New energy station energy storage configuration method, device and readable storage medium

Abstract

The present invention provides a method, device and readable storage medium for configuring energy storage in a new energy station, wherein the method for configuring energy storage in a new energy station includes: setting N energy storage units; obtaining waste energy data in previous years; obtaining energy storage information of each energy storage unit; configuring energy storage for the N energy storage units according to the waste energy data in previous years and the energy storage information of each energy storage unit; wherein N is greater than or equal to 2. By configuring energy storage of various specifications, the investment cost is reduced, the payback period of the power station is effectively shortened, and the rate of return is improved. Compared with energy storage units of a single specification, energy storage units of various specifications can be configured according to the specific data of waste energy, thereby ensuring that energy waste is avoided at the lowest cost, thereby improving the overall revenue of the new energy station.

Description

Technical Field

[0001] The present invention relates to the field of energy storage, and in particular to a new energy station energy storage configuration method, device and readable storage medium. Background Art

[0002] Photovoltaic power stations are the infrastructure for realizing photovoltaic power generation. They use crystalline silicon panels, inverters and other electronic components to convert sunlight into electrical energy. Photovoltaic power stations are connected to the power grid and transmit electricity to it.

[0003] Photovoltaic power generation is greatly affected by light conditions and has the characteristics of randomness, volatility and intermittency. Therefore, photovoltaic power stations usually configure energy storage according to a certain ratio. For example, a 100MW photovoltaic power station configures energy storage at a ratio of 10% (duration 2h), then the energy storage capacity is 100MWh*10%*2, that is, 20MWh. This ensures that the photovoltaic power station can still smoothly transmit electricity to the grid when the light conditions are poor.

[0004] The cost of energy storage systems is relatively high, and improper configuration will reduce the overall benefits of photovoltaic power plants. Therefore, how to configure energy storage systems is currently an urgent issue to be solved. Summary of the invention

[0005] The purpose of the present invention is to provide a new energy station energy storage configuration method, device and readable storage medium.

[0006] In order to solve the above technical problems, the present invention provides a new energy station energy storage configuration method, comprising:

[0007] Set N energy storage units;

[0008] Obtain waste energy data over the years;

[0009] Obtain energy storage information of each energy storage unit;

[0010] Configure energy storage for N energy storage units based on historical waste energy data and energy storage information of each energy storage unit;

[0011] Wherein, N is greater than or equal to 2.

[0012] Furthermore, the energy storage information includes: number of cycles, charge and discharge energy retention rate and cost.

[0013] Furthermore, the calculation process of the charge and discharge energy retention rate is as follows:

[0014] Through experiments and simulations, the cell attenuation parameters of the energy storage unit within its design life, i.e., the charge and discharge energy retention rate, are obtained.

[0015] Furthermore, the step of configuring the N energy storage units according to the waste energy data of previous years and the energy storage information of each energy storage unit includes:

[0016] Set the capacities of the N energy storage units to C1…C N ,

[0017] Calculate the net income of the new energy station within the design life, the calculation formula is as follows:

[0018] Q=M*Y-(C1*P1+C2*P2+…+C N *P N )

[0019] In the formula, Q represents the net income within the design life, M represents the annual income of the new energy station, and Y represents the design life of the energy station;

[0020] P1 represents the cost per MWh of the first energy storage unit, P N represents the cost per MWh of the Nth energy storage unit;

[0021] Set the restriction condition and calculate the capacity C1…C of the energy storage unit when the Q value is maximum. N The optimal solution is obtained to complete the energy storage configuration of the energy storage unit.

[0022] Furthermore, the calculation steps for the annual revenue of the new energy station are as follows:

[0023] Based on the waste energy data of previous years, the daily energy storage capacity K can be obtained i , estimate the annual charge capacity of energy storage

[0024] The annual income of the new energy station is M=K*P, where P is the unit price of electricity.

[0025] Furthermore, the restriction conditions include:

[0026] Constraint 1: C1>0, C2>0, ..., C N >0;

[0027] Constraint 2: C1+C2+…C N =C, where C is the total capacity of the energy storage configuration;

[0028] Constraint 3: C1*H1*T1+C2*H2*T2+…+C N *H N *T N >K*Y, where H1 represents the charge-discharge energy retention rate of the first energy storage unit, H2 represents the charge-discharge energy retention rate of the second energy storage unit, and H Nrepresents the charge and discharge energy retention rate of the Nth energy storage unit, T1 represents the number of cycles of the first energy storage unit, T2 represents the number of cycles of the second energy storage unit, and T N Indicates the number of cycles of the Nth energy storage unit.

[0029] Furthermore, the new energy station is any one of photovoltaic, wind and hydropower, or a combination of two or more.

[0030] The present invention also provides a new energy station energy storage configuration device, comprising:

[0031] The energy storage module is suitable for arranging N energy storage units, wherein N is greater than or equal to 2;

[0032] Data acquisition module, suitable for obtaining waste energy data over the years;

[0033] An energy storage information input module, suitable for obtaining energy storage information of each energy storage unit;

[0034] The energy storage configuration module is suitable for configuring the energy storage of N energy storage units based on the waste energy data of previous years and the energy storage information of each energy storage unit.

[0035] The present invention also provides a computer-readable storage medium, in which at least one instruction is stored, and when at least one of the instructions is executed by a processor, the above-mentioned new energy station energy storage configuration method is implemented.

[0036] The present invention also provides an electronic device, comprising a memory and a processor;

[0037] At least one instruction is stored in the memory;

[0038] The processor implements the above-mentioned new energy station energy storage configuration method by loading and executing at least one of the instructions.

[0039] The beneficial effect of the present invention is that the present invention provides a new energy station energy storage configuration method, device and readable storage medium. By configuring energy storage of various specifications, the investment cost is reduced, the payback period of the power station is effectively shortened, and the rate of return is improved. Compared with energy storage units of a single specification, energy storage units of various specifications can be configured according to the specific data of waste energy, thereby ensuring that energy waste is avoided at the lowest cost, thereby improving the overall revenue of the new energy station. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] The present invention is further described below in conjunction with the accompanying drawings and embodiments.

[0041] Figure 1 It is a flow chart of a new energy station energy storage configuration method provided in an embodiment of the present invention.

[0042] Figure 2 This is the first energy storage configuration scenario provided by an embodiment of the present invention.

[0043] Figure 3 This is the second energy storage configuration scenario provided by the embodiment of the present invention.

[0044] Figure 4 This is the third energy storage configuration scenario provided by the embodiment of the present invention.

[0045] Figure 5 This is a partial data diagram of the light abandonment histogram provided by an embodiment of the present invention.

[0046] Figure 6 It is a principle block diagram of the new energy storage configuration device provided in an embodiment of the present invention.

[0047] Figure 7 It is a partial structural diagram of an electronic device provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0048] The present invention will now be described in further detail with reference to the accompanying drawings. These drawings are simplified schematic diagrams, which only illustrate the basic structure of the present invention in a schematic manner, and therefore only show the components related to the present invention.

[0049] Example 1

[0050] See also Figure 1 This embodiment provides a new energy station energy storage configuration method. By configuring energy storage of various specifications, the investment cost is reduced, the payback period of the power station is effectively shortened, and the rate of return is improved. Compared with energy storage units of a single specification, energy storage units of various specifications can be configured according to the specific data of waste energy, thereby ensuring that energy waste is avoided at the lowest cost, thereby improving the overall profit of the new energy station.

[0051] Specifically, the new energy station energy storage configuration method includes the following steps:

[0052] S110: Setting N energy storage units.

[0053] Specifically, the number of energy storage units is set according to actual usage requirements. It should be noted that energy storage units of the same specifications are regarded as the same energy storage unit in this application, that is, the specifications of the N energy storage units are different.

[0054] The following takes the energy storage configuration scenario of two energy storage units as an example to analyze the number of charge and discharge times of the two energy storage units.

[0055] like Figure 2As shown in the figure, if energy storage is not configured, the power generation power of the shaded part will be limited (a large amount of light will be abandoned); if energy storage is configured, the energy storage units of specification A and specification B can basically be fully charged.

[0056] like Figure 3 As shown in the figure, if energy storage is not configured, the power generation power of the shaded part will be limited (a small amount of abandoned light); if energy storage is configured, the energy storage of specification A will be idle and the energy storage of specification B will be basically full.

[0057] like Figure 4 As shown, there is no abandoned light, and the energy storage of specifications A and B are both idle.

[0058] pass Figure 2-Figure 4 In the three scenarios, during the life cycle of the new energy station, the number of charge and discharge times of energy storage of specification A is less than that of energy storage of specification B, so the two types of energy storage units can be reasonably configured. That is, the number of charge and discharge times of N energy storage units increases in sequence. When configuring energy storage, first configure the energy storage unit with a large number of charge and discharge times, and then configure the remaining energy storage units in descending order.

[0059] S120: Obtain waste energy data from previous years.

[0060] The power generation of photovoltaic power stations is usually affected by factors such as radiation, temperature, and light angle. The daily power generation varies greatly throughout the year. Through the waste energy data of previous years, the waste energy data can be predicted to improve the accuracy of energy storage configuration and ensure the benefits of new energy stations. Among them, the waste energy data refers to the abandoned light data.

[0061] S130: Obtain energy storage information of each energy storage unit.

[0062] Among them, energy storage information includes number of cycles, charge and discharge energy retention rate and cost.

[0063] The calculation process of the charge and discharge energy retention rate is as follows:

[0064] Through experiments and simulations, the cell attenuation parameters of the energy storage unit within its design life, i.e., the charge and discharge energy retention rate, are obtained.

[0065] S140: Perform energy storage configuration for N energy storage units based on historical waste energy data and energy storage information of each energy storage unit.

[0066] Wherein, step S140 includes the following steps:

[0067] S141: Set the capacities of the N energy storage units to C1…C N .

[0068] Specifically, the required capacity of N energy storage units is set as an unknown number, which is denoted as C1…C N .

[0069] S142: Calculate the net income of the new energy station within its design life. The calculation formula is as follows:

[0070] Q=M*Y-(C1*P1+C2*P2+…+C N *P N )

[0071] In the formula, Q represents the net income within the design life, M represents the annual income of the new energy station, Y represents the design life of the energy station, P1 represents the cost per MWh of the first energy storage unit, and P N Represents the cost per MWh of the Nth energy storage unit. The annual revenue calculation steps of the new energy station are as follows: Based on the waste energy data of previous years, the daily energy storage chargeable electricity K i , estimate the annual charge capacity of energy storage The annual income of the new energy station is M=K*P, where P is the unit price of electricity.

[0072] By setting restriction conditions, the optimal solution of the capacity C1…CN of the energy storage unit when the Q value is maximum is calculated, and the energy storage configuration of the energy storage unit is completed.

[0073] In this embodiment, the restriction conditions include:

[0074] Constraint 1: C1>0, C2>0, ..., C N >0;

[0075] Constraint 2: C1+C2+…C N =C, where C is the total capacity of the energy storage configuration;

[0076] Constraint 3: C1*H1*T1+C2*H2*T2+…+C N *H N *T N >K*Y, where H1 represents the charge-discharge energy retention rate of the first energy storage unit, H2 represents the charge-discharge energy retention rate of the second energy storage unit, and H N represents the charge and discharge energy retention rate of the Nth energy storage unit, T1 represents the number of cycles of the first energy storage unit, T2 represents the number of cycles of the second energy storage unit, and T N Indicates the number of cycles of the Nth energy storage unit.

[0077] In this embodiment, the new energy station is any one of photovoltaic, wind, and water power, or a combination of two or more.

[0078] Example 2

[0079] This embodiment configures the energy storage of the photovoltaic power station according to the new energy station energy storage configuration method provided in Embodiment 1.

[0080] The column chart of abandoned photovoltaic power stations last year is as follows: Figure 5 As shown, the amount of abandoned photovoltaic power in the previous year was calculated to be K = 6310MWh.

[0081] The design life of the photovoltaic power station is Y = 15 years, the total energy storage configuration capacity is C = 20MWh, and the unit price of electricity is P = 0.39 yuan / kWh.

[0082] Two energy storage units are provided, namely energy storage unit A and energy storage unit B.

[0083] Among them, the cost of energy storage unit A is P1 = 1 million yuan / MWh, the number of cycles T1 = 6000, and the charge and discharge energy retention rate is 75%. The cost of energy storage unit B is P2 = 1.2 million yuan / MWh, the number of cycles T2 = 8000, and the charge and discharge retention rate is 75%.

[0084] With the goal of maximizing the net profit within the design life of the energy storage station, the optimal solution for two specifications of energy storage capacity is calculated.

[0085] Q = 4095 - (C1*100+C2*120)

[0086] Constraint 1: C1>0, C2>0;

[0087] Constraint 2: C1+C2=20;

[0088] Constraint 3: C1*0.75*6000+C2*0.75*8000>6310*15.

[0089] MATLAB calculations show that C1 = 3.1, C2 = 16.9. After rounding, when C1 = 3, C2 = 17, the maximum value of Q is 1755. The energy storage capacity of configuration specification A is 3MWh, and the energy storage capacity of configuration specification B is 17MWh, with an estimated profit of 17.55 million yuan.

[0090] Example 3

[0091] See also Figure 6 This embodiment provides a new energy station energy storage configuration device. By configuring energy storage of various specifications, the investment cost is reduced, the payback period of the power station is effectively shortened, and the rate of return is improved. Compared with energy storage units of a single specification, energy storage units of various specifications can be configured according to the specific data of waste energy, thereby ensuring that energy waste is avoided at the lowest cost, thereby improving the overall profit of the new energy station.

[0092] In this embodiment, the new energy station energy storage configuration device includes the following modules:

[0093] The energy storage module is suitable for setting N energy storage units. Specifically, the number of energy storage units is set according to actual usage requirements.

[0094] The following takes the energy storage configuration scenario of two energy storage units as an example to analyze the number of charge and discharge times of the two energy storage units.

[0095] like Figure 2 As shown in the figure, if energy storage is not configured, the power generation power of the shaded part will be limited (a large amount of light will be abandoned); if energy storage is configured, the energy storage units of specification A and specification B can basically be fully charged.

[0096] like Figure 3 As shown in the figure, if energy storage is not configured, the power generation power of the shaded part will be limited (a small amount of abandoned light); if energy storage is configured, the energy storage of specification A will be idle and the energy storage of specification B will be basically full.

[0097] like Figure 4 As shown, there is no abandoned light, and the energy storage of specifications A and B are both idle.

[0098] pass Figure 2-Figure 4 In the three scenarios, during the life cycle of the new energy station, the number of charge and discharge times of energy storage of specification A is less than that of energy storage of specification B, so the two types of energy storage units can be reasonably configured. That is, the number of charge and discharge times of N energy storage units increases in sequence. When configuring energy storage, first configure the energy storage unit with a large number of charge and discharge times, and then configure the remaining energy storage units in descending order.

[0099] The data acquisition module is suitable for obtaining waste energy data over the years. The power generation of photovoltaic power stations is usually affected by factors such as radiation, temperature, and light angle. The daily power generation varies greatly throughout the year. Through the waste energy data of previous years, the waste energy data can be predicted to improve the accuracy of energy storage configuration and ensure the benefits of new energy stations.

[0100] The energy storage information input module is suitable for obtaining the energy storage information of each energy storage unit; wherein the energy storage information includes the number of cycles, the charge and discharge energy retention rate and the cost.

[0101] The calculation process of the charge and discharge energy retention rate is as follows:

[0102] Through experiments and simulations, the cell attenuation parameters of the energy storage unit within the design life, that is, the charge and discharge energy retention rate, are obtained.

[0103] The energy storage configuration module is suitable for performing energy storage configuration on N energy storage units based on the waste energy data of previous years and the energy storage information of each energy storage unit. Specifically, the energy storage configuration module is suitable for performing the following steps:

[0104] S141: Set the capacities of the N energy storage units to C1…C N .

[0105] Specifically, the required capacity of N energy storage units is set as an unknown number, which is denoted as C1…C N .

[0106] S142: Calculate the net income of the new energy station within its design life. The calculation formula is as follows:

[0107] Q=M*Y-(C1*P1+C2*P2+…+C N *P N )

[0108] In the formula, Q represents the net income within the design life, M represents the annual income of the new energy station, Y represents the design life of the energy station, P1 represents the cost per MWh of the first energy storage unit, and P N Represents the cost per MWh of the Nth energy storage unit. The annual revenue calculation steps of the new energy station are as follows: Based on the waste energy data of previous years, the daily energy storage chargeable electricity K i , estimate the annual charge capacity of energy storage The annual income of the new energy station is M=K*P, where P is the unit price of electricity.

[0109] By setting restriction conditions, the optimal solution of the capacity C1…CN of the energy storage unit when the Q value is maximum is calculated, and the energy storage configuration of the energy storage unit is completed.

[0110] In this embodiment, the restriction conditions include:

[0111] Constraint 1: C1>0, C2>0, ..., C N >0;

[0112] Constraint 2: C1+C2+…C N =C, where C is the total capacity of the energy storage configuration;

[0113] Constraint 3: C1*H1*T1+C2*H2*T2+…+C N *H N *T N >K*Y, where H1 represents the charge-discharge energy retention rate of the first energy storage unit, H2 represents the charge-discharge energy retention rate of the second energy storage unit, and H N represents the charge and discharge energy retention rate of the Nth energy storage unit, T1 represents the number of cycles of the first energy storage unit, T2 represents the number of cycles of the second energy storage unit, and T N Indicates the number of cycles of the Nth energy storage unit.

[0114] In this embodiment, the new energy station is any one of photovoltaic, wind, and water power, or a combination of two or more.

[0115] Example 4

[0116] This embodiment provides a computer-readable storage medium, in which at least one instruction is stored. When the instruction is executed by a processor, the new energy station energy storage configuration method provided in Embodiment 1 is implemented.

[0117] The energy storage configuration method of the new energy station reduces investment costs, effectively shortens the payback period of the power station, and improves the rate of return by configuring energy storage of various specifications. Compared with energy storage units of a single specification, energy storage units of various specifications can be configured according to the specific data of waste energy, thereby ensuring that energy waste is avoided at the lowest cost, thereby improving the overall revenue of the new energy station.

[0118] Example 5

[0119] See also Figure 7 This embodiment provides an electronic device, including: a memory 502 and a processor 501; the memory 502 stores at least one program instruction; the processor 501 loads and executes the at least one program instruction to implement the new energy station energy storage configuration method provided in Example 1.

[0120] The memory 502 and the processor 501 are connected in a bus manner, and the bus may include any number of interconnected buses and bridges, and the bus connects various circuits of one or more processors 501 and the memory 502 together. The bus can also connect various other circuits such as peripheral devices, voltage regulators, and power management circuits, which are well known in the art and are therefore not further described herein. The bus interface provides an interface between the bus and the transceiver. The transceiver can be one element or multiple elements, such as multiple receivers and transmitters, providing a unit for communicating with various other devices on a transmission medium. The data processed by the processor 501 is transmitted on a wireless medium via an antenna, and further, the antenna also receives data and transmits the data to the processor 501.

[0121] The processor 501 is responsible for managing the bus and general processing, and can also provide various functions, including timing, peripheral interfaces, voltage regulation, power management and other control functions. The memory 502 can be used to store data used by the processor 501 when performing operations.

[0122] In summary, the present invention provides a method, device and readable storage medium for configuring energy storage in a new energy station, wherein the method for configuring energy storage in a new energy station includes: setting N energy storage units; obtaining waste energy data in previous years; obtaining energy storage information of each energy storage unit; configuring energy storage for the N energy storage units according to the waste energy data in previous years and the energy storage information of each energy storage unit; wherein N is greater than or equal to 2. By configuring energy storage of various specifications, the investment cost is reduced, the payback period of the power station is effectively shortened, and the rate of return is improved. Compared with energy storage units of a single specification, energy storage units of various specifications can be configured according to the specific data of waste energy, thereby ensuring that energy waste is avoided at the lowest cost, thereby improving the overall revenue of the new energy station.

[0123] All devices (parts without specific structure) selected in this application are universal standard parts or parts known to those skilled in the art, and their structures and principles are known to those skilled in the art through technical manuals or conventional experimental methods. In addition, the software programs involved in this application are all prior art, and this application does not involve any improvement to the software programs.

[0124] In the description of the embodiments of the present invention, unless otherwise clearly specified and limited, the terms "installed", "connected", and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection or an indirect connection through an intermediate medium, or it can be the internal communication of two components. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0125] In the description of the present invention, it should be noted that the terms "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inner", "outer", etc., indicating the orientation or positional relationship, are based on the orientation or positional relationship shown in the drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as limiting the present invention. In addition, the terms "first", "second", and "third" are used for descriptive purposes only, and cannot be understood as indicating or implying relative importance.

[0126] In the several embodiments provided in the present application, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. The device embodiments described above are merely schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some communication interfaces, and the indirect coupling or communication connection of devices or units can be electrical, mechanical or other forms.

[0127] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0128] In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.

[0129] Based on the above ideal embodiments of the present invention, the relevant staff can make various changes and modifications without departing from the technical concept of the present invention through the above description. The technical scope of the present invention is not limited to the contents of the specification, and its technical scope must be determined according to the scope of the claims.

Claims

1. A method for configuring energy storage in a new energy station, characterized in that: include: Set N energy storage units; Obtain waste energy data over the years; Obtain energy storage information of each energy storage unit; Configure the N energy storage units based on the waste energy data of previous years and the energy storage information of each energy storage unit; Wherein, N is greater than or equal to 2; The energy storage information includes: number of cycles, charge and discharge energy retention rate and cost; The steps of configuring N energy storage units based on the waste energy data of previous years and the energy storage information of each energy storage unit include: Set the capacities of the N energy storage units to C1…C N , Calculate the net income of the new energy station within the design life, the calculation formula is as follows: Q=M*Y-(C1*P1+C2*P2+…+C N *P N ) In the formula, Q represents the net income within the design life, M represents the annual income of the new energy station, and Y represents the design life of the energy station; P1 represents the cost per MWh of the first energy storage unit, P N represents the cost per MWh of the Nth energy storage unit; Set the restriction condition and calculate the capacity C1…C of the energy storage unit when the Q value is maximum. N The optimal solution is obtained to complete the energy storage configuration of the energy storage unit; The steps for calculating the annual revenue of a new energy station are as follows: Based on the waste energy data of previous years, the daily energy storage capacity K can be obtained i , estimate the annual charge capacity of energy storage The annual income of the new energy station is M = K*P, where P is the unit price of electricity sold; The restrictions include: Constraint 1: C1>0, C2>0, ..., C N >0; Constraint 2: C1+C2+…C N =C, where C is the total capacity of the energy storage configuration; Constraint 3: C1*H1*T1+C2*H2*T2+…+C N *H N *T N >K*Y, where H1 represents the charge-discharge energy retention rate of the first energy storage unit, H2 represents the charge-discharge energy retention rate of the second energy storage unit, and H N represents the charge and discharge energy retention rate of the Nth energy storage unit, T1 represents the number of cycles of the first energy storage unit, T2 represents the number of cycles of the second energy storage unit, and T N Indicates the number of cycles of the Nth energy storage unit.

2. The method for configuring energy storage in a new energy station according to claim 1, characterized in that: The calculation process of the charge and discharge energy retention rate is as follows: The cell attenuation parameters of the energy storage unit within its design life, i.e., the charge and discharge energy retention rate, are obtained through experiments and simulations.

3. The energy storage configuration method of a new energy station according to claim 1, characterized in that: The new energy station is any one of photovoltaic, wind and water power, or a combination of two or more.

4. A new energy station energy storage configuration device, characterized in that: include: An energy storage module, suitable for arranging N energy storage units; Data acquisition module, suitable for obtaining waste energy data over the years; An energy storage information input module, suitable for obtaining energy storage information of each energy storage unit; The energy storage configuration module is suitable for configuring the energy storage of N energy storage units based on the waste energy data of previous years and the energy storage information of each energy storage unit; The step of configuring the N energy storage units according to the waste energy data of previous years and the energy storage information of each energy storage unit includes: Set the capacities of N energy storage units to C1…CN respectively, Calculate the net income of the new energy station within the design life, the calculation formula is as follows: Q=M*Y-(C1*P1+C2*P2+…+C N *P N ) In the formula, Q represents the net income within the design life, M represents the annual income of the new energy station, and Y represents the design life of the energy station; P1 represents the cost per MWh of the first energy storage unit, P N represents the cost per MWh of the Nth energy storage unit; Set the restriction condition and calculate the capacity C1…C of the energy storage unit when the Q value is maximum. N The optimal solution is obtained to complete the energy storage configuration of the energy storage unit; The steps for calculating the annual revenue of a new energy station are as follows: Based on the waste energy data of previous years, the daily energy storage capacity K can be obtained i , estimate the annual charge capacity of energy storage The annual income of the new energy station is M = K*P, where P is the unit price of electricity sold; The restrictions include: Constraint 1: C1>0, C2>0, ..., C N >0; Constraint 2: C1+C2+…C N =C, where C is the total capacity of the energy storage configuration; Constraint 3: C1*H1*T1+C2*H2*T2+…+C N *H N *T N >K*Y, where H1 represents the charge-discharge energy retention rate of the first energy storage unit, H2 represents the charge-discharge energy retention rate of the second energy storage unit, and H N represents the charge and discharge energy retention rate of the Nth energy storage unit, T1 represents the number of cycles of the first energy storage unit, T2 represents the number of cycles of the second energy storage unit, and T N Indicates the number of cycles of the Nth energy storage unit.

5. A computer-readable storage medium, wherein at least one instruction is stored in the computer-readable storage medium, characterized in that: When at least one of the instructions is executed by a processor, the new energy station energy storage configuration method described in any one of claims 1-3 is implemented.

6. An electronic device, characterized in that: including memory and processor; At least one instruction is stored in the memory; The processor implements the new energy station energy storage configuration method described in any one of claims 1-3 by loading and executing at least one of the instructions.

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