Energy storage capacity configuration method and system based on peak-valley charging and discharging power distribution

Abstract

The invention discloses an energy storage capacity configuration method and system based on peak-valley charging and discharging power distribution. The method comprises the following steps: acquiring a load data set of a user side in each natural month in a preset period; respectively counting the time-sharing load data of each natural month to obtain a measurement demand load of each natural month; calculating the chargeable amount of each charging time period and each discharging time period according to the calculated demand load and the time-sharing load data in the corresponding natural month, and carrying out statistics to obtain a preliminary capacity calculation value; performing statistical analysis on each initial capacity measurement value in a preset period to obtain a final capacity measurement value; and determining the design capacity of the energy storage equipment according to the final capacity measurement and calculation value. Compared with the prior art, the energy storage capacity can be configured based on the real-time data, and rationalization of energy storage capacity configuration and maximization of economic benefits are achieved under the condition that the burden of a user is not increased.

Description

Technical Field

[0001] The present invention relates to the technical field of energy storage capacity configuration of power systems, and in particular to an energy storage capacity configuration method and system based on peak-valley charging and discharging power distribution. Background Art

[0002] In the context of global energy transformation, the widespread use of renewable energy and the continued growth of electricity demand have brought unprecedented challenges and opportunities to the energy system. With the advancement of technology and the gradual promotion of smart grids, energy storage technology has received extensive attention and research as one of the key technologies to solve the imbalance between energy supply and demand and improve energy efficiency. Energy storage technology, especially electrochemical energy storage technology, such as lithium-ion batteries and sodium-sulfur batteries, has been widely used in power systems due to its advantages such as high energy density, high power density, and fast response speed. These energy storage devices can perform flexible charging and discharging operations according to the peak and valley periods of the power grid, effectively balancing the supply and demand of electricity, reducing the fluctuations of the power grid, and improving the stability and reliability of the power system.

[0003] However, although energy storage technology plays an increasingly important role in smart grids, how to scientifically and reasonably configure the capacity of energy storage equipment to meet the power demand at different times while ensuring the economic benefits of the energy storage system is still a technical problem that needs to be solved. Traditional energy storage capacity configuration methods are often estimated based on historical data and experience. Although this method is simple and easy to implement, it cannot accurately reflect the dynamic changes in the peak and valley periods of the power grid and the real-time fluctuations in power demand. Therefore, the energy storage capacity configured according to traditional methods often has problems of insufficient or excessive capacity, which may increase the demand electricity charges on the user side, causing economic burden on users, and may also lead to energy waste and fail to meet the rapid growth of power demand. Summary of the invention

[0004] In view of this, the purpose of the present invention is to provide a method and system for configuring energy storage capacity based on peak-valley charging and discharging power allocation, so as to solve the problems that the traditional capacity configuration method in the prior art cannot accurately reflect the fluctuations of the power grid during peak and valley periods, resulting in increased demand electricity charges on the user side and energy waste.

[0005] To achieve the above object, a technical solution of the present invention provides a method for configuring energy storage capacity based on peak-valley charging and discharging power distribution, which is used to configure the capacity of energy storage equipment according to the distribution of the discharge power of the energy storage system at peak electricity prices and the charging power at flat and low electricity prices. The energy storage capacity configuration method includes the following steps:

[0006] Obtaining a load data set of the user side in each natural month within a preset period, wherein the load data set includes time-sharing load data of each natural day in the corresponding natural month, and each natural day is divided into at least one charging period and at least one discharging period according to time periods;

[0007] The time-sharing load data of each natural month are statistically analyzed to obtain the estimated demand load of each natural month;

[0008] The chargeable capacity in the charging period and the dischargeable capacity in the discharging period are calculated according to the calculated demand load and the time-sharing load data in the corresponding natural month, and the preliminary capacity calculation value corresponding to each natural month is obtained by statistics;

[0009] Performing statistical analysis on the preliminary capacity calculation values ​​corresponding to each natural month within the preset period to obtain the final capacity calculation value;

[0010] The design capacity of the energy storage device is determined according to the final capacity calculation value.

[0011] Furthermore, in the step of obtaining the load data set of the user side in each natural month within a preset period, the charging period is defined as a first charging period with a first charging duration and a second charging period with a second charging duration, and the discharging period is defined as a first discharging period with a first discharging duration and a second discharging period with a second discharging duration, and the first charging period and the second charging period are arranged at intervals from the first discharging period and the second discharging period; the time-sharing load data of each natural day includes a number of first charging data corresponding to the first charging period, a number of second charging data corresponding to the second charging period, a number of first discharging data corresponding to the first discharging period, and a number of second discharging data corresponding to the second discharging period, and the first charging data, the second charging data, the first discharging data, and the second discharging data are real-time load values ​​of the energy storage system at each moment collected at equal time intervals within the corresponding period.

[0012] Furthermore, in the step of respectively performing statistics on the time-sharing load data of each natural month to obtain the calculated demand load of each natural month, the specific method for obtaining the calculated demand load is:

[0013] Iteratively comparing the first charging data, the second charging data, the first discharging data, and the second discharging data of each natural month, respectively, to determine the maximum values ​​of the first charging data, the second charging data, the first discharging data, and the second discharging data in each natural month;

[0014] The maximum value is determined as the maximum demand load of the corresponding natural month;

[0015] The maximum demand load is compensated to obtain the calculated demand load for each natural month.

[0016] Furthermore, the step of calculating the chargeable capacity in the charging period and the dischargeable capacity in the discharging period according to the calculated demand load and the time-sharing load data in the corresponding natural month, and obtaining the preliminary capacity calculation value corresponding to each natural month includes the following sub-steps:

[0017] Calculate the real-time charging power value at each moment according to the real-time load value at each moment in the first charging period and the second charging period of each natural day in each natural month and the measured demand load of the natural month;

[0018] Determine the real-time discharge power value at each moment according to the real-time load value at each moment in the first discharge period and the second discharge period of each natural day in each natural month;

[0019] The chargeable amount at each moment in the first charging period and the second charging period of each natural day is calculated according to the real-time charging power value, and the dischargeable amount at each moment in the first discharging period and the second discharging period of each natural day is calculated according to the real-time discharging power value, and the maximum chargeable and dischargeable amount corresponding to each period is calculated;

[0020] The maximum chargeable and dischargeable capacities of each time period are counted separately, and the Nth smallest maximum chargeable and dischargeable capacities in the corresponding time period of the current natural month are extracted according to the number of natural days with unplanned operation in the current natural month, and the preliminary capacity estimation value of each natural month is obtained according to the Nth smallest maximum chargeable and dischargeable capacities in each time period.

[0021] Further, in the step of calculating the chargeable amount at each moment in the first charging period and the second charging period of each natural day according to the real-time charging power value, and calculating the dischargeable amount at each moment in the first discharging period and the second discharging period of each natural day according to the real-time discharging power value, and calculating the maximum chargeable and dischargeable amounts corresponding to each period, the calculation method of the maximum chargeable amount of the first charging period and the second charging period is:

[0022] Calculate the charging capacity corresponding to each moment according to the real-time charging power value at each moment in the first charging period and the second charging period and the interval between the moment and the adjacent moment;

[0023] The charging amounts at each time in the first charging period and the second charging period of each natural day are summed up to obtain the maximum chargeable amounts in the first charging period and the second charging period of each natural day;

[0024] The calculation method of the maximum dischargeable amount in the first discharge period and the second discharge period is:

[0025] Calculate the discharge capacity at the moment according to the real-time discharge power value at each moment in the first discharge period and the second discharge period of each natural day in each natural month and the interval between the moment and the previous moment;

[0026] The discharge amounts at each moment in the first discharge period and the second discharge period of each natural day are summed up respectively to obtain the maximum dischargeable amounts in the first discharge period and the second discharge period of each natural day.

[0027] Furthermore, in the step of respectively counting the maximum chargeable and dischargeable capacities of each time period, extracting the Nth smallest maximum chargeable and dischargeable capacities in the corresponding time period in the current natural month according to the number of natural days with unplanned operation in the current natural month, and obtaining the preliminary capacity calculation value of each natural month according to the Nth smallest maximum chargeable and dischargeable capacities in each time period, the specific method for obtaining the preliminary capacity calculation value is:

[0028] The charging amount in the first charging period and the second charging period, and the discharging amount in the first discharging period and the second discharging period of each natural day in each natural month are counted respectively;

[0029] Extract the Nth smallest charge amount in each charging period and the Nth smallest discharge amount in each discharging period, respectively, where N = the number of natural days of unplanned operation + 1;

[0030] The minimum value of each N-th smallest charge and discharge amount is determined according to the number of natural days of unplanned operation in the natural month, and a preliminary capacity estimation value of the corresponding natural month is obtained.

[0031] Furthermore, in the step of performing statistical analysis on the preliminary capacity calculation values ​​corresponding to each natural month within the preset period to obtain the final capacity calculation value, the specific method includes:

[0032] The preliminary capacity calculation values ​​of each natural month within the preset period are counted and compared, the minimum value of the preliminary capacity calculation values ​​in each natural month is extracted, and the minimum value of the preliminary capacity calculation values ​​in the natural month is determined as the final capacity calculation value.

[0033] Furthermore, in the step of determining the design capacity of the energy storage device according to the final capacity measurement value, the specific method includes:

[0034] The discharge depth of the energy storage device is obtained, and the design capacity of the energy storage device is calculated according to the discharge depth of the energy storage device and the final capacity measurement value.

[0035] Furthermore, after the step of determining the design capacity of the energy storage device according to the final capacity measurement value, the method further includes the following steps:

[0036] The operating power of the energy storage device in each time period is configured according to the design capacity, discharge depth, and duration of the charging period and the discharging period of the energy storage device.

[0037] To achieve the above object, another technical solution of the present invention provides an energy storage capacity configuration system based on peak-valley charging and discharging power distribution, which is used to configure the capacity of the energy storage device according to the distribution of the discharge power of the energy storage system at peak electricity prices and the charging power at flat and low electricity prices. The energy storage capacity configuration system includes:

[0038] A data acquisition module, used to acquire a load data set of the user side in each natural month within a preset period, wherein the load data set includes time-sharing load data of each natural day in the corresponding natural month, and each natural day is divided into at least one charging period and at least one discharging period according to time periods;

[0039] The demand load statistics module is used to collect statistics on the time-sharing load data of each natural month and obtain the estimated demand load of each natural month;

[0040] A first capacity calculation module is used to calculate the chargeable capacity of each charging period and discharging period according to the calculated demand load and the time-sharing load data in the corresponding natural month, and obtain the preliminary capacity calculation value corresponding to each natural month by statistics;

[0041] A second capacity calculation module is used to perform statistical analysis on the preliminary capacity calculation values ​​corresponding to each natural month within the preset period to obtain a final capacity calculation value; and

[0042] The capacity configuration module is used to determine the design capacity of the energy storage device according to the final capacity measurement value.

[0043] The present invention collects all data on the user side within a preset period and analyzes and processes them by time period, so as to obtain a preliminary capacity measurement value within each natural month, so as to determine the minimum capacity of the energy storage device when it is fully charged and discharged within the natural month; then the preliminary capacity measurement of each natural month is compared to determine the final capacity measurement value, and the capacity configuration of the energy storage device is performed based on this, so as to ensure that the energy storage system can reach the level of full charge and discharge at any stage of operation without increasing the demand electricity charge on the user side, which is conducive to maximizing economic benefits. In addition, the implementation process of the present invention adopts the summation method instead of the integration process, and reduces the error of data estimation in the summation process by rounding up and down and compensating the data in each step, which greatly reduces the difficulty and time of data processing, has high configuration efficiency and small requirements on the processor. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] Figure 1 The present invention is a flow chart of an embodiment of a method for configuring energy storage capacity based on peak-valley charging and discharging power distribution.

[0045] Figure 2 This is a flowchart of step S3.

[0046] Figure 3 It is a flow chart of another embodiment of the method for configuring energy storage capacity based on peak-valley charging and discharging power distribution of the present invention.

[0047] Figure 4(a) to 4(b) This is a time-of-use peak and valley electricity price map for a certain province.

[0048] Figures 5(a) to 5(d) This is the electricity load curve on the user side from April to July of a certain year.

[0049] Figure 6 It is a control block diagram of the energy storage capacity configuration system based on peak-valley charging and discharging power distribution of the present invention. DETAILED DESCRIPTION

[0050] The following is further described in detail through specific implementation methods:

[0051] Example

[0052] Please refer to Figure 1 , which is a flow chart of a method for configuring energy storage capacity based on peak-valley charging and discharging power distribution according to an embodiment of the present invention. The energy storage capacity configuration method of this embodiment configures the capacity of the energy storage device according to the distribution of the discharge power of the energy storage system during peak electricity prices and the charging power during flat and valley electricity prices, and combines the local time-of-use electricity prices during peak and valley electricity prices, and utilizes the strategy of charging during valley electricity prices and discharging during peak electricity prices to supply power to the user side. Without increasing the demand electricity charges on the user side, the capacity of the energy storage equipment is configured to determine the operating power and capacity of the energy storage system to maximize economic benefits. Specifically, the method for configuring energy storage capacity based on peak-valley charging and discharging power distribution of this embodiment includes the following steps:

[0053] S1: Obtain power load data.

[0054] Obtain the load data set of the user side in each natural month within the preset period. Usually, the user's electricity demand is affected by factors such as seasons, holidays, and time periods, showing peak and trough electricity demand in different stages or time periods; in this embodiment, in order to ensure that the load data is as accurate as possible and cover all influencing factors as much as possible, when obtaining the load data, the load data on the user side is usually obtained for a whole year as the preset period to form a load data set. The load data set includes the load data of each natural month within the preset period, and the load data of each natural month includes the time-sharing load data of each natural day in the natural month (zero o'clock to twenty-four o'clock on the same day is a natural day); considering the peak electricity demand and power supply trough in each natural day, each natural day is divided into at least one charging period and at least one discharging period according to the time period, and the energy storage system is charged in the charging period and the excess electric energy is stored, and the stored electric energy is used for power supply during the discharging period, so as to maximize the economic benefits without increasing the demand electricity charges on the user side.

[0055] For example, taking the preset period of one year as an example, the load data of the user side in each month from January to December are obtained to form a load data set, and the load data of each month includes the time-sharing load data of each day from the first day to the last day. The difference in electricity prices during the peak and trough periods of electricity consumption in a day is differentiated. Under normal circumstances, there will be two peaks, one flat section and one trough in the electricity price in a day. When dividing the charging period and the discharging period, it is initially set to two charging periods (corresponding to the flat section and the trough of electricity price, respectively) and two discharging periods (corresponding to two peak electricity prices). The two charging periods are respectively defined as a first charging period with a first charging duration and a second charging period with a second charging duration. The two discharging periods are respectively defined as a first discharging period with a first discharging duration and a second discharging period with a second discharging duration. The first charging period and the second charging period are set at intervals from the first discharging period and the second discharging period to ensure that each period can achieve full charging and discharging. It is understandable that in some other embodiments, in order to reduce data processing, only load data for a preset period such as one quarter or half a year can be obtained, and it is only necessary to ensure that the load data of each natural month within the preset period is complete; when the load data obtained is not a complete year's data, since these load data do not cover all influencing factors, when these data are included in the statistics to obtain the final capacity, it is necessary to use an estimated coefficient (the estimated coefficient is 75% to 80%) to convert the final capacity to ensure the relative accuracy of the data.

[0056] The collected time-sharing load data includes a number of first charging data corresponding to the first charging period, a number of second charging data corresponding to the second charging period, a number of second discharging data corresponding to the first discharging period, and a number of second discharging data corresponding to the second discharging period. The first charging data, the second charging data, the first discharging data, and the second discharging data are real-time load values ​​of the energy storage system at each moment collected at equal time intervals in the corresponding period. In this embodiment, when collecting time-sharing load data, the time interval is 15 minutes, that is, the charging data or discharging data is collected every 15 minutes in the corresponding charging period and discharging period; of course, in some other embodiments, it can also be 10 minutes, 30 minutes, etc., but in order to ensure data accuracy, the collection time interval is less than 60 minutes.

[0057] S2: Calculate the natural monthly demand load.

[0058] The time-sharing load data of each natural month are statistically analyzed to obtain the estimated demand load for each natural month.

[0059] Specifically, first, the first charging data, the second charging data, the first discharging data and the second discharging data in each natural month are iteratively compared to determine the maximum values ​​of the first charging data, the second charging data, the first discharging data and the second discharging data in each natural month, that is, all the first charging data, the second charging data, the first discharging data and the second discharging data in each natural month are uniformly compared to determine the maximum value of the data in the natural month, which may be the first charging data, the second charging data, the first discharging data or the second discharging data.

[0060] Then, the maximum value is determined as the maximum demand load of the corresponding natural month. When determining the maximum demand load, in order to facilitate the calculation efficiency of subsequent steps while ensuring the accuracy of the data, the compared maximum value is rounded up and determined as the maximum demand load.

[0061] Finally, the maximum demand load is compensated to obtain the calculated demand load for each natural month. In this embodiment, considering the communication time difference between the software and hardware in the energy storage system and the sensitivity of the acquisition equipment, when compensating the maximum demand, the maximum demand load is generally subtracted by a compensation value (such as 100kW, 120kW, etc.) to obtain the calculated demand load, so as to reserve capacity redundancy and avoid overcharging and other phenomena.

[0062] In this embodiment, the measured demand load is expressed as:

[0063]

[0064] in, is the calculated demand load for the first natural month, is the maximum demand load in the first natural month, It means the maximum demand load in the first natural month is rounded up to the a1th place before the decimal point, P x is the compensation value.

[0065] S3: Calculate the preliminary capacity estimate for the natural month.

[0066] The chargeable capacity of each charging period and the dischargeable capacity of each discharging period are calculated based on the statistically calculated demand load and the time-sharing load data in the natural month corresponding to the calculated demand load, and the preliminary capacity calculation value corresponding to each natural month is obtained statistically.

[0067] Please refer to Figure 2 , this step specifically includes the following sub-steps:

[0068] S301: Calculate the real-time charging and discharging power values ​​at each moment in the corresponding time period.

[0069] The real-time charging power value at each moment is calculated based on the real-time load value at each moment in the first charging period and the second charging period of each natural day in each natural month and the measured demand load of the natural month; and the real-time discharging power value at each moment is calculated based on the real-time load value at each moment in the first discharging period and the second discharging period of each natural day in each natural month.

[0070] In this embodiment, since the energy storage system is in a charging state in the first charging period and the second charging period, the real-time charging power value of the energy storage device in the first charging period and the second charging period is the difference between the calculated demand load corresponding to the natural month and the real-time load value at the current moment; the real-time charging power value at each moment in the first charging period is expressed as:

[0071]

[0072] in, The tth time in the first charging period T1 on the Dth natural day of the Ith natural month i1 The real-time charging power value at the moment, i1 is the collection time of each load data in the first charging period T1, is the Dth natural day in the first charging period T1 in the tth natural day of the Ith natural month. i1 Real-time load value at the moment.

[0073] The real-time charging power value at each moment in the second charging moment is expressed as:

[0074]

[0075] in, The tth charging time in the second charging period T2 on the Dth natural day of the Ith natural month i2 i2 is the real-time charging power value at the time, i3 is the collection time of each load data in the second charging period T2, The tth charging time in the second charging period T2 on the Dth natural day of the Ith natural month i2 Real-time load value at the moment.

[0076] In the first discharge period and the second discharge period, the energy storage system is in a discharge state. Therefore, the real-time discharge power value of the energy storage device in the first discharge period and the second discharge period is the real-time load value at the current moment; the real-time discharge power value at each moment in the first discharge period is expressed as:

[0077]

[0078] in, is the tth discharge time in the first discharge period T3 on the Dth natural day of the Ith natural month. i3 i3 is the real-time discharge power value at the moment, i4 is the collection time of each load data in the first discharge period T3, is the tth discharge time in the first discharge period T3 on the Dth natural day of the Ith natural month. i3 Real-time load value at the moment.

[0079] The real-time discharge power value at each moment in the second discharge period is expressed as:

[0080]

[0081] in, is the tth discharge time in the second discharge period T4 on the Dth natural day of the Ith natural month. i4 i4 is the real-time discharge power value at the moment, i5 is the collection time of each load data in the second discharge period T4, is the tth discharge time in the second discharge period T4 on the Dth natural day of the Ith natural month. i4 Real-time load value at the moment.

[0082] Based on this, the real-time charging power value at each collection moment in the first charging period and the second charging period of each natural day in each natural month and the real-time discharging power value at each collection moment in the first discharging period and the second discharging period of each natural day in each natural month are obtained respectively, so as to calculate the maximum chargeable and dischargeable amounts in the corresponding time period of each natural day.

[0083] S302: Calculate the maximum chargeable and dischargeable amounts in each time period.

[0084] The chargeable amount at each moment in the first charging period and the second charging period of each natural day is calculated according to the real-time charging power value, and the dischargeable amount at each moment in the first discharging period and the second discharging period of each natural day is calculated according to the real-time discharging power value, and the maximum chargeable and dischargeable amount corresponding to each period is calculated. In this embodiment, the method for calculating the maximum chargeable amount in the first charging period and the second charging period is as follows:

[0085] First, the charge capacity corresponding to the moment is calculated according to the real-time charging power value at each moment in the first charging period and the second charging period and the interval between the moment and the adjacent moment (that is, the cycle or interval time of collecting two real-time load values). Then, the charge capacity at each moment in the first charging period and the second charging period of each natural day is summed up to obtain the maximum chargeable capacity of the first charging period and the second charging period of each natural day.

[0086] The maximum chargeable capacity of the first charging period of each natural day in each natural month is expressed as:

[0087]

[0088] in, It is the maximum chargeable amount of the first charging period T1 on the Dth natural day of the Ith natural month, T1 is the duration of the first charging period, and in this embodiment, the duration of the first charging period T1 is counted in hours, t1=1,2,...n1, n1 is the number of collection moments in the first charging period T1.

[0089] The maximum chargeable capacity of the second charging period of each natural day in each natural month is expressed as:

[0090]

[0091] in, It is the maximum chargeable amount of the second charging period T2 on the Dth natural day of the Ith natural month, T2 is the duration of the second charging period, and in this embodiment, the duration of the second charging period T2 is counted in hours, t2=1,2,...n2, n2 is the number of collection moments in the second charging period T2.

[0092] In this embodiment, the method for calculating the maximum dischargeable amount in the first discharge period and the second discharge period is as follows:

[0093] First, the discharge capacity at that moment is calculated based on the real-time discharge power value at each moment in the first discharge period and the second discharge period of each natural day in each natural month and the interval between that moment and the previous moment. Then, the discharge capacity at each moment in the first discharge period and the second discharge period of each natural day is summed up to obtain the maximum discharge capacity of the first discharge period and the second discharge period of each natural day.

[0094] The maximum discharge capacity of the first discharge period of each natural day in each natural month is expressed as:

[0095]

[0096] in, is the maximum dischargeable amount of the first discharge period T3 on the Dth natural day of the Ith natural month, T3 is the duration of the first discharge period, in this embodiment, the duration of the first discharge period T3 is counted in hours, t3=1, 2, ... n3, n3 is the number of collection moments in the first discharge period T3.

[0097] The maximum discharge capacity of the second discharge period of each natural day in each natural month is expressed as:

[0098]

[0099] in, is the maximum dischargeable amount of the second discharge period T4 on the Dth natural day of the Ith natural month, T4 is the duration of the second discharge period, in this embodiment, the duration of the second discharge period T4 is counted in hours, t4=1, 2, ... n4, n4 is the number of collection moments in the second discharge period T4.

[0100] S303: Count the maximum chargeable and dischargeable amounts and calculate the initial capacity.

[0101] The maximum chargeable or dischargeable capacity of each time period is counted separately, and the Nth smallest maximum chargeable or dischargeable capacity in the corresponding time period of the current natural month is extracted according to the number of natural days with unplanned operation in the current natural month, and the preliminary capacity calculation value of each natural month is obtained according to the Nth smallest maximum chargeable and dischargeable capacity in each time period. Due to the extreme operation conditions and maintenance conditions that may exist during the operation of the energy storage system, in order to ensure the statistical accuracy of the data, these unplanned operation days are excluded from the statistical data of each natural month during the calculation to improve the calculation accuracy.

[0102] Specifically, first, the charge amount of the first charging period and the second charging period, and the discharge amount of the first discharging period and the second discharging period of each natural day in each natural month are counted respectively. In this embodiment, it is preferred to sort the charge amount of the first charging period and the second charging period, and the discharge amount of the first discharging period and the second discharging period from large to small to facilitate subsequent data extraction. It is understandable that in some other embodiments, when counting the charge amount, the power interval can also be divided according to the size range of the charge amount, and then the charge amount of the first charging period and the second charging period, and the discharge amount of the first discharging period and the second discharging period are integrated into the corresponding interval.

[0103] Then, the Nth smallest charge amount in each charging period and the Nth smallest discharge amount in each discharging period are extracted respectively, where N=the number of natural days with unplanned operation+1. In this embodiment, the Nth smallest charge amount in the charging period and the Nth smallest discharge amount in the discharging period are the Nth last charge amount in each sorted charge amount series, so as to exclude the data corresponding to the natural days with unplanned operation.

[0104] In this embodiment, for the convenience of calculation, after extracting the Nth smallest charge amount in each charging period and the Nth smallest discharge amount in the discharging period, the extracted charge amount can be rounded down to obtain the final Nth smallest charge amount in each charging period and the Nth smallest discharge amount in the discharging period. The Nth smallest charge amount in the first charging period is rounded and expressed as:

[0105]

[0106] in, is the Nth smallest charge amount rounded off in the first charging period of each natural day in the Ith natural month, It is represented by taking the Nth smallest charge amount from the charge amounts of the first charging period of each natural day in the Ith natural month, It means that the Nth smallest charge amount in the first charging period is rounded down to the a2th place before the decimal point.

[0107] The Nth smallest charge amount in the second charging period is rounded to the integer:

[0108]

[0109] in, is the Nth smallest charge amount rounded off in the second charging period of each natural day in the Ith natural month, It is represented by taking the Nth smallest charge amount among the charge amounts in the second charging period of each natural day in the Ith natural month, It means that the Nth smallest charge amount in the second charging period is rounded down to the a2th place before the decimal point.

[0110] The Nth smallest discharge amount in the first discharge period is rounded off and expressed as:

[0111]

[0112] in, is the Nth smallest discharge amount rounded off in the first discharge period of each natural day in the Ith natural month, It is expressed as taking the Nth smallest discharge amount in the first discharge period of each natural day in the Ith natural month, It means that the Nth smallest discharge amount in the first discharge period is rounded down to the a2th place before the decimal point.

[0113] The Nth smallest discharge amount in the second discharge period is rounded off and expressed as:

[0114]

[0115] in, is the Nth smallest discharge amount rounded off in the second discharge period of each natural day in the Ith natural month, It is represented by taking the Nth smallest first discharge amount from the discharge amounts of the second charging period of each natural day in the Ith natural month, It means that the Nth smallest discharge amount in the second charging period is rounded down to the a2th place before the decimal point.

[0116] Finally, the minimum value of each Nth smallest charge and discharge amount is determined according to the number of natural days with unplanned operation in a natural month, and the preliminary capacity calculation value of the corresponding natural month is obtained. In this embodiment, the preliminary capacity calculation value is expressed as:

[0117]

[0118] Among them, R I It is the preliminary capacity estimation value for the first natural month.

[0119] S4: Calculate the final capacity of the energy storage equipment.

[0120] The preliminary capacity calculation values ​​corresponding to each natural month in the preset period are statistically analyzed to obtain the final capacity calculation value. Specifically, the preliminary capacity calculation values ​​of each natural month in the preset period are statistically analyzed and compared, that is, the preliminary capacity calculation values ​​of the first to the first natural months in the preset period are compared, the minimum value of the preliminary capacity calculation values ​​in each natural month is extracted, and the minimum value of the preliminary capacity calculation values ​​in the natural month is determined as the final capacity calculation value, ensuring that the entire energy storage system can be fully charged and discharged every natural month.

[0121] S5: Configure the design capacity of energy storage equipment.

[0122] The design capacity of the energy storage device is determined based on the final capacity measurement value. Specifically, the discharge depth of the energy storage device is determined and obtained based on the model and specifications of the energy storage device in the energy storage system, and the capacity of the energy storage device is calculated based on the discharge depth of the energy storage device and the final capacity measurement value, and the capacity is rounded to obtain the final design capacity. The final design capacity of the energy storage device is expressed as:

[0123] R D =roundup{min(R I ,I=1,2,...,M) / DOD,-a3} (15)

[0124] Among them, R D is the design capacity of the energy storage device, min(R I , I=1,2,...,M) is the final capacity calculation value, which means taking the minimum value of the preliminary capacity calculation from the first to the Ith natural month, M is the number of natural months in the preset period, DOD is the discharge depth of the energy storage device, roundup{min(R I ,I=1,2,...,M) / DOD,-a3} means that the capacity calculated based on the discharge depth of the energy storage device and the final capacity measurement value is rounded up to the a3th place before the decimal point.

[0125] Please refer to Figure 3 As a preferred method of this embodiment, after step S5, the following steps are also included:

[0126] S6: Configure the operating power of the energy storage device.

[0127] The operating power of the energy storage device in each time period is configured according to the design capacity of the energy storage device, the discharge depth, and the duration of the charging and discharging periods, and the time-divided operating power of each charging and discharging period is determined. Specifically, the duration of the first charging period, the second charging period, the first discharging period, and the second discharging period is determined according to the time-of-use electricity price, and the time-divided operating power of each period is calculated according to the duration of each period and the design capacity of the energy storage device. In this embodiment, the time-divided operating power is expressed as:

[0128]

[0129] in, is the time-division operation power of the first charging period, the second charging period, the first discharging period or the second discharging period, T 1,2,3,4 is the duration of the first charging period, the second charging period, the first discharging period or the second discharging period.

[0130] The energy storage capacity configuration method based on peak-valley charging and discharging power distribution of this embodiment is further illustrated below with a specific example.

[0131] In this example, a power storage system of a factory in East China is taken as an example. The factory uses 110kV large industrial electricity, which is supplied by a 110kV incoming line and two 63000kVA transformers to reduce the voltage to 20kV. The busbar of the 20kV line has two sections and is operated separately. In the line, a metering point is set at one end of the 110kV incoming line of the high-voltage line to collect real-time load data. The factory adopts a two-part pricing system. The time-of-use electricity price chart is shown in Figures 4(a) and 4(b). According to the analysis of the time-of-use electricity price chart, the electricity price peaks are concentrated in the time periods of 9:00-11:00 and 15:00-17:00. Therefore, this embodiment adopts a two-charge and two-discharge mode to configure the energy storage system. According to the operation strategy, the first charging period is The configuration is 0:00-8:00 and 22:00-24:00, totaling 10 hours, the first discharge period is configured as 9:00-11:00, totaling 2 hours, the second charging period is configured as 11:00-13:00, totaling 2 hours, and the second discharge period is configured as 15:00-17:00, totaling 2 hours; it can be understood that in some other examples, other operating modes can also be set according to different electricity prices and different peak and valley electricity consumption. The operating time of the entire system can also be adjusted according to different needs, that is, it can be longer or shorter than this example, such as setting the first charging period to 5 hours, the first discharging period to 2 hours, the second charging period to 3 hours, and the second discharging period to 4 hours.

[0132] S1': Get the electricity load data from January to December.

[0133] Based on the above configuration scheme, the time-sharing load data of a factory from January 2023 to December 2023 are collected at intervals of 15 minutes in each time period. As shown in Table 1 below, the time-sharing load data for July (the processing process for each month is the same, and the data for other months are not shown or explained here), where the horizontal direction of the table is the natural day of July, and the vertical direction is the time corresponding to each time period of each day, and the unit of the load data in the table is MW.

[0134] Table 1

[0135]

[0136]

[0137] (Continued)

[0138]

[0139]

[0140]

[0141] Please refer to Figures 5(a) to 5(d) , which is a time-sharing load data curve drawn by a factory from April 2023 to July 2023 based on the collected time-sharing load data (it has covered two different time-sharing electricity prices, and the time-sharing load data for the whole year are no longer displayed here). According to the load data curve, the curve is relatively flat, and the electricity consumption in each period of the day fluctuates little. In this way, since the second charging period is during the day, its load is generally large, and there is a risk of increasing demand during charging. Therefore, in order to ensure that the user's demand electricity charge is not changed, it is necessary to ensure that the maximum instantaneous power value of each transformer is less than the maximum demand value of this month at any time when the energy storage system is charging.

[0142] S2': Calculate the demand load from January to December.

[0143] First, compare the data in the first charging period, the first discharging period, the second charging period and the second discharging period from January to December to determine the maximum value of all load data in that month. Similarly, taking Table 1 as an example, the maximum value in July is the data corresponding to 15:00 in the second discharging period on July 22, that is, 63.84MW (to ensure the accuracy of the data, it is actually calculated as 63835.2kW).

[0144] Then, the maximum value of the load data for each month from January to December is rounded up to the first decimal place before the decimal point to determine the maximum demand load of the corresponding natural month. For example, the maximum value of the load data for July, 63835.2kW, is rounded up to 63840kW (or 63.84MW), which is the maximum demand load for July.

[0145] Finally, the maximum demand load of July, 63840kW, minus the compensation value of 100kW, is 63740kW (or 63.74MW), which is the calculated demand load P0 for July. I , thus, all the calculated demand loads from January to December can be obtained (as shown in Table 2, the unit of the calculated demand load in the table is MW)

[0146] Table 2

[0147]

[0148] S3': Calculate the preliminary capacity estimates from January to December.

[0149] Based on the estimated demand load from January to December and the corresponding load data for each month, the chargeable capacity of each charging period and discharging period is calculated, and the preliminary capacity estimation value corresponding to each natural month is obtained statistically.

[0150] S301': Calculate the chargeable and dischargeable amounts at each moment in the corresponding time period.

[0151] The real-time charging and discharging power values ​​at each moment are calculated according to the real-time load values ​​at each moment in the first charging period, the first discharging period, the second charging period and the second discharging period of each day from January to December and the measured demand load of the natural month. For example, at 0:00 of the first charging period on July 1, the real-time charging power value at this moment is the measured demand load minus the real-time load value at 0:00 of July 1 in Table 1, that is, 63.74-51.39=12.25MW (the data at 0:00 of the first charging period on July 1 in Table 3). For another example, at 9:00 of the first discharging period on July 1, the real-time discharging power value at this moment is the real-time load value corresponding to this moment, that is, 57.36WM. Thus, all real-time charging and discharging power values ​​in July are obtained, as shown in Table 3 (the units of the real-time charging and discharging power values ​​in the table are MW).

[0152] Table 3

[0153]

[0154]

[0155] (Continued)

[0156]

[0157]

[0158]

[0159] S302': Calculate the maximum chargeable and dischargeable amount in each time period.

[0160] According to the real-time charging and discharging power values ​​at each moment of each day from January to December, the chargeable and dischargeable capacities of the first charging period, the first discharging period, the second charging period, and the second discharging period of each day are measured respectively, and the maximum chargeable and dischargeable capacities of each period are calculated. For example, the maximum chargeable capacity of the first charging period on July 1 in Table 3 is the sum of the data at all moments in the period multiplied by the duration (15 minutes, i.e. 1 / 4 hour), and after conversion, it is the sum of these data multiplied by 1 / 4, i.e.:

[0161] (12.35+11.52+10.68+10.24+9.44+8.62+10.68+10.29+9.85+8.34+8.02+9.25+9.46+7.81+10.25+8.78+9.18+7.54+7.51+7.77+7.38+8.65+7.37+8.02+7.54+7.53+7.63+8.14+6.65+9.34+9.30+7.40+3.95+3.44+4.90+4.15+4.34+4.25+5.17+6.06) / 4=79.70.

[0162] In this way, the maximum chargeable and dischargeable amounts in each time period for each day in July are obtained, as shown in Table 4 (the unit of the maximum chargeable and dischargeable amounts is MWh).

[0163] Table 4

[0164]

[0165] S303': Count the maximum chargeable and dischargeable amounts and calculate the initial capacity.

[0166] The maximum chargeable and dischargeable amounts of each time period are counted separately, and the Nth smallest maximum chargeable and dischargeable amount in the corresponding time period in the current natural month is extracted according to the number of natural days with unplanned operation in the current natural month, and the preliminary capacity calculation value of each natural month is obtained according to the Nth smallest maximum chargeable and dischargeable amount in each time period. In this example, the number of days of unplanned operation is set to 3 days, that is, the 4th smallest maximum chargeable and dischargeable amount is extracted as the preliminary capacity calculation value. For July, the 4th smallest data in each of the first charging period, the first discharging period, the second charging period, and the second discharging period in Table 4 is extracted, and the extracted data is rounded down. Among them, the maximum chargeable capacity of the 4th hour in the first charging period in July is the maximum chargeable capacity on July 21, that is, 31.17MWh (actually 31172.4kWh, rounded to 31100kWh); the maximum dischargeable capacity of the 4th hour in the first discharge period is the maximum dischargeable capacity on July 6, that is, 119.00MWh (actually 118998.0kWh, rounded to 118900kWh); the maximum chargeable capacity of the 4th hour in the second charging period is the maximum chargeable capacity on July 22, that is, 4.49MWh (actually 4491.2kWh, rounded to 4400kWh); the maximum dischargeable capacity of the 4th hour in the second discharge period is the maximum dischargeable capacity on July 10, that is, 117.44MWh (actually 117440.4kWh, rounded to 117400kWh). In this way, the estimated preliminary capacity of each period from January to December is obtained.

[0167] S4': Calculate the final capacity of the energy storage equipment.

[0168] The preliminary capacity calculation values ​​from January to December are counted and compared, and the minimum value of the preliminary capacity calculation value in each natural month is extracted and the minimum value of the preliminary capacity calculation value in the natural month is determined as the final capacity calculation value. The preliminary capacity calculation values ​​from January to December are shown in Table 5 (the unit of the preliminary capacity calculation values ​​in the table is kWh).

[0169] Table 5

[0170] month January February March April May June July August September October November December <![CDATA[R I ]]> 9800 3900 3300 5400 7300 6600 4400 4700 4800 7000 4800 4400

[0171] The final capacity calculation value is the minimum value in Table 5, which is the preliminary capacity calculation for March, and the final capacity calculation value is 3300kWh.

[0172] S5': Configure the design capacity of energy storage equipment.

[0173] The capacity of the energy storage device is calculated based on the discharge depth of the energy storage device in the energy storage system (90% in this example) and the final capacity measurement value, and the capacity is rounded up to get the final design capacity. At this time, the final design capacity is 3300 / 90% and then rounded up to get a design capacity of 3700kWh.

[0174] S6': Configure the operating power of the energy storage device.

[0175] The operating power of the energy storage device in each time period is configured according to the design capacity of the energy storage device, the discharge depth, and the duration of the charging and discharging periods, and the time-divided operating power of each charging and discharging period is determined.

[0176] According to the duration of each time period set in this example, the time period operation power of the energy storage device is configured as shown in Table 6 (the unit in Table 6 is kW).

[0177] Table 6

[0178]

[0179] The energy storage capacity configuration method based on peak-valley charging and discharging power distribution of this embodiment can obtain the preliminary capacity calculation value in each natural month by collecting all the data on the user side within the preset period and analyzing and processing them by time period, so as to determine the minimum capacity of the energy storage device when it is fully charged and discharged within the natural month; then compare the preliminary capacity calculations of each natural month to determine the final capacity calculation value, and use this as a basis for capacity configuration of the energy storage device, while not increasing the user-side demand electricity charges, ensuring that the energy storage system can reach the level of full charging and discharging at any stage of operation, which is conducive to maximizing economic benefits. In addition, the implementation process of this embodiment adopts the summation method instead of the integration process, and reduces the error of data estimation in the summation process by rounding up and down and compensating the data in each step, which greatly reduces the difficulty and time of data processing, has high configuration efficiency and small requirements on the processor.

[0180] Please refer to Figure 6 , is a structural block diagram of an energy storage capacity configuration system based on peak-valley charging and discharging power allocation according to another embodiment of the present invention. The energy storage capacity configuration system based on peak-valley charging and discharging power allocation according to this embodiment is used to implement the energy storage capacity configuration method according to the above-mentioned embodiment, which can configure the capacity of the energy storage device according to the distribution of the discharge power of the energy storage system at peak electricity prices and the charging power at flat and low electricity prices. The energy storage capacity configuration system according to this embodiment includes a data acquisition module 1, a demand load statistics module 2, a first capacity calculation module 3, a second capacity calculation module 4 and a capacity configuration module 5; wherein:

[0181] The data acquisition module 1 is used to obtain the load data set of each natural month on the user side within the preset period. The load data set includes the load data of each natural month within the preset period, and the load data of each natural month includes the time-sharing load data of each natural day in the natural month; considering the peak power consumption and the trough power supply in each natural day, each natural day is divided into at least one charging period and at least one discharging period according to the time period, and the energy storage system is charged in the charging period and the excess electric energy is stored, and the stored electric energy is used for power supply in the discharging period, so as to maximize the economic benefits without increasing the demand electricity charges on the user side.

[0182] The demand load statistics module 2 is used to count the time-sharing load data obtained by the data acquisition module 1 according to the natural month, and obtain the calculated demand load of each natural month. First, the load data in each natural month are iteratively compared to determine the maximum value of the load data in each natural month; then, the maximum value is determined as the maximum demand load of the corresponding natural month; finally, the maximum demand load is compensated to obtain the calculated demand load of each natural month.

[0183] The first capacity calculation module 3 is used to calculate the chargeable amount in the charging period and the dischargeable amount in the discharging period according to the calculated demand load obtained by the demand load statistics module 2 and the time-sharing load data in the natural month corresponding to the calculated demand load, and to obtain the preliminary capacity calculation value corresponding to each natural month. Firstly, the real-time charging and discharging power values ​​at each moment are calculated according to the real-time load values ​​at each moment in the first charging period, the first discharging period, the second charging period and the second discharging period of each natural day in each natural month and the calculated demand load of the natural month; then, the chargeable and dischargeable amounts of the first charging period, the first discharging period, the second charging period and the second discharging period of each natural day are calculated respectively according to the real-time charging and discharging power values ​​at each moment, and the maximum chargeable and dischargeable amounts of each period are calculated; finally, the maximum chargeable and dischargeable amounts of each period are counted respectively, and the Nth smallest maximum chargeable and dischargeable amounts in the corresponding period of the natural month are extracted according to the number of natural days with unplanned operation in the current natural month, and the preliminary capacity calculation value of each natural month is obtained according to the Nth smallest maximum chargeable and dischargeable amounts in each period.

[0184] The second capacity calculation module 4 is used to obtain the final capacity calculation value by statistically analyzing the preliminary capacity calculation values ​​corresponding to each natural month within the preset period calculated by the first capacity calculation module 3. Specifically, the preliminary capacity calculation values ​​of each natural month within the preset period are counted and compared, that is, the preliminary capacity calculation values ​​of the first to the first natural months within the preset period are compared, the minimum value of the preliminary capacity calculation values ​​in each natural month is extracted, and the minimum value of the preliminary capacity calculation values ​​in the natural month is determined as the final capacity calculation value.

[0185] The capacity configuration module 5 is used to determine the design capacity of the energy storage device according to the final capacity measurement value calculated by the second capacity measurement module 4. Specifically, according to the model and specification of the energy storage device in the energy storage system, the discharge depth of the energy storage device is determined and obtained, the capacity of the energy storage device is calculated according to the discharge depth of the energy storage device and the final capacity measurement value, and the capacity is rounded to obtain the final design capacity.

[0186] In the specific implementation of this embodiment, the data acquisition module 1, the demand load statistics module 2, the first capacity calculation module 3, the second capacity calculation module 4 and the capacity configuration module 5 correspond one-to-one to steps S1 to S5 in the energy storage capacity configuration method of the above embodiment. The specific implementation process of the data acquisition module 1, the demand load statistics module 2, the first capacity calculation module 3, the second capacity calculation module 4 and the capacity configuration module 5 can be found in the relevant description of steps S1 to S5, which will not be repeated here.

[0187] The energy storage capacity configuration system based on peak-valley charging and discharging power distribution of this embodiment collects all data on the user side within a preset period by setting a data acquisition module 1, and performs statistics and calculations on each load data by time period through the demand load statistics module 2 and the first capacity calculation module 3, so as to obtain a preliminary capacity calculation value in each natural month to determine the minimum capacity of the energy storage device when it is fully charged and discharged in the natural month; and then compares the preliminary capacity calculations of each natural month through the demand second capacity calculation module 4 to determine the final capacity calculation value, and based on this, the capacity of the energy storage device is configured through the capacity configuration module 5, so as to ensure that the energy storage system can reach the level of full charging and discharging in any operation stage without increasing the demand electricity charge on the user side, which is conducive to maximizing economic benefits.

Claims

1. A method for configuring energy storage capacity based on peak-valley charging and discharging power distribution, characterized in that: The method is used to configure the capacity of the energy storage device according to the distribution of the discharge power of the energy storage system at the peak of electricity price and the charging power at the flat and low electricity price. The energy storage capacity configuration method includes the following steps: Obtaining a load data set of the user side in each natural month within a preset period, wherein the load data set includes time-sharing load data of each natural day in the corresponding natural month, and each natural day is divided into at least one charging period and at least one discharging period according to time periods; The time-sharing load data of each natural month are statistically analyzed to obtain the estimated demand load of each natural month; The chargeable capacity in the charging period and the dischargeable capacity in the discharging period are calculated according to the calculated demand load and the time-sharing load data in the corresponding natural month, and the preliminary capacity calculation value corresponding to each natural month is obtained by statistics; Performing statistical analysis on the preliminary capacity calculation values ​​corresponding to each natural month within the preset period to obtain the final capacity calculation value; The design capacity of the energy storage device is determined according to the final capacity calculation value.

2. The energy storage capacity configuration method based on peak-valley charging and discharging power distribution according to claim 1 is characterized in that: In the step of acquiring the load data set of the user side in each natural month within the preset period, the charging period is defined as a first charging period with a first charging duration and a second charging period with a second charging duration, the discharging period is defined as a first discharging period with a first discharging duration and a second discharging period with a second discharging duration, and the first charging period and the second charging period are arranged at intervals from the first discharging period and the second discharging period; The time-sharing load data of each natural day includes a number of first charging data corresponding to the first charging period, a number of second charging data corresponding to the second charging period, a number of first discharging data corresponding to the first discharging period, and a number of second discharging data corresponding to the second discharging period. The first charging data, the second charging data, the first discharging data, and the second discharging data are real-time load values ​​of the energy storage system at each moment collected at equal time intervals within the corresponding period.

3. The energy storage capacity configuration method based on peak-valley charging and discharging power distribution according to claim 2 is characterized in that: In the step of respectively performing statistics on the time-sharing load data of each natural month to obtain the calculated demand load of each natural month, the specific method for obtaining the calculated demand load is: Iteratively comparing the first charging data, the second charging data, the first discharging data, and the second discharging data of each natural month, respectively, to determine the maximum values ​​of the first charging data, the second charging data, the first discharging data, and the second discharging data in each natural month; The maximum value is determined as the maximum demand load of the corresponding natural month; The maximum demand load is compensated to obtain the calculated demand load for each natural month.

4. The energy storage capacity configuration method based on peak-valley charging and discharging power distribution according to claim 3 is characterized in that: The step of calculating the chargeable capacity in the charging period and the dischargeable capacity in the discharging period according to the calculated demand load and the time-sharing load data in the corresponding natural month, and obtaining the preliminary capacity calculation value corresponding to each natural month by statistics, includes the following sub-steps: Calculate the real-time charging power value at each moment according to the real-time load value at each moment in the first charging period and the second charging period of each natural day in each natural month and the measured demand load of the natural month; Determine the real-time discharge power value at each moment according to the real-time load value at each moment in the first discharge period and the second discharge period of each natural day in each natural month; The chargeable amount at each moment in the first charging period and the second charging period of each natural day is calculated according to the real-time charging power value, and the dischargeable amount at each moment in the first discharging period and the second discharging period of each natural day is calculated according to the real-time discharging power value, and the maximum chargeable and dischargeable amount corresponding to each period is calculated; The maximum chargeable and dischargeable capacities of each time period are counted separately, and the Nth smallest maximum chargeable and dischargeable capacities in the corresponding time period of the current natural month are extracted according to the number of natural days with unplanned operation in the current natural month, and the preliminary capacity estimation value of each natural month is obtained according to the Nth smallest maximum chargeable and dischargeable capacities in each time period.

5. The energy storage capacity configuration method based on peak-valley charging and discharging power distribution according to claim 4 is characterized in that: In the step of calculating the chargeable amount at each moment in the first charging period and the second charging period of each natural day according to the real-time charging power value, and respectively calculating the dischargeable amount at each moment in the first discharging period and the second discharging period of each natural day according to the real-time discharging power value, and calculating the maximum chargeable and dischargeable amounts corresponding to each period, the calculation method of the maximum chargeable amount of the first charging period and the second charging period is: Calculate the charging capacity corresponding to each moment according to the real-time charging power value at each moment in the first charging period and the second charging period and the interval between the moment and the adjacent moment; The charging amounts at each time in the first charging period and the second charging period of each natural day are summed up to obtain the maximum chargeable amounts in the first charging period and the second charging period of each natural day; The calculation method of the maximum dischargeable amount in the first discharge period and the second discharge period is: Calculate the discharge capacity at the moment according to the real-time discharge power value at each moment in the first discharge period and the second discharge period of each natural day in each natural month and the interval between the moment and the previous moment; The discharge amounts at each moment in the first discharge period and the second discharge period of each natural day are summed up respectively to obtain the maximum dischargeable amounts in the first discharge period and the second discharge period of each natural day.

6. The energy storage capacity configuration method based on peak-valley charge and discharge power distribution according to claim 4 is characterized in that: In the step of respectively counting the maximum chargeable and dischargeable capacities of each time period, extracting the Nth smallest maximum chargeable and dischargeable capacities in the corresponding time period in the current natural month according to the number of natural days of unplanned operation in the current natural month, and obtaining the preliminary capacity calculation value of each natural month according to the Nth smallest maximum chargeable and dischargeable capacities in each time period, the specific method for obtaining the preliminary capacity calculation value is as follows: The charging amount in the first charging period and the second charging period, and the discharging amount in the first discharging period and the second discharging period of each natural day in each natural month are counted respectively; Extract the Nth smallest charge amount in each charging period and the Nth smallest discharge amount in each discharging period, respectively, where N = the number of natural days of unplanned operation + 1; The minimum value of each N-th smallest charge and discharge amount is determined according to the number of natural days of unplanned operation in the natural month, and a preliminary capacity estimation value of the corresponding natural month is obtained.

7. The energy storage capacity configuration method based on peak-valley charging and discharging power distribution according to claim 1 is characterized in that: In the step of performing statistical analysis on the preliminary capacity calculation values ​​corresponding to each natural month within the preset period to obtain the final capacity calculation value, the specific method includes: The preliminary capacity calculation values ​​of each natural month within the preset period are counted and compared, the minimum value of the preliminary capacity calculation values ​​in each natural month is extracted, and the minimum value of the preliminary capacity calculation values ​​in the natural month is determined as the final capacity calculation value.

8. The energy storage capacity configuration method based on peak-valley charge and discharge power allocation according to claim 1 is characterized in that: In the step of determining the design capacity of the energy storage device according to the final capacity measurement value, the specific method includes: The discharge depth of the energy storage device is obtained, and the design capacity of the energy storage device is calculated according to the discharge depth of the energy storage device and the final capacity measurement value.

9. The energy storage capacity configuration method based on peak-valley charge and discharge power distribution according to any one of claims 1 to 8, characterized in that: After the step of determining the design capacity of the energy storage device according to the final capacity measurement value, the following steps are also included: The operating power of the energy storage device in each time period is configured according to the design capacity, discharge depth, and duration of the charging period and the discharging period of the energy storage device.

10. The energy storage capacity configuration system based on peak-valley charging and discharging power allocation is characterized in that: The energy storage capacity configuration system is used to configure the capacity of the energy storage device according to the distribution of the discharge power of the energy storage system at the peak of electricity price and the charging power at the flat and low electricity price. The energy storage capacity configuration system includes: A data acquisition module, used to acquire a load data set of the user side in each natural month within a preset period, wherein the load data set includes time-sharing load data of each natural day in the corresponding natural month, and each natural day is divided into at least one charging period and at least one discharging period according to time periods; The demand load statistics module is used to collect statistics on the time-sharing load data of each natural month and obtain the estimated demand load of each natural month; A first capacity calculation module is used to calculate the chargeable amount in the charging period and the dischargeable amount in the discharging period according to the calculated demand load and the time-sharing load data in the corresponding natural month, and obtain the preliminary capacity calculation value corresponding to each natural month; A second capacity calculation module is used to perform statistical analysis on the preliminary capacity calculation values ​​corresponding to each natural month within the preset period to obtain a final capacity calculation value; and The capacity configuration module is used to determine the design capacity of the energy storage device according to the final capacity measurement value.

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