Method, device and equipment for analyzing installed capacity of energy storage system and medium

Abstract

The invention relates to an installed capacity analysis method for an energy storage system, and the method comprises the steps: obtaining the local electricity price data, the power utilization data of a user in the last year, and the capacity Q change of a transformer, and presetting two groups of charging and discharging parameters of the energy storage system; calculating an output monthly mean value, a monthly charge and discharge factor mean value and a total annual discharge amount of the two groups of charge and discharge parameters under the constraint of an anti-countercurrent protection mechanism and an anti-overcapacity protection mechanism, and respectively obtaining an output monthly mean value instance set, a monthly charge and discharge factor mean value instance set and a total annual discharge amount instance set; and comparing the data in the same instance set, and if the comparison result is that one charging and discharging parameter has two data larger than the other charging and discharging parameter, taking the charging and discharging parameter as an optimal preset scheme. According to the invention, the appropriate machine type can be more accurately selected through multiple comparison, and the anti-backflow and anti-super-capacity mechanism is set, so that the user demand can be better responded.

Description

Technical Field

[0001] The present application relates to the technical field of energy storage system capacity, and in particular to a method, device, equipment and medium for analyzing the installed capacity of an energy storage system. Background Art

[0002] An energy storage system is a device or technology combination that can store electrical energy and release it when needed. Its core function is to solve the mismatch between electricity supply and demand in time, space or intensity, improve energy utilization efficiency, enhance grid stability and the ability to absorb renewable energy, such as electricity generated by photovoltaic power generation and wind power generation.

[0003] In some regions, electricity prices vary at different times. Therefore, energy storage systems are used as the main output to drive loads during peak electricity price periods, and to store electricity from the grid during low electricity price periods. Users generally hope to maintain load operation at the lowest possible electricity cost, requiring the energy storage system to be fully charged during off-peak periods and fully discharged during peak periods. Therefore, when designing an energy storage system, installed capacity and maximum charge and discharge power are important considerations.

[0004] Excessive installed capacity and maximum charge / discharge power can easily lead to the energy storage system not being fully charged during off-peak hours and not fully discharged during peak hours, resulting in a waste of energy storage resources. On the other hand, too small an installed capacity and maximum charge / discharge power fail to maximize economic benefits. Energy storage system designers typically estimate the installed capacity and maximum charge / discharge power of the energy storage system based on the user's past electricity usage. However, this estimation method is relatively simple and does not consider reverse flow and overcapacity, resulting in the final installation effect not meeting expectations. Therefore, how to combine existing mainstream energy storage system models to accurately estimate the installed capacity and maximum charge / discharge power of the energy storage system that meet project requirements is an urgent problem that technicians in this field need to solve. Summary of the Invention

[0005] The present application provides a method, apparatus, device, and medium for analyzing installed capacity of an energy storage system.

[0006] The present application provides a method, device, equipment, and medium for analyzing installed capacity of an energy storage system using the following technical solutions:

[0007] The first aspect of the present invention provides a method for analyzing the installed capacity of an energy storage system, comprising: obtaining local electricity price data, user electricity consumption data from the previous year, and transformer capacity Q 变, and preset two sets of charging and discharging parameters for the energy storage system; under the constraints of the anti-reverse flow protection mechanism and the anti-overcapacity protection mechanism, the monthly average output ratio, the monthly average charge and discharge factor, and the annual total discharge volume are calculated for the two sets of charging and discharging parameters, and the monthly average output ratio instance set, the monthly average charge and discharge factor instance set, and the annual total discharge volume instance set are respectively obtained; compared with the data in the same instance set, if the comparison result shows that two data of a charging and discharging parameter are better than the other charging and discharging parameter, then the charging and discharging parameter is taken as the optimal preset solution.

[0008] Preferably, the electricity consumption data of the previous year include a scatter plot of the instantaneous power analysis of the electricity consumption side every month in the previous year, a pie chart of the instantaneous power analysis of the electricity consumption side every month, and the instantaneous active power P of the electricity consumption side every 15 minutes on a single day in the previous year. 瞬 The monthly power consumption side instantaneous power analysis scatter plot is based on a single day time as the horizontal axis, and the instantaneous active power P of the power consumption side within every 15 minutes of a single day of each month 瞬 As the vertical axis, the monthly instantaneous power analysis pie chart of the electricity consumption side includes the proportion of all scattered points in each power segment of the month; the charging and discharging parameters include the maximum discharge power P 放 , Maximum charging power P 充 and energy storage system capacity Q 储 .

[0009] Preferably, the anti-backflow protection mechanism includes: during the peak power period, the maximum discharge power P 放 Satisfy P 放 <P 瞬 -0.05*Q 变 The anti-overcapacity protection mechanism includes: during the valley period, the maximum charging power P 充 Satisfy P 充 <0.9*Q 变 -P 瞬 .

[0010] Preferably, under the constraints of the anti-backflow protection mechanism and the anti-overcapacity protection mechanism, the output ratio monthly average value of the two sets of charge and discharge parameters is calculated, including: the maximum discharge power P of the two sets of charge and discharge parameters in a single month is calculated by the following formula: 放 Allowable fluctuation range Perform the calculation: The peak power period of a single day has multiple segments, and H is the number of hours of the first peak power period in a single day; Pick The median P 中 , and according to the median P 中 And the scatter plot of the corresponding month, determine and The ratio of the number of internal scatter points is the monthly output ratio; the monthly average output ratio of the previous year is obtained based on the monthly output ratio.

[0011] Preferably, under the constraints of the anti-backflow protection mechanism and the anti-overcapacity protection mechanism, the monthly charge and discharge factor average and the annual discharge total are calculated for the two sets of charge and discharge parameters, including: judging whether the two sets of charge and discharge parameters meet P during the peak power period 放 <P 瞬 -0.05*Q 变 , if satisfied, then pass Q 放 =P 放 *(15 / 60) gets the discharge power Q every 15 minutes during the peak period 放 If not satisfied, then pass Q 放 =(P 瞬 -0.05*Q 变 )*(15 / 60) to get the discharge power Q every 15 minutes during the peak period 放 ; Determine whether the two sets of charge and discharge parameters meet P in the valley period 充 <0.9*Q 变 -P 瞬 , if satisfied, then pass Q 充 =P 充 *(15 / 60) gets the charging capacity Q every 15 minutes during the off-peak period 充 If not satisfied, then pass Q 充 =(0.9*Q 变 -P 瞬 )*(15 / 60) to get the charging capacity Q every 15 minutes during the off-peak period 充 According to Q 放 Get the daily discharge power Q during the peak power period of a single day i日放 , according to Q 充 Get the daily charging capacity Q during the valley period of a single day i日充 ;pass Get the monthly charge and discharge factor λ for a single month j , where n is the number of days in the month, and the monthly charge and discharge factor λ is used j Get the monthly charge and discharge factor average; through Get the total annual discharge Q of the previous year 总放 , where d is the number of days in the previous year.

[0012] The second aspect of the present invention provides an installed capacity analysis device for an energy storage system, comprising: a charge and discharge parameter preset module, for obtaining local electricity price data, user electricity consumption data for the previous year and transformer capacity, and presetting two sets of charge and discharge parameters for the energy storage system; a first calculation module, connected to the charge and discharge parameter preset module, for calculating the output ratio monthly average value of the two sets of charge and discharge parameters under the constraints of the anti-backflow protection mechanism and the anti-overcapacity protection mechanism, and obtaining an output ratio monthly average value instance set; a second calculation module, connected to the charge and discharge parameter preset module, for calculating the output ratio monthly average value of the two sets of charge and discharge parameters under the constraints of the anti-backflow protection mechanism and the anti-overcapacity protection mechanism The first calculation module comprises a first calculation module and a second calculation module, and a third calculation module. The first calculation module comprises a first calculation module and a second calculation module, and a third calculation module. The first calculation module comprises a first calculation module and a second calculation module, and a third calculation module. The first calculation module comprises a second calculation module and a third ...

[0013] The third aspect of the present invention provides an electronic device, comprising: a processor, a communication interface, a memory and a communication bus, wherein the processor, the communication interface and the memory communicate with each other through the communication bus; the memory is used to store computer programs; and the processor is used to implement any of the method steps described above when executing the program stored in the memory.

[0014] A fourth aspect of the present invention provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, any of the above-described method steps is implemented.

[0015] In summary, this application includes at least one of the following beneficial technical effects:

[0016] 1. This invention presets two sets of parameters based on local electricity price data, the user's electricity usage data from the previous year, and transformer capacity. The method then calculates the monthly average output ratio, the monthly average charge and discharge factor, and the annual discharge volume for these two sets of parameters. The more advantageous parameters are then selected by comparing the results. Compared to the existing method of simply estimating the installed capacity and maximum charge and discharge power of the energy storage system based on the user's past electricity usage, this method can more accurately select the appropriate model through multiple comparisons. It also provides mechanisms to prevent backflow and overcapacity, and can better respond to user needs.

[0017] 2. The present invention can obtain the discharge status of the energy stored in the energy storage system corresponding to the preset charge and discharge parameters under the anti-reverse flow and anti-overcapacity constraints within the specified peak power period by calculating the monthly average output ratio.

[0018] 3. By calculating the average monthly charge and discharge factors, the present invention can obtain the charge and discharge efficiency of the energy storage system corresponding to the preset charge and discharge parameters under the anti-reverse flow and anti-overcapacity constraints. By calculating the monthly annual discharge total, the present invention can obtain the annual discharge total of the energy storage system corresponding to the preset charge and discharge parameters under the anti-reverse flow and anti-overcapacity constraints. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] Figure 1 This is a flow chart of a method for analyzing installed capacity of an energy storage system in a preferred embodiment of the present application.

[0020] Figure 2 It is a structural diagram of an installed capacity analysis device for an energy storage system in a preferred embodiment of the present application.

[0021] Description of the accompanying drawings: 100, charge and discharge parameter preset module; 200, first calculation module; 300, second calculation module; 400, third calculation module; 500, data processing module. DETAILED DESCRIPTION

[0022] The present application is further described in detail below with reference to the accompanying drawings.

[0023] The first aspect of the present application provides a method for analyzing the installed capacity of an energy storage system, referring to Figure 1 , a method for analyzing installed capacity of an energy storage system of the present application comprises the following steps:

[0024] S1. Obtain local electricity price data, user electricity consumption data from the previous year, and transformer capacity Q 变 , and preset two sets of charging and discharging parameters for the energy storage system.

[0025] Among them, local electricity price data includes multiple peak power periods and multiple valley power periods in a local single day. The specific hours of peak power periods and valley power periods are determined according to local electricity price policies. The user's electricity consumption data for the previous year includes a scatter plot of the instantaneous power analysis of the electricity consumption side every month in the previous year, a pie chart of the instantaneous power analysis of the electricity consumption side every month, and the instantaneous active power P of the electricity consumption side every 15 minutes in a single day in the previous year. 瞬 The monthly instantaneous power analysis scatter plot of the electricity consumption side takes the single day time as the horizontal axis, and the instantaneous active power P of the electricity consumption side within every 15 minutes during the peak power period of a single day of each month is used as the horizontal axis. 瞬 As the vertical axis, the monthly instantaneous power analysis pie chart of the electricity consumption side includes the proportion of all scattered points in each power segment in that month, and the charging and discharging parameters include the maximum discharge power P 放 , Maximum charging power P充 and energy storage system capacity Q 储 .

[0026] It should be noted that the two preset sets of charging and discharging parameters are the charging and discharging parameters corresponding to commonly used models on the market. Through the monthly instantaneous power analysis pie chart on the electricity consumption side, the proportion of all scattered points in each power segment of that month can be obtained. Then, two suitable models are selected in the power segment with the largest proportion of scattered points. Finally, the preset models for each month are summarized, and the parameters corresponding to the two models with the most preset times are selected as the preset charging and discharging parameters of the energy storage system.

[0027] S2. Under the constraints of the anti-backflow protection mechanism and the anti-overcapacity protection mechanism, the monthly average output ratio, the monthly average charge and discharge factor, and the annual discharge total are calculated for the two sets of charge and discharge parameters, and the monthly average output ratio instance set, the monthly average charge and discharge factor instance set, and the annual discharge total instance set are obtained respectively.

[0028] Among them, the anti-reverse flow protection mechanism includes: during the peak power period, the maximum discharge power P 放 Satisfy P 放 <P 瞬 -0.05*Q 变 ; Anti-overcapacity protection mechanism includes: During the valley period, the maximum charging power P 充 Satisfy P 充 <0.9*Q 变 -P 瞬 The monthly average output ratio instance set includes the collection of monthly average output ratios calculated by the two sets of charge and discharge parameters; the monthly charge and discharge factor average instance set includes the collection of monthly charge and discharge factor averages calculated by the two sets of charge and discharge parameters; the annual discharge total instance set includes the collection of annual discharge totals calculated by the two sets of charge and discharge parameters.

[0029] S3. Compare the data in the same example set. If the comparison result shows that two data of a charge and discharge parameter are better than another charge and discharge parameter, then take the charge and discharge parameter as the optimal preset solution.

[0030] The present invention presets two sets of charge and discharge parameters for the energy storage system based on local electricity price data, the user's electricity usage data from the previous year, and the transformer capacity. The method then calculates the monthly average output ratio, the monthly average charge and discharge factor, and the annual discharge volume for the two sets of charge and discharge parameters. The more advantageous parameters are then selected based on the comparison results. Compared to the prior art method of simply estimating the installed capacity and maximum charge and discharge power of the energy storage system based on the user's past electricity usage, this method can more accurately select the most suitable model through multiple comparisons. Furthermore, it incorporates mechanisms to prevent backflow and overcapacity, enabling a better response to user needs.

[0031] In a specific embodiment, step S2 specifically includes:

[0032] S21, the maximum discharge power P of a single month for the two sets of charge and discharge parameters is calculated by the following formula 放 Allowable fluctuation range Perform the calculation:

[0033] Among them, the peak power period of a single day has multiple segments, H is the number of hours of the first peak power period in a single day,

[0034] S22, take The median P 中 , and according to the median P 中 And the scatter plot of the corresponding month, determine and The ratio of the number of internal scatter points is the monthly output ratio.

[0035] It should be noted that the larger the monthly output ratio, the more periods during which the energy storage system corresponding to the charge and discharge parameters can reach full discharge power during the specified peak power period, and the stronger the discharge capacity.

[0036] S23. Obtain the monthly average output ratio of the previous year based on the monthly output ratio.

[0037] Wherein, obtaining the monthly average output ratio of the previous year based on the monthly output ratio of each month includes accumulating the monthly output ratios of each month of the previous year and dividing the result by 12 to obtain the monthly average output ratio of the previous year.

[0038] It should be noted that the output ratio is the maximum discharge power P in a single month. 放 Allowable fluctuation range Median P 中 The number of scattered points above and the median P 中 For the ratio of the number of scattered points below, if the output ratio is greater than 1, it is considered that the energy storage system can be fully discharged during the peak power period. By calculating the monthly average output ratio, the present invention can obtain the discharge of the energy stored in the energy storage system corresponding to the preset charge and discharge parameters under the anti-reverse current constraint within the specified peak power period. The higher the monthly average output ratio, the stronger the discharge capacity corresponding to the charge and discharge parameters, and the greater the advantage.

[0039] In a specific embodiment, step S2 specifically includes:

[0040] S24. Calculate the monthly charge and discharge factor averages of the two sets of charge and discharge parameters.

[0041] S241, determine whether the two groups of charge and discharge parameters meet P in the peak period 放 <P 瞬 -0.05*Q 变 ,

[0042] If satisfied, then pass Q 放=P 放 *(15 / 60) gets the discharge power Q every 15 minutes during the peak period 放 ,

[0043] If not satisfied, pass Q 放 =(P 瞬 -0.05*Q 变 )*(15 / 60) to get the discharge power Q every 15 minutes during the peak period 放 .

[0044] S242, determine whether the two sets of charge and discharge parameters meet P in the valley period 充 <0.9*Q 变 -P 瞬 , if satisfied, then pass Q 充 =P 充 *(15 / 60) gets the charging capacity Q every 15 minutes during the off-peak period 充 If not satisfied, then pass Q 充 =(0.9*Q 变 -P 瞬 )*(15 / 60) to get the charging capacity Q every 15 minutes during the off-peak period 充 .

[0045] S243, according to Q 放 Get the daily discharge power Q during the peak power period of a single day i日放 , according to Q 充 Get the daily charging capacity Q during the valley period of a single day i日充 .

[0046] S244, through Get the monthly charge and discharge factor λ for a single month j , where n is the number of days in the month, and the monthly charge and discharge factor λ is used j Get the monthly average value of charge and discharge factors.

[0047] The monthly charge and discharge factor average is calculated by dividing the monthly charge and discharge factor λ by j Add and divide by 12 to get.

[0048] S25, pass Get the total annual discharge Q of the previous year 总放 , where d is the number of days in the previous year.

[0049] It should be noted that the monthly charge and discharge factor is the monthly charge and discharge power and the energy storage system capacity Q 储The ratio represents the degree of closeness to full charge and discharge. For example, if both charge and discharge are met, the monthly charge and discharge factor is 2, which is usually between 1 and 2. The present invention calculates the average value of the monthly charge and discharge factor to obtain the charge and discharge efficiency of the energy storage system corresponding to the preset charge and discharge parameters under the anti-reverse flow and anti-overcapacity constraints. The higher the average value of the monthly charge and discharge factor, the higher the energy storage system corresponding to the charge and discharge parameters can charge and discharge within the specified time, and the more advantageous it is. By calculating the total annual discharge, the total discharge of the energy storage system corresponding to the preset charge and discharge parameters in one year under the anti-reverse flow constraint can be obtained. The higher the total annual discharge, the stronger the load capacity, and the better it can take over the load work of the power grid during peak power hours, which can save more electricity purchase costs.

[0050] The second aspect of the present application provides an installed capacity analysis device for an energy storage system, such as Figure 2 Shown, including:

[0051] The charge and discharge parameter preset module 100 is used to obtain local electricity price data, user electricity consumption data for the previous year and transformer capacity, and preset two sets of charge and discharge parameters for the energy storage system.

[0052] The first calculation module 200 is connected to the charge and discharge parameter preset module 100, and is used to receive two sets of charge and discharge parameters, and calculate the output ratio monthly average value of the two sets of charge and discharge parameters under the constraints of the anti-backflow protection mechanism and the anti-overcapacity protection mechanism to obtain an output ratio monthly average value instance set.

[0053] The second calculation module 300 is connected to the charge and discharge parameter preset module 100, and is used to receive two sets of charge and discharge parameters, and under the constraints of the anti-backflow protection mechanism and the anti-overcapacity protection mechanism, calculate the monthly charge and discharge factor mean of the two sets of charge and discharge parameters, and obtain a set of monthly charge and discharge factor mean instance values.

[0054] The third calculation module 400 is connected to the charge and discharge parameter preset module 100, and is used to receive two sets of charge and discharge parameters, and under the constraints of the anti-backflow protection mechanism and the anti-overcapacity protection mechanism, calculate the annual discharge total amount of the two sets of charge and discharge parameters, and obtain an annual discharge total amount instance set.

[0055] The data processing module 500 is connected to the first calculation module 200, the second calculation module 300 and the third calculation module 400, and is used to receive a set of monthly average output ratio examples, a set of monthly charge and discharge factor average examples, and a set of annual total discharge examples, and compare the data within the same set of examples. If two comparison data of one set of charge and discharge parameters are better than those of another set of charge and discharge parameters, then the charge and discharge parameters of the set are selected as the optimal preset solution.

[0056] A third aspect of the present application provides an electronic device, including a processor, a communication interface, a memory and a communication bus, wherein the processor, the communication interface and the memory communicate with each other via the communication bus.

[0057] Memory, used to store computer programs.

[0058] The processor is configured to implement any of the above method steps when executing a program stored in the memory.

[0059] A fourth aspect of the present application provides a computer-readable storage medium, in which a computer program is stored. When the computer program is executed by a processor, any of the above method steps is implemented.

[0060] The above are all preferred embodiments of the present application, and are not intended to limit the scope of protection of the present application. Therefore, any equivalent changes made based on the structure, shape, and principle of the present application should be included in the scope of protection of the present application.

Claims

1. A method for analyzing installed capacity of an energy storage system, characterized in that: include: Obtain local electricity price data, user electricity consumption data from the previous year, and transformer capacity Q 变 , and preset two sets of charging and discharging parameters for the energy storage system; Under the constraints of the anti-backflow protection mechanism and the anti-overcapacity protection mechanism, the monthly average output ratio, the monthly average charge and discharge factor, and the annual discharge volume are calculated for the two sets of charge and discharge parameters, and the monthly average output ratio instance set, the monthly average charge and discharge factor instance set, and the annual discharge volume instance set are obtained respectively; Comparing the data within the same instance set, if the comparison result shows that two data of a charge and discharge parameter are better than another charge and discharge parameter, then the charge and discharge parameter is taken as the optimal preset solution.

2. The method for analyzing installed capacity of an energy storage system according to claim 1, wherein: The electricity consumption data of the previous year include the monthly instantaneous power analysis scatter plot of the electricity consumption side, the monthly instantaneous power analysis pie chart of the electricity consumption side, the instantaneous active power P of the electricity consumption side every 15 minutes of a single day in the previous year, and the instantaneous active power P of the electricity consumption side every 15 minutes of a single day in the previous year. 瞬 ; The monthly power consumption side instantaneous power analysis scatter plot takes the single day time as the horizontal axis and the instantaneous active power P of the power consumption side within every 15 minutes of a single day of each month as the horizontal axis. 瞬 The vertical axis is the monthly instantaneous power analysis pie chart of the electricity consumption side, including the proportion of all scattered points in each power segment in that month; The charge and discharge parameters include the maximum discharge power P 放 , Maximum charging power P 充 and energy storage system capacity Q 储 .

3. The method for analyzing installed capacity of an energy storage system according to claim 1, wherein: The anti-backflow protection mechanism includes: during the peak power period, the maximum discharge power P 放 Satisfy P 放 <P 瞬 -0.05*Q 变 ; The over-capacity protection mechanism includes: during the valley period, the maximum charging power P 充 Satisfy P 充 <0.9*Q 变 -P 瞬 .

4. The method for analyzing installed capacity of an energy storage system according to claim 3, wherein: Under the constraints of the anti-reverse flow protection mechanism and the anti-overcapacity protection mechanism, the monthly average output ratio of the two sets of charge and discharge parameters is calculated, including: The maximum discharge power P of a single month for the two groups of charge and discharge parameters is calculated by the following formula: 放 Allowable fluctuation range Perform the calculation: The peak power period of a single day has multiple segments, and H is the number of hours of the first peak power period in a single day; Pick The median P 中 , and according to the median P 中 And the scatter plot of the corresponding month, determine and The ratio of the number of internal scatter points is the monthly output ratio; Based on the monthly output ratio of each month, the monthly average output ratio of the previous year is obtained.

5. The method for analyzing installed capacity of an energy storage system according to claim 3, wherein: Under the constraints of the anti-reverse flow protection mechanism and the anti-overcapacity protection mechanism, the monthly charge and discharge factor average and the annual discharge total are calculated for the two sets of charge and discharge parameters, including: Determine whether the two sets of charge and discharge parameters meet P in the peak period 放 <P 瞬 -0.05*Q 变 , if satisfied, then pass Q 放 =P 放 *(15 / 60) gets the discharge power Q every 15 minutes during the peak period 放 If not satisfied, then pass Q 放 =(P 瞬 -0.05*Q 变 )*(15 / 60) to get the discharge power Q every 15 minutes during the peak period 放 ; Determine whether the two sets of charge and discharge parameters meet P in the valley period 充 <0.9*Q 变 -P 瞬 , if satisfied, then pass Q 充 =P 充 *(15 / 60) gets the charging capacity Q every 15 minutes during the off-peak period 充 If not satisfied, then pass Q 充 =(0.9*Q 变 -P 瞬 )*(15 / 60) to get the charging capacity Q every 15 minutes during the off-peak period 充 ; According to Q 放 Get the daily discharge power Q during the peak power period of a single day i日放 , according to Q 充 Get the daily charging capacity Q during the valley period of a single day i日充 ; pass Get the monthly charge and discharge factor λ for a single month j , where n is the number of days in the month, and the monthly charge and discharge factor λ is used j Get the monthly average value of charge and discharge factors; pass Get the total annual discharge Q of the previous year 总放 , where d is the number of days in the previous year.

6. An installed capacity analysis device for an energy storage system, characterized in that: include: A charge and discharge parameter preset module (100) is used to obtain local electricity price data, user electricity consumption data for the previous year and transformer capacity, and preset two sets of charge and discharge parameters for the energy storage system; A first calculation module (200) is connected to the charge and discharge parameter preset module (100) and is used to calculate the monthly average output ratio of two groups of charge and discharge parameters under the constraints of the backflow protection mechanism and the overcapacity protection mechanism, and obtain an example set of the monthly average output ratio; A second calculation module (300) is connected to the charge and discharge parameter preset module (100) and is used to calculate the monthly charge and discharge factor mean values for the two groups of charge and discharge parameters under the constraints of the backflow prevention protection mechanism and the overcapacity prevention protection mechanism, and obtain a set of monthly charge and discharge factor mean value instances; A third calculation module (400) is connected to the charge and discharge parameter preset module (100) and is used to calculate the annual discharge amount for the two sets of charge and discharge parameters under the constraints of the anti-backflow protection mechanism and the anti-overcapacity protection mechanism, and obtain an annual discharge amount instance set; The data processing module (500) is connected to the first calculation module (200), the second calculation module (300) and the third calculation module (400) and is used to compare data in the same instance set. If two comparison data of one set of charge and discharge parameters are better than those of another set of charge and discharge parameters, the charge and discharge parameters are taken as the optimal preset solution.

7. An electronic device, characterized in that: It includes a processor, a communication interface, a memory and a communication bus, wherein the processor, the communication interface and the memory communicate with each other via the communication bus; Memory for storing computer programs; A processor, configured to implement the method steps described in any one of claims 1 to 5 when executing a program stored in a memory.

8. A computer-readable storage medium, characterized in that The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the method steps of any one of claims 1 to 5 are implemented.

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