Sodium-ion battery multi-energy complementary mode-based capacity configuration method and device

Abstract

The invention discloses a capacity configuration method and device based on a sodium ion battery multi-energy complementary mode, and the method comprises the steps: determining a power component needing to be stabilized of a hybrid energy storage system, decomposing the power component into a high-frequency component and a low-frequency component, and enabling the hybrid energy storage system to comprise a sodium ion battery, a hydrogen energy storage subsystem and a heat energy storage subsystem; according to the high-frequency component stabilizing characteristic of the sodium ion battery and the low-frequency component stabilizing characteristic of the hydrogen energy storage subsystem and the heat energy storage subsystem, a capacity optimization configuration model is established by taking net profit maximization of the hybrid energy storage system as a target; and solving the capacity optimization configuration model to obtain the optimal configuration capacity of each device in the hybrid energy storage system, wherein the optimal configuration capacity enables the net profit of the hybrid energy storage system to be maximized. Frequency response and power adjustment can be provided for a novel multi-energy complementary power system, and safe and stable operation of the system is achieved.

Description

Technical Field

[0001] The present invention relates to the technical field of sodium ion batteries, and in particular to a capacity configuration method and device based on a sodium ion battery multi-energy complementary mode. Background Art

[0002] At present, building a new power system requires promoting the diversified development of new energy storage, promoting the development of various energy storage forms such as thermal energy storage, hydrogen energy storage, and electrochemical energy storage, and actively developing source-grid-load-storage integration and multi-energy complementarity. In view of the power and frequency fluctuations caused by the large-scale random and volatile new energy grid connection, it is of great significance to comprehensively consider energy-type energy storage methods such as thermal energy storage and hydrogen energy storage, as well as power-type energy storage methods such as sodium-ion battery energy storage, and provide frequency response and power adjustment for the new power system with multi-energy complementarity through capacity configuration to meet the requirements of safe and stable operation of the system. Summary of the invention

[0003] The present invention aims to solve the technical problems in the related art at least to a certain extent. To this end, the first purpose of the present invention is to provide a capacity configuration method based on the multi-energy complementary mode of sodium ion batteries, which can realize the capacity configuration of each hybrid energy storage device in the multi-energy complementary system, and then provide frequency response and power adjustment for the new multi-energy complementary power system, so as to realize safe and stable operation of the system.

[0004] The second object of the present invention is to provide a capacity configuration device based on the multi-energy complementary mode of sodium ion batteries.

[0005] A third object of the present invention is to provide a computer-readable storage medium.

[0006] A fourth object of the present invention is to provide an electronic device.

[0007] To achieve the above object, the present invention is implemented through the following technical solutions:

[0008] A capacity configuration method based on a sodium ion battery multi-energy complementary mode, comprising:

[0009] Determine a power component that needs to be smoothed by a hybrid energy storage system, and decompose the power component into a high-frequency component and a low-frequency component, wherein the hybrid energy storage system includes a sodium-ion battery, a hydrogen energy storage subsystem, and a thermal energy storage subsystem;

[0010] Based on the characteristics of sodium-ion batteries in smoothing high-frequency components and the characteristics of hydrogen energy storage subsystems and thermal energy storage subsystems in smoothing low-frequency components, a capacity optimization configuration model is established with the goal of maximizing the net profit of the hybrid energy storage system.

[0011] The capacity optimization configuration model is solved to obtain the optimal configuration capacity of each device in the hybrid energy storage system that maximizes the net profit of the hybrid energy storage system; wherein, each device in the hybrid energy storage system includes a sodium ion battery, a water electrolysis hydrogen production device and a hydrogen fuel cell belonging to the hydrogen energy storage subsystem, and an electric heating station and a thermal power generation device belonging to the thermal energy storage subsystem.

[0012] Preferably, the objective function of the capacity optimization configuration model is expressed as follows:

[0013] maxF=IC cap -C op -C dep -C cir

[0014] Among them, max is the maximum value function, F is the system net profit, I is the system total income, C cap is the system investment cost, C op is the system operating cost, C dep is the system depreciation cost, C cir The penalty cost of the system is a hybrid energy storage system.

[0015] Preferably, the total revenue of the system includes revenue from hydrogen sales, revenue from heat sales and revenue from frequency regulation.

[0016] Preferably, the constraints of the capacity optimization configuration model include: system power balance constraints, sodium ion battery constraints, hydrogen energy storage constraints and thermal energy storage constraints.

[0017] Preferably, the sodium ion battery constraints include charge and discharge range constraints, charge and discharge state constraints, charge state constraints, battery life constraints and thermal power constraints.

[0018] Preferably, the hydrogen energy storage constraints include hydrogen thermal efficiency constraints, hydrogen power range constraints, hydrogen energy storage operating state constraints, hydrogen storage constraints and hydrogen sales constraints.

[0019] Preferably, the thermal energy storage constraints include thermal power range constraints, thermal energy storage state constraints, thermal storage capacity constraints and heat sales capacity constraints.

[0020] To achieve the above object, the second aspect of the present invention provides a capacity configuration device based on a sodium ion battery multi-energy complementary mode, comprising:

[0021] A decomposition module, used to determine a power component that needs to be smoothed by a hybrid energy storage system, and decompose the power component into a high-frequency component and a low-frequency component, wherein the hybrid energy storage system includes a sodium-ion battery, a hydrogen energy storage subsystem, and a thermal energy storage subsystem;

[0022] A construction module is used to establish a capacity optimization configuration model with the goal of maximizing the net profit of the hybrid energy storage system based on the characteristics of the sodium-ion battery smoothing high-frequency components and the characteristics of the hydrogen energy storage subsystem and the thermal energy storage subsystem smoothing low-frequency components;

[0023] A solution module is used to solve the capacity optimization configuration model to obtain the optimal configuration capacity of each device in the hybrid energy storage system that maximizes the net profit of the hybrid energy storage system; wherein each device in the hybrid energy storage system includes a sodium ion battery, a water electrolysis hydrogen production device and a hydrogen fuel cell belonging to the hydrogen energy storage subsystem, and an electric heating station and a thermal power generation device belonging to the thermal energy storage subsystem.

[0024] To achieve the above-mentioned purpose, the third aspect of the present invention provides a computer-readable storage medium on which a computer program is stored. When the computer program is executed by a processor, the capacity configuration method based on the multi-energy complementary mode of sodium ion batteries described above is implemented.

[0025] To achieve the above-mentioned purpose, the fourth aspect of the present invention provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the capacity configuration method based on the multi-energy complementary mode of sodium ion batteries described above is implemented.

[0026] The present invention has at least the following technical effects:

[0027] (1) The present invention forms an electric-thermal-hydrogen multi-energy complementary network by introducing sodium ion batteries, hydrogen energy storage and thermal energy storage into the new power system. The high-frequency power component is smoothed based on the rapid response characteristics of sodium ion batteries, and the low-frequency power component is smoothed based on the characteristics of hydrogen energy storage and thermal energy storage, which have large energy storage capacity but slow response speed, thereby achieving frequency adjustment and improving the utilization rate of new energy. The participation of multi-energy advantages in frequency response and power adjustment of the new power system can effectively enhance the active support capability of new energy for the safety and stability of the new power system.

[0028] (2) The present invention fully considers the problem that the sodium ion cycle life will decay with the increase of the number of cycles in the capacity optimization configuration model, and establishes battery life constraints by considering the sodium ion charge state to ensure that the sodium ion battery can fully exert its effectiveness while improving its service life.

[0029] (3) The present invention comprehensively considers the heat generation problem of sodium ion batteries and hydrogen energy storage subsystems, and combines the heat generated by the two energy storage forms with thermal energy storage to improve the overall energy utilization rate of the multi-energy complementary system. The generated thermal energy can not only be used to adjust the frequency and smooth the power of the system through thermal power generation devices, but also sell heat to upstream and downstream industries, thereby improving the overall economic benefits of the system.

[0030] Additional aspects and advantages of the present invention will be given in part in the following description and in part will be obvious from the following description, or will be learned through practice of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] Figure 1 The present invention is a flowchart of a method for configuring the capacity of a sodium-ion battery in a multi-energy complementary mode according to an embodiment of the present invention.

[0032] Figure 2 This is a framework diagram of the sodium ion battery multi-energy complementary system according to an embodiment of the present invention. DETAILED DESCRIPTION

[0033] The present embodiment is described in detail below, and examples of the embodiment are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are intended to be used to explain the present invention, and should not be construed as limiting the present invention.

[0034] The capacity configuration method and device based on the multi-energy complementary mode of sodium ion batteries of this embodiment are described below with reference to the accompanying drawings.

[0035] Figure 1 FIG. 1 is a flow chart of a capacity configuration method based on a sodium ion battery multi-energy complementary mode according to an embodiment of the present invention. Figure 1 As shown, the method includes:

[0036] Step S101: determine the power component that needs to be smoothed by the hybrid energy storage system, and decompose the power component into a high-frequency component and a low-frequency component, the hybrid energy storage system includes a sodium-ion battery, a hydrogen energy storage subsystem and a thermal energy storage subsystem.

[0037] Step S102: Based on the high-frequency component smoothing characteristics of the sodium-ion battery and the low-frequency component smoothing characteristics of the hydrogen energy storage subsystem and the thermal energy storage subsystem, a capacity optimization configuration model is established with the goal of maximizing the net profit of the hybrid energy storage system.

[0038] Step S103: Solve the capacity optimization configuration model to obtain the optimal configuration capacity of each device in the hybrid energy storage system that maximizes the net profit of the hybrid energy storage system; wherein each device in the hybrid energy storage system includes a sodium ion battery, a water electrolysis hydrogen production device and a hydrogen fuel cell belonging to the hydrogen energy storage subsystem, and an electric heating station and a thermal power generation device belonging to the thermal energy storage subsystem.

[0039] The capacity configuration method based on the sodium ion battery multi-energy complementary mode of this embodiment is applied to a multi-energy complementary system, which includes a thermal power unit that can be directly connected to the grid, a new energy power generation unit, and a hybrid energy storage system. Figure 2The shown includes sodium ion batteries, water electrolysis hydrogen production devices, hydrogen fuel cells, high-pressure hydrogen storage tanks, electric heating stations, thermal power generation devices and thermal storage tanks, among which the water electrolysis hydrogen production devices, hydrogen fuel cells and high-pressure hydrogen storage tanks belong to the hydrogen energy storage subsystem, and the electric heating station, thermal power generation devices and thermal storage tanks belong to the thermal energy storage subsystem.

[0040] Taking into account the frequency response speed and frequency regulation dead zone limitations of thermal power units and new energy power units, the unbalanced power caused by source-load differences in the new power system is smoothed by energy storage systems with smaller dead zone ranges and faster response speeds.

[0041] Among them, firstly, based on the empirical mode decomposition algorithm, the source-load imbalance power signal can be decomposed into a direct grid-connected component and a hybrid energy storage task, that is, a power component that the hybrid energy storage system needs to smooth. It should be noted that the above-mentioned empirical mode decomposition algorithm has a better effect, and the intelligent algorithm can also be other algorithms, which is not limited in this embodiment.

[0042] The hybrid energy storage task can be decomposed into high-frequency components and low-frequency components through filters. Based on the rapid response characteristics of sodium-ion batteries, the high-frequency power components are smoothed, and based on the characteristics of large energy storage capacity but slow response speed of hydrogen energy storage subsystems and thermal energy storage subsystems, the low-frequency power components are smoothed. Therefore, based on these characteristics, a capacity optimization configuration model can be established with the goal of maximizing the net profit of the hybrid energy storage system.

[0043] The objective function of the capacity optimization configuration model is expressed as follows:

[0044] max F=IC cap -C op -C dep -C cir (1)

[0045] Among them, max is the maximum value function, F is the system net profit, I is the system total income, C cap is the system investment cost, C op is the system operating cost, C dep is the system depreciation cost, C cir The penalty cost of the system is a hybrid energy storage system.

[0046] Among them, the total system revenue I includes three parts: hydrogen sales revenue, heat sales revenue and frequency regulation revenue:

[0047]

[0048] Among them, λ H , Q , f are the hydrogen sales revenue coefficient, heat sales revenue coefficient and frequency modulation revenue coefficient, respectively, H(t) is the total hydrogen mass sold during the period t, h Q (t) is the total heat sales power in period t, P B (t), P EL (t), P FC (t), P SQ (t), P GQ (t) are the frequency modulation powers of the sodium ion battery, water electrolysis hydrogen production device, hydrogen fuel cell, electric heating station and thermal power generation device in time period t, that is, the equipment working power, T is the system operating time, and Δt is the discretization time interval.

[0049] Among them, the system investment cost is:

[0050]

[0051] Among them, C cap,z , z = 1, 2, 3 are the investment costs of sodium ion batteries, hydrogen energy storage subsystems and thermal energy storage subsystems respectively, r is the system discount rate, m is the system operation life, and the specific calculation method of investment cost is as follows:

[0052]

[0053] Among them, λ B , EL , FC , HT , SQ , GQ , QT are the unit investment costs of sodium ion batteries, water electrolysis hydrogen production equipment, hydrogen fuel cells, high-pressure hydrogen storage tanks, electric heating stations, thermal power generation equipment and thermal storage tanks, respectively. B , C EL , C FC , C HT , C SQ , C GQ , C QT They are the investment capacities of sodium-ion batteries, water electrolysis hydrogen production equipment, hydrogen fuel cells, high-pressure hydrogen storage tanks, electric heating stations, thermal power generation equipment and thermal storage tanks.

[0054] The system operation cost is:

[0055]

[0056] Among them, c B 、c EL 、c FC 、c SQ 、c GQ They are the unit operating costs of sodium-ion batteries, water electrolysis hydrogen production devices, hydrogen fuel cells, electric heating stations and thermal power generation devices.

[0057] Among them, the system depreciation cost is:

[0058]

[0059] Among them, R is the residual value coefficient, which is 10%.

[0060] Among them, the system penalty cost is:

[0061]

[0062] Among them, λ cir is the unit penalty cost, P loss (t) is the unsuppressed power during the period t.

[0063] Among them, the constraints include: system power balance constraints, sodium-ion battery constraints, hydrogen energy storage constraints, and thermal energy storage constraints.

[0064] Among them, the system power balance means that the output of the system's traditional synchronous units, the output of wind turbines, and the output of the multi-energy complementary system must be equal to the sum of the system load and network losses. Without considering the system network losses, the system power balance constraint is:

[0065]

[0066] Among them, the system unbalanced power can be decomposed into high-frequency components ΔP by empirical mode decomposition algorithm: high (t) and low-frequency component ΔP low (t), so correspondingly, the high-frequency component and low-frequency component of the power that the system does not suppress are P loss.high (t) and P loss.low (t).

[0067] Among them, the constraints of sodium-ion batteries include charging and discharging range constraints, charging and discharging state constraints, state of charge constraints, battery life constraints and thermal power constraints.

[0068] Among them, the constraints of the charging and discharging range of sodium ion batteries are:

[0069]

[0070] Among them, P B.ch (t), P B.dis (t) are the charging and discharging power of the sodium ion battery in time period t, u B.ch (t),u B.dis (t) are the sodium ion battery switch variables in the t period, respectively representing the sodium ion battery charge and discharge state variables, u B.ch When (t) = 1, it means that the sodium ion battery is in the charging state, u B.disWhen (t) = 1, it means that the sodium ion battery is in a discharge state.

[0071] Among them, the sodium ion battery cannot be in the charging or discharging state at the same time, and the charging and discharging state constraints are:

[0072] u B.ch (t)+u B.dis (t)≤1 (10)

[0073] Among them, the state of charge represents the percentage of available energy storage in the energy storage device to the total energy storage. It is one of the most important states in the energy storage management system and can provide an important reference for the safety management and charge and discharge control of the energy storage device. In order to avoid excessive charge and discharge of sodium-ion batteries and significantly improve the operating performance and service life, the battery state of charge constraints are:

[0074]

[0075] SOC B.min ≤SOC B (t)≤SOC B.max (12)

[0076] Among them, SOC B (t) is the state of charge of the sodium ion battery during period t, SOC B (t-1) is the state of charge of the sodium ion battery during the t-1 period, η B The working efficiency of sodium-ion batteries, SOC B.max and SOC B.min are the maximum and minimum state of charge of the sodium ion battery.

[0077] Among them, sodium-ion batteries have flexible adjustment capabilities, but frequent charging and discharging of batteries will accelerate life loss. Because when optimizing energy storage configuration, it is necessary to consider the impact of battery cycle times on life. In order to ensure that the actual battery life can reach the expected service life, the battery life constraint conditions are:

[0078]

[0079] Among them, T B is the planned service life of the sodium-ion battery, T cyc is the battery cycle life obtained by the equivalent daily cycle number, N0 is the number of cycles when the battery is charged and discharged at 100% discharge depth, N eq is the equivalent full cycle number of the battery per day, n eq (t) is the actual discharge depth D during period t cyc (t) The corresponding number of cycles is converted to the equivalent number of cycles at 100% discharge depth, and w is the life index coefficient.

[0080] Among them, the thermal power constraint of sodium ion battery is:

[0081]

[0082] Among them, h B (t) is the thermal power of the sodium ion battery during period t.

[0083] Among them, hydrogen energy storage constraints include hydrogen thermal efficiency constraints, hydrogen power range constraints, hydrogen energy storage operation status constraints, hydrogen storage constraints and hydrogen sales constraints.

[0084] Among them, the hydrogen thermal efficiency constraints include the thermal efficiency constraints of the water electrolysis hydrogen production device and the thermal efficiency constraints of the hydrogen fuel cell, which are expressed as follows:

[0085] h EL (t) = (1-η EL ) EL (t) (15)

[0086]

[0087] Among them, h EL (t), h FC (t) are the thermal power of the water electrolysis hydrogen production device and the thermal power of the hydrogen fuel cell during period t, η EL , η FC They are the working efficiency of the water electrolysis hydrogen production device and the hydrogen fuel cell respectively.

[0088] Among them, the hydrogen power range constraints include:

[0089]

[0090] Among them, u EL (t),u FC (t) is the switch variable of the water electrolysis hydrogen production device and the hydrogen fuel cell during the period t, u EL (t),u FC When (t) is 1, it means the water electrolysis hydrogen production device and hydrogen fuel cell are in the on state, u EL (t),u FC When (t) is 0, it means that the water electrolysis hydrogen production device and the hydrogen fuel cell are in the shutdown state.

[0091] Among them, in order to maximize the working efficiency of the multi-energy complementary system, the water electrolysis hydrogen production device and the hydrogen fuel cell cannot operate at the same time. The operating state constraints of the hydrogen energy storage are:

[0092] u EL (t)+u FC (t)≤1 (18)

[0093] The hydrogen state coefficient in the high-pressure hydrogen storage tank is defined as the ratio of the remaining hydrogen storage in the tank to the rated hydrogen storage, and the hydrogen storage constraint is:

[0094]

[0095] SOH min ≤SOH(t)≤SOH max (20)

[0096] Among them, SOH(t) is the hydrogen state coefficient of period t, SOH(t-1) is the hydrogen state coefficient of period t-1, HHV is the higher heating value of hydrogen, SOH max and SOH min are the maximum and minimum values ​​of the hydrogen state coefficient.

[0097] Among them, due to the restrictions of hydrogen sales tools, the quality of hydrogen sales must be lower than the planned quality of hydrogen sales, and the constraints on hydrogen sales volume are:

[0098] 0≤m H (t)≤m H.max (twenty one)

[0099] Among them, m H.max To plan the maximum hydrogen sales quality.

[0100] Among them, thermal energy storage constraints include thermal power range constraints, thermal energy storage state constraints, thermal storage constraints and heat sales constraints.

[0101] Among them, the thermal power range constraints include:

[0102]

[0103] Among them, u SQ (t),u GQ (t) is the switch variable of the electric heating station and thermal power generation device during the period t, u SQ (t),u GQ When (t) is 1, it means that the electric heating station and thermal power generation device are in the start-up state, u SQ (t),u GQ When (t) is 0, it means that the electric heating station and the thermal power generation device are in the shutdown state.

[0104] In order to maximize the working efficiency of the multi-energy complementary system, the electric heating station and the thermal power generation device cannot operate at the same time, and the thermal energy storage state constraint is:

[0105] u SQ (t)+u GQ (t)≤1 (23)

[0106] The thermal state coefficient in the heat storage tank is defined as the ratio of the remaining heat storage in the heat storage tank to the rated heat storage, and the heat storage constraint is:

[0107]

[0108] SOQ min ≤SOQ(t)≤SOQ max (25)

[0109] Among them, SOQ(t) is the thermal state coefficient of period t, SOQ(t-1) is the thermal state coefficient of period t-1, η SQ , η GQ are the working efficiency of the electric heating station and the thermal power generation device, SOQ max and SOQ min are the maximum and minimum values ​​of the thermal state coefficient.

[0110] Among them, due to the limitation of heat selling tools, the heat selling power must be lower than the planned heat selling power, and the heat selling power constraint condition is:

[0111] 0≤h Q (t)≤h max (26)

[0112] Among them, h max To plan the maximum heat sales power.

[0113] Therefore, the objective function of the capacity optimization configuration model can be solved based on the above constraints to obtain the optimal capacity configuration scheme for each device in the hybrid energy storage system that maximizes the net profit F of the hybrid energy storage system. The variables to be solved are the equipment power and the switch variables in the above formula, that is, the capacity configuration combination scheme that maximizes the net profit F is obtained.

[0114] Furthermore, the present invention also provides a capacity configuration device based on the multi-energy complementary mode of sodium ion batteries, comprising a decomposition module, a construction module and a solution module connected in sequence. The decomposition module is used to determine the power component that needs to be smoothed by the hybrid energy storage system, and decompose the power component into high-frequency components and low-frequency components, and the hybrid energy storage system includes sodium ion batteries, hydrogen energy storage subsystems and thermal energy storage subsystems. The construction module is used to establish a capacity optimization configuration model based on the characteristics of the sodium ion battery smoothing high-frequency components and the characteristics of the hydrogen energy storage subsystem and the thermal energy storage subsystem smoothing low-frequency components, with the goal of maximizing the net profit of the hybrid energy storage system. The solution module is used to solve the capacity optimization configuration model to obtain the optimal configuration capacity of each device in the hybrid energy storage system that maximizes the net profit of the hybrid energy storage system; wherein, each device in the hybrid energy storage system includes a sodium ion battery, a water electrolysis hydrogen production device and a hydrogen fuel cell belonging to the hydrogen energy storage subsystem, and an electric heating station and a thermal power generation device belonging to the thermal energy storage subsystem.

[0115] It should be noted that the specific implementation of the capacity configuration device based on the multi-energy complementary mode of sodium ion batteries in this embodiment can refer to the specific implementation of the capacity configuration method based on the multi-energy complementary mode of sodium ion batteries mentioned above. To avoid redundancy, it will not be repeated here.

[0116] Furthermore, the present invention also provides a computer-readable storage medium having a computer program stored thereon, and when the computer program is executed by a processor, the above-mentioned capacity configuration method based on the multi-energy complementary mode of sodium-ion batteries is implemented.

[0117] Furthermore, the present invention also provides an electronic device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the capacity configuration method based on the multi-energy complementary mode of sodium ion batteries described above is implemented.

[0118] It should be noted that, in this article, relational terms such as first and second, etc. 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 terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, the elements defined by the sentence "comprise a ..." do not exclude the existence of other identical elements in the process, method, article or device including the elements.

[0119] Although the content of the present invention has been described in detail through the above preferred embodiments, it should be appreciated that the above description should not be considered as a limitation of the present invention. After reading the above content, it will be apparent to those skilled in the art that various modifications and substitutions of the present invention will occur. Therefore, the protection scope of the present invention should be limited by the appended claims.

Claims

1. A capacity configuration method based on a sodium ion battery multi-energy complementary mode, characterized in that: include: Determine a power component that needs to be smoothed by a hybrid energy storage system, and decompose the power component into a high-frequency component and a low-frequency component, wherein the hybrid energy storage system includes a sodium-ion battery, a hydrogen energy storage subsystem, and a thermal energy storage subsystem; Based on the characteristics of sodium-ion batteries in smoothing high-frequency components and the characteristics of hydrogen energy storage subsystems and thermal energy storage subsystems in smoothing low-frequency components, a capacity optimization configuration model is established with the goal of maximizing the net profit of the hybrid energy storage system. The capacity optimization configuration model is solved to obtain the optimal configuration capacity of each device in the hybrid energy storage system that maximizes the net profit of the hybrid energy storage system; wherein, each device in the hybrid energy storage system includes a sodium ion battery, a water electrolysis hydrogen production device and a hydrogen fuel cell belonging to the hydrogen energy storage subsystem, and an electric heating station and a thermal power generation device belonging to the thermal energy storage subsystem.

2. The capacity configuration method based on the multi-energy complementary mode of sodium ion batteries according to claim 1, characterized in that: The objective function of the capacity optimization configuration model is expressed as follows: maxF=I-C cap -C op -C dep -C cir Among them, max is the maximum value function, F is the system net profit, I is the system total income, C cap is the system investment cost, C op is the system operating cost, C dep is the system depreciation cost, C cir The penalty cost of the system is a hybrid energy storage system.

3. The capacity configuration method based on the multi-energy complementary mode of sodium ion batteries according to claim 2, characterized in that: The total revenue of the system includes revenue from hydrogen sales, revenue from heat sales and revenue from frequency regulation.

4. The capacity configuration method based on the multi-energy complementary mode of sodium ion batteries according to any one of claims 1 to 3, characterized in that: The constraints of the capacity optimization configuration model include: system power balance constraints, sodium ion battery constraints, hydrogen energy storage constraints and thermal energy storage constraints.

5. The capacity configuration method based on the multi-energy complementary mode of sodium ion batteries according to claim 4, characterized in that: The sodium ion battery constraints include charge and discharge range constraints, charge and discharge state constraints, charge state constraints, battery life constraints and thermal power constraints.

6. The capacity configuration method based on the multi-energy complementary mode of sodium ion batteries according to claim 4, characterized in that: The hydrogen energy storage constraints include hydrogen thermal efficiency constraints, hydrogen power range constraints, hydrogen energy storage operation state constraints, hydrogen storage constraints and hydrogen sales constraints.

7. The capacity configuration method based on the multi-energy complementary mode of sodium ion batteries according to claim 4, characterized in that: The thermal energy storage constraints include thermal power range constraints, thermal energy storage state constraints, thermal storage capacity constraints and heat sales capacity constraints.

8. A capacity configuration device based on a sodium ion battery multi-energy complementary mode, characterized in that: include: A decomposition module, used to determine a power component that needs to be smoothed by a hybrid energy storage system, and decompose the power component into a high-frequency component and a low-frequency component, wherein the hybrid energy storage system includes a sodium-ion battery, a hydrogen energy storage subsystem, and a thermal energy storage subsystem; A construction module is used to establish a capacity optimization configuration model with the goal of maximizing the net profit of the hybrid energy storage system based on the characteristics of the sodium-ion battery smoothing high-frequency components and the characteristics of the hydrogen energy storage subsystem and the thermal energy storage subsystem smoothing low-frequency components; A solution module is used to solve the capacity optimization configuration model to obtain the optimal configuration capacity of each device in the hybrid energy storage system that maximizes the net profit of the hybrid energy storage system; wherein each device in the hybrid energy storage system includes a sodium ion battery, a water electrolysis hydrogen production device and a hydrogen fuel cell belonging to the hydrogen energy storage subsystem, and an electric heating station and a thermal power generation device belonging to the thermal energy storage subsystem.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the capacity configuration method based on the multi-energy complementary mode of a sodium ion battery as described in any one of claims 1 to 7 is implemented.

10. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein: When the processor executes the computer program, it implements the capacity configuration method based on the sodium ion battery multi-energy complementary mode as described in any one of claims 1-7.

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