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

Abstract

The application relates to the technical field of energy storage systems, and discloses a method, device and equipment for determining the installed capacity of an energy storage system and a storage medium, the energy storage system being arranged in an electricity consumption area, the method comprising the following steps: obtaining a historical electricity consumption load data sequence of the electricity consumption area; determining the simulation state of each simulation energy storage system in each historical sub-period according to the electricity price corresponding to each historical sub-period; determining a plurality of total simulation discharge amounts corresponding to the plurality of simulation energy storage systems in the historical period according to the simulation state, the battery rated capacity and the rated power of each single energy storage device in each simulation energy storage system, the number of energy storage devices included in each simulation energy storage system and the historical electricity consumption load data sequence; determining a target energy storage system from the plurality of simulation energy storage systems according to the plurality of total simulation discharge amounts, and determining the installed capacity of the energy storage system according to the number of energy storage devices included in the target energy storage system and the battery rated capacity. The application can accurately determine the installed capacity of the energy storage system.

Description

Technical Field

[0001] This application relates to the field of energy storage system technology, specifically to a method, apparatus, equipment, and storage medium for determining the installed capacity of an energy storage system. Background Technology

[0002] An energy storage system is a system that can store electrical energy and supply it to electrical devices when needed. The core function of an energy storage system is to address the mismatch between electricity supply and demand in terms of time, space, or intensity, improve energy efficiency, enhance grid stability, and increase the absorption capacity of renewable energy sources, such as photovoltaic power generation and wind power generation.

[0003] When planning energy storage systems for a power consumption area, the appropriate allocation of the installed capacity is crucial. If the installed capacity is set too high, it will lead to increased investment costs and idle resources, resulting in unnecessary waste. Conversely, if the installed capacity is set too low, the stored energy will not be able to effectively meet the power demand of the area, failing to fulfill its intended role in ensuring electricity supply. Therefore, it is necessary to accurately determine the installed capacity of the energy storage system. Summary of the Invention

[0004] In view of the above problems, this application provides a method, apparatus, equipment and storage medium for determining the installed capacity of an energy storage system, which solves the problem that the installed capacity of an energy storage system cannot be accurately determined in the prior art.

[0005] According to one aspect of the embodiments of this application, a method for determining the installed capacity of an energy storage system is provided. The energy storage system is used to be installed in an electricity consumption area. The method includes: acquiring a historical electricity load data sequence of the electricity consumption area, wherein the historical electricity load data sequence includes electricity load data corresponding to multiple historical sub-periods within a historical period; determining the simulation state of each simulated energy storage system in each historical sub-period based on the electricity price corresponding to each historical sub-period and the available power of each of multiple different simulated energy storage systems, wherein the multiple different simulated energy storage systems are different energy storage systems simulating installation in the electricity consumption area during the historical period, and the different simulated energy storage systems include different numbers of energy storage devices, and the simulation state includes a charging simulation state, a discharging simulation state, and a standby simulation state; and determining the simulation state and the available power of each simulated energy storage system according to the simulation state and the available power of each simulated energy storage system. The system uses the rated battery capacity and power of a single energy storage device, the number of energy storage devices in each simulated energy storage system, and the historical power load data sequence to determine multiple total simulated discharge quantities corresponding to multiple simulated energy storage systems within the historical period. Multiple cycle counts are determined based on these total simulated discharge quantities. A cycle is defined as the simulated energy storage system discharging from a fully charged state to a deactivated state and then recharging to a fully charged state within the historical period. The multiple total simulated discharge quantities correspond one-to-one with the multiple cycle counts. A first cycle count closest to the target cycle count is determined from the multiple cycle counts. A first total simulated discharge quantity corresponding to the first cycle count is determined from the multiple total simulated discharge quantities. A target simulated energy storage system corresponding to the first total discharge quantity is determined from the multiple simulated energy storage systems. The results are then processed using the formula... Calculate the installed capacity of the energy storage system. ,in, The target simulated energy storage system includes the number of energy storage devices. The rated battery capacity of each of the energy storage devices.

[0006] In one optional approach, the simulation state of the i-th simulated energy storage system among the multiple simulated energy storage systems in the t-th historical sub-period is determined by the following steps: if the electricity price in the electricity consumption area in the t-th historical sub-period is a first electricity price, the simulation state of the i-th simulated energy storage system is determined as the charging simulation state; if the electricity price in the electricity consumption area in the t-th historical sub-period is a second electricity price, the simulation state of the i-th simulated energy storage system is determined as the standby simulation state, wherein the second electricity price is higher than the first electricity price; if the electricity price in the electricity consumption area in the t-th historical sub-period is a third electricity price, and the available power of the i-th simulated energy storage system is greater than zero, the simulation state of the i-th simulated energy storage system is determined as the discharging simulation state, wherein the third electricity price is higher than the second electricity price; if the electricity price in the electricity consumption area in the t-th historical sub-period is the third electricity price, and the available power of the i-th simulated energy storage system is zero, the simulation state of the i-th simulated energy storage system is determined as the standby simulation state.

[0007] In one optional approach, the total simulated discharge amount corresponding to the i-th simulated energy storage system among the multiple simulated energy storage systems is determined by the following steps: if the simulated state of the i-th simulated energy storage system is the charging simulated state in the t-th historical sub-period, then based on the electricity billing method of the electricity consumption area, the rated battery capacity of the single energy storage device, the number of energy storage devices included in the i-th simulated energy storage system, the duration of the t-th historical sub-period, and the remaining available battery capacity of the i-th simulated energy storage system in the t-th historical sub-period, the simulated charging amount of the i-th simulated energy storage system in the t-th historical sub-period is determined. And through the formula Update the available power of the i-th simulated energy storage system ,in, In the first The available power of the i-th simulated energy storage system updated within each historical sub-period, if t is 1, then The value is zero, and t is a positive integer; if the simulated state of the i-th simulated energy storage system in the t-th historical sub-period is the discharge simulation state, then based on the available power of the i-th simulated energy storage system in the t-th historical sub-period, the rated power of the single energy storage device, the number of energy storage devices included in the i-th simulated energy storage system, the duration of the t-th historical sub-period, and the power load data corresponding to the t-th historical sub-period, the simulated discharge power of the i-th simulated energy storage system in the t-th historical sub-period is determined. And through the formula Update the available power of the i-th simulated energy storage system If the simulated state of the i-th simulated energy storage system in the t-th historical sub-period is the standby simulated state, then the available power of the i-th simulated energy storage system in the t-th historical sub-period is determined. for When the i-th simulated energy storage system is in the discharge simulation state during the plurality of historical sub-periods, the sum of the simulated discharge capacity of the i-th simulated energy storage system is determined, and the total simulated discharge capacity corresponding to the i-th simulated energy storage system is obtained.

[0008] In one optional approach, the simulated charging amount of the i-th simulated energy storage system during the t-th historical sub-period is determined based on the electricity billing method of the electricity consumption area, the rated battery capacity of the single energy storage device, the number of energy storage devices included in the i-th simulated energy storage system, the duration of the t-th historical sub-period, and the remaining available battery capacity of the i-th simulated energy storage system during the t-th historical sub-period. This includes: determining the upper limit of the charging power of the i-th simulated energy storage system in the t-th historical sub-period based on the electricity billing method. The electricity billing methods include demand-based billing and capacity-based billing; (using formulas) Determine the maximum allowable charging power of the i-th simulated energy storage system in the t-th historical sub-period. Where n is the number of energy storage devices included in the i-th simulated energy storage system. The rated power of a single energy storage device; expressed by the formula Determine the maximum allowable charging capacity of the i-th simulated energy storage system within the t-th historical sub-period. ,in, The duration of the t-th historical sub-period; expressed by the formula Determine the remaining usable battery capacity of the i-th simulated energy storage system during the t-th historical sub-period. ; through formula Determine the simulated charging amount of the i-th simulated energy storage system during the t-th historical sub-period. .

[0009] In one alternative approach, the upper limit of the charging power of the i-th simulated energy storage system in the t-th historical sub-period is determined according to the electricity billing method. This includes: if the electricity billing method is the demand-based billing method, then through the formula... Determine the upper limit of the charging power of the i-th simulated energy storage system in the t-th historical sub-period. ,in, The maximum demand value for the month containing the t-th historical sub-period. The capacity of the transformer in the aforementioned power consumption area. The electricity load data corresponding to the t-th historical sub-period; if the electricity billing method is the capacity billing method, then it is calculated using the formula... Determine the upper limit of the charging power of the i-th simulated energy storage system in the t-th historical sub-period. .

[0010] In one optional approach, the simulated discharge capacity of the i-th simulated energy storage system within the t-th historical sub-period is determined based on the available power of the i-th simulated energy storage system within the t-th historical sub-period, the rated power of a single energy storage device, the number of energy storage devices included in the i-th simulated energy storage system, the duration of the t-th historical sub-period, and the electricity load data corresponding to the t-th historical sub-period. , including: through formula Determine the maximum allowable discharge power of the i-th simulated energy storage system. Where n is the number of energy storage devices included in the i-th simulated energy storage system. The rated power of a single energy storage device; expressed by the formula Determine the maximum allowable discharge capacity of the i-th simulated energy storage system within the t-th historical sub-period. ,in, The duration of the t-th historical sub-period; expressed by the formula Determine the amount of electricity required for the t-th historical sub-period. ; through formula Determine the simulated discharge capacity of the i-th simulated energy storage system within the t-th historical sub-period. .

[0011] In one alternative approach, the interval between each of the aforementioned historical sub-time periods is 15 minutes.

[0012] According to another aspect of the embodiments of this application, an energy storage system installed capacity determination device is provided. The energy storage system is used to be installed in an electricity consumption area, comprising: an acquisition module, configured to acquire a historical electricity load data sequence of the electricity consumption area, wherein the historical electricity load data sequence includes electricity load data corresponding to multiple historical sub-periods within a historical period; a first determination module, configured to determine the simulation state of each simulated energy storage system in each historical sub-period based on the electricity price corresponding to each historical sub-period and the available power of each of multiple different simulated energy storage systems, wherein the multiple different simulated energy storage systems are simulations of different energy storage systems installed in the electricity consumption area during the historical period, and the different simulated energy storage systems include different numbers of energy storage devices, and the simulation state includes a charging simulation state, a discharging simulation state, and a standby simulation state; and a second determination module, configured to determine the simulation state and the available power of each of the simulated energy storage systems based on the simulation state and the available power of each of the simulated energy storage systems. The system uses the rated capacity and rated power of a single energy storage device, the number of energy storage devices included in each simulated energy storage system, and the historical power load data sequence to determine multiple total simulated discharge quantities corresponding to multiple simulated energy storage systems within the historical period. A third determining module is used to determine multiple cycle counts based on the multiple total simulated discharge quantities, wherein one cycle is defined as the simulated energy storage system discharging from a fully charged state to a cutoff state and then recharging to a fully charged state within the historical period, and the multiple total simulated discharge quantities correspond one-to-one with the multiple cycle counts. A fourth determining module is used to determine the first cycle count closest to the target cycle count from the multiple cycle counts, determine the first total simulated discharge quantity corresponding to the first cycle count from the multiple total simulated discharge quantities, and determine the target simulated energy storage system corresponding to the first total discharge quantity from the multiple simulated energy storage systems. A fifth determining module is used to determine the target simulated energy storage system corresponding to the first total discharge quantity using a formula. Calculate the installed capacity of the energy storage system. ,in, The target simulated energy storage system includes the number of energy storage devices. The rated battery capacity of each of the energy storage devices.

[0013] According to another aspect of the embodiments of this application, an energy storage system installed capacity determination device is provided, including a memory, a processor and a computer program stored in the memory, wherein the processor executes the computer program to implement the energy storage system installed capacity determination method as described above.

[0014] According to another aspect of the embodiments of this application, a computer-readable storage medium is provided, on which a computer program is stored, which, when executed by a processor, implements the energy storage system installed capacity determination method as described above.

[0015] In this embodiment, after obtaining the historical electricity load data sequence of the electricity consumption area, the total simulated discharge of each simulated energy storage system can be calculated more accurately by simulating the operation of simulated energy storage systems of different scales under the real electricity price in historical periods. Then, based on the total simulated discharge, the cycle number corresponding to each simulated energy storage system is determined. Next, by determining the simulated energy storage system corresponding to the first cycle number that is closest to the target cycle number as the target simulated energy storage system, it can be ensured that the installed capacity of the determined target simulated energy storage system can both maximize the use of peak-valley electricity price differences to reduce electricity costs and meet the electricity demand of the electricity consumption area. Finally, the installed capacity of the energy storage system can be determined more accurately by the number of energy storage devices included in the target simulated energy storage system and the rated battery capacity of the energy storage devices.

[0016] Furthermore, since charging the energy storage system from the grid is a cost of electricity, while providing power to electrical devices from the energy storage system is a revenue, from a business perspective, the electricity consumed when charging the energy storage system is a cost, while the energy provided by the energy storage system when discharging to electrical devices is the revenue that generates value. The cycle count measures the frequency at which an asset creates value. Moreover, energy loss typically occurs during the charging process (conversion efficiency is usually less than 100%). For example, if 105 kWh of electricity is charged from the grid to the energy storage system, the system can only provide 100 kWh of electricity to the electrical devices. In other words, the discharge capacity of the energy storage system is the system's final effective output, most accurately reflecting its actual contribution to the grid and users. Therefore, if the total simulated charging amount from the grid to the simulated energy storage system is determined, and subsequent steps are based on this total simulated charging amount to determine the installed capacity of the energy storage system, the actual workload of the energy storage system will be overestimated, thus reducing the accuracy of the determined installed capacity. In this application, the installed capacity of the energy storage system is determined by using the total simulated discharge of the simulated energy storage system, which avoids the above-mentioned problems and further improves the accuracy of the determined installed capacity of the energy storage system.

[0017] The above description is merely an overview of the technical solutions of the embodiments of this application. In order to better understand the technical means of the embodiments of this application and to implement them in accordance with the contents of the specification, and to make the above and other objects, features and advantages of the embodiments of this application more obvious and understandable, specific implementation methods of this application are described below. Attached Figure Description

[0018] The accompanying drawings are for illustrative purposes only and are not intended to limit the scope of this application. Furthermore, the same reference numerals denote the same parts throughout the drawings. In the drawings:

[0019] Figure 1 A flowchart illustrating the method for determining the installed capacity of an energy storage system provided in an embodiment of this application is shown.

[0020] Figure 2 A schematic diagram of the structure of the energy storage system installed capacity determination device provided in an embodiment of this application is shown;

[0021] Figure 3 A schematic diagram of the structure of the energy storage system installed capacity determination device provided in the embodiment of this application is shown. Detailed Implementation

[0022] Exemplary embodiments of the present application will now be described in more detail with reference to the accompanying drawings. Although exemplary embodiments of the present application are shown in the drawings, it should be understood that the present application may be implemented in various forms and should not be limited to the embodiments set forth herein.

[0023] With the deepening of electricity market reform, time-of-use pricing mechanisms have been widely adopted in many regions. This mechanism divides the day into different time periods based on the peak and valley variations of the power grid load, with each period corresponding to a different electricity price standard. Typically, the price during peak hours is significantly higher than that during off-peak hours.

[0024] Against this backdrop, energy storage systems, as flexible power regulation systems, are increasingly demonstrating their application value. A typical existing application model is as follows: during off-peak hours when electricity prices are low, the energy storage system is charged by the grid to store electrical energy; during peak hours when electricity prices are high, the energy storage system is controlled to supply the stored electrical energy to electrical devices, thereby reducing the amount of electricity that electrical devices draw from the grid during peak hours and thus reducing electricity costs.

[0025] The installed capacity of an energy storage system directly determines the total electrical energy it can store. Therefore, to minimize electricity costs, the installed capacity of the energy storage system must be sufficient to meet the electricity demand of electrical equipment during peak hours. However, if the installed capacity of the energy storage system is too large, too many energy storage devices will be required, leading to increased investment costs and idle resources, resulting in unnecessary waste. If the installed capacity of the energy storage system is too small, it will not be able to meet the electricity demand of electrical equipment during peak hours, thus failing to minimize electricity costs. In other words, an excessively large installed capacity may lead to the energy storage system not discharging all its electricity during peak hours, resulting in wasted energy storage devices; while an excessively small installed capacity will not maximize economic benefits.

[0026] The installed capacity of an energy storage system can generally be estimated by looking at past monthly electricity bills for the area. However, this estimation method is relatively simple. Although it can provide a reference to some extent, its data granularity is coarse and its time resolution is low. It is difficult to capture the short-term fluctuations and peak characteristics of the load of electrical equipment, which will cause the determined installed capacity to deviate from the actual demand.

[0027] To accurately determine the installed capacity of an energy storage system, this application provides a method for determining the installed capacity of an energy storage system. Based on historical electricity load data of an electricity consumption area and electricity prices at different times, different simulated energy storage systems (each simulated energy storage system includes a different number of energy storage devices) are simulated for the electricity consumption area during historical periods. The charging and discharging simulation of each simulated energy storage system is determined. Based on the charging and discharging simulation of the simulated energy storage system, the battery cycle count corresponding to each simulated energy storage system within that historical period is determined. The simulated energy storage system corresponding to the first cycle count closest to the target cycle count among the determined multiple cycle counts is determined as the target simulated energy storage system. Finally, based on the number of energy storage devices included in the target simulated energy storage system and the rated battery capacity of a single energy storage device, the installed capacity of the energy storage system can be determined more accurately.

[0028] Figure 1 This diagram illustrates a flowchart of a method for determining the installed capacity of an energy storage system according to an embodiment of this application. The method is executed by an electronic device, which may be an electronic device including one or more processors, such as a tablet computer, a computer, or a server. The processor may be a central processing unit (CPU), an application-specific integrated circuit (ASIC), or one or more integrated circuits configured to implement the embodiments of this application; no limitation is made herein. The one or more processors included in the electronic device may be processors of the same type, such as one or more CPUs; or they may be processors of different types, such as one or more CPUs and one or more ASICs; no limitation is made herein. Figure 1 As shown, the method includes the following steps:

[0029] Step 110: Obtain the historical electricity load data sequence of the electricity consumption area.

[0030] The electricity consumption area refers to the area where energy storage systems need to be installed, such as an industrial park. A significant component of electricity bills for industrial and commercial users is the "demand charge," which is based on the user's highest average power consumption within a billing cycle (usually one month). The calculation window for this "average power consumption" is explicitly defined as 15 minutes in the grid company's rules. In other words, the grid company continuously monitors users' electricity consumption, dividing the month's electricity usage into numerous consecutive, non-overlapping 15-minute segments. It calculates the average power consumption within each segment, and then identifies the highest average power consumption among all these calculations. This highest average power consumption is the "maximum demand" for that month, and it serves as the basis for charging the demand charge. Furthermore, modern smart meters typically calculate users' electricity consumption in 15-minute cycles.

[0031] Therefore, in this step, electricity load data corresponding to multiple historical sub-periods within the historical time period of the electricity consumption area is obtained. Preferably, each historical sub-period lasts for 15 minutes. By obtaining the electricity load data every 15 minutes within the historical time period, the "maximum demand" for each month can be determined more accurately based on the obtained historical electricity load data sequence. This allows for the assessment of the installed capacity of the energy storage system based on the "maximum demand" for each month. The historical time period can be the past six months or one year closest to the current time. For example, if the historical time period is the past year closest to the current time, and the duration of each historical sub-period is 15 minutes, then the historical electricity load data sequence obtained in this step includes electricity load data corresponding to 35,040 historical sub-periods.

[0032] Understandably, the longer the historical period in this step, the more data the historical electricity load data sequence will contain, and correspondingly, the higher the accuracy of determining the installed capacity of the energy storage system based on this historical electricity load sequence. However, because the larger the data volume, the more time is required for data processing and analysis, leading to a decrease in the efficiency of determining the installed capacity of the energy storage system. Therefore, in this step, the historical period can be determined as needed. If a higher accuracy of the energy storage system installed capacity is required, a longer historical period corresponding to the historical electricity load data sequence can be obtained; if the efficiency of determining the energy storage system installed capacity needs to be improved, a shorter historical period (e.g., the most recent 3-6 months) corresponding to the historical electricity load data sequence can be selected for rapid evaluation, thereby quickly obtaining the energy storage system installed capacity within an acceptable range of accuracy loss.

[0033] To determine the optimal installed capacity of the energy storage system, this application embodiment uses simulation to virtually configure multiple different energy storage systems for the electricity consumption area based on historical electricity load data. For ease of distinction later, these virtual energy storage systems set up during the simulation process are referred to as simulated energy storage systems. In this application embodiment, multiple different simulated energy storage systems are simulated for the electricity consumption area during historical periods, wherein the number of energy storage devices included in different simulated energy storage systems varies. For example, 30 simulated energy storage systems can be simulated, each including 1 to 30 energy storage devices, or 100 energy storage systems can be simulated, each including 1 to 100 energy storage devices.

[0034] Step 120: Determine the simulation status of each simulation energy storage system in each historical sub-period based on the electricity price corresponding to each historical sub-period and the available electricity of each of the multiple different simulated energy storage systems.

[0035] The simulated states of the simulated energy storage system include charging simulation state, discharging simulation state, and standby simulation state. Charging simulation state refers to the state where the simulated energy storage system is charged by the grid during historical sub-time periods, enabling the system to store electrical energy. Discharging simulation state refers to the state where the simulated energy storage system provides its stored electrical energy to electrical devices in the power consumption area during historical sub-time periods. Standby simulation state refers to the state where the simulated energy storage system is neither in charging simulation state nor discharging simulation state.

[0036] Since the differences between multiple simulated energy storage systems lie only in the number of energy storage devices included, and the differences between multiple historical sub-time periods are only in the time dimension, for ease of explanation, the following description will only use the i-th simulated energy storage system among multiple simulated energy storage systems and the t-th historical sub-time period among multiple historical sub-time periods as examples. The following will specifically explain how to determine the simulated state of the i-th simulated energy storage system in the t-th historical sub-time period based on the electricity price corresponding to the t-th historical sub-time period and the available electricity of the i-th simulated energy storage system. Here, i and t are both positive integers.

[0037] In practical applications of energy storage systems, the system is typically charged by the grid during periods of lowest electricity prices to store energy, and then supplied to electrical devices during periods of higher electricity prices, thereby reducing electricity costs. Therefore, this step determines the simulated state of the simulated energy storage system by simulating actual application scenarios. Specifically, if the electricity price in the region during the t-th historical sub-period is the first electricity price (i.e., the t-th historical sub-period is a valley electricity price period), the simulated state of the i-th simulated energy storage system is determined to be a charging simulation state. If the electricity price in the region during the t-th historical sub-period is the second electricity price (i.e., the t-th historical sub-period is a flat electricity price period), the simulated state of the i-th simulated energy storage system is determined to be a standby simulation state. If the electricity price in the region during the t-th historical sub-period is the third electricity price (i.e., the t-th historical sub-period is a peak electricity price period), and the available power of the i-th simulated energy storage system is greater than zero, the simulated state of the i-th simulated energy storage system is determined to be a discharging simulation state. If the electricity price in the electricity consumption area during the t-th historical sub-period is the third electricity price, and the available electricity of the ith simulated energy storage system is zero, then the simulated state of the ith simulated energy storage system is determined as a standby simulated state. Here, the second electricity price is higher than the first electricity price, and the third electricity price is higher than the second electricity price.

[0038] Step 130: Based on the simulation status, the rated battery capacity and rated power of each energy storage device in each simulated energy storage system, the number of energy storage devices included in each simulated energy storage system, and the historical power load data sequence, determine the multiple total simulated discharge quantities corresponding to multiple simulated energy storage systems within the historical period.

[0039] Specifically, after determining the simulated state of each simulated energy storage system in each historical sub-period, if the simulated state of a simulated energy storage system in a certain historical sub-period is a discharge simulation state, the simulated discharge amount of the simulated energy storage system can be determined based on the electricity load data of the electricity consumption area in that historical sub-period. Finally, by summing the simulated discharge amounts of the i-th simulated energy storage system in each historical sub-period, the total simulated discharge amount corresponding to the i-th simulated energy storage system can be obtained.

[0040] Step 140: Determine multiple cycle numbers based on multiple total simulated discharge quantities.

[0041] One complete cycle of the energy storage system refers to the process of discharging from a fully charged state to a cutoff state and then recharging to a fully charged state. In this step, the number of cycles corresponding to the i-th simulated energy storage system can be determined by the following formula (1).

[0042] (1)

[0043] in, is the total simulated discharge corresponding to the i-th simulated energy storage system, and n is the number of energy storage devices included in the i-th simulated energy storage system. It is the rated battery capacity of each energy storage device.

[0044] Step 150: Determine the first loop number that is closest to the target loop number among multiple loop counts.

[0045] If the electricity consumption area has two off-peak electricity price periods each day, to minimize electricity costs, the energy storage system can be charged during these periods, with each charge cycle starting from a fully discharged state (zero electricity consumption) and charging to full capacity. In this operating mode, the energy storage system will undergo a maximum of two complete battery cycles per day, meaning a maximum of two cycles. Therefore, when determining the target number of cycles, the target number can be determined by considering the maximum number of cycles the energy storage system can achieve per day while minimizing electricity costs. For example, if the historical period is one year with 365 days, the target number of cycles could be set at 730. However, in actual operation, days when the equipment in the electricity consumption area cannot operate normally due to holidays, equipment maintenance, or special circumstances (such as production shutdowns) need to be deducted. Typically, the operating time of the equipment in a year is 330 days, so the target number of cycles could be set at 660.

[0046] It is worth noting that the target number of cycles is determined based on the off-peak electricity pricing period included in each day of the electricity consumption area and the operating time of electrical equipment in the area during historical periods. Different electricity consumption areas will have different target number of cycles if the off-peak electricity pricing period and the operating time of electrical equipment vary each day.

[0047] This step determines the first cycle number that is closest to the target cycle number from the multiple cycle numbers corresponding to the multiple total simulated discharge quantities determined in step 140.

[0048] Step 160: Determine the first total simulated discharge quantity corresponding to the first cycle number from multiple total simulated discharge quantities.

[0049] Since multiple total simulated discharge quantities correspond one-to-one with multiple cycle counts, in this step, the first total simulated discharge quantity corresponding to the first cycle count can be determined based on the correspondence between multiple total simulated discharge quantities and multiple cycle counts.

[0050] Step 170: Determine the target simulated energy storage system corresponding to the first total simulated discharge from multiple simulated energy storage systems.

[0051] Since multiple simulated energy storage systems correspond one-to-one with multiple total simulated discharge quantities, the target simulated energy storage system corresponding to the first total simulated charge can be determined in this step based on the correspondence between the multiple simulated energy storage systems and the multiple total simulated discharge quantities.

[0052] Step 180: Using the formula Calculate the installed capacity of energy storage systems .

[0053] In this step, the installed capacity of the energy storage system can be determined by multiplying the number of energy storage devices included in the system by the rated battery capacity of each individual energy storage device. To simulate the number of energy storage devices included in a target energy storage system, The rated battery capacity for each energy storage device.

[0054] In this embodiment, after obtaining the historical electricity load data sequence of the electricity consumption area, the total simulated discharge of each simulated energy storage system can be calculated more accurately by simulating the operation of simulated energy storage systems of different scales under the real electricity price in historical periods. Then, based on the total simulated discharge, the cycle number corresponding to each simulated energy storage system is determined. Next, by determining the simulated energy storage system corresponding to the first cycle number that is closest to the target cycle number as the target simulated energy storage system, it can be ensured that the installed capacity of the determined target simulated energy storage system can both maximize the use of peak-valley electricity price differences to reduce electricity costs and meet the electricity demand of the electricity consumption area. Finally, the installed capacity of the energy storage system can be determined more accurately by the number of energy storage devices included in the target simulated energy storage system and the rated battery capacity of the energy storage devices.

[0055] Furthermore, since charging the energy storage system from the grid is a cost of electricity, while providing power to electrical devices from the energy storage system is a revenue, from a commercial perspective, the electricity consumed when charging the energy storage system is a cost, while the electricity provided by the energy storage system when discharging to electrical devices is the revenue that generates value. The cycle count measures the frequency at which an asset creates value. Moreover, energy loss typically occurs during the charging process (conversion efficiency is usually less than 100%). For example, if 105 kWh of electricity is charged from the grid to the energy storage system, the system can only provide 100 kWh to the electrical devices. In other words, the discharge capacity of the energy storage system is the final effective output of the system, most accurately reflecting its actual contribution to the grid and users. Therefore, in step 130 of this application, if the total simulated charging amount from the grid to the simulated energy storage system is determined, and subsequent steps determine the installed capacity of the energy storage system based on this total simulated charging amount, the actual workload of the energy storage system will be overestimated, thereby reducing the accuracy of the determined installed capacity. In this application, the installed capacity of the energy storage system is determined by using the total simulated discharge of the simulated energy storage system, which avoids the above-mentioned problems and further improves the accuracy of the determined installed capacity of the energy storage system.

[0056] Moreover, in this application, preferably by setting the historical sub-period to 15 minutes, it is possible to capture and simulate the management of demand peaks at the 15-minute level, so that the final determined installed capacity is highly accurate and the reliability of investment decisions is greatly enhanced.

[0057] The following section describes how to determine the total simulated discharge for each simulated energy storage system. Specifically, the total simulated discharge for the i-th simulated energy storage system is determined through the following steps a1 to a4.

[0058] Step a1: If the simulated state of the i-th simulated energy storage system in the t-th historical sub-period is a charging simulation state, then based on the electricity billing method of the electricity consumption area, the rated battery capacity of a single energy storage device, the number of energy storage devices included in the i-th simulated energy storage system, the duration of the t-th historical sub-period, and the remaining usable battery capacity of the i-th simulated energy storage system in the t-th historical sub-period, determine the simulated charging amount of the i-th simulated energy storage system in the t-th historical sub-period. And through the formula Update the available power of the i-th simulated energy storage system .in, In the first The available power of the i-th simulated energy storage system updated within each historical sub-period, if t is 1, then It is zero.

[0059] Specifically, the simulated charging capacity of the i-th simulated energy storage system can be determined through the following steps a11 to a15. .

[0060] Step a11: Determine the upper limit of the charging power of the i-th simulated energy storage system in the t-th historical sub-period based on the electricity billing method. Electricity billing methods include demand-based billing and capacity-based billing.

[0061] Specifically, if the electricity billing method is demand-based, the upper limit of the charging power of the i-th simulated energy storage system in the t-th historical sub-period is determined by the following formula (2). .

[0062] (2)

[0063] in, Let be the maximum demand value for the month containing the t-th historical sub-period. The capacity of the transformer in the electricity consumption area. The electricity load data obtained in step 110 is the electricity load data corresponding to the t-th historical sub-period in the electricity load data sequence.

[0064] If electricity is billed on a demand-based basis, the higher the maximum monthly demand, the higher the electricity bill. When charging the energy storage system during off-peak hours, the charging power is included in the electricity load of the consumption area. Since during off-peak hours, in addition to charging the energy storage system through the grid, electricity is also supplied to electrical equipment in the consumption area through the grid, to ensure the lowest possible electricity cost, the sum of the charging power and the real-time load of the electrical equipment must be kept below the "maximum demand" benchmark value during off-peak hours to avoid higher demand-based electricity bills. Simultaneously, considering the physical capacity limitations of transformers, this total load must also be lower than the rated capacity of the transformers to ensure the safe and stable operation of the power grid.

[0065] Therefore, the upper limit of charging power is determined by the above formula (2). This ensures a defined upper limit for charging power. To maximize the charging efficiency of energy storage systems while meeting both economic and safety constraints.

[0066] If the electricity billing method is capacity billing, then the upper limit of the charging power of the i-th simulated energy storage system in the t-th historical sub-period is determined by the following formula (3). .

[0067] (3)

[0068] When the electricity billing method is capacity-based, the electricity cost is only related to the total electricity consumption. Therefore, it is only necessary to ensure that the sum of the electrical energy supplied by the power grid to the electrical equipment in the electricity consumption area and the electrical energy charged to the energy storage system does not exceed the transformer capacity.

[0069] Step a12: Determine the maximum allowable charging power of the i-th simulated energy storage system in the t-th historical sub-period using the following formula (4). .

[0070] (4)

[0071] Where n is the number of energy storage devices included in the i-th simulated energy storage system. This refers to the rated power of a single energy storage device.

[0072] Step a13: Determine the maximum allowable charging capacity of the i-th simulated energy storage system in the t-th historical sub-period using the following formula (5). .

[0073] (5)

[0074] in, Let be the duration of the t-th historical sub-period. If the duration of the historical sub-period is 15 minutes, then... It takes 0.25 hours.

[0075] Step a14: Determine the remaining usable battery capacity of the i-th simulated energy storage system in the t-th historical sub-period using the following formula (6). .

[0076] (6)

[0077] Among them, due to the first The available power of the i-th simulated energy storage system updated within each historical sub-period is the power available at the i-th simulated energy storage system. The last moment of each historical sub-period represents the amount of electricity stored in the simulated energy storage system. Therefore, in this step, the total battery capacity of the simulated energy storage system is subtracted from the amount stored in the first historical sub-period. The remaining usable battery capacity of the simulated energy storage system can be determined by updating the available power of the i-th simulated energy storage system within each historical sub-period. For example, if the total battery capacity of the simulated energy storage system is 100%, the remaining usable battery capacity of the simulated energy storage system can be determined by updating the available power of the i-th simulated energy storage system within each historical sub-period. If the available power of the i-th simulated energy storage system updated within a historical sub-period is 80%, then the remaining available battery capacity of the i-th simulated energy storage system within the t-th historical sub-period is 20%.

[0078] Step a15: Determine the simulated charging amount of the i-th simulated energy storage system in the t-th historical sub-period using the following formula (7). .

[0079] (7)

[0080] Because when charging an energy storage system, the upper limit of the charging power is limited. The maximum allowable charging capacity is related to the remaining usable battery capacity of the energy storage system. Therefore, in this step, the simulated charging capacity of the i-th simulated energy storage system in the t-th historical sub-period is determined by the above formula (7). This ensures that the simulated charging capacity simultaneously meets the requirements of three dimensions: external grid constraints, system performance limitations, and remaining battery capacity. In other words, the simulated charging capacity determined through this method will not exceed the charging power allowed by the grid and transformer, nor will it exceed the rated power of the energy storage system, nor will it exceed the remaining usable battery capacity. This makes the simulated charging process highly realistic, ensuring that the installed capacity of the energy storage system can be accurately determined subsequently.

[0081] Step a2: If the simulated state of the i-th simulated energy storage system in the t-th historical sub-period is a discharge simulation state, then based on the available power of the i-th simulated energy storage system in the t-th historical sub-period, the rated power of a single energy storage device, the number of energy storage devices included in the i-th simulated energy storage system, the duration of the t-th historical sub-period, and the corresponding power load data, determine the simulated discharge power of the i-th simulated energy storage system in the t-th historical sub-period. And through the formula Update the available power of the i-th simulated energy storage system .

[0082] Specifically, the simulated discharge capacity of the i-th simulated energy storage system It can be determined through the following steps a21 to a24.

[0083] Step a21: Determine the maximum allowable discharge power of the i-th simulated energy storage system using the following formula (8). .

[0084] (8)

[0085] Step a22: Determine the maximum allowable discharge capacity of the i-th simulated energy storage system within the t-th historical sub-period using the following formula (9). .

[0086] (9)

[0087] Step a23: Determine the required electricity for the t-th historical sub-period using the following formula (10). .

[0088] (10)

[0089] Step a24: Determine the simulated discharge capacity of the i-th simulated energy storage system in the t-th historical sub-period using the following formula (11). .

[0090] (11)

[0091] Among them, the simulated discharge capacity of the i-th simulated energy storage system within the t-th historical sub-period is determined. Determine the simulated charging capacity of the i-th simulated energy storage system. The principle is similar, so the principle and specific implementation of steps a21 to a24 can be referred to steps a11 to a15, which will not be repeated here.

[0092] Step a3: If the simulated state of the i-th simulated energy storage system in the t-th historical sub-period is a standby simulated state, then determine the available power of the i-th simulated energy storage system in the t-th historical sub-period. for .

[0093] If the simulated energy storage system is in standby state during the t-th historical sub-period, then the simulated energy storage system is neither in simulated charging nor simulated discharging state. Therefore, the available power of the simulated energy storage system remains unchanged during the t-th historical sub-period, which is the same as the t-th historical sub-period. The last moment of each historical sub-period simulates the available power of the energy storage system. same.

[0094] Step a4: Determine the sum of the simulated discharge capacity of the i-th simulated energy storage system when the i-th simulated energy storage system is in a discharge simulation state during multiple historical sub-periods, and obtain the total simulated discharge capacity corresponding to the i-th simulated energy storage system.

[0095] The total simulated discharge of the i-th simulated energy storage system during all historical sub-periods can be obtained by accumulating the simulated discharge amount when the i-th simulated energy storage system is in the simulated discharge state throughout all historical sub-periods.

[0096] This application's embodiments, by comprehensively considering multiple factors such as electricity price, electricity load, energy storage system performance, and grid constraints, can accurately determine the simulated discharge and charge quantities of the simulated energy storage system, thereby highly realistically reproducing its operational performance under historical conditions. This precise simulation based on multiple constraints is not a simple electricity statistics exercise, but a precise simulation of the actual behavior, cycle life consumption, and economic contribution of the energy storage system. Therefore, determining the installed capacity of the energy storage system based on the total simulated discharge quantity obtained from this more accurate simulation can further improve the accuracy and reliability of the determined installed capacity.

[0097] Figure 2A schematic diagram of the structure of the energy storage system installed capacity determination device provided in an embodiment of this application is shown. Figure 2 As shown, the energy storage system installed capacity determination device 200 includes: an acquisition module 201, a first determination module 202, a second determination module 203, a third determination module 204, a fourth determination module 205, and a fifth determination module 206.

[0098] The acquisition module 201 acquires the historical electricity load data sequence of the electricity consumption area, which includes electricity load data corresponding to multiple historical sub-periods within the historical period. The first determination module 202 determines the simulation status of each simulated energy storage system in each historical sub-period based on the electricity price corresponding to each historical sub-period and the available power of each of the multiple different simulated energy storage systems. The multiple different simulated energy storage systems simulate different energy storage systems set up for the electricity consumption area during the historical period, and each simulated energy storage system includes a different number of energy storage devices. The simulation status includes charging simulation status, discharging simulation status, and standby simulation status. The second determination module 203 determines the multiple total simulated discharge amounts corresponding to the multiple simulated energy storage systems within the historical period based on the simulation status, the rated battery capacity and rated power of each energy storage device in each simulated energy storage system, the number of energy storage devices included in each simulated energy storage system, and the historical electricity load data sequence. The third determining module 204 determines multiple cycle counts based on multiple total simulated discharge values. A cycle is defined as the simulated energy storage system discharging from a fully charged state to a cutoff state and then recharging to a fully charged state within a historical time period. Multiple total simulated discharge values ​​correspond one-to-one with multiple cycle counts. The fourth determining module 205 determines the first cycle count closest to the target cycle count from among the multiple cycle counts, determines the first total simulated discharge value corresponding to the first cycle count from among the multiple total simulated discharge values, and determines the target simulated energy storage system corresponding to the first total simulated discharge value from among the multiple simulated energy storage systems. The fifth determining module 206 uses a formula... Calculate the installed capacity of energy storage systems ,in, To simulate the number of energy storage devices included in the target energy storage system, The rated battery capacity for each energy storage device.

[0099] The energy storage system installed capacity determination device 200 provided in this embodiment is used to execute the technical solution of the energy storage system installed capacity determination method in the aforementioned method embodiment. Its implementation principle and technical effect are similar, and will not be described again here.

[0100] It is worth noting that the energy storage system installed capacity determination device 200 provided in this embodiment also includes other modules for performing the steps of the above-described energy storage system installed capacity determination method embodiment, which will not be described in detail here.

[0101] Figure 3 The diagram shows a structural schematic of the energy storage system installed capacity determination device provided in the embodiment of this application. The specific embodiments of this application do not limit the specific implementation of the energy storage system installed capacity determination device.

[0102] like Figure 3 As shown, the energy storage system capacity determination device 300 may include a processor 302 and a memory 304.

[0103] The memory 304 is used to store the computer program 306. The memory 304 may include high-speed RAM, and may also include non-volatile memory, such as at least one disk drive. The computer program 306 may include computer-executable instructions.

[0104] The processor 302 is used to execute the computer program 306 to implement the above-described embodiment of the method for determining the installed capacity of the energy storage system.

[0105] Processor 302 may be a central processing unit (CPU), an application-specific integrated circuit (ASIC), or one or more integrated circuits configured to implement the embodiments of this application. The energy storage system installed capacity determination device 300 includes one or more processors, which may be processors of the same type, such as one or more CPUs; or processors of different types, such as one or more CPUs and one or more ASICs.

[0106] This application provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the above-described method for determining the installed capacity of an energy storage system.

[0107] This application provides a computer program that can be executed by a processor to implement the above-described method for determining the installed capacity of an energy storage system.

[0108] This application provides a computer program product, which includes a computer program that, when executed by a processor, implements the above-described method for determining the installed capacity of an energy storage system.

[0109] In the several embodiments provided in this application, any function, if implemented as a software functional module / unit and sold or used as an independent product, can be stored in a computer-readable storage medium. Based on this understanding, all or part of the technical solution of this application can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or other electronic device) to execute all or part of the steps of the methods described in the various embodiments of this application. The aforementioned storage medium includes various media capable of storing computer program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0110] The algorithms or displays provided herein are not inherently related to any particular computer, virtual system, or other device. Various general-purpose systems can also be used in conjunction with the teachings herein. The required structure for constructing such systems is apparent from the above description. Furthermore, the embodiments of this application are not directed to any particular programming language. It should be understood that the content of this application described herein can be implemented using various programming languages, and the above description of specific languages ​​is for the purpose of disclosing the best mode of implementation of this application.

[0111] It should be noted that the above embodiments are illustrative of this application and not restrictive, and those skilled in the art can devise alternative embodiments without departing from the scope of the appended claims. In the claims, any reference signs placed between parentheses should not be construed as limiting the claims. The word "comprising" does not exclude the presence of elements or steps not listed in the claims. The word "a" or "an" preceding an element does not exclude the presence of a plurality of such elements. This application can be implemented by means of hardware comprising several different elements and by means of a suitably programmed computer. In claims enumerating several means, several units or modules of these means may be embodied by the same item of hardware. The use of the words first, second, and third, etc., does not indicate any order. These words can be interpreted as names. The steps in the above embodiments, unless otherwise specified, should not be construed as limiting the order of execution.

[0112] The embodiments described above are merely illustrative of several implementation methods of this application, and while the descriptions are specific and detailed, they should not be construed as limiting the scope of this patent application. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of this application, and these all fall within the protection scope of this application. Therefore, the protection scope of this application should be determined by the appended claims.

Claims

1. A method for determining the installed capacity of an energy storage system, wherein the energy storage system is used to be installed in an electricity consumption area, characterized in that, The method includes: Obtain the historical electricity load data sequence of the electricity consumption area, wherein the historical electricity load data sequence includes electricity load data corresponding to multiple historical sub-periods within the historical period; Based on the electricity price corresponding to each of the historical sub-periods and the available power of each of the multiple different simulated energy storage systems, the simulation state of each simulated energy storage system in each of the historical sub-periods is determined. The multiple different simulated energy storage systems are different energy storage systems that are simulated to be set up for the electricity consumption area in the historical period. The number of energy storage devices included in the different simulated energy storage systems is different. The simulation state includes charging simulation state, discharging simulation state and standby simulation state. Based on the simulated state, the rated battery capacity and rated power of a single energy storage device in each of the simulated energy storage systems, the number of energy storage devices included in each of the simulated energy storage systems, and the historical electricity load data sequence, the total simulated discharge amount corresponding to each of the simulated energy storage systems in the historical period is determined. Multiple cycle counts are determined based on the multiple total simulated discharge amounts. A cycle is defined as the simulated energy storage system discharging from a fully charged state to a cutoff state and then recharging to a fully charged state within the historical period. The multiple total simulated discharge amounts correspond one-to-one with the multiple cycle counts. Among the plurality of cycle counts, a first cycle count that is closest to the target cycle count is determined; from the plurality of total simulated discharge counts, a first total simulated discharge count corresponding to the first cycle count is determined; and from the plurality of simulated energy storage systems, a target simulated energy storage system corresponding to the first total simulated discharge count is determined. Through formula Calculate the installed capacity of the energy storage system. ,in, The target simulated energy storage system includes the number of energy storage devices. The rated battery capacity of each of the energy storage devices; wherein, The total simulated discharge quantity corresponding to the i-th simulated energy storage system among the plurality of simulated energy storage systems is determined by the following steps: If the simulated state of the i-th simulated energy storage system in the t-th historical sub-period is the charging simulation state, then based on the electricity billing method of the electricity consumption area, the rated battery capacity of the single energy storage device, the number of energy storage devices included in the i-th simulated energy storage system, the duration of the t-th historical sub-period, and the remaining available battery capacity of the i-th simulated energy storage system in the t-th historical sub-period, the simulated charging amount of the i-th simulated energy storage system in the t-th historical sub-period is determined. And through the formula Update the available power of the i-th simulated energy storage system ,in, In the first The available power of the i-th simulated energy storage system updated within each historical sub-period, if t is 1, then The integer is zero, and t is a positive integer; If the simulated state of the i-th simulated energy storage system in the t-th historical sub-period is the discharge simulation state, then based on the available power of the i-th simulated energy storage system in the t-th historical sub-period, the rated power of the single energy storage device, the number of energy storage devices included in the i-th simulated energy storage system, the duration of the t-th historical sub-period, and the power load data corresponding to the t-th historical sub-period, the simulated discharge power of the i-th simulated energy storage system in the t-th historical sub-period is determined. And through the formula Update the available power of the i-th simulated energy storage system ; If the simulated state of the i-th simulated energy storage system in the t-th historical sub-period is the standby simulated state, then the available power of the i-th simulated energy storage system in the t-th historical sub-period is determined. for ; When the i-th simulated energy storage system is in the discharge simulation state during the plurality of historical sub-periods, the sum of the simulated discharge capacity of the i-th simulated energy storage system is determined to obtain the total simulated discharge capacity corresponding to the i-th simulated energy storage system.

2. The method according to claim 1, characterized in that, The simulation state of the i-th simulated energy storage system among the multiple simulated energy storage systems in the t-th historical sub-period is determined by the following steps: If the electricity price in the electricity consumption area during the t-th historical sub-period is the first electricity price, the simulation state of the i-th simulated energy storage system is determined as the charging simulation state; If the electricity price in the electricity consumption area during the t-th historical sub-period is the second electricity price, the simulation state of the i-th simulated energy storage system is determined as the standby simulation state, wherein the second electricity price is higher than the first electricity price; If the electricity price in the electricity consumption area during the t-th historical sub-period is the third electricity price, and the available electricity of the i-th simulated energy storage system is greater than zero, the simulated state of the i-th simulated energy storage system is determined as the discharge simulated state, wherein the third electricity price is higher than the second electricity price; If the electricity price in the electricity consumption area during the t-th historical sub-period is the third electricity price, and the available power of the i-th simulated energy storage system is zero, then the simulated state of the i-th simulated energy storage system is determined as the standby simulated state.

3. The method according to claim 1, characterized in that, The method of determining the simulated charging amount of the i-th simulated energy storage system during the t-th historical sub-period is based on the electricity billing method of the electricity consumption area, the rated battery capacity of the single energy storage device, the number of energy storage devices included in the i-th simulated energy storage system, the duration of the t-th historical sub-period, and the remaining available battery capacity of the i-th simulated energy storage system during the t-th historical sub-period. ,include: The upper limit of the charging power of the i-th simulated energy storage system in the t-th historical sub-period is determined according to the electricity billing method. The electricity billing methods include demand-based billing and capacity-based billing. Through formula Determine the maximum allowable charging power of the i-th simulated energy storage system in the t-th historical sub-period. Where n is the number of energy storage devices included in the i-th simulated energy storage system. This refers to the rated power of a single energy storage device. Through formula Determine the maximum allowable charging capacity of the i-th simulated energy storage system within the t-th historical sub-period. ,in, Let be the duration of the t-th historical sub-period; Through formula Determine the remaining usable battery capacity of the i-th simulated energy storage system during the t-th historical sub-period. ; Through formula Determine the simulated charging amount of the i-th simulated energy storage system during the t-th historical sub-period. .

4. The method according to claim 3, characterized in that, The upper limit of the charging power of the i-th simulated energy storage system in the t-th historical sub-period is determined according to the electricity billing method. ,include: If the electricity billing method is the demand-based billing method, then by formula Determine the upper limit of the charging power of the i-th simulated energy storage system in the t-th historical sub-period. ,in, Let be the maximum demand value for the month containing the t-th historical sub-period. The capacity of the transformer in the aforementioned power consumption area. The electricity load data corresponding to the t-th historical sub-period; If the electricity billing method is the capacity-based billing method, then it is calculated using the formula. Determine the upper limit of the charging power of the i-th simulated energy storage system in the t-th historical sub-period. .

5. The method according to claim 1, characterized in that, The simulated discharge capacity of the i-th simulated energy storage system within the t-th historical sub-period is determined based on the available power of the i-th simulated energy storage system, the rated power of a single energy storage device, the number of energy storage devices included in the i-th simulated energy storage system, the duration of the t-th historical sub-period, and the electricity load data corresponding to the t-th historical sub-period. ,include: Through formula Determine the maximum allowable discharge power of the i-th simulated energy storage system. Where n is the number of energy storage devices included in the i-th simulated energy storage system. This refers to the rated power of a single energy storage device. Through formula Determine the maximum allowable discharge capacity of the i-th simulated energy storage system within the t-th historical sub-period. ,in, Let be the duration of the t-th historical sub-period; Through formula Determine the amount of electricity required for the t-th historical sub-period. ; Through formula Determine the simulated discharge capacity of the i-th simulated energy storage system within the t-th historical sub-period. .

6. The method according to any one of claims 1 to 5, characterized in that, Each of the aforementioned historical sub-periods is 15 minutes long.

7. A device for determining the installed capacity of an energy storage system, wherein the energy storage system is used to be installed in an electricity consumption area, characterized in that, The device includes: The acquisition module is used to acquire the historical electricity load data sequence of the electricity consumption area, wherein the historical electricity load data sequence includes electricity load data corresponding to multiple historical sub-periods within the historical period; The first determining module is used to determine the simulation state of each simulated energy storage system in each of the historical sub-periods based on the electricity price corresponding to each of the historical sub-periods and the available power of each of the multiple different simulated energy storage systems. The multiple different simulated energy storage systems are different energy storage systems that are simulated to be set up for the electricity consumption area in the historical period. The number of energy storage devices included in the different simulated energy storage systems is different. The simulation state includes charging simulation state, discharging simulation state and standby simulation state. The second determining module is used to determine, based on the simulation state, the rated battery capacity and rated power of a single energy storage device in each of the simulated energy storage systems, the number of energy storage devices included in each of the simulated energy storage systems, and the historical electricity load data sequence, a plurality of total simulated discharge quantities corresponding to the plurality of simulated energy storage systems within the historical period. The total simulated discharge quantity corresponding to the i-th simulated energy storage system within the plurality of simulated energy storage systems is determined by the following steps: if the simulation state of the i-th simulated energy storage system in the t-th historical sub-period is the charging simulation state, then based on the electricity billing method of the electricity consumption area, the rated battery capacity of the single energy storage device, the number of energy storage devices included in the i-th simulated energy storage system, the duration of the t-th historical sub-period, and the remaining available battery capacity of the i-th simulated energy storage system in the t-th historical sub-period, the simulated charging amount of the i-th simulated energy storage system within the t-th historical sub-period is determined. And through the formula Update the available power of the i-th simulated energy storage system ,in, In the first The available power of the i-th simulated energy storage system updated within each historical sub-period, if t is 1, then The value is zero, and t is a positive integer; if the simulated state of the i-th simulated energy storage system in the t-th historical sub-period is the discharge simulation state, then based on the available power of the i-th simulated energy storage system in the t-th historical sub-period, the rated power of the single energy storage device, the number of energy storage devices included in the i-th simulated energy storage system, the duration of the t-th historical sub-period, and the power load data corresponding to the t-th historical sub-period, the simulated discharge power of the i-th simulated energy storage system in the t-th historical sub-period is determined. And through the formula Update the available power of the i-th simulated energy storage system If the simulated state of the i-th simulated energy storage system in the t-th historical sub-period is the standby simulated state, then the available power of the i-th simulated energy storage system in the t-th historical sub-period is determined. for ; Determine the sum of the simulated discharge capacity of the i-th simulated energy storage system when the i-th simulated energy storage system is in the discharge simulation state in the plurality of historical sub-periods, and obtain the total simulated discharge capacity corresponding to the i-th simulated energy storage system; The third determining module is used to determine multiple cycle numbers based on the multiple total simulated discharge amounts. In the historical period, a cycle is defined as the simulated energy storage system discharging from a fully charged state to a cutoff state and then recharging to a fully charged state. The multiple total simulated discharge amounts correspond one-to-one with the multiple cycle numbers. The fourth determining module is used to determine the first cycle number that is closest to the target cycle number among the plurality of cycle numbers, determine the first total simulated discharge amount corresponding to the first cycle number from the plurality of total simulated discharge amounts, and determine the target simulated energy storage system corresponding to the first total simulated discharge amount from the plurality of simulated energy storage systems; The fifth determining module is used to determine the formula. Calculate the installed capacity of the energy storage system. ,in, The target simulated energy storage system includes the number of energy storage devices. The rated battery capacity of each of the energy storage devices.

8. A device for determining the installed capacity of an energy storage system, comprising a memory, a processor, and a computer program stored in the memory, characterized in that, The processor executes the computer program to implement the method for determining the installed capacity of the energy storage system according to any one of claims 1 to 6.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that, When executed by a processor, the computer program implements the method for determining the installed capacity of an energy storage system as described in any one of claims 1 to 6.

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