Energy storage project capacity evaluation method and system

Abstract

The invention discloses an energy storage project capacity evaluation method and system. The method comprises the following steps: acquiring annual time-sharing load data and annual electricity bill information of electricity consumption of a user; performing monthly-dimension and daily-dimension feature analysis on the annual time-sharing load data to obtain time-sharing load feature data; based on the annual time-of-use load data and each time-of-use electricity price period, calculating the average power of each electricity price period monthly; and determining the monthly installed capacity of the energy storage power station according to the annual time-sharing load data, the time-sharing load characteristic data, the annual electricity bill information and the average power of each electricity price period, and comprehensively determining the energy storage project construction capacity in combination with project boundary conditions. According to the invention, refined evaluation of the project capacity of the industrial and commercial energy storage power station can be realized.

Description

Technical Field

[0001] The present invention relates to the technical field of energy storage power stations, and in particular to a method and system for evaluating the capacity of an energy storage project. Background Art

[0002] Industrial and commercial energy storage power stations are behind-the-meter assets built on users' premises. Their operating mode is primarily based on peak-valley arbitrage, so their operating efficiency is closely related to the company's real-time operating load. At the same time, it is necessary to fully utilize the existing distribution capacity without increasing it, so that industrial and commercial energy storage power stations can operate efficiently and generate sustained and stable returns for both companies and investors.

[0003] The existing capacity assessment method for energy storage projects is to evaluate based on the settlement data of the company's monthly electricity bill and evenly distribute the capacity based on the monthly settled electricity consumption. This leads to the following problems: 1. It cannot truly reflect the company's load fluctuations, which brings great uncertainty to the control of the company's maximum demand and creates the risk of raising the company's basic electricity charges; 2. Because monthly electricity bills are aggregated data, the same electricity price period may correspond to multiple time-of-use periods within a 24-hour day. Energy storage power station charging and discharging strategies are set based on 1-hour or even 30-minute periods. This results in the charging and discharging strategies of energy storage power stations not being able to match the load, resulting in "incomplete charging and incomplete discharging" and reducing the operating efficiency of energy storage power stations. 3. In order-based enterprises, the electricity averaging method will result in insufficient capacity of the energy storage power station when the enterprise is in production, and a large amount of power station capacity will be idle when the enterprise is not in production, which will bring great challenges to the operation and revenue of the power station.

[0004] In view of the above shortcomings, there is an urgent need for a method that can achieve a refined assessment of the project capacity of industrial and commercial energy storage power stations. Summary of the Invention

[0005] The present invention aims to provide a method and system for evaluating the capacity of an energy storage project, which can realize a refined evaluation of the project capacity of an industrial and commercial energy storage power station.

[0006] To achieve the above object, the present invention provides the following technical solutions: In a first aspect, an embodiment of the present invention provides a method for evaluating energy storage project capacity, comprising: Obtain the user's annual time-of-use load data and annual electricity bill information; Performing monthly and daily feature analysis on the annual time-sharing load data to obtain time-sharing load feature data; Based on the annual time-of-use load data and each time-of-use electricity price period, calculate the average power of each electricity price period on a monthly basis; The monthly installed capacity of the energy storage power station is determined based on the annual time-of-use load data, time-of-use load characteristic data, annual electricity bill information and the average power of each electricity price period, and the construction capacity of the energy storage project is comprehensively determined in combination with the project boundary conditions.

[0007] Furthermore, the user's annual time-of-use load data and annual electricity bill information are obtained, including: Collect funds for the project and obtain user electricity consumption data; The user's electricity consumption data includes the annual time-sharing load data and the annual electricity bill. The annual time-sharing load data is the user's 96-point load data for the entire year. The annual electricity bill information is obtained based on the annual electricity bill; the annual electricity bill information includes transformer capacity, monthly maximum demand and user electricity bill payment method, and the user electricity bill payment method includes capacity-based billing and demand-based billing.

[0008] Furthermore, the characteristic analysis of the monthly and daily dimensions of the annual time-sharing load data is performed to obtain time-sharing load characteristic data, including: The time-sharing load characteristic data includes daily electricity consumption, monthly electricity consumption, daily electricity consumption characteristic value, monthly electricity consumption characteristic value and daily electricity consumption average value; wherein, the daily electricity consumption characteristic value includes the daily maximum electricity consumption value and the daily minimum electricity consumption value, and the monthly electricity consumption characteristic value includes the monthly maximum electricity consumption value and the monthly minimum electricity consumption value; Performing statistical analysis on the annual time-of-use load data according to daily and monthly dimensions to obtain daily and monthly electricity consumption; Based on daily electricity consumption and monthly electricity consumption, daily electricity consumption characteristic values ​​and monthly electricity consumption characteristic values ​​are extracted respectively; Based on the daily electricity consumption, the daily electricity consumption characteristic value is removed and the average daily electricity consumption is calculated; Wherein, the daily power consumption and the monthly power consumption are:

[0009]

[0010] Where, Indicates daily electricity consumption, Indicates the The power at a point in time, Indicates the first time of collecting electricity load every day A point in time, , Indicates the total time points of daily time-sharing electricity load collection; Indicates monthly electricity consumption, Indicates the Day's The power at a point in time, Indicates the first day of the month sky, , Indicates the actual number of days in the month; The daily power consumption characteristic value and the monthly power consumption characteristic value are:

[0011]

[0012]

[0013]

[0014] Where, Indicates the maximum daily power consumption. Indicates the minimum daily power consumption. Indicates the Daily electricity consumption; Indicates the maximum monthly electricity consumption. Indicates the minimum monthly electricity consumption, Indicates the Monthly electricity consumption, ; The average daily electricity consumption is:

[0015] Where, Indicates the average daily electricity consumption.

[0016] Furthermore, based on the annual time-of-use load data and each time-of-use electricity price period, the average power of each time-of-use electricity price period is calculated on a monthly basis, including: The various time-of-use electricity price periods include peak period, high peak period, flat period and valley period; Matching the annual time-of-use load data with the corresponding time-of-use electricity price period; According to the time-of-use electricity price period, the power consumption in different time-of-use electricity price periods in the annual time-of-use load data is counted, and the average power of each time-of-use electricity price period is calculated after removing the maximum and minimum values, that is, the daily average power of each time-of-use electricity price period is obtained; Based on the daily average power of each time-of-use electricity price period, calculate the monthly average power of each time-of-use electricity price period on a monthly basis; Among them, the daily average power of each time-of-use electricity price period is:

[0017] Where, Indicates time-of-use electricity price period The average daily power, Indicates the time-of-use electricity price period, ; and Respectively represent the time-of-use electricity price period of the day Middle time point and The power at a point in time, , Indicates the total time points of daily time-sharing electricity load collection; The monthly average power for each time-of-use electricity price period is:

[0018] Where, Indicates time-of-use electricity price period The monthly average power, and Respectively represent Tianhedi Time-of-use electricity price period The average power, Indicates the first day of the month sky, , Indicates the actual number of days in the month.

[0019] Furthermore, the monthly installed capacity of the energy storage power station is determined based on the annual time-of-use load data, time-of-use load characteristic data, annual electricity bill information, and the average power of each time-of-use electricity price period. The construction capacity of the energy storage project is comprehensively determined in combination with the project boundary conditions, including: Determine the maximum charging power and monthly installed capacity of the energy storage power station based on the time-of-use load characteristic data, the transformer capacity in the annual electricity bill information, and the average power in each time-of-use electricity price period; Calculate the energy storage capacity of the energy storage power station based on the project construction site information and monthly installed capacity; Based on the monthly installed capacity of the energy storage power station and the energy storage capacity of the energy storage power station, the construction capacity of the energy storage project is calculated with the goal of optimizing the income and rate of return of the energy storage project.

[0020] Furthermore, based on the time-of-use load characteristic data, the transformer capacity in the annual electricity bill information, and the average power in each time-of-use electricity price period, the maximum charging power and monthly installed capacity of the energy storage power station are determined, including: Based on the time-of-use load characteristic data, the transformer capacity in the annual electricity bill information, and the average power in each time-of-use electricity price period, the maximum charging power of the energy storage power station is calculated without exceeding the predetermined load value of the transformer capacity and the maximum demand of the month during the charging process; Based on the maximum charging power and maximum discharging power of the energy storage station, the monthly installed capacity of the energy storage station is calculated, assuming that the discharge power does not exceed the load and reverse power is not generated during the discharge process, and that the upper limit of energy storage safety discharge is met; in, The maximum charging power of the energy storage station is calculated by the following formula: , Where, Indicates the maximum charging power of the energy storage station, Indicates the transformer capacity, Indicates the average power in each time-of-use electricity price period; The maximum discharge power of the energy storage power station is calculated by the following formula: , Where, Indicates the maximum charging power of the energy storage station, Indicates the The power at a point in time, Indicates the first time of collecting electricity load every day A point in time, , Indicates the total time points of daily time-sharing electricity load collection; The monthly installed capacity of the energy storage power station is calculated using the following formula: , Where, Indicates the installed capacity of the energy storage power station in a certain month, Indicates the number of hours of charging period in a certain month, Indicates the number of hours in the discharge period for a certain month.

[0021] Furthermore, the energy storage capacity of the energy storage power station is calculated based on the project construction site information and the monthly installed capacity, including: Conducting an on-site survey of the project construction site to obtain project construction site information, including site area and site location; Based on the site area in the project construction site information and the standard cabinet information, the energy storage capacity of the energy storage power station is calculated; in, The energy storage capacity of the energy storage power station is calculated by the following formula: , Where, Indicates the energy storage capacity of the energy storage power station, Indicates the site area of ​​the project construction, Indicates the floor space of a single standard cabinet. Indicates the rated capacity of a single standard cabinet; The construction capacity of the energy storage project is calculated by the following formula: , Where, Indicates the construction capacity of the energy storage project, Indicates the installed capacity of the energy storage power station in a certain month.

[0022] Furthermore, the method further comprises: Based on the construction capacity of the energy storage project, combined with the various time-of-use electricity price periods and the charge and discharge capacity of the energy storage power station, and taking into account the attenuation rate of the energy storage power station, an optimal charge and discharge strategy is formulated to ensure full charge and discharge conditions; wherein the optimal charge and discharge strategy includes the optimal charge duration and the optimal discharge duration; Among them, the optimal charging and discharging strategy is formulated to ensure full charging and discharging conditions, including: Based on the construction capacity of the energy storage project, combined with the charging rated power and rechargeable capacity of the energy storage station, the optimal daily charging time of the energy storage station is calculated as: , Where, Indicates the optimal daily charging time of the energy storage power station, Indicates the construction capacity of the energy storage project, Indicates the state of charge of the energy storage power station. Indicates the maximum charging power of the energy storage station; Indicates the rated charging power of the energy storage power station; Based on the construction capacity of the energy storage project, combined with the daily average power of each time-of-use electricity price period and the charging rated power of the energy storage station, the optimal daily discharge duration of the energy storage station is calculated as: , Where, Indicates the optimal discharge duration of the energy storage power station every day, Indicates that the user is in the time-of-use electricity price period The average daily power.

[0023] In a second aspect, an embodiment of the present invention provides an energy storage project capacity assessment system, the system comprising an acquisition unit, an analysis unit, a calculation unit, and a determination unit; The acquisition unit is used to obtain the user's annual time-sharing load data and annual electricity bill information; The analysis unit is configured to perform monthly and daily feature analysis on the annual time-sharing load data to obtain time-sharing load feature data; The calculation unit is used to calculate the average power of each electricity price period on a monthly basis based on the annual time-of-use load data and each time-of-use electricity price period; The determination unit is used to determine the monthly installed capacity of the energy storage power station based on the annual time-of-use load data, time-of-use load characteristic data, annual electricity bill information and the average power of each electricity price period, and comprehensively determine the construction capacity of the energy storage project in combination with the project boundary conditions.

[0024] Furthermore, the system further includes a formulation unit, The formulation unit is configured to formulate an optimal charging and discharging strategy to ensure full charging and discharging conditions based on the construction capacity of the energy storage project, in combination with each time-of-use electricity price period and the charge and discharge capacity of the energy storage power station, while taking into account the attenuation rate of the energy storage power station; Among them, the optimal charging and discharging strategy includes optimal charging time and optimal discharging time.

[0025] The technical effects and advantages of the present invention are as follows: By analyzing the user's load data at 96 points throughout the year, the present invention simulates the real operating environment to perform capacity assessment under boundary conditions such as the user's maximum demand, transformer capacity, and time-sharing period distribution, and establishes a multi-correlation evaluation model for equipment, production, electricity prices, etc., to achieve a refined assessment of the construction capacity of industrial and commercial energy storage power station projects.

[0026] Other features and advantages of the present invention will be described in the following description, and in part will become apparent from the description, or will be understood by practicing the present invention. The purpose and other advantages of the present invention can be realized and obtained by the structures pointed out in the description, claims and drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0028] Figure 1 This is a flow chart of a method for energy storage project capacity assessment according to an embodiment of the present invention; Figure 2 This is a schematic diagram of the structure of an energy storage project capacity assessment system according to an embodiment of the present invention; Figure 3 The figure is a schematic structural diagram of an electronic device according to an embodiment of the present invention. DETAILED DESCRIPTION

[0029] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0030] To address the deficiencies of the prior art, the present invention discloses a method for evaluating the capacity of an energy storage project. Figure 1 As shown, the following steps are included: Step S1: Obtain the user's annual time-of-use load data and annual electricity bill information; Step S2: performing monthly and daily feature analysis on the annual time-sharing load data to obtain time-sharing load feature data; Step S3: Based on the annual time-of-use load data and each time-of-use electricity price period, calculate the average power of each electricity price period on a monthly basis; Step S4: Determine the monthly installed capacity of the energy storage power station based on the annual time-of-use load data, time-of-use load characteristic data, annual electricity bill information, and the average power of each electricity price period, and comprehensively determine the construction capacity of the energy storage project in combination with the project boundary conditions.

[0031] In some specific embodiments, step S1: obtaining the user's annual time-of-use load data and annual electricity bill information includes the following: Collect funds for the project and obtain user electricity consumption data, distribution network data, and generated characteristic data. User electricity consumption data includes the user's annual time-of-use load data and annual electricity bill information (i.e., 12 months of electricity bills).

[0032] Among them, the user's annual time-of-use load data for electricity consumption is the user's 96-point load data for the whole year (that is, the electricity load is recorded at 96 time points every 15 minutes every day).

[0033] The annual electricity bill information is obtained based on the annual electricity bill. The annual electricity bill information includes the transformer capacity, the monthly maximum demand and the user's electricity bill payment method. The user's electricity bill payment method includes capacity-based billing and demand-based billing. The present invention will temporarily illustrate capacity-based billing. If the actual project is billed according to demand, the transformer capacity can be directly replaced with the maximum demand.

[0034] Among them, transformer capacity is the core boundary condition for the subsequent calculation of the installed capacity of the energy storage power station. The transformer capacity can also be obtained from the user's distribution network primary wiring diagram.

[0035] In some specific embodiments, before performing step S2, the annual time-sharing load data of the user's electricity consumption collected in step S1 is cleaned to standardize the data integrity and data format of the annual time-sharing load data, and the annual time-sharing load data is corrected in combination with the annual electricity bill information.

[0036] The data cleaning of the annual time-sharing load data includes the following processes: (1) Data format standardization: standardize the format and accuracy of the annual time-of-use load data, with the unified standard of retaining 4 decimal places; (2) Error data processing: remove and complete the error data (such as negative numbers) in the annual time-sharing load data. The completion rules are handled according to the missing data processing method; (3) Abnormal data processing: Data within ±120% of the mean value of the annual time-sharing load data are marked as abnormal data and revised according to the ±120% rule; (4) Missing data processing: The missing data in the annual time-sharing load data are supplemented based on the average value of the data before and after the missing data; if there are continuous missing data, the average value of the pair of data closest to the previous and next data is used as the middle missing data.

[0037] In some specific embodiments, step S2: performing monthly and daily feature analysis on the annual time-sharing load data to obtain time-sharing load feature data includes the following: The time-sharing load characteristic data includes daily electricity consumption, monthly electricity consumption, daily electricity consumption characteristic value, monthly electricity consumption characteristic value and daily electricity consumption average value; wherein, the daily electricity consumption characteristic value includes the daily maximum electricity consumption and the daily minimum electricity consumption, and the monthly electricity consumption characteristic value includes the monthly maximum electricity consumption and the monthly minimum electricity consumption.

[0038] (1) Statistical analysis is performed on the annual time-sharing load data according to the daily and monthly dimensions to obtain the daily and monthly power consumption:

[0039]

[0040] Where, Indicates daily electricity consumption, Indicates the The power at a point in time, Indicates the first time of collecting electricity load every day A point in time, , Indicates the total time points of daily time-sharing power load collection. In this embodiment, ; Indicates monthly electricity consumption, Indicates the Day's The power at a point in time, Indicates the first day of the month sky, , Indicates the actual number of days in the month.

[0041] (2) Based on daily electricity consumption and monthly electricity consumption, the daily electricity consumption characteristic value and monthly electricity consumption characteristic value are extracted as follows:

[0042]

[0043]

[0044]

[0045] Where, Indicates the maximum daily power consumption. Indicates the minimum daily power consumption. Indicates the Daily electricity consumption; Indicates the maximum monthly electricity consumption. Indicates the minimum monthly electricity consumption, Indicates the Monthly electricity consumption, .

[0046] (3) Based on the daily electricity consumption, the daily electricity consumption characteristic value is removed and the average daily electricity consumption is calculated as:

[0047] Where, The average daily electricity consumption is Indicates the Daily electricity consumption, Indicates the first day of the month sky, , Indicates the actual number of days in the month.

[0048] In some specific embodiments, step S3: based on the annual time-of-use load data and each time-of-use electricity price period, calculating the average power of each electricity price period on a monthly basis, includes the following: The time-of-use electricity price periods include peak period, high period, flat period, and low period. For example, the time-of-use electricity price periods in Chongqing are: peak period (11:00-17:00, 20:00-22:00), low period (00:00-08:00), and flat period (08:00-11:00, 17:00-20:00, 22:00-24:00).

[0049] Match the annual time-of-use load data with the corresponding time-of-use electricity price period (i.e., classify each 15-minute load point into the corresponding time-of-use electricity price period); according to the time-of-use electricity price period, count the power consumption of different time-of-use electricity price periods in the annual time-of-use load data, and calculate the average power of each time-of-use electricity price period after removing the maximum and minimum values, that is, obtain the daily average power of each time-of-use electricity price period as:

[0050] Where, Indicates time-of-use electricity price period The average daily power, ; and Respectively represent the time-of-use electricity price period of the day Middle time point and The power at a point in time, , Indicates the total time points of daily time-sharing electricity load collection.

[0051] Based on the daily average power of each time-of-use electricity price period, the monthly average power of each time-of-use electricity price period is calculated as follows:

[0052] Where, Indicates time-of-use electricity price period The monthly average power, and Respectively represent Tianhedi Time-of-use electricity price period of the day The average power, Indicates the first day of the month sky, Indicates the actual number of days in the month.

[0053] In some specific embodiments, step S4: determining the monthly installed capacity of the energy storage power station based on the annual time-of-use load data, time-of-use load characteristic data, annual electricity bill information, and the average power of each electricity price period, and comprehensively determining the energy storage project construction capacity in combination with the project boundary conditions, includes the following: Step S4.1: Determine the maximum charging power and monthly installed capacity of the energy storage power station based on the time-of-use load characteristic data, the transformer capacity in the annual electricity bill information, and the average power in each time-of-use electricity price period; specifically, including: (1) Based on the time-of-use load characteristic data, the transformer capacity in the annual electricity bill information, and the average power in each time-of-use electricity price period, the maximum charging power of the energy storage station (i.e., the upper limit of the charging power of the energy storage station) is calculated as follows: , Where, Indicates the maximum charging power of the energy storage station, Indicates the transformer capacity, Indicates the average power in each time-of-use electricity price period, Indicates the time-of-use electricity price period.

[0054] (2) Based on the maximum charging power and maximum discharging power of the energy storage station, and assuming that the discharge power does not exceed the load to form reverse power transmission during the discharge process and that the upper limit of energy storage safety discharge is met, the monthly installed capacity of the energy storage station is calculated as follows: , Where, Indicates the installed capacity of the energy storage power station in a certain month, Indicates the maximum charging power of the energy storage station, Indicates the number of hours of charging period in a certain month, Indicates the maximum charging power of the energy storage station, Indicates the number of hours in a discharge period in a certain month; The maximum charging power of the energy storage station is calculated by the following formula: , Where, Indicates the maximum charging power of the energy storage station, Indicates the transformer capacity, Indicates the average power in each time-of-use electricity price period; The maximum discharge power of the energy storage power station is calculated by the following formula: , Where, Indicates the maximum charging power of the energy storage station, Indicates the The power at a point in time, Indicates the first time of collecting electricity load every day A point in time, , Indicates the total time points of daily time-sharing electricity load collection.

[0055] Step S4.2: Calculate the energy storage capacity of the energy storage power station based on the project construction site information and monthly installed capacity, including: Conducting an on-site survey of the project construction site to obtain project construction site information, including site area and site location; Based on the site area in the project construction site information and the standard cabinet information, the energy storage capacity of the energy storage power station is calculated as: , Where, Indicates the energy storage capacity of the energy storage power station, Indicates the site area of ​​the project construction, Indicates the floor space of a single standard cabinet. Indicates the rated capacity of a single standard cabinet.

[0056] In this embodiment, the energy storage capacity of the energy storage power station is calculated by determining the project construction site information and calculating the data of the energy storage battery according to conditions such as the project construction site area and location.

[0057] Step S4.3: Based on the monthly installed capacity of the energy storage power station and the energy storage capacity of the energy storage power station, with the goal of optimizing the revenue and rate of return of the energy storage project, calculate the construction capacity of the energy storage project as: , Where, Indicates the construction capacity of the energy storage project, Indicates the installed capacity of the energy storage power station in a certain month.

[0058] In this embodiment, the energy storage project construction capacity is determined based on the monthly installed capacity (i.e., the installed capacity of the energy storage power station in each month), combined with boundary conditions such as the project construction site area, safety distance, load, and visible height, while comprehensively considering the guarantee of energy storage project revenue and rate of return.

[0059] In some specific embodiments, after step S4 is executed, based on the construction capacity of the energy storage project, combined with each time-of-use electricity price period and the chargeable and dischargeable capacity of the energy storage power station, and taking into account the attenuation rate of the energy storage power station, an optimal charge and discharge strategy is formulated to ensure full charge and discharge conditions (i.e., under the premise of being able to fully charge and discharge, a charge and discharge plan is made for the energy storage power station at a stable charge and discharge power during the charge and discharge period); the strategy includes the following: The optimal charge and discharge strategy includes an optimal charge time and an optimal discharge time.

[0060] (1) Based on the construction capacity of the energy storage project, combined with the charging rated power and rechargeable capacity of the energy storage station, the optimal daily charging time of the energy storage station is calculated as: , Where, Indicates the optimal daily charging time of the energy storage power station, Indicates the construction capacity of the energy storage project, Indicates the current state of charge of the energy storage system, that is, the size of the available capacity of the system. Indicates the maximum charging power of the energy storage station, that is, the rated charging power of the energy storage station; Indicates the rated charging power of the energy storage power station.

[0061] (2) Based on the construction capacity of the energy storage project, combined with the daily average power of each time-of-use electricity price period and the charging rated power of the energy storage power station, the optimal daily discharge duration of the energy storage power station is calculated as: , Where, Indicates the optimal discharge duration of the energy storage power station every day, Indicates the construction capacity of the energy storage project, Indicates the state of charge of the energy storage power station. Indicates that the user is in the time-of-use electricity price period The average daily power, Indicates the time-of-use electricity price period, Indicates the rated charging power of the energy storage power station.

[0062] (3) After formulating the optimal charge and discharge strategy to ensure full charge and discharge conditions, verify the optimal charge and discharge strategy, including: Based on the construction capacity of the energy storage project and the number of hours of the charging period, the current charging power and discharging power of the energy storage station are calculated as follows: , , Where, Indicates the current charging power of the energy storage station. Indicates the current discharge power of the energy storage power station, Indicates the construction capacity of the energy storage project, Indicates the state of charge of the energy storage power station. Indicates the number of hours in the charging and discharging period (i.e., the number of hours in the off-peak electricity price period); If the current charging power of the energy storage station Less than the calculated energy storage station during the charging period Maximum charging power , the current discharge power of the energy storage station Less than the rated power of the energy storage power station And the current discharge power of the energy storage station Less than the energy storage station during the charging period Maximum discharge power When , it is determined that the optimal charge and discharge strategy is correct.

[0063] Based on the same inventive concept, the embodiment of the present invention discloses a system for evaluating the capacity of an energy storage project. Figure 2 As shown, including: The acquisition unit is used to obtain the user's annual time-sharing load data and annual electricity bill information; The analysis unit is configured to perform monthly and daily feature analysis on the annual time-sharing load data to obtain time-sharing load feature data; The calculation unit is used to calculate the average power of each electricity price period on a monthly basis based on the annual time-of-use load data and each time-of-use electricity price period; The determination unit is used to determine the monthly installed capacity of the energy storage power station based on the annual time-of-use load data, time-of-use load characteristic data, annual electricity bill information and the average power of each electricity price period, and comprehensively determine the construction capacity of the energy storage project in combination with the project boundary conditions.

[0064] In some specific embodiments, the system further includes a formulation unit, The formulation unit is configured to formulate an optimal charging and discharging strategy to ensure full charging and discharging conditions based on the construction capacity of the energy storage project, in combination with each time-of-use electricity price period and the charge and discharge capacity of the energy storage power station, while taking into account the attenuation rate of the energy storage power station; Among them, the optimal charging and discharging strategy includes optimal charging time and optimal discharging time.

[0065] Regarding the system in the above embodiment, the specific manner in which each unit module performs operations has been described in detail in the embodiment of the method, and will not be elaborated here.

[0066] Based on the same inventive concept, an embodiment of the present invention further provides an electronic device, the structure of which is as follows: Figure 3 As shown, it includes a memory, a processor and a computer program stored in the memory, and the processor executes the computer program or instructions to implement the aforementioned energy storage project capacity assessment method.

[0067] Based on the same inventive concept, an embodiment of the present invention further provides a computer storage medium, wherein the computer storage medium stores a computer program or instructions, and when the computer program or instructions are executed by a processor, the aforementioned energy storage project capacity assessment method is implemented.

[0068] Based on the same inventive concept, an embodiment of the present invention further provides a computer program product, including a computer program or instructions, which implements the aforementioned energy storage project capacity assessment method when executed by a processor.

[0069] Finally, it should be noted that the above is only a preferred embodiment of the present invention and is not intended to limit the present invention. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art can still modify the technical solutions described in the aforementioned embodiments or make equivalent substitutions for some of the technical features therein. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the scope of protection of the present invention.

Claims

1. A method for evaluating energy storage project capacity, characterized in that: include: Obtain the user's annual time-of-use load data and annual electricity bill information; Performing monthly and daily feature analysis on the annual time-sharing load data to obtain time-sharing load feature data; Based on the annual time-of-use load data and each time-of-use electricity price period, calculate the average power of each electricity price period on a monthly basis; The monthly installed capacity of the energy storage power station is determined based on the annual time-of-use load data, time-of-use load characteristic data, annual electricity bill information and the average power of each electricity price period, and the construction capacity of the energy storage project is comprehensively determined in combination with the project boundary conditions.

2. The energy storage project capacity assessment method according to claim 1, characterized in that: Obtain the user's annual time-of-use load data and annual electricity bill information, including: Collect funds for the project and obtain user electricity consumption data; The user's electricity consumption data includes the annual time-sharing load data and the annual electricity bill. The annual time-sharing load data is the user's 96-point load data for the entire year. The annual electricity bill information is obtained based on the annual electricity bill; the annual electricity bill information includes transformer capacity, monthly maximum demand and user electricity bill payment method, and the user electricity bill payment method includes capacity-based billing and demand-based billing.

3. A method for evaluating energy storage project capacity according to claim 1 or 2, characterized in that: Performing monthly and daily feature analysis on the annual time-sharing load data to obtain time-sharing load feature data includes: The time-sharing load characteristic data includes daily electricity consumption, monthly electricity consumption, daily electricity consumption characteristic value, monthly electricity consumption characteristic value and daily electricity consumption average value; wherein, the daily electricity consumption characteristic value includes the daily maximum electricity consumption value and the daily minimum electricity consumption value, and the monthly electricity consumption characteristic value includes the monthly maximum electricity consumption value and the monthly minimum electricity consumption value; Performing statistical analysis on the annual time-of-use load data according to daily and monthly dimensions to obtain daily and monthly electricity consumption; Based on daily electricity consumption and monthly electricity consumption, daily electricity consumption characteristic values ​​and monthly electricity consumption characteristic values ​​are extracted respectively; Based on the daily electricity consumption, the daily electricity consumption characteristic value is removed and the average daily electricity consumption is calculated; Wherein, the daily power consumption and the monthly power consumption are: Where, Indicates daily electricity consumption, Indicates the The power at a point in time, Indicates the first time of collecting electricity load every day A point in time, , Indicates the total time points of daily time-sharing electricity load collection; Indicates monthly electricity consumption, Indicates the Day's The power at a point in time, Indicates the first day of the month sky, , Indicates the actual number of days in the month; The daily power consumption characteristic value and the monthly power consumption characteristic value are: Where, Indicates the maximum daily power consumption. Indicates the minimum daily power consumption. Indicates the Daily electricity consumption; Indicates the maximum monthly electricity consumption. Indicates the minimum monthly electricity consumption, Indicates the Monthly electricity consumption, ; The average daily electricity consumption is: Where, Indicates the average daily electricity consumption.

4. A method for evaluating energy storage project capacity according to claim 1 or 2, characterized in that: Based on the annual time-of-use load data and each time-of-use electricity price period, the average power of each time-of-use electricity price period is calculated on a monthly basis, including: Each time-of-use electricity price period includes a peak period, a high peak period, a flat period and a low valley period; Matching the annual time-of-use load data with the corresponding time-of-use electricity price period; According to the time-of-use electricity price period, the power consumption in different time-of-use electricity price periods in the annual time-of-use load data is counted, and the average power of each time-of-use electricity price period is calculated after removing the maximum and minimum values, that is, the daily average power of each time-of-use electricity price period is obtained; Based on the daily average power of each time-of-use electricity price period, calculate the monthly average power of each time-of-use electricity price period on a monthly basis; Among them, the daily average power of each time-of-use electricity price period is: Where, Indicates time-of-use electricity price period The average daily power, Indicates the time-of-use electricity price period, ; and Respectively represent the time-of-use electricity price period of the day Middle time point and The power at a point in time, , Indicates the total time points of daily time-sharing electricity load collection; The monthly average power for each time-of-use electricity price period is: Where, Indicates time-of-use electricity price period The monthly average power, and Respectively represent Tianhedi Time-of-use electricity price period of the day The average power, Indicates the first day of the month sky, , Indicates the actual number of days in the month.

5. The energy storage project capacity assessment method according to claim 1, characterized in that: The monthly installed capacity of the energy storage power station is determined based on the annual time-of-use load data, time-of-use load characteristics data, annual electricity bill information, and the average power of each time-of-use electricity price period. The construction capacity of the energy storage project is comprehensively determined in combination with the project boundary conditions, including: Determine the maximum charging power and monthly installed capacity of the energy storage power station based on the time-of-use load characteristic data, the transformer capacity in the annual electricity bill information, and the average power in each time-of-use electricity price period; Calculate the energy storage capacity of the energy storage power station based on the project construction site information and monthly installed capacity; Based on the monthly installed capacity of the energy storage power station and the energy storage capacity of the energy storage power station, the construction capacity of the energy storage project is calculated with the goal of optimizing the income and rate of return of the energy storage project.

6. The energy storage project capacity assessment method according to claim 5, characterized in that: Based on the time-of-use load characteristic data, the transformer capacity in the annual electricity bill information, and the average power in each time-of-use electricity price period, the maximum charging power and monthly installed capacity of the energy storage power station are determined, including: Based on the time-of-use load characteristic data, the transformer capacity in the annual electricity bill information, and the average power in each time-of-use electricity price period, the maximum charging power of the energy storage power station is calculated without exceeding the predetermined load value of the transformer capacity and the maximum demand of the month during the charging process; Based on the maximum charging power and maximum discharging power of the energy storage station, the monthly installed capacity of the energy storage station is calculated, assuming that the discharge power does not exceed the load during the discharge process, resulting in reverse power transmission, and that the upper limit of energy storage safety discharge is met. in, The maximum charging power of the energy storage station is calculated by the following formula: ， Where, Indicates the maximum charging power of the energy storage station, Indicates the transformer capacity, Indicates the average power in each time-of-use electricity price period; The maximum discharge power of the energy storage power station is calculated by the following formula: ， Where, Indicates the maximum charging power of the energy storage station, Indicates the The power at a point in time, Indicates the first time of collecting electricity load every day A point in time, , Indicates the total time points of daily time-sharing electricity load collection; The monthly installed capacity of the energy storage power station is calculated using the following formula: ， Where, Indicates the installed capacity of the energy storage power station in a certain month, Indicates the number of hours of charging period in a certain month, Indicates the number of hours in the discharge period for a certain month.

7. A method for evaluating energy storage project capacity according to claim 5 or 6, characterized in that: Calculate the energy storage capacity of the energy storage power station based on the project construction site information and monthly installed capacity, including: Conducting an on-site survey of the project construction site to obtain project construction site information, including site area and site location; Based on the site area in the project construction site information and the standard cabinet information, the energy storage capacity of the energy storage power station is calculated; in, The energy storage capacity of the energy storage power station is calculated by the following formula: ， Where, Indicates the energy storage capacity of the energy storage power station, Indicates the site area of ​​the project construction, Indicates the floor space of a single standard cabinet. Indicates the rated capacity of a single standard cabinet; The construction capacity of the energy storage project is calculated by the following formula: ， Where, Indicates the construction capacity of the energy storage project, Indicates the installed capacity of the energy storage power station in a certain month.

8. The energy storage project capacity assessment method according to claim 1, characterized in that: The method further comprises: Based on the construction capacity of the energy storage project, combined with the various time-of-use electricity price periods and the charge and discharge capacity of the energy storage power station, and taking into account the attenuation rate of the energy storage power station, an optimal charge and discharge strategy is formulated to ensure full charge and discharge conditions; wherein the optimal charge and discharge strategy includes the optimal charge duration and the optimal discharge duration; Among them, the optimal charging and discharging strategy is formulated to ensure full charging and discharging conditions, including: Based on the construction capacity of the energy storage project, combined with the charging rated power and rechargeable capacity of the energy storage station, the optimal daily charging time of the energy storage station is calculated as: ， Where, Indicates the optimal daily charging time of the energy storage power station, Indicates the construction capacity of the energy storage project, Indicates the state of charge of the energy storage power station. Indicates the maximum charging power of the energy storage station; Indicates the rated charging power of the energy storage power station; Based on the construction capacity of the energy storage project, combined with the daily average power of each time-of-use electricity price period and the charging rated power of the energy storage station, the optimal daily discharge duration of the energy storage station is calculated as: ， Where, Indicates the optimal discharge duration of the energy storage power station every day, Indicates that the user is in the time-of-use electricity price period The average daily power.

9. A system for evaluating energy storage project capacity, characterized in that: The system includes an acquisition unit, an analysis unit, a calculation unit, and a determination unit; The acquisition unit is used to obtain the user's annual time-sharing load data and annual electricity bill information; The analysis unit is configured to perform monthly and daily feature analysis on the annual time-sharing load data to obtain time-sharing load feature data; The calculation unit is used to calculate the average power of each electricity price period on a monthly basis based on the annual time-of-use load data and each time-of-use electricity price period; The determination unit is used to determine the monthly installed capacity of the energy storage power station based on the annual time-of-use load data, time-of-use load characteristic data, annual electricity bill information and the average power of each electricity price period, and comprehensively determine the construction capacity of the energy storage project in combination with the project boundary conditions.

10. The energy storage project capacity assessment system according to claim 9, characterized in that: The system further comprises a formulation unit, The formulation unit is configured to formulate an optimal charging and discharging strategy to ensure full charging and discharging conditions based on the construction capacity of the energy storage project, in combination with each time-of-use electricity price period and the chargeable and dischargeable capacity of the energy storage power station, while taking into account the attenuation rate of the energy storage power station; Among them, the optimal charging and discharging strategy includes optimal charging time and optimal discharging time.

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