate specific buses, the present application contemplates any suitable bus or interconnect.

[0107] Embodiments of the present disclosure also provide a computer-readable storage medium that can store a computer program. When the computer program is executed by a processor, the processor is caused to implement the wind power generation energy storage configuration method provided by the embodiments of the present disclosure.

[0108] The above storage medium may include, for example, a memory 520 for computer program instructions, and the above instructions may be executed by a processor 510 of the wind power energy storage configuration device to complete the wind power energy storage configuration method provided by the embodiments of the present disclosure. Optionally, the storage medium may be a non-transitory computer-readable storage medium. For example, the non-transitory computer-readable storage medium may be a ROM, a random access memory (RAM), a compact disc read-only memory (CD-ROM), magnetic tape, a floppy disk, and an optical data storage device, etc. The above computer program may be written in any combination of one or more programming languages to write program code for performing the operations of the embodiments of the present disclosure. The programming languages include object-oriented programming languages such as Java, C++, etc., and also include conventional procedural programming languages such as the "C" language or similar programming languages. The program code may be executed entirely on the user computing device, partially on the user device, executed as an independent software package, partially on the user computing device and partially on a remote computing device, or entirely on a remote computing device or server.

[0109] It should be noted that in this article, relational terms such as "first" and "second" are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the term "comprising", "including" or any other variant thereof is intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements not only includes those elements, but also includes other elements not expressly listed, or further includes elements inherent to such process, method, article or device. Without further limitation, an element defined by the statement "including a..." does not exclude the existence of additional identical elements in the process, method, article or device including the said element.

[0110] The above description is only a specific implementation manner of the present disclosure, enabling those skilled in the art to understand or implement the present disclosure. Various modifications to these embodiments will be obvious to those skilled in the art, and the general principles defined herein can be implemented in other embodiments without departing from the spirit or scope of the present disclosure. Therefore, the present disclosure will not be limited to these embodiments described herein, but will conform to the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A method for configuring wind power generation energy storage, characterized in that: The method comprises: Acquire a first energy storage parameter and a second energy storage parameter of at least two energy storage types, wherein the first energy storage parameter is an economic parameter, and the second energy storage parameter is a performance parameter, wherein the second energy storage parameter includes at least one of the following: a safety value, an environmental protection value, a high temperature performance value, and a low temperature performance value; Acquire a plurality of energy storage type schemes, wherein each of the energy storage type schemes includes at least one energy storage type; For each of the energy storage type schemes, determine the corresponding target energy storage power and target energy storage capacity according to the first energy storage parameters of each energy storage type included in the energy storage type scheme; Determine a corresponding comprehensive evaluation value according to the target net power generation income value of each of the energy storage type schemes and the second energy storage parameter of each energy storage type included in each of the energy storage type schemes, wherein the target net power generation income value is the maximum net power generation income value corresponding to the target energy storage power and the target energy storage capacity; Determine the energy storage type scheme with the highest comprehensive evaluation value among the multiple energy storage type schemes as the target scheme; Configuring the wind power generation energy storage system based on each target energy storage type in the target scheme and the target energy storage power and target energy storage capacity corresponding to each target energy storage type; Determining the corresponding comprehensive evaluation value according to the target net power generation income value of each energy storage type scheme and the second energy storage parameter of each energy storage type included in each energy storage type scheme includes: For each of the energy storage type solutions, the second energy storage parameters of each energy storage type included in the energy storage type solution are respectively substituted into a pre-constructed comprehensive evaluation function to calculate a performance score of each energy storage type solution; Calculate the first product of the target net power generation income value of each energy storage type scheme and the first preset weight, and the second product of the performance score of each energy storage type scheme and the second preset weight, and sum the first product and the second product to obtain a comprehensive evaluation value of each energy storage type scheme.

2. The method according to claim 1, characterized in that The method of obtaining multiple energy storage type solutions includes: An energy storage type scheme including a target number of energy storage types is screened from preset energy storage type schemes.

3. The method according to claim 1, characterized in that The first energy storage parameter includes at least one of the following: total power generation income value, unit power cost, unit capacity cost, total number of cycles, number of cycles per unit time and power generation duration.

4. The method according to claim 3, characterized in that The total power generation revenue value is determined based on at least one of the frequency regulation electricity price, the compensation electricity price, the frequency regulation electricity, the unit cost of reducing the wind power loss, and the reduction of the wind power loss.

5. The method according to claim 3, characterized in that: The second energy storage parameter is obtained by weighted average calculation based on the score data in the performance questionnaire collected in advance.

6. The method according to claim 3, characterized in that For each of the energy storage type schemes, determining the corresponding target energy storage power and target energy storage capacity according to the first energy storage parameters of each energy storage type included in the energy storage type scheme includes: For each of the energy storage type schemes, an optimization objective function is constructed according to the first energy storage parameters of each energy storage type included in the energy storage type scheme, and the optimal solution of the optimization objective function is sought based on preset optimization constraints to obtain the target energy storage power and the target energy storage capacity, wherein the optimization objective function is used to characterize the net income value of power generation, and the optimization constraints are determined based on the state of charge threshold and the grid missing power threshold.

7. The method according to claim 6, characterized in that For each of the energy storage type schemes, an optimization objective function is constructed according to the first energy storage parameters of each energy storage type included in the energy storage type scheme, and an optimal solution is obtained for the optimization objective function based on preset optimization constraints to obtain the target energy storage power and the target energy storage capacity, including: For each of the energy storage type solutions, determine the development cost corresponding to each energy storage type according to the energy storage power, energy storage capacity, unit power cost and unit capacity cost of each energy storage type included in the energy storage type solution; For each of the energy storage type solutions, determine the operation and maintenance cost corresponding to each energy storage type according to the energy storage capacity, unit capacity cost, total number of cycles, number of cycles per unit time and power generation duration of each energy storage type included in the energy storage type solution; For each of the energy storage type schemes, an optimization objective function is constructed according to the total power generation income value, development cost and operation and maintenance cost of each energy storage type included in the energy storage type scheme. Based on the preset optimization constraints, the maximum net power generation income value is taken as the optimization target to find the optimal solution of the optimization objective function, and the target energy storage power and the target energy storage capacity are obtained.

8. A wind power generation energy storage configuration device, characterized in that: The device comprises: A first acquisition module, used to acquire first energy storage parameters and second energy storage parameters of at least two energy storage types, wherein the first energy storage parameter is an economic parameter, and the second energy storage parameter is a performance parameter, and the second energy storage parameter includes at least one of the following: a safety value, an environmental protection value, a high temperature performance value, and a low temperature performance value; A second acquisition module is used to acquire a plurality of energy storage type schemes, wherein each of the energy storage type schemes includes at least one energy storage type; A first determination module is used to determine, for each of the energy storage type schemes, a corresponding target energy storage power and a target energy storage capacity according to first energy storage parameters of each energy storage type included in the energy storage type scheme; A second determination module is used to determine a corresponding comprehensive evaluation value according to a target net power generation income value of each of the energy storage type schemes and a second energy storage parameter of each energy storage type included in each of the energy storage type schemes, wherein the target net power generation income value is a maximum net power generation income value corresponding to the target energy storage power and the target energy storage capacity; A third determination module is used to determine the energy storage type scheme with the highest comprehensive evaluation value among the multiple energy storage type schemes as the target scheme; A configuration module, configured to configure the wind power generation energy storage system based on each target energy storage type in the target scheme and the target energy storage power and target energy storage capacity corresponding to each target energy storage type; The second determining module includes: A first calculation unit is used for, for each of the energy storage type schemes, substituting the second energy storage parameters of each energy storage type included in the energy storage type scheme into a pre-built comprehensive evaluation function to calculate a performance score of each energy storage type scheme; The second calculation unit is used to calculate the first product of the target net power generation income value of each energy storage type scheme and the first preset weight, and the second product of the performance score of each energy storage type scheme and the second preset weight, and sum the first product and the second product to obtain a comprehensive evaluation value of each energy storage type scheme.

9. The device according to claim 8, characterized in that The second acquisition module is specifically configured to filter energy storage type solutions including a target number of energy storage types from preset energy storage type solutions.

10. The device according to claim 8, characterized in that The first energy storage parameter includes at least one of the following: total power generation income value, unit power cost, unit capacity cost, total number of cycles, number of cycles per unit time and power generation duration.

11. The device according to claim 10, characterized in that The total power generation revenue value is determined based on at least one of the frequency regulation electricity price, the compensation electricity price, the frequency regulation electricity, the unit cost of reducing the wind power loss, and the reduction of the wind power loss.

12. The device according to claim 10, characterized in that The second energy storage parameter is obtained by weighted average calculation based on the score data in the performance questionnaire collected in advance.

13. The device according to claim 10, characterized in that The first determination module is specifically used to construct an optimization objective function for each of the energy storage type schemes according to the first energy storage parameters of each energy storage type included in the energy storage type scheme, and to find the optimal solution for the optimization objective function based on preset optimization constraints to obtain the target energy storage power and the target energy storage capacity, wherein the optimization objective function is used to characterize the net income value of power generation, and the optimization constraints are determined based on a state of charge threshold and a grid missing power threshold.

14. The device according to claim 13, characterized in that The first determining module includes: A first determining unit is used to determine, for each of the energy storage type schemes, the development cost corresponding to each energy storage type according to the energy storage power, energy storage capacity, unit power cost and unit capacity cost of each energy storage type included in the energy storage type scheme; A second determination unit is used to determine, for each of the energy storage type schemes, the operation and maintenance cost corresponding to each energy storage type according to the energy storage capacity, unit capacity cost, total number of cycles, number of cycles per unit time and power generation duration of each energy storage type included in the energy storage type scheme; The optimization unit is used to construct an optimization objective function for each of the energy storage type schemes according to the total power generation income value, development cost and operation and maintenance cost of each energy storage type included in the energy storage type scheme, and based on preset optimization constraints, the maximum net power generation income value is taken as the optimization target to find the optimal solution of the optimization objective function to obtain the target energy storage power and the target energy storage capacity.

15. A computer device, characterized in that: include: Memory; processor; and a computer program; wherein the computer program is stored in the memory and is configured to be executed by the processor to implement the method according to any one of claims 1 to 7.

16. A computer-readable storage medium, characterized in that: The storage medium stores a computer program, and when the computer program is executed by a processor, the method according to any one of claims 1 to 7 is implemented.

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