A method, device, equipment and medium for analyzing installed capacity of an energy storage system

Abstract

The application relates to a method for analyzing the installed capacity of an energy storage system, comprising the following steps: acquiring local electricity price data, user electricity consumption data of the last year and transformer capacity Q 变 , and presetting two groups of charge-discharge parameters of the energy storage system; under the constraints of an anti-flow protection mechanism and an anti-overcapacity protection mechanism, performing output ratio monthly average value, monthly charge-discharge factor average value and annual discharge total amount calculation on the two groups of charge-discharge parameters, and respectively obtaining an output ratio monthly average value instance set, a monthly charge-discharge factor average value instance set and an annual discharge total amount instance set; comparing the data in the same instance set, if the comparison result is that one charge-discharge parameter has two data larger than another charge-discharge parameter, the charge-discharge parameter is taken as an optimal preset scheme. The application can more accurately select a suitable model through multiple comparisons, and sets the anti-flow and anti-overcapacity mechanisms, so that the user demand can be better responded.

Description

TECHNICAL FIELD

[0001] The application relates to the technical field of energy storage system capacity, in particular to an installed capacity analysis method, device and equipment of an energy storage system and a medium. BACKGROUND

[0002] The energy storage system is a device or a combination of technologies capable of storing and releasing electric energy when needed, and its core function is to solve the mismatch of power supply and demand in time, space or intensity, improve energy utilization efficiency, enhance the stability of the power grid and the consumption capacity of renewable energy, such as the electric energy generated by photovoltaic power generation and wind power generation.

[0003] The electricity price of some regions in different time periods is different, so the energy storage system is also used to drive the load as the output main force in the period when the electricity price is at the peak, and to store electricity from the power grid in the period when the electricity price is at the trough, and users usually hope to maintain the operation of the load at the lowest possible electricity cost, thereby requiring the energy storage system to be fully charged in the valley electricity period and to be fully discharged in the peak electricity period, so that the installed capacity and the maximum charge and discharge power are important factors to be considered in the system design of the energy storage system.

[0004] Excessive installed capacity and maximum charge and discharge power can easily lead to the situation that the energy storage system cannot be fully charged in the valley electricity period and cannot be fully discharged in the peak electricity period, thereby causing waste of energy storage resources, and too small installed capacity and maximum charge and discharge power cannot maximize economic benefits. The energy storage system designer generally estimates the installed capacity and the maximum charge and discharge power of the energy storage system according to the past electricity consumption of the user, but this estimation method is relatively simple and does not consider the reverse flow and overcapacity, resulting in that the final installed effect does not meet the expectation. Therefore, how to accurately estimate the installed capacity and the maximum charge and discharge power of the energy storage system suitable for the project demand in combination with the mainstream models of the existing energy storage system is a problem to be solved by the person skilled in the art. SUMMARY

[0005] The application provides an installed capacity analysis method, device, equipment and medium of an energy storage system.

[0006] The installed capacity analysis method, device, equipment and medium of the energy storage system provided by the application adopt the following technical solutions:

[0007] The first aspect of the application provides an installed capacity analysis method of an energy storage system, comprising: acquiring local electricity price data, user's electricity consumption data in the last year and transformer capacity Q 变Two sets of charging and discharging parameters for the energy storage system are preset. Under the constraints of the anti-reverse current protection mechanism and the anti-overcapacity protection mechanism, the monthly average output ratio, the monthly average charge-discharge factor, and the annual total discharge are calculated for the two sets of charging and discharging parameters, and the example sets of the monthly average output ratio, the monthly average charge-discharge factor, and the annual total discharge are obtained respectively. If the data in the same example set are compared, and the comparison result shows that two data points of one charging and discharging parameter are better than those of the other charging and discharging parameter, then that charging and discharging parameter is taken as the optimal preset scheme.

[0008] Preferably, the electricity consumption data for the previous year includes a scatter plot of instantaneous power analysis on the monthly electricity consumption side, a pie chart of instantaneous power analysis on the monthly electricity consumption side, and the instantaneous active power P on the electricity consumption side for every 15 minutes on a single day in the previous year. 瞬 The scatter plot of instantaneous power analysis on the monthly electricity consumption side uses the day as the horizontal axis and the instantaneous active power P on the electricity consumption side within 15 minutes of each day of the month as the vertical axis. 瞬 The pie chart showing the instantaneous power analysis of monthly electricity consumption, with the vertical axis as the ordinate, includes the percentage of all points in each power segment for that 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-reverse current protection mechanism includes: during peak power periods, the maximum discharge power P 放 Satisfy P 放 <P 瞬 -0.05*Q 变 The overcapacity protection mechanism includes: during off-peak hours, the maximum charging power P... 充 Satisfy P 充 <0.9*Q 变 -P 瞬 .

[0010] Preferably, under the constraints of the anti-reverse current 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: calculating the maximum monthly discharge power P of the two sets of charge and discharge parameters using the following formula. 放 Allowable fluctuation range Perform the calculation: Among them, the peak power period of a single day has multiple segments, and H is the number of hours of the first peak power period within a single day; Pick median P 中 And according to the median P 中 And the scatter plot of the corresponding months, determine and The ratio of the number of internal scattered points is the monthly output ratio; the monthly average of the output ratio for the previous year is obtained based on the monthly output ratio for each month.

[0011] Preferably, under the constraints of the anti-reflux protection mechanism and the anti-overcapacity protection mechanism, the monthly charge-discharge factor average and the annual total discharge amount are calculated for the two groups of charge-discharge parameters, including: judging whether the two groups of charge-discharge parameters meet P 放 <P 瞬 -0.05*Q 变 , if yes, the discharge amount Q 放 of the peak electricity period every 15 minutes is obtained through Q 放 = P 放 *(15 / 60), if not, the discharge amount Q 放 of the peak electricity period every 15 minutes is obtained through Q 瞬 =(P 变 -0.05*Q 放 )*(15 / 60); judging whether the two groups of charge-discharge parameters meet P 充 <0.9*Q 变 -P 瞬 , if yes, the charging amount Q 充 of the valley electricity period every 15 minutes is obtained through Q 充 = P 充 *(15 / 60), if not, the charging amount Q 充 of the valley electricity period every 15 minutes is obtained through Q 变 =(0.9*Q 瞬 -P 充 )*(15 / 60); the daily discharge amount Q 放 of the peak electricity period of a single day is obtained according to Q i日放 , and the daily charging amount Q 充 of the valley electricity period of a single day is obtained according to Q i日充 ; the monthly charge-discharge factor λ j of a single month is obtained through , where n is the number of days in the month, and the monthly charge-discharge factor average is obtained according to the monthly charge-discharge factor λ j of each month; the annual total discharge amount Q 总放 of the last year is obtained through , where d is the number of days in the last year.

[0012] The second aspect of the application provides a device for analyzing installed capacity of an energy storage system, comprising: a charging and discharging parameter preset module, configured to obtain local electricity price data, user electricity consumption data of the previous year and transformer capacity, and preset two groups of charging and discharging parameters of the energy storage system; a first calculation module connected to the charging and discharging parameter preset module, configured to calculate output ratio monthly average of the two groups of charging and discharging parameters under the constraints of anti-backflow protection mechanism and anti-overcapacity protection mechanism, and obtain an output ratio monthly average instance set; a second calculation module connected to the charging and discharging parameter preset module, configured to calculate monthly charging and discharging factor average of the two groups of charging and discharging parameters under the constraints of anti-backflow protection mechanism and anti-overcapacity protection mechanism, and obtain a monthly charging and discharging factor average instance set; a third calculation module connected to the charging and discharging parameter preset module, configured to calculate annual total discharging amount of the two groups of charging and discharging parameters under the constraints of anti-backflow protection mechanism and anti-overcapacity protection mechanism, and obtain an annual total discharging amount instance set; and a data processing module connected to the first calculation module, the second calculation module and the third calculation module, configured to compare data in the same instance set, and if two comparison data of one group of charging and discharging parameters are better than those of the other group of charging and discharging parameters, the charging and discharging parameters of the one group are taken as an optimal preset scheme.

[0013] The third aspect of the application 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 complete communication with each other through the communication bus; the memory is used to store a computer program; and the processor is used to execute the program stored in the memory to realize the method steps of any of the above aspects.

[0014] The fourth aspect of the application provides a computer readable storage medium, wherein the computer readable storage medium stores a computer program, and the computer program is executed by a processor to realize the method steps of any of the above aspects.

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

[0016] 1. The present application presets two groups of parameters according to local electricity price data, user electricity consumption data of the previous year and transformer capacity, and calculates output ratio monthly average, monthly charging and discharging factor average and annual total discharging amount of the two groups of parameters, and then selects the more advantageous parameters through comparison, which is more accurate than the prior art in which the installed capacity and maximum charging and discharging power of the energy storage system are simply estimated according to the user's past electricity consumption, and the anti-backflow and anti-overcapacity mechanisms are set to better respond to user needs.

[0017] 2. The application can obtain the discharge condition of the energy stored by the corresponding energy storage system under the anti-flow and anti-over capacity constraints in the specified peak electricity period by calculating the output ratio monthly average.

[0018] 3. The application can obtain the charging and discharging efficiency of the corresponding energy storage system under the anti-flow and anti-over capacity constraints by calculating the monthly charging and discharging factor average, and can obtain the total discharge amount of the corresponding energy storage system under the anti-flow and anti-over capacity constraints in a year by calculating the monthly and annual total discharge amount. BRIEF DESCRIPTION OF DRAWINGS

[0019] Figure 1 is a flowchart of an energy storage system installed capacity analysis method in a preferred embodiment of the application.

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

[0021] Reference Signs List: 100, charging and discharging parameter preset module; 200, first calculation module; 300, second calculation module; 400, third calculation module; 500, data processing module. DETAILED DESCRIPTION

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

[0023] The first aspect of the application provides an energy storage system installed capacity analysis method, referring to Figure 1 The energy storage system installed capacity analysis method of the application includes the following steps:

[0024] S1, obtaining local electricity price data, user's last year's electricity data and transformer capacity Q 变 , and presetting two groups of charging and discharging parameters of the energy storage system.

[0025] Among them, the local electricity price data includes a plurality of peak electricity periods and a plurality of valley electricity periods in a single day, and the specific number of hours of the peak electricity period and the valley electricity period is determined according to the local electricity price policy, the user's last year's electricity data includes the monthly electricity side instantaneous power analysis scatter plot in the last year, the monthly electricity side instantaneous power analysis pie chart, the electricity side instantaneous active power P 瞬 in each 15 minutes of a single day in the last year, the monthly electricity side instantaneous power analysis scatter plot takes the single day time as the abscissa and the electricity side instantaneous active power P 瞬 in each 15 minutes of the peak electricity period of a single day as the ordinate, the monthly electricity side instantaneous power analysis pie chart includes the proportion of all scatter points in each power segment, the charging and discharging parameters include the maximum discharge power P 放 , the maximum charging power P充 and energy storage system capacity Q 储 .

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

[0027] S2, under the constraints of the anti-flow protection mechanism and the anti-capacity protection mechanism, the output ratio monthly average, the monthly charging and discharging factor average and the annual discharge total of the two groups of charging and discharging parameters are calculated, and the output ratio monthly average instance set, the monthly charging and discharging factor average instance set and the annual discharge total instance set are obtained.

[0028] Among them, the anti-flow protection mechanism includes: in the peak electricity period, the maximum discharge power P 放 satisfies P 放 <P 瞬 -0.05*Q 变 ; the anti-capacity protection mechanism includes: in the valley electricity period, the maximum charging power P 充 satisfies P 充 <0.9*Q 变 -P 瞬 ; the output ratio monthly average instance set includes the union of the output ratio monthly average calculated by the two groups of charging and discharging parameters; the monthly charging and discharging factor average instance set includes the union of the monthly charging and discharging factor average calculated by the two groups of charging and discharging parameters; and the annual discharge total instance set includes the union of the annual discharge total calculated by the two groups of charging and discharging parameters.

[0029] S3, compared with the data in the same instance set, if the comparison result is that one charging and discharging parameter has two data better than the other charging and discharging parameter, then the charging and discharging parameter is taken as the optimal preset scheme.

[0030] The application presets two groups of charging and discharging parameters of the energy storage system through local electricity price data, user's electricity consumption data in the past year and transformer capacity, and calculates the output ratio monthly average, the monthly charging and discharging factor average and the annual discharge total of the two groups of charging and discharging parameters, and then selects the more advantageous parameters through the comparison result, compared with the prior art which simply estimates the installed capacity and the maximum charging and discharging power of the energy storage system through the user's past electricity consumption, the method can more accurately select the most suitable model through multiple comparisons, and the anti-flow and anti-capacity mechanisms can better respond to user demand.

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

[0032] S21. Calculate the maximum monthly discharge power P of the two sets of charge / discharge parameters using the following formula. 放 Allowable fluctuation range Perform the calculation:

[0033] The daily peak power period consists of multiple segments, where H represents the hour of the first peak power period within a single day.

[0034] S22, Take median P 中 And based on the median P 中 And the scatter plot of the corresponding months, determine and The ratio of the number of internal scattered points is the monthly output ratio.

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

[0036] S23. Calculate the monthly average output ratio for the previous year based on the monthly output ratio.

[0037] The method of obtaining the monthly average output ratio of the previous year based on the monthly output ratio of each month includes summing the monthly output ratios of each month in the previous year and dividing 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 Inner median P 中 The above scatter plot count and median P 中 The following ratio of the number of scattered points, if the output ratio is greater than 1, is considered that the energy storage system can be fully discharged during the peak power period. By calculating the monthly average value of the output ratio, this invention can obtain the discharge situation of the energy stored in the energy storage system corresponding to the preset charging and discharging parameters during the specified peak power period under the anti-reverse current constraint. The higher the monthly average value of the output ratio, the stronger the discharge capacity corresponding to the charging and discharging parameters, and the more advantageous it is.

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

[0040] S24. Calculate the monthly average charge-discharge factor of the two sets of charge-discharge parameters.

[0041] S241. Determine whether the two sets of charging and discharging parameters satisfy P during the peak power period. 放 <P 瞬 -0.05*Q 变 ,

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

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

[0044] S242. Determine whether the two sets of charging and discharging parameters satisfy P during off-peak hours. 充 <0.9*Q 变 -P 瞬 If satisfied, then proceed through Q. 充 =P 充 *(15 / 60) gives the charging amount Q every 15 minutes during off-peak hours. 充 If not satisfied, then through Q 充 =(0.9*Q) 变 -P 瞬 )*(15 / 60) gives the charging amount Q every 15 minutes during off-peak hours. 充 .

[0045] S243, according to Q 放 The daily discharge amount Q during the peak power period of a single day is obtained. i日放 According to Q 充 Obtain the daily charging volume Q during off-peak hours. i日充 .

[0046] S244, Through The monthly charge-discharge factor λ for a single month is obtained. j Where n is the number of days in the month, and is based on the monthly charge-discharge factor λ. j The average monthly charge-discharge factor was obtained.

[0047] The average monthly charge-discharge factor is calculated by taking the monthly charge-discharge factor λ for each month. j The sum is obtained by dividing by 12.

[0048] S25, Through The total annual discharge Q of the previous year was obtained. 总放 , where d is the number of days in the previous year.

[0049] It should be noted that the monthly charge-discharge factor is the ratio of the monthly charge-discharge amount to the energy storage system capacity Q. 储The ratio represents the degree of near-full charge and discharge. For example, if both charge and discharge conditions are met, the monthly charge-discharge factor is 2, usually between 1 and 2. This invention calculates the average monthly charge-discharge factor to obtain the charge-discharge efficiency of the energy storage system corresponding to the preset charge-discharge parameters under anti-reverse current and anti-overcapacity constraints. The higher the average monthly charge-discharge factor, the higher the energy that the energy storage system corresponding to the charge-discharge parameters can charge and discharge within a specified time, and the more advantageous it is. By calculating the total annual discharge, the total annual discharge of the energy storage system corresponding to the preset charge-discharge parameters under anti-reverse current constraints can be obtained. The higher the total annual discharge, the stronger the load-carrying capacity, and the better it can take over the load-carrying work of the grid during peak power periods, thus saving more on electricity purchase costs.

[0050] The second aspect of this application provides an installed capacity analysis device for an energy storage system, such as... Figure 2 As shown, it includes:

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

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

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

[0054] The third calculation module 400 is connected to the charge and discharge parameter preset module 100. It is used to receive two sets of charge and discharge parameters, and under the constraints of the anti-reverse current protection mechanism and the anti-overcapacity protection mechanism, calculate the annual discharge total of the two sets of charge and discharge parameters, and obtain the annual discharge total 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. It is used to receive the monthly average value instance set, the monthly charge and discharge factor average value instance set and the annual discharge total value instance set, and compare the data in the same instance set. If two of the comparison data of one set of charge and discharge parameters are better than the other set of charge and discharge parameters, then the charge and discharge parameters are taken as the optimal preset scheme.

[0056] A third aspect of this 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 is used to store computer programs.

[0058] When a processor executes a program stored in memory, it implements any of the above method steps.

[0059] A fourth aspect of this application provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements any of the method steps described above.

[0060] The above are all preferred embodiments of this application, and are not intended to limit the scope of protection of this application. Therefore, all equivalent changes made in accordance with the structure, shape and principle of this application should be covered within the scope of protection of this application.

Claims

1. A method of installed capacity analysis of an energy storage system, characterized by, Comprise: Obtain local electricity price data, user's last year's electricity data and transformer capacity And preset two groups of charge and discharge parameters of energy storage system Under the constraints of the anti-backflow protection mechanism and the anti-overcapacity protection mechanism, the output ratio monthly average, the monthly charge-discharge factor average and the annual discharge total of the two groups of charge-discharge parameters are calculated, and the output ratio monthly average instance set, the monthly charge-discharge factor average instance set and the annual discharge total instance set are obtained respectively; By comparing the data in the same instance set, if the comparison result is that two data of a charge-discharge parameter are better than another charge-discharge parameter, the charge-discharge parameter is taken as the optimal preset scheme; The anti-reverse flow protection mechanism includes: in the peak power period, the maximum discharge power satisfies The anti-over capacity protection mechanism includes: in the valley power period, the maximum charging power satisfies , is the power side instantaneous active power in each 15 minutes of a single day within the last year; Under the constraints of the anti-backflow protection mechanism and the anti-overcapacity protection mechanism, the output ratio monthly average of the two groups of charge-discharge parameters is calculated, comprising: The maximum discharge power of the two groups of the charge and discharge parameters in a single month is calculated by the following formula Allowed fluctuation range The calculation is performed: wherein the peak electricity time period of a single day has multiple segments, H is the number of hours of the first peak electricity time period within a single day, is the energy storage system capacity; ； Pick median and based on the median And the scatter plot of the corresponding months, determine and The ratio of the number of internal scatter points is the monthly output ratio. The scatter plot is a monthly analysis of the instantaneous power consumption on the electricity consumption side. The scatter plot uses the time of day as the horizontal axis and the instantaneous active power consumption on the electricity consumption side within 15 minutes of each day of the month. The vertical axis is used as the coordinate. The output ratio monthly average of the last year is obtained according to the monthly output ratio; Under the constraints of the anti-backflow protection mechanism and the anti-overcapacity protection mechanism, the monthly charge-discharge factor average and the annual discharge total of the two groups of charge-discharge parameters are calculated, comprising: determining whether the charging and discharging parameters of the two groups satisfy the condition in the peak electricity period , if yes, obtaining the discharging electricity amount of the peak electricity period every 15 minutes , if not, obtaining the discharging electricity amount of the peak electricity period every 15 minutes ;​​ Determine whether the two sets of charge and discharge parameters are satisfied during off-peak hours. If satisfied, then proceed. Receive charging power every 15 minutes during off-peak hours If not satisfied, then through Receive charging power every 15 minutes during off-peak hours ; According to obtaining the daily discharging electric quantity of the single-day peak electricity period , according to obtaining the daily charging electric quantity of the single-day valley electricity period ; By obtaining a monthly charge-discharge factor for the month where n is the number of days in the month, and according to the monthly charge-discharge factor for each month obtaining a monthly charge-discharge factor mean; By obtaining the total annual discharge of the previous year d is the number of days in the previous year.

2. The method for analyzing the installed capacity of the energy storage system according to claim 1, characterized in that, The electricity consumption data of the last year includes monthly electricity consumption side instantaneous power analysis scatter plot, monthly electricity consumption side instantaneous power analysis pie chart, single day electricity consumption side instantaneous active power every 15 minutes in the last year ; The monthly power consumption side instantaneous power analysis scatter diagram takes single-day time as the horizontal coordinate and takes the power consumption side instantaneous active power in each 15 minutes of a single day of a month as the vertical coordinate The monthly power consumption side instantaneous power analysis pie chart takes single-day time as the horizontal coordinate and takes the power consumption side instantaneous active power in each 15 minutes of a single day of a month as the vertical coordinate The charge and discharge parameters include a maximum discharge power , a maximum charge power , and a storage system capacity .

3. A device for analyzing installed capacity of an energy storage system, characterized by, The method steps of any one of claims 1-2 are implemented, comprising: The charge-discharge parameter preset module (100) is used for obtaining the local electricity price data, the user's annual electricity consumption data of the last year and the transformer capacity, and presetting two groups of charge-discharge parameters of the energy storage system; The first calculation module (200) is connected to the charge-discharge parameter preset module (100) and is used for calculating the output ratio monthly average of the two groups of charge-discharge parameters under the constraints of the anti-backflow protection mechanism and the anti-overcapacity protection mechanism, and obtaining the output ratio monthly average instance set; The second calculation module (300) is connected to the charge-discharge parameter preset module (100) and is used for calculating the monthly charge-discharge factor average of the two groups of charge-discharge parameters under the constraints of the anti-backflow protection mechanism and the anti-overcapacity protection mechanism, and obtaining the monthly charge-discharge factor average instance set; The third calculation module (400) is connected to the charge-discharge parameter preset module (100) and is used for calculating the annual discharge total of the two groups of charge-discharge parameters under the constraints of the anti-backflow protection mechanism and the anti-overcapacity protection mechanism, and obtaining the annual discharge total 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 for comparing the data in the same instance set. If two comparison data of one group of charge-discharge parameters are better than another group of charge-discharge parameters, the one group of charge-discharge parameters is taken as the optimal preset scheme.

4. An electronic device, comprising: The processor, the communication interface, the memory and the communication bus are connected to each other through the communication bus; The memory is used for storing the computer program; The processor is used for executing the computer program stored in the memory to realize the method steps of any one of claims 1-2.

5. A computer readable storage medium, characterized in that, The computer program is stored in the computer readable storage medium, and the computer program is executed by the processor to realize the method steps of any one of claims 1-2.

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