Auxiliary power utilization optimal configuration method and device of sodium ion energy storage power station

Abstract

The invention discloses an auxiliary power utilization optimal configuration method and device for a sodium ion energy storage power station. The method comprises the following steps: counting station power utilization load information of the sodium ion energy storage power station; acquiring rated capacity, no-load loss and load loss information of each transformer; establishing an auxiliary power utilization optimization model of the sodium ion energy storage power station based on the station power utilization load information of the sodium ion energy storage power station and the rated capacity, no-load loss and load loss information of each transformer; and processing the sodium ion energy storage power station auxiliary power utilization optimization model through a large M method to obtain a sodium ion energy storage power station auxiliary power utilization optimization rapid solving model, and solving the sodium ion energy storage power station auxiliary power utilization optimization rapid solving model to obtain a sodium ion energy storage power station auxiliary power utilization optimal capacity configuration strategy. According to the method, under the condition that the rated capacity, no-load loss and load loss information of the selectable transformer are known, the auxiliary power utilization scheme and the specific configuration value of the sodium ion energy storage power station can be efficiently and rapidly solved by taking the minimum comprehensive loss as the target.

Description

Technical Field

[0001] The present invention relates to the technical field of optimization of sodium ion energy storage power stations, and in particular to a method and device for optimizing the configuration of auxiliary electricity consumption of a sodium ion energy storage power station. Background Art

[0002] As a new type of electrochemical energy storage technology, sodium-ion batteries have the advantages of abundant resources, low cost, and strong environmental adaptability, which makes them have broad application prospects in the field of large-scale energy storage. Compared with lithium-ion batteries, sodium-ion batteries are not restricted by resources in the acquisition of raw materials and have lower costs, which makes large-scale application of sodium-ion batteries possible. In addition, sodium-ion batteries also show excellent characteristics in high and low temperature performance and safety. These characteristics make sodium-ion batteries have unique advantages in the auxiliary power design of energy storage power stations.

[0003] In the design of auxiliary power consumption in energy storage power stations, the characteristics of sodium-ion batteries need to be fully considered. For example, the wide temperature range characteristics of sodium-ion batteries enable them to work stably under different climatic conditions, which is crucial to the operational stability and economy of power stations. At the same time, the high safety of sodium-ion batteries also provides a guarantee for the safe operation of power stations. Therefore, when designing the auxiliary power consumption system, the most suitable design scheme should be selected in combination with these characteristics of sodium-ion batteries.

[0004] There are usually two design schemes for auxiliary power supply of sodium ion energy storage power station:

[0005] 1) Centralized auxiliary power design: The auxiliary power of the energy storage system is all taken into consideration by the station power supply system of the booster station, and auxiliary transformers are not required in each energy storage unit.

[0006] 2) Energy storage unit auxiliary transformer and dual power supply scheme for important loads: The auxiliary power of the energy storage system adopts the dual power supply scheme of energy storage unit auxiliary transformer and important loads. This scheme needs to distinguish between important loads and non-important loads of the energy storage unit. Important loads mainly include fire protection systems, video surveillance, BMS (battery management system), measurement and control equipment, operating power supplies, switch communication equipment, etc. Non-important loads mainly include lighting, heating and dehumidification, air conditioning, liquid cooling units, etc. Double-cut switches are set for important loads. One end of the double-cut switch is connected from the auxiliary transformer, and the other end is connected from the switch cabinet on the low-voltage side of the booster station. When the main power supply fails, it can automatically switch to the backup power supply to supply power to the important loads of the energy storage unit. Non-important loads are powered locally by the auxiliary transformer of the energy storage unit.

[0007] However, there is currently a lack of an optimized configuration method for the auxiliary power consumption of sodium-ion energy storage power stations. Specifically, there is a lack of a method that can efficiently and quickly solve the auxiliary power consumption plan and specific configuration values ​​of the sodium-ion energy storage power station with the goal of minimizing the comprehensive loss when the rated capacity, no-load loss, load loss and other information of the optional transformer are known. Summary of the invention

[0008] 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 an auxiliary power optimization configuration method for a sodium ion energy storage power station, which can efficiently and quickly solve the auxiliary power scheme and specific configuration value of the sodium ion energy storage power station with the goal of minimizing the comprehensive loss when the rated capacity, no-load loss, load loss and other information of the optional transformer are known.

[0009] The second object of the present invention is to provide an auxiliary power optimization configuration device for a sodium ion energy storage power station.

[0010] A third object of the present invention is to provide a computer-readable storage medium.

[0011] A fourth object of the present invention is to provide an electronic device.

[0012] To achieve the above object, the present invention is implemented through the following technical solutions:

[0013] A method for optimizing auxiliary power configuration of a sodium ion energy storage power station, comprising:

[0014] Collect statistics on the power load information of the sodium-ion energy storage power station;

[0015] Obtain the rated capacity, no-load loss and load loss information of each transformer;

[0016] Establishing an auxiliary power optimization model for the sodium ion energy storage power station based on the station power load information of the sodium ion energy storage power station and the rated capacity, no-load loss and load loss information of each transformer;

[0017] The auxiliary power optimization model of the sodium-ion energy storage power station is processed by the big M method to obtain a rapid solution model for the auxiliary power optimization of the sodium-ion energy storage power station, and the rapid solution model for the auxiliary power optimization of the sodium-ion energy storage power station is solved to obtain the optimal capacity configuration strategy for the auxiliary power of the sodium-ion energy storage power station.

[0018] Preferably, the sodium ion energy storage power station includes multiple energy storage systems, and the station power load information of the sodium ion energy storage power station includes: important power load statistics of each energy storage system, power load statistics of each energy storage system, power load statistics of the sodium ion energy storage power station excluding the energy storage system, electric heat load statistics and lighting load statistics of the sodium ion energy storage power station, wherein important power loads are included in the power load range.

[0019] Preferably, the objective function of the auxiliary power optimization model of the sodium-ion energy storage power station is a function established with the goal of minimizing the comprehensive loss of the sodium-ion energy storage power station.

[0020] Preferably, the constraints of the auxiliary power optimization model of the sodium-ion energy storage power station include selection constraints of centralized station transformers, important load station transformers and auxiliary transformers, as well as transformer capacity constraints.

[0021] To achieve the above-mentioned object, the second aspect of the present invention provides an auxiliary power optimization configuration device for a sodium ion energy storage power station, comprising:

[0022] A statistical module is used to collect statistics on the power load information of the sodium-ion energy storage power station;

[0023] An acquisition module is used to obtain the rated capacity, no-load loss and load loss information of each transformer;

[0024] A construction module is used to establish an auxiliary power optimization model of the sodium ion energy storage power station based on the station power load information of the sodium ion energy storage power station and the rated capacity, no-load loss and load loss information of each transformer;

[0025] The solution module is used to process the auxiliary power optimization model of the sodium ion energy storage power station through the big M method to obtain a rapid solution model for the auxiliary power optimization of the sodium ion energy storage power station, and solve the rapid solution model for the auxiliary power optimization of the sodium ion energy storage power station to obtain the optimal capacity configuration strategy for the auxiliary power of the sodium ion energy storage power station.

[0026] Preferably, the sodium ion energy storage power station includes multiple energy storage systems, and the station power load information of the sodium ion energy storage power station counted by the statistical module includes: important power load statistics of each energy storage system, power load statistics of each energy storage system, power load statistics of the sodium ion energy storage power station excluding the energy storage system, electric heat load statistics and lighting load statistics of the sodium ion energy storage power station, wherein important power loads are included in the power load range.

[0027] Preferably, the objective function of the auxiliary power optimization model of the sodium-ion energy storage power station constructed by the construction module is a function established with the goal of minimizing the comprehensive loss of the sodium-ion energy storage power station.

[0028] Preferably, the constraints of the auxiliary power optimization model of the sodium-ion energy storage power station constructed by the construction module include selection constraints of centralized station transformers, important load station transformers and auxiliary transformers, as well as transformer capacity constraints.

[0029] To achieve the above-mentioned purpose, the third aspect of the present invention provides a computer-readable storage medium having a computer program stored thereon. When the computer program is executed by a processor, the auxiliary power optimization configuration method of the sodium-ion energy storage power station described above is implemented.

[0030] 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 auxiliary power optimization configuration method of the sodium ion energy storage power station described above is implemented.

[0031] The present invention has at least the following technical effects:

[0032] The present invention selects the auxiliary power design scheme of the sodium ion energy storage power station as a centralized auxiliary power design scheme or an energy storage unit auxiliary transformer combined with an important load dual power supply scheme. Based on the specific needs, scale, cost-effectiveness and power supply reliability requirements of the power station, the present invention provides an auxiliary power optimization configuration method and device for a sodium ion energy storage power station, aiming to provide an auxiliary power design scheme for the sodium ion energy storage power station. When the rated capacity, no-load loss, load loss and other information of the optional transformer are known, the auxiliary power scheme and specific configuration values ​​of the sodium ion energy storage power station can be efficiently and quickly solved with the goal of minimizing the comprehensive loss.

[0033] 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

[0034] Figure 1 This is a flow chart of a method for optimizing the configuration of auxiliary power consumption in a sodium-ion energy storage power station according to an embodiment of the present invention.

[0035] Figure 2 This is a structural block diagram of an auxiliary power optimization configuration device for a sodium ion energy storage power station according to an embodiment of the present invention. DETAILED DESCRIPTION

[0036] 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.

[0038] For ease of reading, the variable symbols in this embodiment are marked with ^ for known quantities, such as given parameters, optimization results, and values ​​of variables to be optimized, and those without ^ are unknown quantities, such as variables to be optimized, objective functions, etc.

[0041] The following describes the auxiliary power optimization configuration method and device of the sodium ion energy storage power station of this embodiment with reference to the accompanying drawings. Figure 1 Flow chart of the auxiliary power optimization configuration method of the sodium ion energy storage power station according to the embodiment of the present invention. Figure 1 As shown, the method includes:

[0042] Step S101: Collecting statistics on the power load information of the sodium-ion energy storage power station.

[0043] The sodium ion energy storage power station includes multiple energy storage systems. The station power load information of the sodium ion energy storage power station includes the important power load statistics of each energy storage system, the power load statistics of each energy storage system, the power load statistics of the sodium ion energy storage power station excluding the energy storage system, the electric heat load statistics and the lighting load statistics of the sodium ion energy storage power station, among which the important power load is included in the power load range.

[0044] Specifically, the sodium ion energy storage power station consists of An energy storage system.

[0045] The important power load statistics of each energy storage system are The unit is kW.

[0046] The power load statistics of each energy storage system are The unit is kW.

[0047] The power load statistics of the sodium ion energy storage power station excluding the energy storage system are The unit is kW.

[0048] The statistical value of the electric and thermal load of the sodium ion energy storage power station is The unit is kW.

[0049] The lighting load statistics of the sodium ion energy storage power station are The unit is kW.

[0050] Step S102: Acquire the rated capacity, no-load loss and load loss information of each transformer.

[0051] Specifically, the rated capacity, no-load loss, load loss and other information of each transformer can be obtained according to the manufacturer or specification. transformers are available, with rated capacity of The unit is kVA, and the no-load loss is The unit is kW, and the load loss is The unit is kW. That is, the i-th transformer The rated capacity is No-load loss is The load loss is

[0052] Step S103: Establishing an auxiliary power optimization model for the sodium ion energy storage power station based on the power load information of the sodium ion energy storage power station and the rated capacity, no-load loss and load loss information of each transformer.

[0053] Among them, the objective function of the auxiliary power optimization model of the sodium-ion energy storage power station is a function established with the goal of minimizing the comprehensive loss of the sodium-ion energy storage power station.

[0054] The objective function of the auxiliary power optimization model of the sodium ion energy storage power station is expressed as follows:

[0055]

[0056] Wherein, P is the comprehensive loss of the sodium ion energy storage power station, in kW;

[0057] is the first Boolean variable, indicating whether the i-th transformer is used as a centralized station transformer;

[0058] is the second Boolean variable, indicating whether the i-th transformer is used as the transformer for the important load station;

[0059] is the third Boolean variable, indicating whether the i-th transformer is used as an auxiliary transformer;

[0060] Is the number of days for charging and discharging;

[0061] It is the number of hours for each charge and discharge.

[0062] The objective function is the smaller of two expressions, the first of which contains a i , represents the loss of the centralized station transformer, that is, the centralized auxiliary power design scheme, and the second expression contains b i and c i , represents the loss of important load station transformers and auxiliary transformers, that is, the energy storage unit auxiliary transformer cooperates with the dual power supply solution for important loads.

[0063] The objective function aims to analyze the comprehensive loss of two design schemes and select the scheme with smaller loss.

[0064] Furthermore, the constraints of the auxiliary power optimization model of the sodium-ion energy storage power station include selection constraints of centralized station transformers, important load station transformers and auxiliary transformers, as well as transformer capacity constraints.

[0065] The selection constraints for centralized station transformers, important load station transformers and auxiliary transformers are expressed as follows:

[0066]

[0067]

[0068] The transformer capacity constraint is expressed as follows:

[0069]

[0070] Step S104: Processing the auxiliary power optimization model of the sodium ion energy storage power station through the big M method to obtain a rapid solution model for the auxiliary power optimization of the sodium ion energy storage power station, and solving the rapid solution model for the auxiliary power optimization of the sodium ion energy storage power station to obtain the optimal capacity configuration strategy for the auxiliary power of the sodium ion energy storage power station.

[0071] Among them, the Big M method is a penalty factor method, and the specific steps are as follows:

[0072] 1) Define two Boolean variables, namely the fourth Boolean variable and the fifth Boolean variable d and e.

[0073] 2) Define a large number

[0074] 3) The objective function (1) of the auxiliary power optimization model of the sodium ion energy storage power station is rewritten as the following objective function, and is constrained by constraint formulas (9)-(11):

[0075] min z(8)

[0076]

[0077] d+e≥1 (11)

[0078] Specifically, equation (1) is transformed into equation (8), where z is the transformed objective function, which is constrained by equations (9)-(11).

[0079] 4) Solve the quick solution model of auxiliary power optimization of sodium ion energy storage power station, that is, solve equation (8), the constraints are equations (2)-(7), (9-11), and get a i ,b i ,c i ,d,e solution value

[0080] 5) Based on the solution value The optimal capacity configuration strategy for auxiliary power consumption of the sodium-ion energy storage power station is obtained.

[0081] Specifically, when When there is a transformer satisfy At this time, the auxiliary power of the sodium ion energy storage power station adopts a centralized auxiliary power design scheme, and a centralized station transformer is set up with a rated capacity of The unit is kVA.

[0082] when and When there is a transformer satisfy At this time, the auxiliary power supply of the sodium ion energy storage power station adopts the energy storage unit auxiliary transformer and the dual power supply solution for important loads. The rated capacity of the transformer for important loads is The unit is kVA, and Each energy storage system is equipped with auxiliary transformers. The rated capacity of each auxiliary transformer is The unit is kVA.

[0083] Due to the existence of constraint (11), and The situation will not occur.

[0084] So far, this embodiment has completed the auxiliary power optimization configuration method of the sodium ion energy storage power station.

[0085] As a specific example:

[0086] (1) Description of Embodiments

[0087] The power load statistics of a sodium ion energy storage power station are shown in Table 1:

[0088] Table 1 Statistics of electricity load of sodium ion energy storage power station

[0089]

[0090]

[0091] The charging and discharging days are 300 days.

[0092] Each charge and discharge time is 4 hours.

[0093] (2) Implementation process

[0094] Through step S101, we obtain:

[0095]

[0096] By referring to GB / T 10228-2023 Technical Parameters and Requirements for Dry-Type Power Transformers in step S102, it can be known that:

[0097]

[0098] The rated capacity of the transformer is:

[0099] {50,100,160,200,250,315,400,500,630,800,1000,1250,1600,2000,2500}

[0100] The no-load loss of the transformer is:

[0101] {0.405,0.565,0.71,0.79,0.89,1.05,1.23,1.45,1.67,1.94,2.18,2.54,2.91,3.43,4}

[0102] The transformer load loss is:

[0103] {1.34,1.97,2.65,3.13,3.58,4.25,5.1,6.27,7.25,8.6,9.86,12,14.6,17.2,20.6}

[0104] Through steps S103 and S104, we obtain:

[0105]

[0106] At this time, the centralized auxiliary power design has the smallest comprehensive loss, and a centralized station transformer is set up with a rated capacity of That is 2000kVA.

[0107] Furthermore, the present invention also provides an auxiliary power optimization configuration device for a sodium ion energy storage power station. Figure 2 FIG. 1 is a structural block diagram of an auxiliary power optimization configuration device for a sodium ion energy storage power station according to an embodiment of the present invention. Figure 2As shown, the auxiliary power optimization configuration device 100 of the sodium ion energy storage power station includes: a statistical module 10, an acquisition module 20, a construction module 30 and a solution module 40, wherein the statistical module 10, the acquisition module 20 and the solution module 40 are all connected to the construction module 30. The statistical module 10 is used to count the station power load information of the sodium ion energy storage power station; the acquisition module 20 is used to obtain the rated capacity, no-load loss and load loss information of each transformer; the construction module 30 is used to establish the auxiliary power optimization model of the sodium ion energy storage power station based on the station power load information of the sodium ion energy storage power station and the rated capacity, no-load loss and load loss information of each transformer; the solution module 40 is used to process the auxiliary power optimization model of the sodium ion energy storage power station through the big M method to obtain the auxiliary power optimization fast solution model of the sodium ion energy storage power station, and solve the auxiliary power optimization fast solution model of the sodium ion energy storage power station to obtain the optimal capacity configuration strategy of the auxiliary power of the sodium ion energy storage power station.

[0108] In one embodiment of the present invention, the sodium ion energy storage power station includes multiple energy storage systems, and the station power load information of the sodium ion energy storage power station counted by the statistical module 10 includes important power load statistics of each energy storage system, power load statistics of each energy storage system, power load statistics of the sodium ion energy storage power station excluding the energy storage system, electric heat load statistics and lighting load statistics of the sodium ion energy storage power station, wherein important power loads are included in the power load range.

[0109] In one embodiment of the present invention, the objective function of the auxiliary power optimization model of the sodium-ion energy storage power station constructed by the construction module 30 is a function established with the goal of minimizing the comprehensive loss of the sodium-ion energy storage power station.

[0110] In one embodiment of the present invention, the constraints of the auxiliary power optimization model of the sodium-ion energy storage power station constructed by the construction module 30 include selection constraints of centralized station transformers, important load station transformers and auxiliary transformers, as well as transformer capacity constraints.

[0111] It should be noted that the specific implementation of the auxiliary power optimization configuration device of the sodium ion energy storage power station in this embodiment can refer to the specific implementation of the auxiliary power optimization configuration method of the sodium ion energy storage power station mentioned above, which will not be repeated here to avoid redundancy.

[0112] Furthermore, the present invention also provides a computer-readable storage medium on which a computer program is stored. When the computer program is executed by a processor, the auxiliary power optimization configuration method of the above-mentioned sodium-ion energy storage power station can be implemented.

[0113] Furthermore, the present invention also 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 auxiliary power optimization configuration method of the above-mentioned sodium ion energy storage power station can be implemented.

[0114] In summary, the present invention selects the auxiliary power design scheme of the sodium ion energy storage power station as a centralized auxiliary power design scheme or an energy storage unit auxiliary transformer combined with an important load dual power supply scheme. Based on the specific needs, scale, cost-effectiveness and power supply reliability requirements of the power station, the present invention provides an auxiliary power optimization configuration method and device for a sodium ion energy storage power station, aiming to provide an auxiliary power design scheme for a sodium ion energy storage power station. When the rated capacity, no-load loss, load loss and other information of the optional transformer are known, the auxiliary power scheme and specific configuration values ​​of the sodium ion energy storage power station can be efficiently and quickly solved with the goal of minimizing the comprehensive loss.

[0115] 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.

[0116] 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 method for optimizing the configuration of auxiliary power consumption of a sodium ion energy storage power station, characterized in that: include: Collect statistics on the power load information of the sodium-ion energy storage power station; Obtain the rated capacity, no-load loss and load loss information of each transformer; Establishing an auxiliary power optimization model for the sodium ion energy storage power station based on the station power load information of the sodium ion energy storage power station and the rated capacity, no-load loss and load loss information of each transformer; The auxiliary power optimization model of the sodium-ion energy storage power station is processed by the big M method to obtain a rapid solution model for the auxiliary power optimization of the sodium-ion energy storage power station, and the rapid solution model for the auxiliary power optimization of the sodium-ion energy storage power station is solved to obtain the optimal capacity configuration strategy for the auxiliary power of the sodium-ion energy storage power station.

2. The auxiliary power optimization configuration method of the sodium ion energy storage power station according to claim 1, characterized in that: The sodium ion energy storage power station includes multiple energy storage systems, and the station power load information of the sodium ion energy storage power station includes: important power load statistics of each energy storage system, power load statistics of each energy storage system, power load statistics of the sodium ion energy storage power station excluding the energy storage system, electric heat load statistics and lighting load statistics of the sodium ion energy storage power station, wherein important power loads are included in the power load range.

3. The auxiliary power optimization configuration method of the sodium ion energy storage power station according to claim 1, characterized in that: The objective function of the auxiliary power optimization model of the sodium-ion energy storage power station is a function established with the goal of minimizing the comprehensive loss of the sodium-ion energy storage power station.

4. The auxiliary power optimization configuration method of the sodium ion energy storage power station according to claim 3 is characterized in that: The constraints of the auxiliary power optimization model of the sodium-ion energy storage power station include selection constraints of centralized station transformers, important load station transformers and auxiliary transformers, as well as transformer capacity constraints.

5. An auxiliary power optimization configuration device for a sodium ion energy storage power station, characterized in that: include: A statistical module is used to collect statistics on the power load information of the sodium-ion energy storage power station; An acquisition module is used to obtain the rated capacity, no-load loss and load loss information of each transformer; A construction module is used to establish an auxiliary power optimization model of the sodium ion energy storage power station based on the station power load information of the sodium ion energy storage power station and the rated capacity, no-load loss and load loss information of each transformer; The solution module is used to process the auxiliary power optimization model of the sodium ion energy storage power station through the big M method to obtain a rapid solution model for the auxiliary power optimization of the sodium ion energy storage power station, and solve the rapid solution model for the auxiliary power optimization of the sodium ion energy storage power station to obtain the optimal capacity configuration strategy for the auxiliary power of the sodium ion energy storage power station.

6. The auxiliary power optimization configuration device of the sodium ion energy storage power station according to claim 5, characterized in that: The sodium ion energy storage power station includes multiple energy storage systems, and the station power load information of the sodium ion energy storage power station counted by the statistical module includes: important power load statistics of each energy storage system, power load statistics of each energy storage system, power load statistics of the sodium ion energy storage power station excluding the energy storage system, electric heat load statistics and lighting load statistics of the sodium ion energy storage power station, wherein important power loads are included in the power load range.

7. The auxiliary power optimization configuration device of the sodium ion energy storage power station according to claim 5, characterized in that: The objective function of the auxiliary power optimization model of the sodium-ion energy storage power station constructed by the construction module is a function established with the goal of minimizing the comprehensive loss of the sodium-ion energy storage power station.

8. The auxiliary power optimization configuration device of the sodium ion energy storage power station according to claim 7, characterized in that: The constraints of the auxiliary power optimization model of the sodium-ion energy storage power station constructed by the construction module include selection constraints of centralized station transformers, important load station transformers and auxiliary transformers, as well as transformer capacity constraints.

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 auxiliary power optimization configuration method of the sodium-ion energy storage power station according to any one of claims 1 to 4 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, the auxiliary power optimization configuration method of the sodium ion energy storage power station according to any one of claims 1 to 4 is implemented.

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