An optimization design method for large-capacity station-type energy storage power stations

Abstract

The present invention provides an optimization design method for a large-capacity station-type energy storage power station, comprising the following steps: step S1, capacity matching calculation, defining a first input package, and outputting various installed capacities of the energy storage station; step S2, determining whether the battery over-matching ratio value after the capacity calculation output result of step S1 satisfies the requirement of being between a minimum set value and a maximum set value of the battery over-matching ratio; step S3, building matching calculation, defining a second input package, and outputting parameters related to the energy storage building; step S4, determining whether the battery room over-matching ratio value of the energy storage building layout output result of step S3 is greater than or equal to the minimum set value of the battery room over-matching ratio; the present invention can perform capacity matching calculation, building matching calculation, system matching calculation, and economic matching calculation respectively by setting input parameters, and obtain the optimal design scheme for a large-capacity station-type energy storage power station under the selected capacity.

Description

Technical Field

[0001] The present invention relates to the technical field of electric energy storage equipment, and in particular to an optimization design method for a large-capacity station-type energy storage power station. Background Art

[0002] The construction of a new power system based on renewable energy will significantly change the power supply and safe operation characteristics of this new power system, and energy storage will play a crucial role. Currently, electrochemical energy storage, represented by LFP, has been commercialized, and energy storage power stations are gradually developing towards the GW level and even the TW level.

[0003] Energy storage power station layouts include outdoor fully prefabricated cabins / container-based layouts and indoor single-story / multi-story building layouts. The project's layout strategy, in addition to meeting applicable regulatory requirements, is closely related to the development of energy storage technology, the integration of energy storage equipment, and the project's permitted area energy density. Currently, the outdoor prefabricated cabin layout has become the mainstream layout method for energy storage power stations nationwide, thanks to its convenient equipment transportation, simple construction, and short construction cycle. This outdoor prefabricated cabin layout utilizes high-pressure liquid cooling, achieving an energy density per unit area of ​​approximately 20kWh / m².

[0004] When applied to large-capacity energy storage power stations, the outdoor prefabricated cabin layout solution has too many prefabricated cabins and occupies a large area, making it unsuitable for construction in areas with scarce construction land. Furthermore, the equipment inside the prefabricated cabins is repeatedly configured, resulting in severe redundancy, and there is limited room for further optimization of indicators such as floor space and equipment costs. In the prefabricated cabin layout solution, the battery clusters within the energy storage battery compartments mostly adopt a back-to-back, non-walk-in design. While this improves the equipment area energy density and design integration, it is relatively less friendly to equipment operating conditions. With the continuous increase in demand for energy storage project construction and the rapid development of large-capacity and extra-large-capacity battery energy storage power stations, the contradiction between energy storage technology and existing energy storage equipment layout solutions has become increasingly serious.

[0005] At present, there are very few domestic energy storage power stations that use multi-layer layouts in indoor buildings. Multi-layer station-type energy storage power stations include Changsha Furong, Jinjiang Tonglin, and Ningde Xiapu Energy Storage Power Station under construction. The energy density per unit area of ​​the entire station can reach about 50kWh / m 2 The floor space efficiency can be doubled based on the outdoor prefabricated cabin layout plan, and the friendliness to equipment operation is greatly increased.

[0006] However, judging from the existing station-type energy storage power stations, there is no optimized design method and standard for large-capacity station-type energy storage power stations. In the existing engineering design, it is easy to ignore requirements such as the equipment itself, building design matching, system design matching, and economic design matching, resulting in poor engineering integration standardization capabilities. Summary of the Invention

[0007] In view of this, the purpose of the present invention is to provide a method that can perform capacity matching calculations, building matching calculations, system matching calculations, and economic matching calculations by setting input parameters, and thus obtain the optimal design scheme for a large-capacity station-type energy storage power station under a selected capacity.

[0008] The present invention is implemented by the following method: an optimization design method for a large-capacity station-type energy storage power station, the design method comprising the following steps:

[0009] Step S1: Capacity matching calculation, defining the first input package, and outputting the various installed capacities of the energy storage station;

[0010] Step S2: Determine whether the battery over-provision ratio value after the capacity calculation output result of step S1 satisfies the requirement of being between the minimum set value and the maximum set value of the battery over-provision ratio. If yes, proceed to the next step; otherwise, verify and reset the parameters of the first input package.

[0011] Step S3: Building matching calculation, defining the second input package, and outputting the relevant parameters of the energy storage building;

[0012] Step S4: Determine whether the output result of step S3, the battery room number over-allocation ratio of the energy storage building layout, satisfies the minimum set value and the maximum set value of the battery room number over-allocation ratio. If yes, proceed to the next step; otherwise, verify and reset the parameters of the second input package.

[0013] Step S5: System matching calculation, defining the third input package, and outputting the relevant parameters of the energy storage power station PCS and isolated boost transformer;

[0014] Step S6: Determine whether the PCS over-provisioning ratio value calculated by the system in the output result of step S5 satisfies the requirement of being between the minimum set value and the maximum set value of the PCS over-provisioning ratio, and whether the isolated boost transformer capacity over-provisioning ratio value satisfies the requirement of being between the minimum set value and the maximum set value of the isolated boost transformer over-provisioning ratio. If so, proceed to the next step; if not, verify and reset the parameters of the third input package.

[0015] Step S7: economic matching calculation, defining the fourth input package, and outputting the overall construction and equipment cost of the energy storage power station;

[0016] Step S8: Determine whether the unit price difference rate of the energy storage system construction equipment, which is the output result of step S7, is greater than the maximum set value of the energy storage system construction equipment unit price decrease and less than the maximum set value of the energy storage system construction equipment comprehensive unit price increase. If so, proceed to the next step; if not, verify and reset the parameters of the fourth input package.

[0017] Step S9: output the optimal solution.

[0018] Furthermore, step S1 is further specified as follows: capacity matching calculation, defining a first input package, wherein the package elements of the first input include the rated active power of the energy storage power station, the charge and discharge rate of the energy storage system, the cell capacity, the cell voltage, the number of cells in series in the pack, the number of packs in a cluster, the number of clusters in a single battery room stack, the number of battery stacks in a single battery room, the minimum setting value of the battery over-matching ratio, and the maximum setting value of the battery over-matching ratio; the output result is the rated capacity of the energy storage power station, the preliminary calculated number of battery rooms, the capacity of a single cluster, the installed capacity of a single battery room, the preliminary calculated battery installed capacity, and the preliminary calculated battery over-matching ratio.

[0019] Furthermore, the step S3 is further specified as follows: building matching calculation, defining a second input package, the package elements of the second input include parameters such as the number of battery rooms in each building with single liquid cooling single row arrangement, the number of battery rooms in each building with small centralized liquid cooling single row arrangement including liquid cooling, the number of battery rooms in each building with small centralized liquid cooling single row arrangement without liquid cooling, the number of battery rooms in each building with single cooling source double row arrangement, the number of battery rooms in each building with small centralized liquid cooling double row arrangement including liquid cooling, the number of battery rooms in each building with small centralized liquid cooling double row arrangement without liquid cooling, the number of battery buildings covered by small centralized liquid cooling, the number of small centralized liquid cooling sets, the number of single liquid cooling sets, the minimum setting value of the battery room over-matching ratio, the maximum setting value of the battery room over-matching ratio, etc.; the output result is the number of battery room configurations, the battery room over-matching ratio, and the number of energy storage building settings.

[0020] Furthermore, the step S5 is further specified as follows: system matching calculation, defining a third input package, the package elements of the third input include single PCS power, single isolated boost transformer capacity, PCS over-provisioning ratio minimum setting value, PCS over-provisioning ratio maximum setting value, isolated boost transformer capacity over-provisioning ratio minimum setting value, isolated boost transformer capacity over-provisioning ratio maximum setting value; the output result is the minimum power of a single battery PCS configuration, the number of PCS installed units, the PCS installed power, the minimum configuration capacity of the isolated boost transformer, the number of isolated boost transformer installed units, the isolated boost transformer installed capacity, the PCS power over-provisioning ratio, and the isolated boost transformer capacity over-provisioning ratio.

[0021] Furthermore, step S7 is further specified as follows: economic matching calculation, defining a fourth input package, wherein the elements of the fourth input package include battery system unit price, PCS system unit price, boost transformer system unit price, small centralized liquid cooling system unit price, single liquid cooling system unit price, single-row layout building unit price, double-row layout building unit price, project energy storage system building equipment expected unit price, project energy storage system building equipment unit price reduction maximum set value, project energy storage system building equipment unit price increase maximum set value; the output result is battery installed capacity, PCS installed power, isolated boost transformer installed capacity, energy storage system building equipment cost, energy storage system building equipment unit price, and energy storage system building equipment unit price difference rate.

[0022] The beneficial effects of the present invention are as follows: It provides a system that can, by setting input parameters, perform capacity matching calculations, building matching calculations, system matching calculations, and economic matching calculations, resulting in an optimal design for a large-capacity station-type energy storage power station at a selected capacity. It also standardizes multi-story station building design plans, rationally configures liquid cooling devices, and provides favorable operating conditions for battery equipment, improving the reliability of both the equipment and the energy storage power station compared to outdoor installations. By outputting the optimal design solution, it optimally configures key equipment such as batteries, PCSs, and isolated step-up transformers, minimizing over-configuration while meeting technical parameter requirements, thus laying a solid foundation for the profitability of energy storage power stations. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] Figure 1 Schematic diagram of the method of the present invention.

[0024] Figure 2 It is a schematic diagram of the process of the present invention.

[0025] Figure 3 This is an example calculation diagram for capacity matching calculation.

[0026] Figure 4 This is an example calculation diagram for building matching calculation.

[0027] Figure 5 This is an example calculation diagram for system matching calculation.

[0028] Figure 6 This is an example calculation diagram for economic matching calculation. DETAILED DESCRIPTION

[0029] The present invention will be further described below with reference to the accompanying drawings.

[0030] See also Figure 1 and Figure 2 As shown, the present invention provides an embodiment: a method for optimizing the design of a large-capacity station-type energy storage power station, the method comprising the following steps:

[0031] Step S1: Capacity matching calculation, defining the first input package, and outputting the various installed capacities of the energy storage station;

[0032] Step S2: Determine whether the battery over-provision ratio value after the capacity calculation output result of step S1 satisfies the requirement of being between the minimum set value and the maximum set value of the battery over-provision ratio. If yes, proceed to the next step; otherwise, verify and reset the parameters of the first input package.

[0033] Step S3: Building matching calculation, defining the second input package, and outputting the relevant parameters of the energy storage building;

[0034] Step S4: Determine whether the output result of step S3, the battery room number over-allocation ratio of the energy storage building layout, satisfies the minimum setting value and the maximum setting value of the battery room number over-allocation ratio. If yes, proceed to the next step; otherwise, verify and reset the parameters of the second input package.

[0035] Step S5: System matching calculation, defining the third input package, and outputting the relevant parameters of the energy storage power station PCS and isolated boost transformer;

[0036] Step S6: Determine whether the PCS over-provisioning ratio value calculated by the system in the output result of step S5 satisfies the requirement of being between the minimum set value and the maximum set value of the PCS over-provisioning ratio, and whether the isolated boost transformer capacity over-provisioning ratio value satisfies the requirement of being between the minimum set value and the maximum set value of the isolated boost transformer over-provisioning ratio. If so, proceed to the next step; if not, verify and reset the parameters of the third input package.

[0037] Step S7: economic matching calculation, defining the fourth input package, and outputting the overall construction and equipment cost of the energy storage power station;

[0038] Step S8: Determine whether the unit price difference rate of the energy storage system construction equipment output result item in step S7 is greater than the maximum set value of the energy storage system construction equipment unit price reduction and less than the maximum set value of the energy storage system construction equipment comprehensive unit price increase. If so, proceed to the next step; if not, verify and reset the fourth input package parameters.

[0039] Step S9: output the optimal solution.

[0040] The present invention will be further described below by a specific embodiment:

[0041] See also Figure 3 As shown, in one embodiment of the present invention, the capacity matching calculation defines a first input package, the capacity matching calculation defines a first input package, the package elements of the first input include the rated active power of the energy storage power station, the charge and discharge rate of the energy storage system, the cell capacity, the cell voltage, the number of cells in series in the pack, the number of packs in a cluster, the number of clusters in a single cell room stack, the number of battery stacks in a single cell room, the minimum setting value of the battery over-provision ratio, the maximum setting value of the battery over-provision ratio and other parameters; the output result is the rated capacity of the energy storage power station, the installed capacity of a single cell room, the preliminary calculated number of battery rooms, the preliminary calculated battery installed capacity, and the preliminary calculated battery over-provision ratio. Determine whether the output result battery over-provision ratio value satisfies the requirement of being between the minimum setting value and the maximum setting value of the battery over-provision ratio. If so, switch to the building matching calculation. If not, verify and reset the parameters of the first input package, and repeat the above operation.

[0042] Step S2 is illustrated by example: the rated active power of the energy storage station P0, the charge and discharge rate of the energy storage system C, and the cell capacity E cell , cell voltage Vcell 、Number of cells in series in pack X 11 、Number of packs in the cluster X 12 、Number of clusters in a single cell compartment X 13 、Number of battery stacks in a single battery room X 14 , the minimum setting value of battery over-provision ratio η 1min , the maximum setting value of battery over-provision ratio η 1max , a total of 4 schemes are listed in the example. Taking the second one as an example, in the first input package, the settings are 1300MW, 0.5, 280Ah, 3.2V, 52, 8, 9 clusters, 4 stacks, 0%, and 5% respectively; the output result is that the rated capacity of the energy storage station E0=P0 / C is 2600MWh, and the installed capacity of the single battery room E room =V cell *E cell *X 11 *X 12 *X 13 *X 14 / 1000000 is 13.42MWh, judging E room The capacity limit for a single battery room is 15MWh, which is less than the limit specified in the specification. The number of battery rooms A is calculated. 11 =ROUNDUP(E0 / E room ,0) is 194, the initial battery installation capacity E 11 =A 11 *E room The battery over-provision ratio η is 2603.19MWh. 11 =(E 11 / E0-1) is 0.12. The output result can be used to determine the initial calculation of the battery over-ratio η 11 Greater than the minimum setting value η of the battery over-provision ratio 1min Less than the maximum setting value η of the battery over-provision ratio 1max , proceed to step S3;

[0043] See also Figure 4As shown, in one embodiment of the present invention, the building matching calculation defines a second input package, the elements of which include parameters such as the number of battery rooms in each building with single liquid cooling and single row arrangement, the number of battery rooms in each building with liquid cooling in a small centralized liquid cooling and single row arrangement, the number of battery rooms in each building with liquid cooling in a small centralized liquid cooling and single row arrangement without liquid cooling, the number of battery rooms in each building with single cooling source and double row arrangement, the number of battery rooms in each building with liquid cooling in a small centralized liquid cooling and double row arrangement without liquid cooling, the number of battery buildings covered by small centralized liquid cooling, the number of small centralized liquid cooling sets, the number of single liquid cooling sets, the minimum setting value of the battery room over-matching ratio, the maximum setting value of the battery room over-matching ratio, etc.; the output result is the number of battery room configurations, the battery room over-matching ratio, and the number of energy storage building settings. Determine whether the output result of the battery room over-matching ratio satisfies the minimum and maximum set values ​​of the battery room over-matching ratio. If so, proceed to capacity matching calculation and revise the battery installation capacity. If so, perform system matching calculation. If not, verify and reset the parameters of the second input package and repeat the above operation.

[0044] Step S4 is illustrated by way of example: single liquid cooling single row arrangement each building contains X number of battery rooms 21 、Small centralized liquid cooling single row layout including liquid cooling each building including battery room number X 22 、Small centralized liquid cooling single row arrangement excluding liquid cooling Each building includes battery room number X 23 、Single cold source double row arrangement Each building contains battery rooms X 24 、Small centralized liquid cooling double row arrangement including liquid cooling each building including battery room number X 25 、Small centralized liquid cooling double row arrangement excluding liquid cooling Each building includes battery room number X 26 、Number of battery buildings covered by small centralized liquid cooling X 27 、Number of small centralized liquid cooling sets X 28 、Number of single liquid cooling sets X 29 , the minimum setting value η of the battery room over-allocation ratio 2min , the maximum setting value η of the battery room over-allocation ratio 2max , select single row / double row layout, single layer / multi-layer layout. There are 4 schemes listed in the example. Take the second one as an example. In the second input package, set them as 13, 11, 14, 10, 9, 11, 3, 5, 0, 0%, 1% in sequence; the output result is battery room configuration A 21 =X 28 *(X 22 +X 23 *2)+X 29 *X 21 There are 195 battery rooms, and the battery room over-provision ratio η2=(A 21 / A 11-1) is 0.515. It can be judged that the output result battery room number over-matching ratio η2 is greater than the minimum setting value η of the battery room number over-matching ratio 2min Less than the maximum set value η of the pool over-provision ratio 2max , enter step S2, adjust the capacity matching calculation, after building matching, calculate the number of battery rooms A 12 =A 21 , actual battery installed capacity E 12 =A 12 *E room The actual battery over-provision ratio is η, which is 2616.61MWh. 12 =(E 12 / E0-1) is 0.64. The output result can be used to determine the actual battery over-ratio value η 12 Greater than the minimum setting value η of the battery over-provision ratio 1min Less than the maximum setting value η of the battery over-provision ratio 1max , proceed to step S5;

[0045] See also Figure 5 As shown, in one embodiment of the present invention, the system matching calculation defines a third input package, the elements of which include the power of a single PCS, the capacity of a single isolated boost transformer, the minimum setting value of the PCS over-provision ratio, the maximum setting value of the PCS over-provision ratio, the minimum setting value of the isolated boost transformer capacity over-provision ratio, and the maximum setting value of the isolated boost transformer capacity over-provision ratio; the output result is the minimum power of a single battery PCS configuration, the number of installed PCSs, the installed PCS power, the minimum configuration capacity of the isolated boost transformer, the number of installed isolated boost transformers, the installed capacity of the isolated boost transformer, the PCS power over-provision ratio, and the isolated boost transformer capacity over-provision ratio. It is determined whether the output result PCS power over-provision ratio value satisfies the requirement of being between the minimum setting value and the maximum setting value of the PCS power over-provision ratio, and whether the isolated boost transformer capacity over-provision ratio value satisfies the requirement of being between the minimum setting value and the maximum setting value of the isolated boost transformer capacity over-provision ratio. If so, the economic matching calculation is switched to. If not, the parameters of the third input package are verified and reset, and the above operation is repeated.

[0046] Step S6 is illustrated as follows: Single PCS power P p1 、Single isolated boost transformer capacity S t1 , PCS over-provisioning ratio minimum setting value η 31min , PCS over-provisioning ratio maximum setting value η 31max , Minimum setting value η of isolated boost transformer capacity over-matching ratio 32min , the maximum setting value η of the isolated boost transformer capacity over-matching ratio 32max, a total of 4 schemes are listed in the example. Taking the second scheme as an example, in the third input package, the settings are 1.725, 7.5, 0%, 10%, 0%, and 20% respectively; the output result is the minimum power P of a single PCS unit. p1min =E room *X 13 *C is 1.68MW, the number of PCS installations is X 31 =A 21 *X 13 There are 780 units, and the PCS installation power P1=X 31 *P p1 The minimum capacity of a single isolated step-up transformer is S t1min =P p1min *X 13 6.71MVA, number of isolated step-up transformers installed X 32 =X 31 / X 13 There are 195 units, and the installed capacity of the isolated step-up transformer is S1=X 32 *S t1 The PCS power over-provision ratio is 1462.5MVA. 31 = (P1 / P0-1) is 3.5, the isolated boost transformer capacity over-matching ratio η 32 = (S1 / P0-1) is 12.5. The output result PCS power over-provision ratio η can be determined. 31 Greater than the minimum setting value η of the PCS power over-provision ratio 31min Less than the maximum setting value η of the PCS power over-provisioning ratio 31max , isolated boost transformer capacity over-matching ratio η 32 Greater than the minimum setting value η of the isolated boost transformer capacity over-match ratio 32min Less than the maximum setting value η of the isolated boost transformer capacity 32max , proceed to step S7;

[0047] See also Figure 6 As shown, in one embodiment of the present invention, the system matching calculation defines a fourth input package, wherein the elements of the fourth input package include the battery system unit price, the PCS system unit price, the boost transformer system unit price, the small centralized liquid cooling system unit price, the single liquid cooling system unit price, the single-row layout building unit price, the double-row layout building unit price, the expected unit price of the energy storage system building equipment, the maximum set value for the price reduction of the energy storage system building equipment, and the maximum set value for the price increase of the energy storage system building equipment; it is determined whether the output result of the energy storage system building equipment price difference rate is greater than the maximum set value for the price reduction of the energy storage system building equipment and less than the maximum set value for the comprehensive price increase of the energy storage system building equipment. If so, the next step is entered to output the optimal design solution and the process is terminated. If not, the parameters of the fourth input package are verified and reset, and the above operation is repeated.

[0048] Step S8 is illustrated by way of example: Battery system unit price X 41 、PCS system unit price X 42 , step-up transformer system unit price X 43 、Unit price of small centralized liquid cooling system X 44 、Single liquid cooling system unit price X 45 、Unit price of single row layout building X 46 , Double row layout building unit price X 47 , Expected unit price of energy storage system construction equipment X 48 , the maximum set value η of the unit price reduction of energy storage system construction equipment 4min , the maximum set value η of the unit price increase of energy storage system construction equipment 4max , there are 4 solutions listed in the example. Taking the second one as an example, the values ​​in the fourth input package are set to 1.3, 0.15, 0.16, 3500, 1400, 2700, 2300, 1.75, -5%, and 0% respectively; the output result is battery installed capacity battery installed capacity E4=E 12 The installed capacity of the isolated boost transformer is S4=S1, which is 1462.5MVA. The construction equipment cost of the energy storage system is A. 41 =(X 41 *E4+X 42 *P4+X 43 *S4) / 100+(X 27 *X 28 *X 47 +X 29 *X 48 +X 28 *X 44 +X 29 *X 45 ) / 10000 is RMB 4.417 billion, and the unit price of energy storage system construction equipment is A 42 =A 41 / E0*100 is 1.699 yuan / Wh, the unit price difference of energy storage system construction equipment η4=(A 42 / X 48 -1) is -2.914, and the output result of the judgment is that the price difference rate η4 of the energy storage system construction equipment is greater than the maximum setting value η of the energy storage system construction equipment price reduction. 4min And it is less than the maximum set value η of the comprehensive unit price increase of energy storage system construction equipment 4max , go to step S9.

[0049] Step S9: Determine whether η4 is the minimum value among all listed solutions, output it as the optimal solution, and end the process.

[0050] The above description is only a preferred embodiment of the present invention. All equivalent changes and modifications made according to the scope of the patent application of the present invention should fall within the scope of the present invention.

Claims

1. A method for optimizing the design of a large-capacity station-type energy storage power station, characterized in that: The design method comprises the following steps: Step S1: Capacity matching calculation, defining the first input package, and outputting the various installed capacities of the energy storage station; Step S2: Determine whether the initial battery over-provision ratio value after the capacity calculation output result of step S1 satisfies the requirement of being between the minimum set value and the maximum set value of the battery over-provision ratio. If yes, proceed to the next step; otherwise, verify and reset the parameters of the first input package. Step S3: Building matching calculation, defining the second input package, and outputting the relevant parameters of the energy storage building; Step S4: Determine whether the output result of step S3, the battery room number over-matching ratio value of the energy storage building architectural layout, satisfies the requirement of being between the minimum set value and the maximum set value of the battery room number over-matching ratio; if so, re-enter step S2, adjust the capacity matching calculation so that after the building is matched, the actual battery over-matching ratio value is obtained, and then determine whether the actual battery over-matching ratio value satisfies the requirement of being between the minimum set value and the maximum set value of the battery over-matching ratio; if so, proceed to the next step; if not, verify and reset the parameters of the second input package; Step S5: System matching calculation, defining the third input package, and outputting the relevant parameters of the energy storage power station PCS and isolated boost transformer; Step S6: Determine whether the PCS over-provisioning ratio value calculated by the system in the output result of step S5 satisfies the requirement of being between the minimum set value and the maximum set value of the PCS over-provisioning ratio, and whether the isolated boost transformer capacity over-provisioning ratio value satisfies the requirement of being between the minimum set value and the maximum set value of the isolated boost transformer over-provisioning ratio. If so, proceed to the next step; if not, verify and reset the parameters of the third input package. Step S7: economic matching calculation, defining the fourth input package, and outputting the overall construction and equipment cost of the energy storage power station; Step S8: Determine whether the unit price difference rate of the energy storage system construction equipment, which is the output result of step S7, is greater than the maximum set value of the energy storage system construction equipment unit price decrease and less than the maximum set value of the energy storage system construction equipment comprehensive unit price increase. If so, proceed to the next step; if not, verify and reset the parameters of the fourth input package. Step S9: outputting the optimal solution, wherein the optimal solution is the solution with the minimum unit price difference of the energy storage system construction equipment among all the solutions.

2. The optimization design method for a large-capacity station-type energy storage power station according to claim 1 is characterized in that: The step S1 is further specifically as follows: capacity matching calculation, defining a first input package, wherein the elements of the first input package include the rated active power of the energy storage station, the charge and discharge rate of the energy storage system, the cell capacity, the cell voltage, the number of cells in series in a pack, the number of packs in a cluster, the number of clusters in a single cell compartment stack, the number of battery stacks in a single cell compartment, the minimum setting value of the battery over-matching ratio, and the maximum setting value of the battery over-matching ratio; the output result is the rated capacity of the energy storage station, the preliminary calculated number of battery compartments, the capacity of a single cluster, the installed capacity of a single cell compartment, the preliminary calculated battery installed capacity, and the preliminary calculated battery over-matching ratio.

3. The optimization design method for a large-capacity station-type energy storage power station according to claim 1 is characterized in that: The step S3 is further specifically as follows: building matching calculation, defining a second input package, the elements of the second input package include the number of battery rooms in each building with single liquid cooling single row arrangement, the number of battery rooms in each building with liquid cooling in small centralized liquid cooling single row arrangement, the number of battery rooms in each building with liquid cooling in small centralized liquid cooling single row arrangement without liquid cooling, the number of battery rooms in each building with single cooling source double row arrangement, the number of battery rooms in each building with liquid cooling in small centralized liquid cooling double row arrangement, the number of battery rooms in each building with liquid cooling in small centralized liquid cooling double row arrangement without liquid cooling, the number of battery buildings covered by small centralized liquid cooling, the number of small centralized liquid cooling sets, the number of single liquid cooling sets, the minimum setting value of the battery room over-matching ratio, the maximum setting value of the battery room over-matching ratio and other parameters; the output result is the number of battery room configurations, the battery room over-matching ratio, and the number of energy storage buildings.

4. The optimization design method for a large-capacity station-type energy storage power station according to claim 1 is characterized in that: The step S5 is further specifically as follows: system matching calculation, defining a third input package, the elements of the third input package include single PCS power, single isolated boost transformer capacity, PCS over-provisioning ratio minimum setting value, PCS over-provisioning ratio maximum setting value, isolated boost transformer capacity over-provisioning ratio minimum setting value, isolated boost transformer capacity over-provisioning ratio maximum setting value; the output result is the minimum power of a single battery PCS configuration, the number of PCS installed, PCS installed power, the minimum configuration capacity of the isolated boost transformer, the number of isolated boost transformer installed, isolated boost transformer installed capacity, PCS power over-provisioning ratio, and isolated boost transformer capacity over-provisioning ratio.

5. The optimization design method for a large-capacity station-type energy storage power station according to claim 1 is characterized in that: The step S7 is further specifically as follows: economic matching calculation, defining a fourth input package, wherein the elements of the fourth input package include battery system unit price, PCS system unit price, boost transformer system unit price, small centralized liquid cooling system unit price, single liquid cooling system unit price, single-row layout building unit price, double-row layout building unit price, expected unit price of project energy storage system building equipment, maximum set value for price reduction of project energy storage system building equipment, and maximum set value for price increase of project energy storage system building equipment; the output result is battery installed capacity, PCS installed power, isolated boost transformer installed capacity, energy storage system building equipment cost, energy storage system building equipment unit price, and energy storage system building equipment unit price difference rate.

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