Distribution and storage capacity measuring and calculating method and device, electronic equipment and storage medium

Abstract

The invention provides a distribution and storage capacity measuring and calculating method and device, electronic equipment and a storage medium, and relates to the technical field of energy storage. The method comprises the steps of determining a charging and discharging strategy for an energy storage system to be distributed according to acquired location information of a project corresponding to the energy storage system to be distributed and stored and a preset database; and determining the optimal energy storage capacity of the to-be-distributed energy storage system based on a preset measurement and calculation model according to the charging and discharging strategy and the obtained power supply information and power utilization information of the project. According to the invention, based on project location information, applicable electricity price peak and valley time period information and corresponding charging and discharging strategy information are determined from a preset database; and according to the charging and discharging strategy and the power supply information and the power utilization information of the project, the actual power supply and power utilization requirements of the project are comprehensively analyzed by utilizing a preset measurement and calculation model, and the optimal energy storage capacity of the energy storage system to be distributed and stored in the corresponding project is determined, so that the economic benefit and the use benefit of the energy storage system are maximized.

Description

Technical Field

[0001] The present invention relates to the field of energy storage technology, and in particular to a method, device, electronic equipment and storage medium for calculating storage capacity. Background Art

[0002] With the rapid development of the new energy industry, the willingness of industrial and commercial users to invest in energy storage has gradually increased. The development of industrial and commercial energy storage can, on the one hand, provide enterprises with backup power supply to ensure stable production; on the other hand, based on the peak-valley price arbitrage of electricity prices, it can reduce costs and increase efficiency, thereby increasing economic benefits.

[0003] However, due to factors such as different peak and valley time-of-use electricity prices in different regions and different electricity consumption characteristics of different enterprises, it has become a difficult problem for different enterprises to determine the appropriate industrial and commercial energy storage installed capacity. The energy storage installed capacity directly affects the economic benefits and return on investment of users. If the installed capacity is too large, the utilization efficiency of energy storage equipment will be low, resulting in waste of resources; if the installed capacity is insufficient, the energy-saving potential cannot be fully tapped, resulting in ineffective storage allocation and affecting benefits. Summary of the invention

[0004] The problem solved by the present invention is: how to determine the optimal energy storage capacity suitable for a corresponding project.

[0005] In order to solve the above problems, the present invention provides a storage capacity calculation method, device, electronic device and storage medium.

[0006] In a first aspect, the present invention provides a method for calculating storage capacity, comprising:

[0007] Determine the charging and discharging strategy for the energy storage system to be allocated based on the acquired location information of the project corresponding to the energy storage system to be allocated and the preset database; wherein the preset database includes the peak and valley time period information of electricity prices in different regions and the charging and discharging strategy information determined based on the peak and valley time period information of electricity prices;

[0008] According to the charging and discharging strategy and the acquired power supply information and power consumption information of the project, based on a preset calculation model, the optimal energy storage capacity of the energy storage system to be stored is determined.

[0009] Optionally, before determining the charging and discharging strategy for the energy storage system to be allocated based on the acquired location information of the project corresponding to the energy storage system to be allocated and a preset database, the allocation storage capacity calculation method further includes:

[0010] Count the peak and valley periods of electricity prices in different regions every month;

[0011] Formulate the charging and discharging strategies for different regions according to the peak and valley periods of electricity prices;

[0012] The preset database including peak and valley period information of electricity prices in different regions and corresponding charging and discharging strategy information is constructed.

[0013] Optionally, when the project is powered by a power grid, the power supply information includes a power supply billing mode of the power grid, the power supply billing mode includes a capacity billing mode and a demand billing mode, the power consumption information includes operating parameters of a transformer used for the project and historical power load data of the project; the preset calculation model includes a first capacity calculation model and a first demand calculation model;

[0014] The step of determining the optimal energy storage capacity of the energy storage system to be allocated based on the charging and discharging strategy and the acquired power supply information and power consumption information of the project and a preset calculation model comprises:

[0015] When the project is powered by the power grid and the power supply billing mode is the capacity billing mode, the first capacity calculation model is used to determine the optimal energy storage capacity of the energy storage system to be allocated based on the operating parameters of the transformer, the historical power load data and the charging and discharging strategy;

[0016] When the project is powered by the power grid and the power supply billing mode is the demand billing mode, the first demand measurement model is used to determine the optimal energy storage capacity of the energy storage system to be stored based on the historical power load data and the charging and discharging strategy.

[0017] Optionally, the operating parameters of the transformer include transformer capacity and transformer coefficient, the charging and discharging strategy includes a daily charging time period and a discharging time period, and the historical power load data includes a first average power load of the project in the charging time period and a second average power load in the discharging time period;

[0018] The adopting of the first capacity calculation model to determine the optimal energy storage capacity of the energy storage system to be allocated based on the operating parameters of the transformer, the historical power load data and the charging and discharging strategy includes:

[0019] The first capacity calculation model is adopted to determine the first charging requirement capacity of each charging time period and the first discharging requirement capacity of each discharging time period every day within a first preset period based on the charging time period, the discharging time period, the transformer capacity, the transformer coefficient, the first average power load and the second average power load, and the smallest of all the first charging capacity requirements and the first discharging capacity requirements within the first preset period is taken as the optimal energy storage capacity.

[0020] Optionally, the charging and discharging strategy includes a daily charging time period and a discharging time period; the historical power load data includes a first average power consumption peak value of the project in the charging time period and a second average power consumption peak value in the discharging time period, and a maximum demand value of the project per month in a second preset period;

[0021] When the project is powered by the power grid and the power supply billing mode is the demand billing mode, the first demand measurement model is used to determine the optimal energy storage capacity of the energy storage system to be allocated based on the historical power load data and the charging and discharging strategy, including:

[0022] When the project is powered by the power grid, the power supply billing mode is the demand billing mode, and the maximum demand value and the charging and discharging strategy meet the preset demand billing conditions, the first demand calculation model is used to determine the second charging demand capacity of each charging time period every day and the second discharging demand capacity of each discharging time period within the second preset period based on the charging time period, the discharging time period, the first average power consumption peak, the second average power consumption peak and the maximum demand value, and the smallest of all the second charging capacity demands and the second discharging capacity demands within the second preset period is taken as the optimal energy storage capacity.

[0023] Optionally, when the project is powered by a power grid and a new energy power supply device, the power supply information includes a power supply billing mode of the power grid and operating parameters of the new energy power supply device, and the power supply billing mode includes a capacity billing mode and a demand billing mode; the power consumption information includes operating parameters of a transformer used for the project and historical power load data of the project; the preset calculation model includes a second capacity calculation model and a second demand calculation model;

[0024] The step of determining the optimal energy storage capacity of the energy storage system to be allocated based on the charging and discharging strategy and the acquired power supply information and power consumption information of the project and a preset calculation model comprises:

[0025] When the project is powered by the power grid and the new energy power supply equipment, and the power supply billing mode is the capacity billing mode, the second capacity calculation model is used to determine the optimal energy storage capacity of the energy storage system to be stored based on the operating parameters of the new energy power supply equipment, the operating parameters of the transformer, the historical power load data and the charging and discharging strategy;

[0026] When the project is powered by the power grid and the new energy power supply equipment, and the power supply billing mode is the demand billing mode, the second demand measurement model is used to determine the optimal energy storage capacity of the energy storage system to be stored based on the operating parameters of the new energy power supply equipment, the operating parameters of the transformer, the historical power load data and the charging and discharging strategy.

[0027] Optionally, the operating parameters of the transformer include transformer capacity and transformer coefficient, and the charging and discharging strategy includes a daily charging time period and a discharging time period; the operating parameters of the new energy power supply equipment include the installed capacity of the new energy power supply equipment, and the first output time proportion of the new energy power supply equipment in the charging time period and the second output time proportion in the discharging time period; the historical power load data includes the first average power load of the project in the charging time period and the second average power load in the discharging time period;

[0028] The adopting of the second capacity calculation model to determine the optimal energy storage capacity of the energy storage system to be allocated based on the operating parameters of the new energy power supply equipment, the operating parameters of the transformer, the historical power load data and the charging and discharging strategy includes:

[0029] The second capacity calculation model is adopted to determine the fifth charging demand capacity of each charging time period and the fifth discharging demand capacity of each discharging time period every day within a third preset period based on the charging time period, the discharging time period, the transformer capacity, the transformer coefficient, the installed capacity, the first output time proportion, the second output time proportion, the first average power load and the second average power load, and the smallest of all the fifth charging capacity requirements and the fifth discharging capacity requirements within the third preset period is taken as the optimal energy storage capacity.

[0030] Optionally, the operating parameters of the transformer include transformer capacity and transformer coefficient, and the charging and discharging strategy includes a daily charging time period and a discharging time period; the operating parameters of the new energy power supply equipment include the installed capacity of the new energy power supply equipment, and the first output time proportion of the new energy power supply equipment in the charging time period and the second output time proportion in the discharging time period; the historical power load data includes the first average power consumption peak value of the project in the charging time period and the second average power consumption peak value in the discharging time period, and the maximum demand value of the project per month in the second preset period;

[0031] When the project is powered by the power grid and the new energy power supply equipment, and the power supply billing mode is the demand billing mode, the second demand measurement model is used to determine the optimal energy storage capacity of the energy storage system to be stored based on the operating parameters of the new energy power supply equipment, the operating parameters of the transformer, the historical power load data and the charging and discharging strategy, including:

[0032] When the project is powered by the power grid and the new energy power supply equipment, the power supply billing mode is the demand billing mode, and the maximum demand value and the charging and discharging strategy meet the preset demand billing conditions, the second demand calculation model is adopted to determine the sixth charging demand capacity of each charging time period every day and the sixth discharging demand capacity of each discharging time period within the fourth preset period based on the charging time period, the discharging time period, the transformer capacity, the transformer coefficient, the installed capacity, the first output time proportion, the second output time proportion, the first average power consumption peak and the second average power consumption peak, and take the smallest of all the sixth charging capacity requirements and the sixth discharging capacity requirements within the fourth preset period as the optimal energy storage capacity.

[0033] Optionally, the preset demand billing condition includes: within a corresponding preset period, the ratio of the number of months in which the maximum demand value appears in the discharge time period to the total number of months in the preset period is greater than a preset threshold.

[0034] Optionally, after determining the charging and discharging strategy for the energy storage system to be allocated, and before determining the optimal energy storage capacity of the energy storage system to be allocated based on the charging and discharging strategy and the acquired power supply information and power consumption information of the project based on a preset calculation model, the allocation storage capacity calculation method further includes:

[0035] Preprocessing the original power consumption information of the project according to the original power consumption information obtained to obtain the power consumption information;

[0036] The step of preprocessing the original power usage information of the project to obtain the power usage information includes:

[0037] Determine the median of all original historical power load data of the project that have been obtained within the corresponding preset period, and select the original historical power load data whose deviation ratio relative to the median is less than or equal to the preset ratio as the power consumption information; wherein the deviation ratio is the absolute value of the difference between the original historical power load data and the median, divided by the quotient of the median.

[0038] In a second aspect, the present invention provides a storage capacity calculation device, comprising:

[0039] A charging and discharging strategy determination unit, used to determine the charging and discharging strategy for the energy storage system to be allocated based on the acquired location information of the corresponding project of the energy storage system to be allocated and a preset database; wherein the preset database includes peak and valley time period information of electricity prices in different regions and charging and discharging strategy information determined based on the peak and valley time period information of electricity prices;

[0040] The storage capacity calculation unit is used to determine the optimal energy storage capacity of the energy storage system to be stored according to the charging and discharging strategy and the power supply information and power consumption information of the project that have been acquired, based on a preset calculation model.

[0041] In a third aspect, the present invention provides an electronic device, including a memory and a processor;

[0042] The memory is used to store computer programs;

[0043] The processor is used to implement the storage capacity calculation method as described in the first aspect when executing the computer program.

[0044] In a fourth aspect, the present invention provides a computer-readable storage medium storing a computer program. When the computer program is read and executed by a processor, the method for calculating the storage capacity as described in the first aspect is implemented.

[0045] Compared with the prior art, the present invention has the following beneficial effects: the present invention can be used to configure the optimal energy storage capacity for corresponding industrial and commercial projects with electricity demand, so as to provide guidance for the configuration of energy storage systems for industrial and commercial projects and maximize the benefits of energy storage investment. Specifically, based on the project location information, the applicable peak and valley period information of electricity prices and the corresponding charging and discharging strategy information are determined from the preset database; and according to the charging and discharging strategy and the power supply information and power consumption information of the project, the preset measurement model is used to comprehensively analyze the actual power supply and power consumption demand of the project, determine the optimal energy storage capacity of the energy storage system to be allocated in the corresponding project, and maximize the economic benefits and use benefits of the energy storage system. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] Figure 1 A schematic diagram of a flow chart of a method for calculating storage capacity in an embodiment of the present invention;

[0047] Figure 2 A schematic diagram of a flow chart of a method for calculating storage capacity in an embodiment of the present invention;

[0048] Figure 3 It is a structural block diagram of a storage capacity calculation device in an embodiment of the present invention;

[0049] Figure 4 FIG. 4 is a schematic diagram of the structure of an electronic device in an embodiment of the present invention. DETAILED DESCRIPTION

[0050] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, specific embodiments of the present invention are described in detail below with reference to the accompanying drawings.

[0051] It should be noted that the terms "first", "second", etc. in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the numbers used in this way can be interchanged where appropriate, so that the embodiments of the present invention described herein can be implemented in an order other than those illustrated or described herein.

[0052] Combination Figure 1 As shown, an embodiment of the present invention provides a method for calculating storage capacity, including:

[0053] Step 200: Determine a charging and discharging strategy for the energy storage system to be deployed based on the acquired location information of the project corresponding to the energy storage system to be deployed and a preset database; wherein the preset database includes peak and valley period information of electricity prices in different regions and charging and discharging strategy information determined based on the peak and valley period information of electricity prices.

[0054] Specifically, the method of this embodiment can be used to configure energy storage for corresponding industrial and commercial projects with electricity demand (such as manufacturing plants, data centers, and other commercial and industrial sites or projects with stable electricity demand), determine the optimal energy storage capacity, provide guidance for the configuration of energy storage systems for industrial and commercial projects, maximize the benefits of energy storage investment, and ensure that the energy storage system achieves a balance between economic benefits and usage benefits.

[0055] In step 200, considering that the electricity price directly affects the benefits of the energy storage system, and the electricity price and the peak and valley time periods of electricity price in different regions may be different, and based on different peak and valley time periods of electricity price, it is necessary to formulate different charging and discharging strategies for the energy storage system that are adapted to the corresponding peak and valley time periods of electricity price (i.e., the daily charging time period and discharging time period) in order to improve the overall benefits of the energy storage system. To this end, when calculating the optimal energy storage capacity of the energy storage system to be allocated, it is necessary to determine the electricity price peak and valley time period information and the charging and discharging strategy information corresponding to the location information of the corresponding project of the energy storage system to be allocated from the preset database (referred to as the preset database) including the electricity price peak and valley time period information of different regions and the charging and discharging strategy information determined based on the electricity price peak and valley time period information, so as to ensure that the method of this embodiment is based on the actual situation of the corresponding project of the energy storage system to be allocated, realize the customization and personalization of the allocation storage capacity calculation, and provide an accurate and reliable configuration basis for the energy storage system to be allocated.

[0056] Step 300: According to the charging and discharging strategy and the acquired power supply information and power consumption information of the project, based on a preset calculation model, determine the optimal energy storage capacity of the energy storage system to be allocated.

[0057] Specifically, in step 300, when calculating the optimal energy storage capacity of the energy storage system to be equipped, a calculation model (referred to as a preset calculation model) pre-designed based on the actual situation of the project is used to comprehensively analyze the actual power supply and power demand of the project according to the acquired power supply information of the project (such as the billing mode of the power supply price, the peak-valley electricity price, etc.) and power consumption information (such as the power load characteristics of the project, the peak-valley power demand, etc.), so as to combine the power supply peak-valley difference with the project load demand fluctuation, and accurately simulate the energy storage capacity demand under different conditions, so as to finally determine the optimal energy storage capacity of the energy storage system to be equipped in the corresponding project, so as to maximize the economic benefits (such as reducing electricity costs) and use benefits (such as optimizing peak-valley power utilization) of the energy storage system on the basis of meeting the project needs.

[0058] In this way, the method of this embodiment can be used to configure the optimal energy storage capacity for the corresponding industrial and commercial projects with electricity demand, so as to provide guidance for the configuration of energy storage systems for industrial and commercial projects and maximize the benefits of energy storage investment. Specifically, based on the project location information, the applicable peak and valley period information of electricity prices and the corresponding charging and discharging strategy information are determined from the preset database; and according to the charging and discharging strategy and the power supply information and power consumption information of the project, the preset measurement model is used to comprehensively analyze the actual power supply and power consumption demand of the project, determine the optimal energy storage capacity of the energy storage system to be allocated in the corresponding project, and maximize the economic benefits and use benefits of the energy storage system.

[0059] Optionally, combined Figure 1 , Figure 2 As shown, before step 200, the storage capacity calculation method further includes:

[0060] Step 110: Count the peak and valley periods of electricity prices in different regions every month.

[0061] Specifically, since the peak and valley periods of electricity prices vary according to seasons and regions, by making detailed statistics on the peak and valley periods of electricity prices in different regions every month, it is possible to accurately reflect the fluctuations in electricity prices at different times in different regions, and provide an accurate data basis for the formulation of subsequent charging and discharging strategies, so that the formulated charging and discharging strategies are more adaptable and correspond to the actual conditions of various regions. In some embodiments, the division of different regions can be based on provincial, municipal or county-level administrative regions, etc.

[0062] Step 120: formulate charging and discharging strategies for different regions according to the peak and valley periods of electricity prices.

[0063] Specifically, according to the statistical peak and valley periods of electricity prices in different regions each month, a charging and discharging strategy adapted thereto (i.e., the daily charging and discharging time periods) is pre-formulated. On the one hand, the difference in peak and valley electricity prices is effectively utilized to reduce the electricity cost of the energy storage system to be allocated when adopting the corresponding charging and discharging strategy, and to improve the return on investment of energy storage; on the other hand, it is convenient for the energy storage system to be allocated to directly match the corresponding pre-formulated charging and discharging strategy according to the location information of the project, thereby improving the efficiency of the allocation and storage capacity calculation. Exemplarily, the charging and discharging strategy includes one charge and one discharge, two charges and two discharges, or three charges and three discharges (which are, in chronological order, the first charge, the first discharge, the second charge, the second discharge, the third charge, and the third discharge), etc., which are specifically set according to the peak and valley periods of electricity prices. For example, the number of peak and valley periods of electricity prices in a certain area in one day is both 2, so it can be seen that the area is suitable for a two-charge and two-discharge charging and discharging strategy; among which, generally, discharge is performed during the peak electricity price period, charge is performed during the valley electricity price period, and no charging and discharging is performed during the flat electricity price period. In addition, the charging and discharging strategies in the corresponding regions can be updated accordingly according to changes in peak and valley periods of electricity prices.

[0064] Step 130: construct a preset database including peak and valley period information of electricity prices in different regions and corresponding charging and discharging strategy information.

[0065] Specifically, the statistical information on the peak and valley periods of electricity prices in different regions each month is integrated with the corresponding charging and discharging strategies to build a database (referred to as the preset database) for query. In this way, when configuring energy storage, the charging and discharging strategies can be quickly found and matched, thereby improving the efficiency and accuracy of the storage capacity calculation process. In some embodiments, the preset database includes the correspondence between the region and the information on the peak and valley periods of electricity prices and the information on the charging and discharging strategies, so that by inputting the project location information, the corresponding information on the peak and valley periods of electricity prices and the charging and discharging strategies can be quickly found.

[0066] Optionally, considering that the peak and valley periods and electricity prices in different regions may change according to the information released monthly by the local power grid, the different peak and valley periods in different regions will greatly affect the calculation of the storage capacity. If the peak and valley periods are adjusted on a monthly basis, the peak and valley periods of each day in the same month are consistent, and the meter data is based on one point every 15 minutes, then in step 110, the peak and valley periods of each month can be split into 96 (i.e., 4*24) points (corresponding to 24 hours a day) to count the peak and valley periods of each month in different regions.

[0067] Optionally, when the project is powered by the power grid, the power supply information includes the power supply billing mode of the power grid, the power supply billing mode includes the capacity billing mode and the demand billing mode, the power consumption information includes the operating parameters of the transformer used for the project and the historical power load data of the project; the preset measurement model includes a first capacity measurement model and a first demand measurement model.

[0068] Specifically, the project is powered by the power grid, and the corresponding power supply information includes power supply billing modes such as capacity billing mode and demand billing mode. Among them, the capacity billing mode is based on transformer capacity or fixed capacity charging, and the demand billing mode is based on the actual maximum demand of the project (that is, the maximum value / maximum demand value recorded in a specified period or settlement period, where demand refers to the average value of power within a specified time interval). Power consumption information includes the operating parameters of the transformer used for the project and the historical power load data of the project. These data reflect the actual power consumption characteristics of the project and provide reliable input parameters for subsequent calculations, thereby improving the accuracy of the distribution and storage capacity calculation; among them, the power supply of the project is realized through a transformer connected to the power grid. The preset calculation models include a first capacity calculation model and a first demand calculation model. The first capacity calculation model is used to calculate the storage capacity under the capacity billing mode, and the first demand calculation model is used to calculate the storage capacity under the demand billing mode. By distinguishing different billing modes and using calculation models corresponding to different billing modes to calculate the storage capacity, it can effectively adapt to the electricity billing rules of different projects or regions, thereby better meeting the needs of actual projects.

[0069] Step 300 includes:

[0070] When the project is powered by the grid and the power supply billing mode is the capacity billing mode, the first capacity calculation model is used to determine the optimal energy storage capacity of the energy storage system to be deployed based on the operating parameters of the transformer, historical power load data and charging and discharging strategies;

[0071] When the project is powered by the grid and the power supply billing mode is the demand billing mode, the first demand measurement model is used to determine the optimal energy storage capacity of the energy storage system to be deployed based on historical power load data and charging and discharging strategies.

[0072] Specifically, if the power supply billing mode adopted by the project is the capacity billing mode, the first capacity calculation model is used to determine the optimal energy storage capacity of the energy storage system to be allocated based on the historical power load data of the project and the operating parameters of the transformer used to power the project, combined with the corresponding charging and discharging strategy of the project area; and if the power supply billing mode adopted by the project is the demand billing mode, the first demand calculation model is used to determine the optimal energy storage capacity of the energy storage system to be allocated based on the historical power load data of the project, combined with the corresponding charging and discharging strategy of the project area. In this way, the optimal energy storage capacity determined by the corresponding calculation model combines the historical power load data of the project, the operating parameters of the transformer and the charging and discharging strategy of the corresponding area, which not only ensures that the configuration of the energy storage system is accurately matched with the actual needs of the project, but also effectively improves the utilization rate of the energy storage system, avoids equipment idleness and investment waste due to excessive configuration, and prevents the optimization effect of electricity cost due to insufficient capacity, which can effectively improve the return on investment, cope with the impact of electricity price fluctuations, and ensure the long-term stability and safety of the energy storage system, thereby achieving higher economic benefits.

[0073] Optionally, the operating parameters of the transformer include transformer capacity and transformer coefficient, the charging and discharging strategy includes a daily charging time period and a discharging time period, and the historical power load data includes a first average power load of the project in the charging time period and a second average power load in the discharging time period;

[0074] The first capacity calculation model is used to determine the optimal energy storage capacity of the energy storage system to be deployed based on the operating parameters of the transformer, historical power load data and charging and discharging strategies, including:

[0075] A first capacity calculation model is adopted to determine the first charging demand capacity of each charging time period every day and the first discharging demand capacity of each discharging time period within a first preset period based on the charging time period, the discharging time period, the transformer capacity, the transformer coefficient, the first average power load and the second average power load, and the smallest of all the first charging capacity demands and the first discharging capacity demands within the first preset period is taken as the optimal energy storage capacity.

[0076] Specifically, when the project is powered by the power grid and the power supply billing mode is the capacity billing mode, the transformer capacity and transformer coefficient of the transformer used to power the project are introduced to realize the storage capacity calculation based on power supply safety. Among them, the transformer capacity is the maximum power load that the transformer can stably transmit under rated conditions, which determines how much space the project has for energy storage operation. In other words, the transformer capacity limits the overall power capacity of the project and the energy storage system to be allocated, ensuring that the power carrying capacity of the transformer will not be exceeded when configuring the energy storage capacity, thereby avoiding the risk of overload. The transformer coefficient is used to correct the power load situation. It is an adjustment parameter for the carrying capacity of the transformer in the actual operating environment. The maximum adjustable coefficient of this transformer can be defined based on external factors such as the working life of the transformer. For example, the transformer coefficient may be higher when the transformer equipment is newer and in better condition, and as the transformer equipment age increases and the condition ages, the coefficient will be appropriately reduced to reflect the load adjustment capacity of the transformer; by introducing the transformer coefficient, the first capacity calculation model can be more flexibly adapted to the actual load capacity of the transformer under different operating conditions, thereby further ensuring the safety and stability of power supply. Moreover, by introducing the charging time period, the discharging time period, and the average power load of the charging time period and the discharging time period (the average power load of the project in the charging time period is recorded as the first average power load, and the average power load in the discharging time period is recorded as the second average power load), it is helpful to accurately calculate the actual demand of each time period, so as to determine the electric energy capacity suitable for storage in the charging time period when meeting the power consumption of the project (recorded as the first charging demand capacity), and determine the electric energy capacity required to meet the power consumption of the project in the discharging time period (recorded as the first discharging demand capacity). The smallest one of all the first charging demand capacity and the first discharging demand capacity within the determined first preset period is taken as the optimal energy storage capacity, so as to ensure that the energy storage equipment to be equipped can be fully charged and discharged as much as possible after being configured on the project, so as to maximize the benefits.

[0077] Moreover, considering that the peak and valley periods of electricity prices and charging and discharging strategies may be different in different regions and at different times, the determination of the first charging capacity demand and the first discharging capacity demand for projects in the same region needs to take into account the changes caused by time changes. Therefore, the first charging capacity demand and the first discharging capacity demand used to determine the optimal energy storage capacity come from the first charging capacity demand of each charging time period and the first discharging capacity demand of each discharging time period in the first preset cycle. By setting the first preset cycle to cover the fluctuation of electricity load and electricity price in a period of time, the peak, valley and electricity demand changes in the cycle are comprehensively considered, so that the calculated energy storage capacity is closer to the actual demand, which can avoid the deviation that may be generated on the basis of a single day's data, and further improve the rationality and accuracy of the calculation. Moreover, in the first preset cycle, the demand of each charging and discharging time period can be combined with the demand of each day, and the optimal energy storage configuration scheme can be selected by comparing the demand of each day (that is, the smallest of the first charging capacity demand of each charging time period and the first discharging capacity demand of each discharging time period in the first preset cycle is taken as the optimal energy storage capacity), so that the energy storage system is closer to the full charging and discharging working state, avoiding idleness or overload, and improving the utilization rate and return on investment of energy storage equipment. Exemplarily, the first preset period can be set according to actual needs, such as being set to a certain number of days, a certain month or a year.

[0078] Optionally, the first capacity calculation model includes:

[0079] The first charging demand capacity D1=f1(S*A-p1);

[0080] The first discharge required capacity D2 = f2*p2;

[0081] Optimal energy storage capacity Y (kwh) = min [D1, D2];

[0082] Among them, S is the transformer capacity of the transformer used to power the project, and A is the transformer coefficient of the transformer; after the energy storage device to be equipped is configured on the project, the transformer is used to power the project and the energy storage device. f1 is the duration of the daily charging time period obtained according to the charging and discharging strategy. When there are multiple daily charging time periods, f1 represents the duration of each charging time period. That is to say, for a day with multiple charging time periods, multiple f1s and corresponding multiple D1s can be obtained; f2 is the duration of the daily discharge time period obtained according to the charging and discharging strategy. When there are multiple daily discharge time periods, f2 represents the duration of each discharge time period. That is to say, for a day with multiple discharge time periods, multiple f2s and corresponding multiple D2s can be obtained. p1 represents the first average power load of the project in the charging time period corresponding to f1, and p2 represents the second average power load of the project in the discharge time period corresponding to f2; the optimal energy storage capacity Y (kwh) takes the smallest one of all D1s and D2s in the first preset period.

[0083] Optionally, the first capacity calculation model is used to determine the optimal energy storage capacity of the energy storage system to be allocated based on the operating parameters of the transformer, historical power load data and charging and discharging strategies, including:

[0084] Determine the charge and discharge rates for the energy storage system to be deployed.

[0085] Specifically, the charge and discharge rate for the energy storage system to be deployed is determined. The charge and discharge rate refers to the rate at which the energy storage system to be deployed can be charged and discharged in a unit time. It can be set according to the needs of the project and the power consumption mode, etc., to ensure that the energy storage system to be deployed can quickly respond to different power consumption needs. For example, the charge and discharge rate c is 1C, 0.5C, 0.33C, 0.25C, etc.

[0086] A first capacity calculation model is adopted to determine the third charging requirement capacity of each charging time period every day and the third discharge requirement capacity of each discharge time period within a first preset period based on the transformer capacity, transformer coefficient, the first average power load, the second average power load and the charge and discharge rate, and the optimal energy storage capacity is determined according to the smallest of the third charging capacity requirement and the third discharge requirement capacity.

[0087] Exemplarily, the first capacity calculation model includes:

[0088] The third charging required capacity X1=f1(S*A-p1) / c=D1 / c;

[0089] The third required discharge capacity X2 = f2*p2 / c = D2 / c;

[0090] Optimal energy storage capacity Y (kwh) = min [X1, X2] * c;

[0091] Among them, S is the transformer capacity of the transformer used to power the project, A is the transformer coefficient of the transformer; f1 is the duration of the daily charging time period obtained according to the charging and discharging strategy, f2 is the duration of the daily discharging time period obtained according to the charging and discharging strategy, p1 represents the first average power load of the project in the charging time period corresponding to f1, p2 represents the second average power load of the project in the discharging time period corresponding to f2, and the optimal energy storage capacity Y (kwh) is the product of the smallest one of all X1 and X2 in the first preset period and c.

[0092] In this way, the charge and discharge rate c is introduced when calculating the optimal energy storage capacity so as to reflect the actual capacity and efficiency of the energy storage system to be equipped during the charging and discharging process.

[0093] For ease of understanding, the following is an example of a two-charge and two-discharge charging and discharging strategy, that is, the first charge, the first discharge, the second charge, and the second discharge are performed in sequence within one day. For this, there are:

[0094] The third required charging capacity of the first charge is X1=f1(S*A-p1) / c;

[0095] The third discharge required capacity of the first discharge is X2=f2*p2 / c;

[0096] The third required charging capacity of the second charging is X1=f1(S*A-p1) / c;

[0097] The third discharge required capacity of the second discharge is X2=f2*p2 / c;

[0098] Optimal energy storage capacity Y (kwh) = min [X1, X2] * c;

[0099] Among them, considering that the duration of different charging time periods and the average power load of corresponding projects may be different, and the duration of different discharging time periods and the average power load of corresponding projects may be different, the above expression can be converted into the following expression:

[0100] The third required charging capacity of the first charge is X1=f1(S*A-p1) / c;

[0101] The third discharge required capacity of the first discharge is X2=f2*p2 / c;

[0102] The third required charging capacity of the second charging is X3=f3(S*A-p3) / c;

[0103] The third discharge required capacity of the second discharge is X4=f4*p4 / c;

[0104] Optimal energy storage capacity Y (kwh) = min [X1, X2, X3, X4] * c;

[0105] Among them, f1 is the length of the charging time period of the first charging, f2 is the length of the discharging time period of the first discharging, f3 is the length of the charging time period of the second charging, and f4 is the length of the discharging time period of the second discharging; p1 represents the first average power load of the project in the charging time period corresponding to f1, p2 represents the second average power load of the project in the discharging time period corresponding to f2, p3 represents the first average power load of the project in the charging time period corresponding to f3, and p4 represents the second average power load of the project in the discharging time period corresponding to f4; the optimal energy storage capacity Y (kwh) is the product of the smallest one of all X1, X2, X3, and X4 in the first preset period and c.

[0106] Optionally, the charging and discharging strategy includes a daily charging time period and a discharging time period; the historical power load data includes a first average power consumption peak value of the project in the charging time period and a second average power consumption peak value in the discharging time period, and a maximum demand value of the project per month in a second preset period;

[0107] When the project is powered by the grid and the power supply billing mode is the demand billing mode, the first demand measurement model is used to determine the optimal energy storage capacity of the energy storage system to be deployed based on historical power load data and charging and discharging strategies, including:

[0108] When the project is powered by the power grid, the power supply billing mode is the demand billing mode, and the maximum demand value and the charging and discharging strategy meet the preset demand billing conditions, the first demand measurement model is adopted to determine the second charging demand capacity of each charging time period every day and the second discharging demand capacity of each discharging time period within the second preset period based on the charging time period, the discharging time period, the first average power consumption peak, the second average power consumption peak and the maximum demand value, and take the smallest of all the second charging capacity demands and second discharging demand capacities within the second preset period as the optimal energy storage capacity.

[0109] When the project is powered by the power grid and the power supply billing mode adopted by the project is the demand billing mode, the configuration of the energy storage system needs to consider whether the project is suitable for storage, that is, to determine whether the maximum demand value and the charging and discharging strategy meet the preset demand billing conditions. Specifically, according to the maximum demand value (i.e., maximum power consumption value) of the project every month in the second preset period, if the maximum demand value (maximum power consumption value) of most months in the second preset period appears in the charging time period shown in the charging and discharging strategy, it indicates that the project cannot be effectively charged through the energy storage system during peak power consumption, and the project is considered to be unsuitable for storage; on the contrary, if the maximum demand value of each month in the second preset period appears mostly in the discharging time period, it means that the energy storage system can effectively reduce the demand pressure, and the configuration of the energy storage system will be beneficial and suitable for storage. Through such an evaluation, the economy and effectiveness of the energy storage system configuration can be ensured. Among them, the second preset period can be set according to actual needs, such as one year (twelve months). Exemplarily, the second preset period is twelve months, and it is determined whether the maximum electricity consumption value of each month in the past 12 months is within the charging time period of the project (which is determined by the charging and discharging strategy). If more than half of the months in the past data are within this time period, it indicates that the project has a high electricity consumption during the charging time period, and the electricity consumption characteristics of the project do not match the peak-valley model of the region, and economic benefits cannot be generated through peak-valley arbitrage, then the project is considered not suitable for storage.

[0110] When it is determined that the maximum demand value and the charging and discharging strategy meet the preset demand billing conditions, it is believed that the project can generate economic benefits by carrying out storage. In this case, the first demand measurement model can be used to determine the second charging demand capacity of each charging time period and the second discharging demand capacity of each discharging time period every day within the second preset period based on the charging time period, discharging time period, average power consumption peak (the average power consumption peak of the project during the charging time period is recorded as the first average power consumption peak, and the average power consumption peak during the discharging time period is recorded as the second average power consumption peak) and the maximum demand value. The smallest of all the second charging capacity demands and second discharging capacity demands within the second preset period is taken as the optimal energy storage capacity, so that the energy storage system is closer to a fully charged and discharged working state, avoiding idle or overloaded conditions, and improving the utilization rate and return on investment of the energy storage equipment. Among them, the average peak power consumption provides a benchmark, indicating the typical load level of the project during the charging and discharging time period, while the maximum demand value represents the power demand limit of the project within a specific time period. By introducing the average peak power consumption and the maximum demand value, combined with the charging time period and the discharging time period, the first demand measurement model can more comprehensively reflect the power consumption characteristics and demand fluctuations of the project in different time periods, making the energy storage system configuration more accurate, thereby ensuring that the project can effectively cope with peak loads while maximizing the economic return and utilization efficiency of the energy storage system, while reducing electricity costs, improving the efficiency of power resource utilization and promoting sustainable development.

[0111] Optionally, the first demand measurement model includes:

[0112] The second charging required capacity D1=f1(G-Q1);

[0113] The second required discharge capacity D2 = f2*Q2;

[0114] Optimal energy storage capacity Y (kwh) = min [D1, D2];

[0115] Among them, f1 is the duration of the daily charging time period obtained according to the charging and discharging strategy. When there are multiple daily charging time periods, f1 represents the duration of each charging time period. That is to say, for a day with multiple charging time periods, multiple f1s and corresponding multiple D1s can be obtained; f2 is the duration of the daily discharging time period obtained according to the charging and discharging strategy. When there are multiple daily discharging time periods, f2 represents the duration of each discharging time period. That is to say, for a day with multiple discharging time periods, multiple f2s and corresponding multiple D2s can be obtained; Q1 represents the first average power consumption peak value of the project in the charging time period corresponding to f1, and Q2 represents the second average power consumption peak value of the project in the discharging time period corresponding to f2. G represents the average value of the maximum demand value per month in the second preset period. For example, for the power load data of the project in the past 12 months, there is Wherein, T represents the maximum demand value (kw) per month in the past 12 months, and M represents the number of months involved in the calculation. The optimal energy storage capacity Y (kwh) is the smallest of all D1 and D2 in the second preset period.

[0116] Optionally, if the power supply billing mode is a demand billing mode, the first demand measurement model is used to determine the optimal energy storage capacity of the energy storage system to be allocated based on historical power load data and charging and discharging strategies, including:

[0117] Determine the charge and discharge rates for the energy storage system to be deployed.

[0118] Specifically, the charge and discharge rate for the energy storage system to be deployed is determined. The charge and discharge rate refers to the rate at which the energy storage system to be deployed can be charged and discharged in a unit time. It can be set according to the needs of the project and the power consumption mode, etc., to ensure that the energy storage system to be deployed can quickly respond to different power consumption needs. For example, the charge and discharge rate c is 1C, 0.5C, 0.33C, 0.25C, etc.

[0119] If the power supply billing mode is the demand billing mode, and the maximum demand value and the charging and discharging strategy meet the preset demand billing conditions, the first demand calculation model is adopted to determine the fourth charging demand capacity of each charging time period every day and the fourth discharging demand capacity of each discharging time period within the second preset period based on the charging time period, discharging time period, average power consumption peak and maximum demand value, and determine the optimal energy storage capacity based on the smallest of the third charging capacity demand and the third discharging demand capacity.

[0120] When the project is powered by the power grid, the power supply billing mode is the demand billing mode, and the maximum demand value and the charging and discharging strategy meet the preset demand billing conditions, the first demand calculation model is used to calculate the optimal energy storage capacity. Exemplarily, the first capacity calculation model includes:

[0121] Fourth charging required capacity X1=f1(G-Q1) / c;

[0122] The fourth discharge required capacity X2 = f2*Q2 / c;

[0123] Optimal energy storage capacity Y (kwh) = min [X1, X2] * c;

[0124] Wherein, f1 is the duration of the daily charging time period obtained according to the charging and discharging strategy; f2 is the duration of the daily discharging time period obtained according to the charging and discharging strategy; Q1 represents the first average power consumption peak value of the project in the charging time period corresponding to f1, and Q2 represents the second average power consumption peak value of the project in the discharging time period corresponding to f2. G represents the average value of the maximum demand value per month in the second preset period. The optimal energy storage capacity Y (kwh) is the product of the smallest of all X1 and X2 in the second preset period and c.

[0125] In this way, the charge and discharge rate c is introduced when calculating the optimal energy storage capacity so as to reflect the actual capacity and efficiency of the energy storage system to be equipped during the charging and discharging process.

[0126] For ease of understanding, the following is an example of a two-charge and two-discharge charging and discharging strategy, that is, the first charge, the first discharge, the second charge, and the second discharge are performed in sequence within one day. For this, there are:

[0127] The fourth charging required capacity of the first charging is X1=f1(G-Q1) / c;

[0128] The fourth discharge required capacity of the first discharge is X2=f2*Q2 / c;

[0129] The fourth charging required capacity of the second charging is X1=f1(G-Q1) / c;

[0130] The fourth discharge required capacity of the second discharge is X2=f2*Q2 / c;

[0131] Optimal energy storage capacity Y (kwh) = min [X1, X2] * c;

[0132] Among them, considering that the duration of different charging time periods and the average power load of corresponding projects may be different, and the duration of different discharging time periods and the average power load of corresponding projects may be different, the above expression can be converted into the following expression:

[0133] The fourth charging required capacity of the first charging is X1=f1(G-Q1) / c;

[0134] The fourth discharge required capacity of the first discharge is X2=f2*Q2 / c;

[0135] The fourth required charging capacity of the second charging is X3=f3(G-Q3) / c;

[0136] The fourth discharge required capacity of the second discharge is X4=f4*Q4 / c;

[0137] Optimal energy storage capacity Y (kwh) = min [X1, X2, X3, X4] * c;

[0138] Among them, f1 is the length of the charging time period of the first charge, f2 is the length of the discharge time period of the first discharge, f3 is the length of the charging time period of the second charge, and f4 is the length of the discharge time period of the second discharge; Q1 represents the first average power consumption peak of the project in the charging time period corresponding to f1, Q2 represents the second average power consumption peak of the project in the discharge time period corresponding to f2, Q3 represents the first average power consumption peak of the project in the charging time period corresponding to f3, and Q4 represents the second average power consumption peak of the project in the discharge time period corresponding to f4. G represents the average value of the maximum demand value per month in the second preset period. The optimal energy storage capacity Y (kwh) is the product of the smallest of all X1, X2, X3, and X4 in the first preset period and c.

[0139] Optionally, when the project is powered by a power grid and new energy power supply equipment, the power supply information includes the power supply billing mode of the power grid and the operating parameters of the new energy power supply equipment, and the power supply billing mode includes a capacity billing mode and a demand billing mode; the power consumption information includes the operating parameters of the transformer used for the project and the historical power load data of the project; the preset measurement model includes a second capacity measurement model and a second demand measurement model.

[0140] Specifically, the project is powered by the power grid and new energy power supply equipment (such as photovoltaic equipment, power generation equipment, etc.). The power grid supplies power to the project through the transformer used for the project. The corresponding power supply information includes power grid power supply billing modes such as capacity billing mode and demand billing mode, as well as the operating parameters of the new energy power supply equipment used to power the project. Among them, the capacity billing mode is based on transformer capacity or fixed capacity charging, and the demand billing mode is charged according to the actual maximum demand of the project (that is, the maximum value of demand recorded within a specified period or settlement period, where demand refers to the average value of power within a specified time interval).

[0141] The electricity consumption information includes the operating parameters of the transformer used for the project and the historical electricity load data of the project. These data reflect the actual electricity consumption characteristics of the project and provide reliable input parameters for subsequent calculations, thereby improving the accuracy of the distribution storage capacity calculation. The preset calculation model includes a second capacity calculation model and a second demand calculation model. The second capacity calculation model is used to calculate the distribution storage capacity under the capacity billing mode, and the second demand calculation model is used to calculate the distribution storage capacity under the demand billing mode. By distinguishing different billing modes and using the calculation models corresponding to different billing modes to calculate the distribution storage capacity, it can effectively adapt to the electricity billing rules of different projects or regions, thereby better meeting the needs of actual projects.

[0142] In this way, when calculating the optimal energy storage capacity of the project storage, the method of this embodiment comprehensively considers the actual power supply situation and power consumption characteristics of the project, and can comprehensively evaluate the power supply reliability and economy of the project by analyzing the power supply billing mode of the power grid (such as capacity billing mode and demand billing mode) and the operating parameters of the new energy power supply equipment. In addition, considering the operating parameters of the transformer and the historical power load data, the calculation model can accurately reflect the actual power demand of the project, so that the project storage can ensure that the power demand of the project is met under different load conditions, and maximize the economic benefits of the storage, providing strong support for the sustainable development of the project.

[0143] Step 300 includes:

[0144] When the project is powered by the power grid and new energy power supply equipment, and the power supply billing mode is the capacity billing mode, the second capacity calculation model is used to determine the optimal energy storage capacity of the energy storage system to be equipped based on the operating parameters of the new energy power supply equipment, the operating parameters of the transformer, the historical power load data and the charging and discharging strategy;

[0145] When the project is powered by the power grid and new energy power supply equipment, and the power supply billing mode is the demand billing mode, the second demand measurement model is used to determine the optimal energy storage capacity of the energy storage system to be equipped based on the operating parameters of the new energy power supply equipment, the operating parameters of the transformer, the historical power load data and the charging and discharging strategy.

[0146] Specifically, if the project is powered by the power grid and new energy power supply equipment, and the power supply billing mode adopted by the project is the capacity billing mode, the second capacity calculation model is used to determine the optimal energy storage capacity of the energy storage system to be equipped based on the historical power load data of the project and the operating parameters of the transformer used to power the project and the operating parameters of the new energy power supply equipment, combined with the corresponding charging and discharging strategy of the project area; and if the project is powered by the power grid and new energy power supply equipment, and the power supply billing mode adopted by the project is the demand billing mode, the second demand calculation model is used to determine the optimal energy storage capacity of the energy storage system to be equipped based on the historical power load data of the project and the operating parameters of the transformer used to power the project and the operating parameters of the new energy power supply equipment, combined with the corresponding charging and discharging strategy of the project area. In this way, the optimal energy storage capacity determined by the corresponding calculation model combines the historical power load data of the project, transformer operating parameters, energy supply equipment operating parameters and the charging and discharging strategies of the corresponding regions. It not only ensures that the configuration of the energy storage system accurately matches the actual needs of the project, but also effectively improves the utilization rate of the energy storage system, avoids equipment idleness and investment waste due to excessive configuration, and prevents the optimization of electricity costs due to insufficient capacity. It can effectively improve the return on investment, cope with the impact of electricity price fluctuations, and ensure the long-term stability and safety of the energy storage system, thereby achieving higher economic benefits.

[0147] Optionally, the operating parameters of the transformer include transformer capacity and transformer coefficient, and the charging and discharging strategy includes daily charging time period and discharging time period; the operating parameters of the new energy power supply equipment include the installed capacity of the new energy power supply equipment, and the first output time proportion of the new energy power supply equipment in the charging time period and the second output time proportion in the discharging time period; the historical power load data includes the first average power load of the project in the charging time period and the second average power load in the discharging time period;

[0148] The second capacity calculation model is used to determine the optimal energy storage capacity of the energy storage system to be deployed based on the operating parameters of the new energy power supply equipment, the operating parameters of the transformer, the historical power load data and the charging and discharging strategy, including:

[0149] A second capacity calculation model is adopted to determine the fifth charging demand capacity of each charging time period of each day in the third preset period and the fifth discharge demand capacity of each discharge time period based on the charging time period, discharging time period, transformer capacity, transformer coefficient, installed capacity, first output time proportion, second output time proportion, first average power load and second average power load. The smallest of all the fifth charging capacity requirements and fifth discharge demand capacities in the third preset period is taken as the optimal energy storage capacity.

[0150] Specifically, when the project is powered by the power grid and new energy power supply equipment, and the power supply billing mode is the capacity billing mode, by introducing the transformer capacity and transformer coefficient of the transformer used to power the project, as well as the installed capacity of the new energy power supply equipment, and the output time proportion of the new energy power supply equipment in the charging time period and the discharging time period (the output time proportion of the new energy power supply equipment in the charging time period is recorded as the first output time proportion, and the output time proportion in the discharging time period is recorded as the second output time proportion), the power supply of the project is comprehensively considered, and the storage capacity is calculated based on power supply safety. Among them, the transformer capacity is the maximum power load that the transformer can stably transmit under rated conditions, which determines how much space the project has available for energy storage operation. In other words, the transformer capacity limits the overall power capacity of the project and the energy storage system to be allocated, ensuring that the power carrying capacity of the transformer will not be exceeded when configuring the energy storage capacity, thereby avoiding the risk of overload. The transformer coefficient is used to correct the power load situation. It is an adjustment parameter for the load-bearing capacity of the transformer in the actual operating environment. The maximum adjustable coefficient of this transformer can be defined based on external factors such as the service life of the transformer. The installed capacity of new energy power supply equipment is the maximum power generation capacity that the equipment can achieve during design and construction. Specifically, the installed capacity refers to the maximum power that the equipment (such as photovoltaic power generation system, wind turbine, etc.) can continuously output under ideal conditions. The output time ratio (or working time ratio) of new energy power supply equipment in the charging time period and the discharging time period is the ratio of the time when the new energy power supply equipment actually generates electricity or outputs power to the total time (i.e., the duration of the corresponding charging or discharging time period) in a specific charging or discharging time period, that is, the ratio of the time when the new energy power supply equipment provides stable power to the project in the charging or discharging time period to the total time (i.e., the duration of the corresponding charging or discharging time period). In some embodiments, the new energy power supply equipment adopts photovoltaic equipment, and the corresponding photovoltaic working time (or photovoltaic output time) needs to be calculated based on the weather (sunrise and sunset time) at the project location.

[0151] Moreover, by introducing the charging time period, the discharging time period, and the average power load of the charging time period and the discharging time period (the average power load of the project in the charging time period is recorded as the first average power load, and the average power load in the discharging time period is recorded as the second average power load), it is helpful to accurately calculate the actual demand of each time period, so as to determine the electric energy capacity suitable for storage when the charging time period meets the power consumption of the project (recorded as the fifth charging demand capacity), and determine the electric energy capacity required to meet the power consumption of the project in the discharging time period (recorded as the fifth discharging demand capacity). The smallest one of all the fifth charging demand capacities and the fifth discharging demand capacities within the determined third preset period is taken as the optimal energy storage capacity, so as to ensure that the energy storage equipment to be equipped can be fully charged and discharged as much as possible after being configured on the project, so as to maximize the benefits.

[0152] Moreover, considering that the peak and valley periods of electricity prices and charging and discharging strategies may be different in different regions and at different times, the determination of the fifth charging capacity demand and the fifth discharging capacity demand for projects in the same region needs to take into account the changes caused by time changes. Therefore, the fifth charging capacity demand and the fifth discharging capacity demand used to determine the optimal energy storage capacity come from the fifth charging capacity demand of each charging time period and the fifth discharging capacity demand of each discharging time period every day within the third preset cycle. By setting the third preset cycle to cover the fluctuations of electricity load and electricity prices within a period of time, the peak, valley and electricity demand changes within the cycle are comprehensively considered, so that the calculated energy storage capacity is closer to the actual demand, which can avoid the deviation that may occur based on a single day's data, and further improve the rationality and accuracy of the calculation. Moreover, within the third preset period, the demand of each charging and discharging time period of each day can be combined, and the optimal energy storage configuration scheme can be selected by comparing the demand of each day (i.e., the smallest of the fifth charging demand capacity of each charging time period of each day and the fifth discharging demand capacity of each discharging time period within the third preset period is taken as the optimal energy storage capacity), so that the energy storage system is closer to a fully charged and fully discharged working state, avoiding idleness or overload, and improving the utilization rate and return on investment of the energy storage equipment. For example, the third preset period can be set according to actual needs, such as being set to a certain number of days, a certain month, or a year.

[0153] Optionally, the second capacity calculation model includes:

[0154] Fifth charging demand capacity D1=f1(S*A-(p1-m1*E));

[0155] The fifth discharge required capacity D2 = f2 (p2 - m2 * E);

[0156] Optimal energy storage capacity Y (kwh) = min [D1, D2];

[0157] Among them, S is the transformer capacity of the transformer used to power the project, and A is the transformer coefficient of the transformer; after the energy storage device to be equipped is configured on the project, the transformer is used to power the project and the energy storage device. f1 is the duration of the daily charging time period obtained according to the charging and discharging strategy. When there are multiple daily charging time periods, f1 represents the duration of each charging time period. That is to say, for a day with multiple charging time periods, multiple f1s and corresponding multiple D1s can be obtained; f2 is the duration of the daily discharge time period obtained according to the charging and discharging strategy. When there are multiple daily discharge time periods, f2 represents the duration of each discharge time period. That is to say, for a day with multiple discharge time periods, multiple f2s and corresponding multiple D2s can be obtained. p1 represents the first average power load of the project in the charging time period corresponding to f1, and p2 represents the second average power load of the project in the discharging time period corresponding to f2; m1 represents the first output time proportion of photovoltaic in the charging time period corresponding to f1, and m2 represents the second output time proportion of photovoltaic in the discharging time period corresponding to f2; E represents the installed capacity of the new energy power supply equipment; the optimal energy storage capacity Y (kwh) is the smallest one among all D1 and D2 in the third preset period.

[0158] Optionally, the second capacity calculation model is used to determine the optimal energy storage capacity of the energy storage system to be allocated based on the operating parameters of the new energy power supply equipment, the operating parameters of the transformer, the historical power load data and the charging and discharging strategy, including:

[0159] Determine the charge and discharge rates for the energy storage system to be deployed.

[0160] Specifically, the charge and discharge rate for the energy storage system to be deployed is determined. The charge and discharge rate refers to the rate at which the energy storage system to be deployed can be charged and discharged in a unit time. It can be set according to the needs of the project and the power consumption mode, etc., to ensure that the energy storage system to be deployed can quickly respond to different power consumption needs. For example, the charge and discharge rate c is 1C, 0.5C, 0.33C, 0.25C, etc.

[0161] A second capacity calculation model is used to determine the fifth charging demand capacity of each charging time period every day and the fifth discharging demand capacity of each discharging time period within the third preset period based on the charging time period, discharging time period, transformer capacity, transformer coefficient, installed capacity, output time ratio and average power load, and the optimal energy storage capacity is determined based on the smallest of the fifth charging capacity demand and the fifth discharging capacity demand.

[0162] Exemplarily, the second capacity calculation model includes:

[0163] Fifth charging requirement capacity X1=f1(S*A-(p1-m1*E)) / c;

[0164] Fifth discharge required capacity X2 = f2 (p2-m2*E) / c;

[0165] Optimal energy storage capacity Y (kwh) = min [X1, X2] * c;

[0166] Among them, S is the transformer capacity of the transformer used to power the project, A is the transformer coefficient of the transformer; f1 is the duration of the daily charging time period obtained according to the charging and discharging strategy, f2 is the duration of the daily discharging time period obtained according to the charging and discharging strategy, p1 represents the first average power load of the project in the charging time period corresponding to f1, p2 represents the second average power load of the project in the discharging time period corresponding to f2, m1 represents the proportion of the first output time of photovoltaic in the charging time period corresponding to f1, m2 represents the proportion of the second output time of photovoltaic in the discharging time period corresponding to f2, E represents the installed capacity of the new energy power supply equipment, and the optimal energy storage capacity Y (kwh) is the product of the smallest one of all X1 and X2 in the third preset period and c.

[0167] In this way, the charge and discharge rate c is introduced when calculating the optimal energy storage capacity so as to reflect the actual capacity and efficiency of the energy storage system to be equipped during the charging and discharging process.

[0168] For ease of understanding, the following is an example of a two-charge and two-discharge charging and discharging strategy, that is, the first charge, the first discharge, the second charge, and the second discharge are performed in sequence within one day. For this, there are:

[0169] The third required charging capacity of the first charge is X1=f1(S*A-(p1-m1*E)) / c;

[0170] The third discharge required capacity of the first discharge is X2=f2(p2-m2*E) / c;

[0171] The third required charging capacity of the second charging is X1=f1(S*A-(p1-m1*E)) / c;

[0172] The third discharge required capacity of the second discharge is X2=f2(p2-m2*E) / c;

[0173] Optimal energy storage capacity Y (kwh) = min [X1, X2] * c;

[0174] Among them, considering that the duration of different charging time periods and the average power load of corresponding projects may be different, and the duration of different discharging time periods and the average power load of corresponding projects may be different, the above expression can be converted into the following expression:

[0175] The third required charging capacity of the first charge is X1=f1(S*A-(p1-m1*E)) / c;

[0176] The third discharge required capacity of the first discharge is X2=f2(p2-m2*E) / c;

[0177] The third required charging capacity of the second charging is X3=f3(S*A-(p3-m3*E)) / c;

[0178] The third discharge required capacity of the second discharge is X4=f4(p4-m4*E) / c;

[0179] Optimal energy storage capacity Y (kwh) = min [X1, X2, X3, X4] * c;

[0180] Among them, f1 is the length of the charging time period of the first charging, f2 is the length of the discharging time period of the first discharging, f3 is the length of the charging time period of the second charging, and f4 is the length of the discharging time period of the second discharging; p1 represents the first average power load of the project in the charging time period corresponding to f1, p2 represents the second average power load of the project in the discharging time period corresponding to f2, p3 represents the first average power load of the project in the charging time period corresponding to f3, and p4 represents the second average power load of the project in the discharging time period corresponding to f4; m1 represents the first output time proportion of photovoltaic power in the charging time period corresponding to f1, m2 represents the second output time proportion of photovoltaic power in the discharging time period corresponding to f2, m3 represents the first output time proportion of photovoltaic power in the charging time period corresponding to f3, and m4 represents the second output time proportion of photovoltaic power in the discharging time period corresponding to f4; E represents the installed capacity of new energy power supply equipment; the optimal energy storage capacity Y (kwh) is the product of the smallest one of all X1, X2, X3, and X4 in the third preset period and c.

[0181] Optionally, the operating parameters of the transformer include transformer capacity and transformer coefficient, and the charging and discharging strategy includes daily charging time period and discharging time period; the operating parameters of the new energy power supply equipment include the installed capacity of the new energy power supply equipment, and the first output time proportion of the new energy power supply equipment in the charging time period and the second output time proportion in the discharging time period; the historical power load data includes the first average power consumption peak value of the project in the charging time period and the second average power consumption peak value in the discharging time period, as well as the maximum demand value of the project per month in the second preset period;

[0182] When the project is powered by the power grid and new energy power supply equipment, and the power supply billing mode is the demand billing mode, the second demand measurement model is used to determine the optimal energy storage capacity of the energy storage system to be deployed based on the operating parameters of the new energy power supply equipment, the operating parameters of the transformer, the historical power load data and the charging and discharging strategy, including:

[0183] When the project is powered by the power grid and new energy power supply equipment, the power supply billing mode is the demand billing mode, and the maximum demand value and the charging and discharging strategy meet the preset demand billing conditions, the second demand measurement model is adopted to determine the sixth charging demand capacity of each charging time period every day in the fourth preset period and the sixth discharging demand capacity of each discharging time period based on the charging time period, discharging time period, transformer capacity, transformer coefficient, installed capacity, first output time proportion, second output time proportion, first average power consumption peak value and second average power consumption peak value. The smallest of all the sixth charging capacity demands and the sixth discharging capacity demands in the fourth preset period is taken as the optimal energy storage capacity.

[0184] Specifically, when the project is powered by the power grid and new energy power supply equipment, and the power supply billing mode adopted by the project is the demand billing mode, the configuration of the energy storage system needs to consider whether the project is suitable for storage, that is, to judge whether the maximum demand value and the charging and discharging strategy meet the preset demand billing conditions. Specifically, according to the maximum demand value (i.e., maximum power consumption value) of the project every month in the fourth preset period, if the maximum demand value (maximum power consumption value) of most months in the fourth preset period appears in the charging time period shown in the charging and discharging strategy, it indicates that the project cannot be effectively charged through the energy storage system during peak power consumption, and the project is considered to be not suitable for storage; on the contrary, if the maximum demand value of each month in the fourth preset period appears mostly in the discharging time period, it means that the energy storage system can effectively reduce the demand pressure, and the configuration of the energy storage system will be beneficial and suitable for storage. Through such an evaluation, the economy and effectiveness of the energy storage system configuration can be ensured. Among them, the fourth preset period can be set according to actual needs, such as taking one year (twelve months). Exemplarily, the fourth preset period is twelve months, and it is determined whether the maximum electricity consumption value of each month in the past 12 months is within the charging time period of the project (which is determined by the charging and discharging strategy). If more than half of the months in the past data are within this time period, it indicates that the project has a high electricity consumption during the charging time period, and the electricity consumption characteristics of the project do not match the peak-valley model of the region, and economic benefits cannot be generated through peak-valley arbitrage, then the project is considered not suitable for storage.

[0185] When it is determined that the maximum demand value and the charging and discharging strategy meet the preset demand billing conditions, it is considered that the project can generate economic benefits by carrying out storage allocation. In this case, the second demand measurement model can be used. Based on the charging time period, discharging time period, transformer capacity, transformer coefficient, installed capacity, output time proportion (the output time proportion of the new energy power supply equipment in the charging time period is recorded as the first output time proportion, and the output time proportion in the discharging time period is recorded as the second output time proportion) and average power peak (the average power peak of the project in the charging time period is recorded as the first average power peak, and the average power peak in the discharging time period is recorded as the second average power peak), the sixth charging demand capacity of each charging time period every day in the fourth preset period and the sixth discharging demand capacity of each discharging time period are determined, and the smallest of all the sixth charging capacity demands and the sixth discharging capacity demands in the fourth preset period is taken as the optimal energy storage capacity, so that the energy storage system is closer to a fully charged and discharged working state, avoiding idle or overloaded conditions, and improving the utilization rate and return on investment of energy storage equipment. Among them, the average peak power consumption provides a benchmark, indicating the typical load level of the project during the charging and discharging time period; the installed capacity reflects the maximum power output that the new energy power supply equipment can provide under ideal conditions. As an important basis for the design of the energy storage system, combined with the output time ratio, the energy storage demand can be further corrected to ensure that the new energy power supply is effectively considered when calculating the optimal energy storage capacity, thereby optimizing the project's electricity cost structure. By introducing the average peak power consumption and installed capacity, the output time ratio, combined with the charging time period, the discharging time period, the transformer capacity and the transformer coefficient, the second demand measurement model can more comprehensively reflect the power supply and power consumption characteristics and demand fluctuations of the project in different time periods, making the energy storage system configuration more accurate, thereby ensuring that the project can effectively cope with peak loads while maximizing the economic return and utilization efficiency of the energy storage system, while reducing electricity costs, improving the efficiency of power resources, and promoting the sustainable development of the project.

[0186] Optionally, the second demand measurement model includes:

[0187] Sixth charging demand capacity D1=f1(S*A-(Q1-m1*E));

[0188] The sixth discharge required capacity D2 = f2 (Q2 - m2 * E);

[0189] Optimal energy storage capacity Y (kwh) = min [D1, D2];

[0190] Among them, f1 is the duration of the daily charging time period obtained according to the charging and discharging strategy. When there are multiple daily charging time periods, f1 represents the duration of each charging time period. That is to say, for a day with multiple charging time periods, multiple f1s and corresponding multiple D1s can be obtained; f2 is the duration of the daily discharge time period obtained according to the charging and discharging strategy. When there are multiple daily discharge time periods, f2 represents the duration of each discharge time period. That is to say, for a day with multiple discharge time periods, multiple f2s and corresponding multiple D2s can be obtained; Q1 represents the first average power consumption peak of the project in the charging time period corresponding to f1, and Q2 represents the second average power consumption peak of the project in the discharge time period corresponding to f2; m1 represents the first output time proportion of photovoltaic power generation in the charging time period corresponding to f1, and m2 represents the second output time proportion of photovoltaic power generation in the discharge time period corresponding to f2; E represents the installed capacity of new energy power supply equipment; the optimal energy storage capacity Y (kwh) takes the smallest one of all D1 and D2 in the fourth preset period. In addition, when judging whether the maximum demand value and the charging and discharging strategy meet the preset demand billing conditions, the maximum demand value G is the average value of the maximum demand value of each month in the fourth preset period. For example, for the power load data of the project in the past 12 months, there is Where T represents the maximum demand value per month in the past 12 months (kw), and M represents the number of months involved in the calculation.

[0191] Optionally, the different considerations for demand measurement in the absence of new energy power supply equipment and in the presence of new energy power supply equipment are mainly due to changes in power generation mode and power consumption structure. When there is no new energy power supply equipment, the power supply mode of the project is single, mainly relying on the external power grid. The capacity S of the transformer and the transformer coefficient A may not directly affect the demand measurement; the demand measurement depends on the power load, that is, when there is no new energy power supply equipment, the demand measurement mainly depends on the historical power load data and the maximum demand value of the project. These data are usually sufficient to reflect the power demand of the project and avoid the additional complexity of considering the transformer. When new energy power supply equipment is introduced to power the project, the power supply mode of the project becomes more complicated. The power source includes not only the external power grid, but also the new energy power supply equipment. In this case, the capacity S of the transformer and the transformer coefficient A may play an important role in the balance of power supply and demand. The power supply capacity of the new energy power supply equipment will affect the actual power load of the project. Therefore, the characteristics of the transformer need to be taken into consideration when calculating the demand. In summary, demand estimation when there is no new energy power supply equipment usually relies on historical power load, while when there is new energy power supply equipment, it is necessary to consider the capacity and coefficient of the transformer to adapt to the complex power supply structure and dynamic charging and discharging strategy, to ensure that the power supply demand and power generation capacity can be more accurately reflected, thereby optimizing the configuration of the energy storage system.

[0192] Optionally, when the project is powered by the power grid and new energy power supply equipment, and the power supply billing mode is the demand billing mode, the second demand measurement model is used to determine the optimal energy storage capacity of the energy storage system to be equipped based on the operating parameters of the new energy power supply equipment, the operating parameters of the transformer, the historical power load data and the charging and discharging strategy, including:

[0193] Determine the charge and discharge rates for the energy storage system to be deployed.

[0194] Specifically, the charge and discharge rate for the energy storage system to be deployed is determined. The charge and discharge rate refers to the rate at which the energy storage system to be deployed can be charged and discharged in a unit time. It can be set according to the needs of the project and the power consumption mode, etc., to ensure that the energy storage system to be deployed can quickly respond to different power consumption needs. For example, the charge and discharge rate c is 1C, 0.5C, 0.33C, 0.25C, etc.

[0195] When the project is powered by the power grid and new energy power supply equipment, the power supply billing mode is the demand billing mode, and the maximum demand value and the charging and discharging strategy meet the preset demand billing conditions, the second demand measurement model is adopted to determine the sixth charging demand capacity of each charging time period every day and the sixth discharging demand capacity of each discharging time period within the fourth preset period based on the charging time period, discharging time period, transformer capacity, transformer coefficient, installed capacity, output time ratio and average power consumption peak, and determine the optimal energy storage capacity based on the smallest of the sixth charging capacity demand and the sixth discharging capacity demand.

[0196] Specifically, if the project is powered by the power grid and new energy power supply equipment, the power supply billing mode is the demand billing mode, and the maximum demand value and the charging and discharging strategy meet the preset demand billing conditions, the second demand calculation model is used to calculate the optimal energy storage capacity. Exemplarily, the second capacity calculation model includes:

[0197] Sixth charging required capacity X1=f1(S*A-(Q1-m1*E)) / c;

[0198] The sixth discharge required capacity X2 = f2 (Q2-m2*E) / c;

[0199] Optimal energy storage capacity Y (kwh) = min [X1, X2] * c;

[0200] Among them, f1 is the duration of the daily charging time period obtained according to the charging and discharging strategy; f2 is the duration of the daily discharging time period obtained according to the charging and discharging strategy; Q1 represents the first average power consumption peak of the project in the charging time period corresponding to f1, and Q2 represents the second average power consumption peak of the project in the discharging time period corresponding to f2; m1 represents the first output time proportion of photovoltaic in the charging time period corresponding to f1, and m2 represents the second output time proportion of photovoltaic in the discharging time period corresponding to f2; E represents the installed capacity of the new energy power supply equipment; the optimal energy storage capacity Y (kwh) is the product of the smallest one of all X1 and X2 in the fourth preset period and c.

[0201] In this way, the charge and discharge rate c is introduced when calculating the optimal energy storage capacity so as to reflect the actual capacity and efficiency of the energy storage system to be equipped during the charging and discharging process.

[0202] For ease of understanding, the following is an example of a two-charge and two-discharge charging and discharging strategy, that is, the first charge, the first discharge, the second charge, and the second discharge are performed in sequence within one day. For this, there are:

[0203] The sixth charging required capacity of the first charge is X1=f1(S*A-(Q1-m1*E)) / c;

[0204] The sixth discharge required capacity of the first discharge is X2=f2(Q2-m2*E) / c;

[0205] The sixth required charging capacity of the second charging is X1=f1(S*A-(Q1-m1*E)) / c;

[0206] The sixth discharge required capacity of the second discharge is X2=f2(Q2-m2*E) / c;

[0207] Optimal energy storage capacity Y (kwh) = min [X1, X2] * c;

[0208] Among them, considering that the duration of different charging time periods and the average power load of corresponding projects may be different, and the duration of different discharging time periods and the average power load of corresponding projects may be different, the above expression can be converted into the following expression:

[0209] The fourth charging required capacity of the first charging is X1=f1(S*A-(Q1-m1*E)) / c;

[0210] The fourth discharge required capacity of the first discharge is X2=f2(Q2-m2*E) / c;

[0211] The fourth charging required capacity of the second charging is X3=f3(S*A-(Q3-m3*E)) / c;

[0212] The fourth discharge required capacity of the second discharge is X4=f4(Q4-m4*E) / c;

[0213] Optimal energy storage capacity Y (kwh) = min [X1, X2, X3, X4] * c;

[0214] Among them, f1 is the length of the charging time period of the first charging, f2 is the length of the discharging time period of the first discharging, f3 is the length of the charging time period of the second charging, and f4 is the length of the discharging time period of the second discharging; Q1 represents the first average power consumption peak of the project in the charging time period corresponding to f1, Q2 represents the second average power consumption peak of the project in the discharging time period corresponding to f2, Q3 represents the first average power consumption peak of the project in the charging time period corresponding to f3, and Q4 represents the second average power consumption peak of the project in the discharging time period corresponding to f4; m1 represents the first output time proportion of photovoltaic power in the charging time period corresponding to f1, m2 represents the second output time proportion of photovoltaic power in the discharging time period corresponding to f2, m3 represents the first output time proportion of photovoltaic power in the charging time period corresponding to f3, and m4 represents the second output time proportion of photovoltaic power in the discharging time period corresponding to f4; E represents the installed capacity of new energy power supply equipment; the optimal energy storage capacity Y (kwh) is the product of the smallest one of all X1, X2, X3, and X4 in the fourth preset period and c.

[0215] Optionally, the preset demand billing condition includes: within a corresponding preset period, the ratio of the number of months in which the maximum demand value appears in the discharge time period to the total number of months in the preset period is greater than a preset threshold.

[0216] When the grid power supply billing mode adopted by the project is the demand billing mode, the configuration of the energy storage system needs to consider whether the project is suitable for storage, that is, to determine whether the maximum demand value and the charging and discharging strategy meet the preset demand billing conditions. Specifically, according to the maximum demand value (i.e., maximum power consumption value) of the project every month in the corresponding preset period, if the proportion of the number of months in which the maximum demand value appears in the discharge time period shown in the charging and discharging strategy in the second preset period accounts for the total number of months in the preset period, which is greater than the preset threshold (such as 50%, 60%, etc.), the project is considered to be suitable for storage and can generate corresponding economic benefits; on the contrary, if the maximum demand value of each month in the corresponding preset period mostly appears in the charging time period shown in the charging and discharging strategy, it indicates that the project cannot be effectively charged through the energy storage system during peak power consumption, and the project is considered to be unsuitable for storage. Among them, the preset threshold can be set according to specific circumstances such as economic benefits.

[0217] For example, when the project is powered by the power grid and the power supply billing mode adopted by the project is the demand billing mode, the configuration of the energy storage system needs to consider whether the project is suitable for storage, that is, to determine whether the maximum demand value and the charging and discharging strategy meet the preset demand billing conditions. Specifically, according to the maximum demand value (i.e., maximum power consumption value) of the project every month in the second preset period, if the maximum demand value (maximum power consumption value) of most months in the second preset period appears in the charging time period shown in the charging and discharging strategy, it indicates that the project cannot be effectively charged through the energy storage system during peak power consumption, and the project is considered to be unsuitable for storage; on the contrary, if the maximum demand value of each month in the second preset period mostly appears in the discharging time period, it means that the energy storage system can effectively reduce the demand pressure, and the configuration of the energy storage system will be beneficial and suitable for storage. Through such an evaluation, the economy and effectiveness of the energy storage system configuration can be ensured.

[0218] When the project is powered by the power grid and new energy power supply equipment, and the power supply billing mode adopted by the project is the demand billing mode, the configuration of the energy storage system needs to consider whether the project is suitable for storage, that is, to determine whether the maximum demand value and the charging and discharging strategy meet the preset demand billing conditions. Specifically, according to the maximum demand value (i.e., maximum power consumption value) of the project every month in the fourth preset period, if the maximum demand value (maximum power consumption value) of most months in the fourth preset period appears in the charging time period shown in the charging and discharging strategy, it means that the project cannot be effectively charged through the energy storage system during peak power consumption, and the project is considered to be unsuitable for storage; on the contrary, if the maximum demand value of each month in the fourth preset period appears mostly in the discharging time period, it means that the energy storage system can effectively reduce the demand pressure, and the configuration of the energy storage system will be beneficial and suitable for storage. Through such an evaluation, the economy and effectiveness of the energy storage system configuration can be ensured.

[0219] When judging whether the maximum demand value and the charging and discharging strategy meet the preset demand billing conditions, the maximum demand value G is the average value of the maximum demand value per month in the corresponding preset period. For example, if the corresponding preset period is determined to be 12 months, then for the power load data of the project in the past 12 months, there is Where T represents the maximum demand value per month in the past 12 months (kw), and M represents the number of months involved in the calculation.

[0220] Optionally, after step 200 and before step 300, the storage capacity calculation method further includes:

[0221] According to the original power consumption information of the acquired project, the original power consumption information is preprocessed to obtain the power consumption information;

[0222] According to the original power consumption information of the acquired project, the original power consumption information is preprocessed to obtain the power consumption information including:

[0223] Determine the median of all original historical electricity load data of the acquired projects within the corresponding preset period, and select the original historical electricity load data whose deviation ratio relative to the median is less than or equal to the preset ratio as electricity consumption information; wherein the deviation ratio is the absolute value of the difference between the original historical electricity load data and the median, divided by the median.

[0224] Specifically, considering that the original power consumption information includes historical power load data, power consumption peak data and other data of the project, which may contain noise, missing data or inconsistent time intervals, directly using it for storage capacity calculation will affect the accuracy of the calculation results. Therefore, in order to further improve the accuracy of storage capacity calculation, it is preferred to pre-process the original unprocessed power consumption information of the acquired project (referred to as original power consumption information), such as cleaning, sorting, data formatting and standardizing the original power consumption data of the project, so as to generate more accurate and standardized power consumption information, so as to be better used for subsequent storage capacity calculation.

[0225] Exemplarily, the past power load data (i.e., original historical power load data) contained in the original power load information of the acquired project within the corresponding preset period is filtered and screened, and the obtained historical power load data is used as part of the power information. Among them, the median of all original historical power load data can be calculated based on all the original historical power load data of the acquired project within the corresponding preset period, and the original historical power load data whose deviation ratio relative to the median (i.e., the absolute value of the difference between the original historical power load data and the median, and the quotient of the median) is less than or equal to the preset proportion is screened, that is, the part of all original historical power load data with a smaller deviation from the median (i.e., the part of all original historical power load data with a larger deviation from the median is filtered out) as part of the power information. Among them, the preset proportion can be set according to actual needs. It is worth noting that when the original historical power load data contains multiple types of data, the power information is obtained by screening each type of data accordingly.

[0226] In some embodiments, considering that the peak and valley time periods and electricity prices in different regions may change according to the information released monthly by the local power grid, different peak and valley time periods in different regions will greatly affect the calculation of the distribution storage capacity. If the peak and valley time periods are adjusted on a monthly basis, the peak and valley time periods of each day in the same month are consistent, and the meter data is based on a point every 15 minutes, then in step 110, the peak and valley time periods of each month can be split into 96 (i.e., 4*24) points (corresponding to 24 hours a day) to count the peak and valley time periods of each month in different regions. Accordingly, the acquisition of the original historical power load data can be carried out based on these points, that is, the acquisition of the original historical power load data is carried out at each point. According to the acquired original historical power load data, the median of the original historical power load data corresponding to each point is calculated (the daily load data is one point every 15 minutes, a total of 96), and the point data corresponding to the date that is higher / lower than the preset proportion (such as 30%) of the point is eliminated to ensure that the atypical load curve is not within the calculation range. In this way, based on this data processing, it can be ensured that the average power load p and average power peak Q of the items in the power consumption information obtained are more accurate, and the accuracy of storage capacity calculation is also relatively higher.

[0227] Combination Figure 3 As shown, another embodiment of the present invention provides a storage capacity calculation device, comprising:

[0228] A charging and discharging strategy determination unit, used to determine the charging and discharging strategy for the energy storage system to be allocated based on the acquired location information of the corresponding project of the energy storage system to be allocated and a preset database; wherein the preset database includes information on peak and valley periods of electricity prices in different regions and information on the charging and discharging strategy determined based on the information on peak and valley periods of electricity prices;

[0229] The storage capacity calculation unit is used to determine the optimal energy storage capacity of the energy storage system to be allocated based on the charging and discharging strategy and the power supply information and power consumption information of the acquired project and based on a preset calculation model.

[0230] The storage capacity calculation device of this embodiment is used to implement the above-mentioned storage capacity calculation method. Its advantages over the existing technology are the same as the advantages of the above-mentioned storage capacity calculation method over the existing technology, which will not be repeated here.

[0231] Combination Figure 4 As shown, another embodiment of the present invention provides an electronic device, including a memory 401 and a processor 402;

[0232] Memory 401, used for storing computer programs;

[0233] The processor 402 is used to implement the above-mentioned storage capacity calculation method when executing the computer program.

[0234] In other words, an electronic device includes a memory 401 and a processor 402 coupled to the memory 401; the memory 401 is configured to store a computer program; and the processor 402 is configured to perform the following operations when executing the computer program:

[0235] Determine the charging and discharging strategy for the energy storage system to be deployed based on the acquired location information of the project corresponding to the energy storage system to be deployed and the preset database; wherein the preset database includes the peak and valley time period information of electricity prices in different regions and the charging and discharging strategy information determined based on the peak and valley time period information of electricity prices;

[0236] According to the charging and discharging strategy and the power supply and consumption information of the project that has been obtained, the optimal energy storage capacity of the energy storage system to be equipped is determined based on the preset measurement model.

[0237] The electronic device of this embodiment can be used to implement the above-mentioned storage capacity calculation method. Its advantages over the existing technology are the same as the advantages of the above-mentioned storage capacity calculation method over the existing technology, which will not be repeated here.

[0238] Another embodiment of the present invention provides a computer-readable storage medium, which stores a computer program. When the computer program is read and executed by a processor, the above-mentioned storage capacity calculation method is implemented.

[0239] In other words, a non-volatile computer-readable storage medium stores a computer program, which, when executed by a processor, causes the processor to perform the following operations:

[0240] Determine the charging and discharging strategy for the energy storage system to be deployed based on the acquired location information of the project corresponding to the energy storage system to be deployed and the preset database; wherein the preset database includes the peak and valley time period information of electricity prices in different regions and the charging and discharging strategy information determined based on the peak and valley time period information of electricity prices;

[0241] According to the charging and discharging strategy and the power supply and consumption information of the project that has been obtained, the optimal energy storage capacity of the energy storage system to be equipped is determined based on the preset measurement model.

[0242] The technical solution of the embodiment of the present invention, in essence or in other words, the part that contributes to the prior art, or the whole or part of the technical solution can be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for making a computer device (which can be a personal computer, server, or network device, etc.) or a processor perform all or part of the steps of the method of the embodiment of the present invention. The aforementioned storage medium includes: various media that can store program codes, such as a USB flash drive, a mobile hard disk, a ROM, a RAM, a magnetic disk, or an optical disk.

[0243] The computer-readable storage medium of this embodiment can be used to implement the above-mentioned storage capacity calculation method. Its advantages over the existing technology are the same as the advantages of the above-mentioned storage capacity calculation method over the existing technology, which will not be repeated here.

[0244] Although the present invention is disclosed as above, the protection scope of the present invention is not limited thereto. Those skilled in the art may make various changes and modifications without departing from the spirit and scope of the present invention, and these changes and modifications will fall within the protection scope of the present invention.

Claims

1. A method for calculating storage capacity, characterized in that: include: Determine the charging and discharging strategy for the energy storage system to be allocated based on the acquired location information of the project corresponding to the energy storage system to be allocated and the preset database; wherein the preset database includes the peak and valley time period information of electricity prices in different regions and the charging and discharging strategy information determined based on the peak and valley time period information of electricity prices; According to the charging and discharging strategy and the acquired power supply information and power consumption information of the project, based on a preset calculation model, the optimal energy storage capacity of the energy storage system to be allocated is determined.

2. The method for calculating storage capacity according to claim 1, characterized in that: Before determining the charging and discharging strategy for the energy storage system to be allocated based on the acquired location information of the project corresponding to the energy storage system to be allocated and the preset database, the allocation storage capacity calculation method further includes: Count the peak and valley periods of electricity prices in different regions every month; Formulate the charging and discharging strategies for different regions according to the peak and valley periods of electricity prices; The preset database including peak and valley period information of electricity prices in different regions and corresponding charging and discharging strategy information is constructed.

3. The method for calculating storage capacity according to claim 1 or 2, characterized in that: When the project is powered by a power grid, the power supply information includes a power supply billing mode of the power grid, the power supply billing mode includes a capacity billing mode and a demand billing mode, the power consumption information includes operating parameters of a transformer used for the project and historical power load data of the project; the preset calculation model includes a first capacity calculation model and a first demand calculation model; The step of determining the optimal energy storage capacity of the energy storage system to be allocated based on the charging and discharging strategy and the acquired power supply information and power consumption information of the project and a preset calculation model comprises: When the project is powered by the power grid and the power supply billing mode is the capacity billing mode, the first capacity calculation model is used to determine the optimal energy storage capacity of the energy storage system to be allocated based on the operating parameters of the transformer, the historical power load data and the charging and discharging strategy; When the project is powered by the power grid and the power supply billing mode is the demand billing mode, the first demand measurement model is used to determine the optimal energy storage capacity of the energy storage system to be stored based on the historical power load data and the charging and discharging strategy.

4. The method for calculating storage capacity according to claim 3, characterized in that: The operating parameters of the transformer include transformer capacity and transformer coefficient, the charging and discharging strategy includes a daily charging time period and a discharging time period, and the historical power load data includes a first average power load of the project in the charging time period and a second average power load in the discharging time period; The adopting of the first capacity calculation model to determine the optimal energy storage capacity of the energy storage system to be allocated based on the operating parameters of the transformer, the historical power load data and the charging and discharging strategy includes: The first capacity calculation model is adopted to determine the first charging requirement capacity of each charging time period and the first discharging requirement capacity of each discharging time period every day within a first preset period based on the charging time period, the discharging time period, the transformer capacity, the transformer coefficient, the first average power load and the second average power load, and the smallest of all the first charging capacity requirements and the first discharging capacity requirements within the first preset period is taken as the optimal energy storage capacity.

5. The method for calculating storage capacity according to claim 3, characterized in that: The charging and discharging strategy includes a daily charging time period and a discharging time period; the historical power load data includes a first average power consumption peak value of the project in the charging time period and a second average power consumption peak value in the discharging time period, and a maximum demand value of the project in each month in a second preset period; When the project is powered by the power grid and the power supply billing mode is the demand billing mode, the first demand measurement model is used to determine the optimal energy storage capacity of the energy storage system to be allocated based on the historical power load data and the charging and discharging strategy, including: When the project is powered by the power grid, the power supply billing mode is the demand billing mode, and the maximum demand value and the charging and discharging strategy meet the preset demand billing conditions, the first demand calculation model is used to determine the second charging demand capacity of each charging time period every day and the second discharging demand capacity of each discharging time period within the second preset period based on the charging time period, the discharging time period, the first average power consumption peak, the second average power consumption peak and the maximum demand value, and the smallest of all the second charging capacity demands and the second discharging capacity demands within the second preset period is taken as the optimal energy storage capacity.

6. The method for calculating storage capacity according to claim 1 or 2, characterized in that: When the project is powered by a power grid and new energy power supply equipment, the power supply information includes the power supply billing mode of the power grid and the operating parameters of the new energy power supply equipment, and the power supply billing mode includes a capacity billing mode and a demand billing mode; the power consumption information includes the operating parameters of the transformer used for the project and the historical power load data of the project; the preset calculation model includes a second capacity calculation model and a second demand calculation model; The step of determining the optimal energy storage capacity of the energy storage system to be allocated based on the charging and discharging strategy and the acquired power supply information and power consumption information of the project and a preset calculation model comprises: When the project is powered by the power grid and the new energy power supply equipment, and the power supply billing mode is the capacity billing mode, the second capacity calculation model is used to determine the optimal energy storage capacity of the energy storage system to be stored based on the operating parameters of the new energy power supply equipment, the operating parameters of the transformer, the historical power load data and the charging and discharging strategy; When the project is powered by the power grid and the new energy power supply equipment, and the power supply billing mode is the demand billing mode, the second demand measurement model is used to determine the optimal energy storage capacity of the energy storage system to be stored based on the operating parameters of the new energy power supply equipment, the operating parameters of the transformer, the historical power load data and the charging and discharging strategy.

7. The method for calculating storage capacity according to claim 6, characterized in that: The operating parameters of the transformer include transformer capacity and transformer coefficient, and the charging and discharging strategy includes a daily charging time period and a discharging time period; the operating parameters of the new energy power supply equipment include the installed capacity of the new energy power supply equipment, and the first output time proportion of the new energy power supply equipment in the charging time period and the second output time proportion in the discharging time period; The historical power load data includes a first average power load of the project in the charging time period and a second average power load in the discharging time period; The adopting of the second capacity calculation model to determine the optimal energy storage capacity of the energy storage system to be allocated based on the operating parameters of the new energy power supply equipment, the operating parameters of the transformer, the historical power load data and the charging and discharging strategy includes: The second capacity calculation model is adopted to determine the fifth charging demand capacity of each charging time period and the fifth discharging demand capacity of each discharging time period every day within a third preset period based on the charging time period, the discharging time period, the transformer capacity, the transformer coefficient, the installed capacity, the first output time proportion, the second output time proportion, the first average power load and the second average power load, and the smallest of all the fifth charging capacity requirements and the fifth discharging capacity requirements within the third preset period is taken as the optimal energy storage capacity.

8. The method for calculating storage capacity according to claim 6, characterized in that: The operating parameters of the transformer include transformer capacity and transformer coefficient, and the charging and discharging strategy includes a daily charging time period and a discharging time period; the operating parameters of the new energy power supply equipment include the installed capacity of the new energy power supply equipment, and the first output time proportion of the new energy power supply equipment in the charging time period and the second output time proportion in the discharging time period; The historical power load data includes a first average power consumption peak value of the project in the charging time period and a second average power consumption peak value in the discharging time period, and a maximum demand value of the project per month in a second preset period; When the project is powered by the power grid and the new energy power supply equipment, and the power supply billing mode is the demand billing mode, the second demand measurement model is used to determine the optimal energy storage capacity of the energy storage system to be stored based on the operating parameters of the new energy power supply equipment, the operating parameters of the transformer, the historical power load data and the charging and discharging strategy, including: When the project is powered by the power grid and the new energy power supply equipment, the power supply billing mode is the demand billing mode, and the maximum demand value and the charging and discharging strategy meet the preset demand billing conditions, the second demand calculation model is adopted to determine the sixth charging demand capacity of each charging time period every day and the sixth discharging demand capacity of each discharging time period within the fourth preset period based on the charging time period, the discharging time period, the transformer capacity, the transformer coefficient, the installed capacity, the first output time proportion, the second output time proportion, the first average power consumption peak and the second average power consumption peak, and take the smallest of all the sixth charging capacity requirements and the sixth discharging capacity requirements within the fourth preset period as the optimal energy storage capacity.

9. The method for calculating storage capacity according to claim 5 or 8, characterized in that: The preset demand billing condition includes: within a corresponding preset period, the ratio of the number of months in which the maximum demand value appears in the discharge time period to the total number of months in the preset period is greater than a preset threshold.

10. The method for calculating storage capacity according to claim 1 or 2, characterized in that: After determining the charging and discharging strategy for the energy storage system to be allocated, and before determining the optimal energy storage capacity of the energy storage system to be allocated based on the charging and discharging strategy and the acquired power supply information and power consumption information of the project and a preset calculation model, the allocation storage capacity calculation method further includes: Preprocessing the original power consumption information of the project according to the original power consumption information obtained to obtain the power consumption information; The step of preprocessing the original power usage information of the project to obtain the power usage information includes: Determine the median of all original historical power load data of the project that have been obtained within the corresponding preset period, and select the original historical power load data whose deviation ratio relative to the median is less than or equal to the preset ratio as the power consumption information; wherein the deviation ratio is the absolute value of the difference between the original historical power load data and the median, divided by the quotient of the median.

11. A storage capacity calculation device, characterized in that: include: A charging and discharging strategy determination unit, used to determine the charging and discharging strategy for the energy storage system to be allocated based on the acquired location information of the corresponding project of the energy storage system to be allocated and a preset database; wherein the preset database includes peak and valley time period information of electricity prices in different regions and charging and discharging strategy information determined based on the peak and valley time period information of electricity prices; The storage capacity calculation unit is used to determine the optimal energy storage capacity of the energy storage system to be stored according to the charging and discharging strategy and the power supply information and power consumption information of the project that have been acquired, based on a preset calculation model.

12. An electronic device, characterized in that: including memory and processor; The memory is used to store computer programs; The processor is used to implement the storage capacity calculation method according to any one of claims 1 to 10 when executing the computer program.

13. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, and when the computer program is read and executed by a processor, the method for calculating the storage capacity according to any one of claims 1 to 10 is implemented.

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