Energy storage configuration method, system and equipment considering full life cycle benefit and medium

Abstract

The invention provides an energy storage configuration method, system, equipment and medium considering full life cycle benefit, and the method comprises the steps: carrying out the energy storage effective utilization analysis of an obtained annual power utilization data set of an energy storage user to generate an effective daily energy storage value sequence, and carrying out the ascending arrangement of the effective daily energy storage value sequence according to the effective daily energy storage value; obtaining an effective day corresponding to a median in the sequence as a typical day, and constructing an energy storage full life cycle benefit model according to energy storage charge and discharge data of each energy storage cycle period in the typical day, and obtained energy storage full-year participation demand side response data and energy storage full-year power failure loss reduction data; and solving the energy storage full life cycle benefit model to obtain an optimal capacity configuration strategy including the optimal configuration capacity and the optimal energy storage charging and discharging power. On the basis of improving the typical day screening accuracy, the investment cost and the application value of the energy storage system are effectively balanced, and then the reasonability of energy storage capacity configuration and the utilization rate of the energy storage system are improved.

Description

Technical Field

[0001] The present invention relates to the field of electrochemical energy storage technology, and in particular to an energy storage configuration method, system, equipment and medium that take full life cycle benefits into consideration. Background Art

[0002] Electrochemical energy storage is a new type of energy storage system that can "store electricity" during periods of low grid electricity prices and "discharge" during periods of high grid electricity prices, reducing users' electricity costs through a "peak shaving and valley filling" operation mode. The capacity configuration of the energy storage system has a crucial impact on its application effect: if the energy storage capacity is too large, although it can effectively improve the charging and discharging capabilities, its investment is high, and due to the imbalance of daily electricity load, it will cause too much redundancy and low utilization; if the energy storage capacity is too small, although a higher utilization rate can be achieved, the charging and discharging volume each time is small, and the overall investment value is reduced.

[0003] The existing energy storage capacity configuration method usually determines the typical day based on the daily average power consumption found by the annual power load, and then configures it according to the peak-valley load corresponding to a peak-valley time period within the typical day. Although this method can guide the configuration of energy storage capacity to a certain extent, it still has major application defects: 1) Although energy storage is "valley charging and peak discharge", the actual daily power consumption also includes the power consumption during the flat period. If the impact of the power consumption during the flat period is not considered, it will inevitably lead to the selection of the typical day based on the average power consumption. Reliable and inaccurate; 2) In the specific configuration, the full life cycle benefits of the energy storage system are not comprehensively considered, which makes it difficult to balance the investment cost and application value of the energy storage system. Therefore, it is urgent to provide an energy storage capacity configuration method that ensures the reliability of typical day screening and can effectively balance the investment cost and application value. Summary of the invention

[0004] The purpose of the present invention is to provide an energy storage configuration method that takes into account the benefits of the entire life cycle. Typical days are selected by performing energy storage effective utilization value analysis on the annual electricity consumption data set, and based on the energy storage charging and discharging data of each energy storage cycle in the typical day, as well as the energy storage's participation in demand-side response data throughout the year and the energy storage's reduction in power outage losses throughout the year, an energy storage life cycle benefit model is constructed to obtain the optimal capacity configuration strategy. On the basis of improving the accuracy of typical day screening, it can effectively balance the investment cost and application value of the energy storage system, thereby improving the rationality of energy storage capacity configuration and the utilization rate of the energy storage system.

[0005] In order to achieve the above objectives, it is necessary to provide an energy storage configuration method, system, computer equipment and storage medium that take into account the benefits of the entire life cycle in response to the above technical problems.

[0006] In a first aspect, an embodiment of the present invention provides an energy storage configuration method considering full life cycle benefits, the method comprising the following steps: Obtaining an annual electricity consumption data set of energy storage users, and performing an energy storage effective utilization analysis on the annual electricity consumption data set to generate a corresponding effective daily energy storage value sequence; Arrange the effective daily energy storage value sequence in ascending order according to the effective daily energy storage value, obtain the median of the sorted effective daily energy storage value sequence, and take the effective day corresponding to the median as a typical day; Based on the energy storage charging and discharging data of each energy storage cycle in the typical day, as well as the acquired data on energy storage's participation in demand-side response throughout the year and energy storage's reduction in power outage losses throughout the year, a full life cycle benefit model for energy storage is constructed; Solve the energy storage life cycle benefit model to obtain an optimal capacity configuration strategy; the optimal capacity configuration strategy includes an optimal configuration capacity and an optimal energy storage charging and discharging power.

[0007] Furthermore, the step of performing energy storage effective utilization analysis on the annual electricity consumption data set to generate a corresponding effective daily energy storage value sequence includes: Obtaining the daily basic load power consumption of the energy storage user, and screening the annual power consumption data set for valid data according to the daily basic load power consumption, to generate a corresponding annual energy storage valid day set; According to the date sequence, the power consumption corresponding to all the energy storage effective days in the annual energy storage effective day set is sorted to obtain the corresponding annual effective day power sequence; According to the total discharge amount and the total charge amount corresponding to each effective daily electricity quantity in the annual effective daily electricity quantity sequence, a corresponding effective daily energy storage value sequence is generated.

[0008] Furthermore, the step of obtaining the daily basic load power consumption of the energy storage user, and filtering the annual power consumption data set for valid data according to the daily basic load power consumption, to generate the corresponding annual energy storage valid day set includes: Obtaining the power of each non-production load and the corresponding load factor of the energy storage user, and obtaining the daily basic load power consumption according to all the non-production load powers and the corresponding load factors; The power data information of the daily power consumption in the annual power consumption data set that is greater than the daily basic load power consumption is obtained, and the annual energy storage effective day set is generated according to the power data information.

[0009] Furthermore, the energy storage charging and discharging data includes charging time, power load during the charging period, electricity price during the charging period, discharging time, power load during the discharging period and electricity price during the discharging period; the energy storage's participation in demand-side response data throughout the year includes the number of responses, the duration of each response and the corresponding response power; the energy storage's data on reducing power outage losses throughout the year includes the number of power outage losses reduced by energy storage power supply, the duration of each power supply and the corresponding power supply power; The step of constructing the energy storage life cycle benefit model based on the energy storage charging and discharging data of each energy storage cycle in the typical day, as well as the acquired energy storage participation in demand-side response data throughout the year and energy storage reduction in power outage loss data throughout the year includes: According to the charging time and discharging time in each energy storage charging and discharging data, the energy storage charging and discharging design time is obtained, and according to the energy storage charging and discharging design time, the unit power cost of the energy storage converter and the unit capacity cost of the energy storage, an energy storage investment cost model is constructed; Based on the linear relationship between energy storage operation and maintenance cost and energy storage capacity, an energy storage annual operation and maintenance cost model is constructed; According to the charging period power load, charging period electricity price, discharging period power load and discharging period electricity price in each energy storage charging and discharging data, a peak-shaving and valley-filling profit model for energy storage is constructed; According to the data of the energy storage participating in the demand-side response throughout the year and the data of the energy storage reducing the power outage loss throughout the year, respectively, a corresponding energy storage demand response benefit model and an energy storage power outage loss reduction model are constructed; The energy storage peak-shaving and valley-filling profit model, the energy storage demand response profit model and the energy storage power outage loss reduction model are integrated to obtain an energy storage annual profit model; The energy storage full life cycle net present value is calculated based on the energy storage annual revenue model, the energy storage annual operation and maintenance cost model and the energy storage investment cost model to obtain the energy storage full life cycle benefit model.

[0010] Furthermore, the energy storage investment cost model is expressed as: In the formula, in, Represents the initial investment cost of the energy storage system; , and They represent the unit power cost of energy storage converter, the unit capacity cost of energy storage and the unit capacity cost of energy storage project construction respectively; and Respectively represent energy storage power and energy storage capacity; Indicates the design time of energy storage charging and discharging; and They represent the i-th charging and discharging time in the effective day, respectively. ; N represents the total number of energy storage cycles in a typical day.

[0011] Furthermore, the energy storage annual revenue model is expressed as: In the formula, in, represents the annual revenue of energy storage; , and They represent the benefits of energy storage for peak load reduction, energy storage for demand response, and energy storage for reducing power outage losses. and Respectively represent the charging and discharging amounts of the i-th energy storage cycle; and They respectively represent the charging time and power load of the charging period in the i-th energy storage cycle; and They respectively represent the discharge duration and power load of the discharge period in the i-th energy storage cycle; Indicates energy storage capacity; and Respectively represent the transformer's installed capacity and maximum load factor; and They represent the electricity price during the discharge period and the electricity price during the charging period of the i-th energy storage cycle respectively; Indicates the number of responses; and Respectively represent Response duration and response power of the participant response; Indicates the response unit electricity subsidy; It means that energy storage power supply reduces the number of power outage losses; and Respectively represent Secondary energy storage power supply reduces the power outage duration and power supply; Indicates the unit power loss coefficient.

[0012] Furthermore, the energy storage life cycle benefit model is expressed as: in, Indicates the benefits of energy storage throughout its life cycle; represents the annual revenue of energy storage; Indicates the year of energy storage operation; It represents the capacity decay coefficient of energy storage as the operating years increase; and Respectively represent the annual operation and maintenance cost of the energy storage system and the initial investment cost of the energy storage system; Indicates the total operating years of the energy storage; Represents the annual net benefit discount rate of energy storage.

[0013] In a second aspect, an embodiment of the present invention provides an energy storage configuration system that takes into account full life cycle benefits, the system comprising: A data processing module is used to obtain an annual electricity consumption data set of energy storage users, and perform energy storage effective utilization analysis on the annual electricity consumption data set to generate a corresponding effective daily energy storage value sequence; A typical day screening module is used to sort the effective day energy storage value sequence in ascending order according to the effective day energy storage value, and obtain the median of the sorted effective day energy storage value sequence, and take the effective day corresponding to the median as a typical day; An optimization model building module is used to build a full life cycle benefit model for energy storage based on the energy storage charging and discharging data of each energy storage cycle in the typical day, as well as the acquired energy storage participation in demand-side response data throughout the year and energy storage reduction in power outage loss data throughout the year; The configuration strategy acquisition module is used to solve the energy storage full life cycle benefit model to obtain the optimal capacity configuration strategy; the optimal capacity configuration strategy includes the optimal configuration capacity and the optimal energy storage charging and discharging power.

[0014] In a third aspect, an embodiment of the present invention further provides a computer device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of the above method when executing the computer program.

[0015] In a fourth aspect, an embodiment of the present invention further provides a computer-readable storage medium having a computer program stored thereon, wherein the computer program implements the steps of the above method when executed by a processor.

[0016] The present application provides a method, system, device and medium for energy storage configuration that takes into account the benefits of the entire life cycle. The method is used to obtain an annual electricity consumption data set of energy storage users, perform energy storage effective utilization analysis on the annual electricity consumption data set to generate a corresponding effective daily energy storage value sequence, arrange the effective daily energy storage value sequence in ascending order according to the effective daily energy storage value, and obtain the median of the sorted effective daily energy storage value sequence, and use the effective day corresponding to the median as a typical day. Then, based on the energy storage charging and discharging data of each energy storage cycle within the typical day, as well as the acquired energy storage participation in demand-side response data throughout the year and the energy storage power outage loss reduction data throughout the year, a full life cycle benefit model for energy storage is constructed, and the full life cycle benefit model for energy storage is solved to obtain a technical solution for the optimal capacity configuration strategy including the optimal configuration capacity and the optimal energy storage charging and discharging power. Compared with the existing technology, the energy storage configuration method that considers the benefits of the entire life cycle can not only effectively improve the accuracy of typical day screening by analyzing the effective utilization value of energy storage on the annual electricity consumption data set to screen typical days, but also can build an energy storage life cycle benefit model based on the energy storage charging and discharging data of each energy storage cycle in the typical day, as well as the energy storage's participation in demand-side response data throughout the year and the energy storage's reduction in power outage losses throughout the year to obtain the optimal capacity configuration strategy, effectively balancing the investment cost and application value of the energy storage system, thereby improving the rationality of energy storage capacity configuration and the utilization rate of the energy storage system. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 is a flow chart of an energy storage configuration method considering full life cycle benefits in an embodiment of the present invention; Figure 2 is a structural schematic diagram of an energy storage configuration system considering full life cycle benefits in an embodiment of the present invention; Figure 3 It is a diagram of the internal structure of a computer device in an embodiment of the present invention. DETAILED DESCRIPTION

[0018] In order to make the purpose, technical scheme and beneficial effects of the present application clearer, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. Obviously, the embodiments described below are part of the embodiments of the present invention and are only used to illustrate the present invention, but are not used to limit the scope of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0019] The energy storage configuration method considering the benefits of the entire life cycle provided by the present invention can be understood as being based on the fact that the typical day screening in the existing energy storage capacity configuration method is not accurate and reliable enough, and the investment cost and application value of the energy storage system are not considered, resulting in the inability to guarantee the optimal energy storage utilization rate. Instead, a method is proposed to screen typical days by performing energy storage effective utilization value analysis on the annual electricity consumption data set, and to count the energy storage charging amount and energy storage discharging amount of each energy storage cycle based on the duration of different valley price time periods and peak price time periods within the typical day and the corresponding load curves. Combined with the acquired data on energy storage participating in demand-side response throughout the year and the data on energy storage reducing power outage losses throughout the year, a model for the benefits of energy storage throughout the life cycle is constructed to obtain an energy storage capacity configuration optimization method for obtaining the optimal capacity configuration strategy. The method is not only applicable to electrochemical energy storage, but can also be used as a reference for other types of energy storage technologies and systems.

[0020] In one embodiment, Figure 1 As shown, a method for energy storage configuration considering the full life cycle benefits is provided, including the following steps: S11. Obtain the annual electricity consumption data set of energy storage users, and perform energy storage effective utilization analysis on the annual electricity consumption data set to generate a corresponding effective daily energy storage value sequence; wherein, energy storage users can be understood as corporate users who reduce electricity costs by configuring energy storage systems, and the corresponding annual electricity consumption data set can be understood as one year of electricity consumption data of energy storage users obtained on a daily basis. In the actual production process, the daily electricity consumption of energy storage users includes basic load electricity consumption and / or production load electricity consumption: basic load electricity consumption can be understood as the power consumption corresponding to the load when the enterprise is not in production or the production equipment is under maintenance, including the basic electricity generated by office loads, equipment standby loads, etc.; production load electricity consumption can be understood as the power consumption corresponding to the equipment load during the enterprise's production and manufacturing, including the production electricity generated by motors, air compressors, production line equipment, etc.; in general, production load electricity consumption will be greater than basic load electricity consumption.

[0021] The effective daily energy storage value sequence in this embodiment can be understood as being based on the daily basic load electricity consumption of the energy storage user, screening out the effective daily electricity consumption data with energy storage utilization in the annual electricity consumption data set, and taking the difference between the electricity consumption in the peak price time period and the electricity consumption in the valley price time period in the effective daily electricity consumption data as the energy storage value sequence generated by the effective daily energy storage value. Specifically, the steps of performing energy storage effective utilization analysis on the annual electricity consumption data set to generate the corresponding effective daily energy storage value sequence include: The daily basic load electricity consumption of the energy storage user is obtained, and according to the daily basic load electricity consumption, the annual electricity consumption data set is screened for valid data to generate a corresponding annual energy storage effective day set; wherein, the annual energy storage effective day set can be understood as filtering out the daily electricity consumption data with effective energy storage utilization in the annual electricity consumption data set based on the daily basic load electricity consumption, and adding it to the annual energy storage effective day set for use as basic analysis data that can be used to determine typical days in the future. Specifically, the steps of obtaining the daily basic load electricity consumption of the energy storage user, and according to the daily basic load electricity consumption, the annual electricity consumption data set is screened for valid data to generate a corresponding annual energy storage effective day set include: Obtain the power of each non-production load and the corresponding load factor of the energy storage user, and obtain the daily basic load power consumption based on all non-production load powers and corresponding load factors; wherein, the non-production load power and the load factors corresponding to each non-production load specifically involved by the energy storage user vary according to the actual application scenario, and are not specifically limited here. Correspondingly, the daily basic load power consumption is expressed as: in, Indicates the daily basic load electricity consumption of energy storage users; and They represent the power and load factor corresponding to the jth non-production load involved in the energy storage user respectively; Represents the total number of non-production loads involved in energy storage users.

[0022] Obtain the electricity data information of the daily electricity consumption in the annual electricity consumption data set that is greater than the daily basic load electricity consumption, and generate the annual energy storage effective day set based on the electricity data information; wherein the electricity data information can be understood as including all dates on which the daily electricity consumption is greater than the daily basic load electricity consumption (there is production load electricity consumption) and the data on the corresponding electricity consumption; that is, based on the daily basic load electricity consumption, compare each daily electricity consumption in the annual electricity consumption data set with it, if the daily electricity consumption is less than the daily basic load electricity consumption, the day is an invalid utilization day, and if the daily electricity consumption is greater than the daily basic load electricity consumption, the day is counted as an effective utilization day, and the daily electricity consumption corresponding to all effective utilization days is summarized to generate the required annual energy storage effective day set as the basis for determining the subsequent typical days.

[0023] According to the date sequence, the power consumption corresponding to all the effective energy storage days in the annual energy storage effective day set is sorted to obtain the corresponding annual effective day power sequence; that is, the annual effective day power sequence can be understood as the sequence formed by arranging the power consumption corresponding to the effective utilization days in the annual energy storage effective day set according to the natural order of the date, which can be expressed as: In the formula, Indicates the annual effective daily electricity quantity sequence; It represents the electricity consumption of the kth effective utilization day in the annual effective daily electricity sequence (excluding invalid utilization days); express The total number of effective utilization days.

[0024] According to the total discharge and charging amount corresponding to each effective daily electricity in the annual effective daily electricity sequence, the corresponding effective daily energy storage value sequence is generated; wherein, the effective daily energy storage value sequence can be understood as first identifying all peak price periods (energy storage discharge), parity periods (energy storage neither charging nor discharging) and valley price periods (energy storage charging) corresponding to the effective daily electricity based on the energy storage operation mode of the energy storage user, and then splitting and counting the daily electricity consumption according to each period to obtain the electricity situation in different periods, and then generating a sequence based on the difference between the discharge weight of the peak price period and the total charging amount of the valley price period in the effective daily electricity. In actual applications, the process of obtaining the effective daily energy storage value sequence is as follows: Assuming that there are multiple peak-valley price difference periods in the area where the energy storage user is located, the corresponding deployed energy storage system can implement a multi-charge and multi-discharge operation mode. The time of each valid day can be divided into multiple periods, expressed as: in, Indicates the total time within the effective day, i.e. 24 hours; and They represent the i-th charging duration (energy storage charging period duration) and discharging duration (energy storage discharging period duration) within the effective day respectively; It indicates the length of the parity period within the effective day (the period when the energy storage is neither charged nor discharged); N indicates the total number of charges within the effective day (the total number of charge and discharge cycles), which can be determined based on the maximum number of charge / discharge times allowed for the energy storage system in the actual region.

[0025] Correspondingly, the total power consumption within a valid day can be obtained by summing the power consumption in different time periods, expressed as: in, represents the total electricity consumption on the kth effective utilization day; and They represent the charging amount in the i-th valley price period and the discharging amount in the i-th peak price period within the k-th effective utilization day respectively; It represents the total electricity consumption during the parity period of the kth effective utilization day.

[0026] Considering that the difference between the total electricity in the peak price time period and the total electricity in the valley price time period of each effective utilization day can reflect the value of energy storage in "peak shaving and valley filling", the electricity in all peak price time periods (total daily discharge) and the electricity in all valley price time periods (total daily charging) in each effective utilization day are subtracted to obtain the corresponding daily energy storage value: in, Represents the energy storage value of the kth effective utilization day.

[0027] Based on the energy storage value of each effective utilization day mentioned above, an effective daily energy storage value sequence can be generated, which is expressed as: in, Represents the effective daily energy storage value sequence; It represents the energy storage value of the kth effective utilization day in the effective daily energy storage value sequence.

[0028] S12. Arrange the effective daily energy storage value sequence in ascending order according to the effective daily energy storage value, and obtain the median of the effective daily energy storage value sequence after sorting, and take the effective day corresponding to the median as a typical day; wherein, a typical day can be understood as a day that takes into account that a small energy storage value indicates that the difference between the electricity in the peak time period and the electricity in the valley time period of the day is not large, the potential for peak shaving and valley filling is small, and the configured energy storage capacity should be small, and a large energy storage value indicates that the difference between the electricity in the peak time period and the electricity in the valley time period of the day is large, the potential for peak shaving and valley filling is large, and the configured energy storage capacity should be large. Preferably, the effective daily energy storage value sequence is rearranged according to the energy storage value from small to large to obtain the date corresponding to the median of the sequence. The median of the effective daily energy storage value sequence can represent the typical peak-valley electricity difference throughout the year, corresponds to a moderate energy storage capacity, and has good typicality. The typical day screening method provided in this embodiment can ensure that the peak-shaving and valley-filling effect of energy storage is maximized from the perspective of energy storage use throughout the year, effectively balance the investment cost and application value of the energy storage system, and thus ensure that the energy storage configuration produces higher application value.

[0029] S13. Construct a full life cycle benefit model for energy storage based on the energy storage charging and discharging data of each energy storage cycle in the typical day, as well as the acquired data on energy storage's participation in demand-side response throughout the year and the data on energy storage's reduction of power outage losses throughout the year; wherein, each energy storage cycle in a typical day can be understood as each peak-valley electricity price period corresponding to the area where the energy storage user is located: if there is a peak-valley price difference period in the area where the energy storage user is located in a day, then there is an energy storage cycle (including one charging and one discharging) on ​​the corresponding typical day; if there are two peak-valley periods in the area where the energy storage user is located in a day, then there are two energy storage cycles on the corresponding typical day. Correspondingly, the energy storage charging and discharging data may include the charging time, charging period electricity load, charging period electricity price, discharging time, discharging period electricity load and discharging period electricity price of each energy storage cycle, which can all be obtained based on the real data analysis of typical days, so as to facilitate the subsequent analysis of the initial investment cost of energy storage and the benefits of smoothing grid load fluctuations by peak shaving and valley filling during energy storage operation.

[0030] The data of energy storage participating in the demand side response throughout the year in this embodiment can be understood as the relevant data of the energy storage system participating in the grid demand side response in a year including typical days, preferably including the number of responses (the total number of times the energy storage system participates in the demand side response in a year), the duration of each response (the duration of each demand side response) and the corresponding response power (participation in the demand side response power). The data of energy storage reducing power outage losses throughout the year can be understood as the relevant data of the energy storage system reducing the power outage losses of users caused by insufficient or interrupted power supply of the grid in a year including typical days, preferably including the number of power outage losses reduced by energy storage power supply (the total number of power outage losses reduced by the energy storage system in a year), the duration of each power supply (the duration of each reduced power outage) and the corresponding power supply power (the operating power of the energy storage system when reducing power outage losses), etc. It should be noted that the data of energy storage participating in the demand side response throughout the year can be used for subsequent analysis of the power transaction benefits of the energy storage system through participating in the demand side response of the grid, and the data of energy storage reducing power outage losses throughout the year can be used for subsequent analysis of the power shortage losses that can be reduced by providing power supply support when the power supply of the grid is insufficient or interrupted. For details, please refer to the relevant description of the construction of the energy storage annual income model below, which will not be repeated here.

[0031] The energy storage life cycle benefit model in this embodiment can be understood as an energy storage capacity configuration optimization model constructed by analyzing the energy storage system's life cycle benefits from aspects such as the energy storage system's initial investment cost, operation and maintenance cost, peak-valley price difference benefits, demand-side response benefits, and power supply support loss reduction. Specifically, the steps of constructing the energy storage life cycle benefit model based on the energy storage charging and discharging data of each energy storage cycle in the typical day, as well as the acquired energy storage participation in demand-side response data throughout the year and energy storage power outage loss reduction data throughout the year include: According to the charging time and discharging time in each energy storage charging and discharging data, the energy storage charging and discharging design time is obtained, and according to the energy storage charging and discharging design time, the unit power cost of the energy storage converter and the unit capacity cost of the energy storage, the energy storage investment cost model is constructed; wherein, the energy storage charging and discharging design time can be understood as the optimal energy storage charging and discharging time that can ensure that the power configuration of the energy storage system can be fully charged or fully discharged in each charging and discharging time period, considering that if the time is set too large, the energy storage power will be small, and there may be a situation where the energy storage system is not fully charged during the valley power period. On the contrary, if the time is set too small, the energy storage power will be large. Although the energy storage can be guaranteed to be fully charged, it will inevitably cause a waste of power configuration. In order to ensure the rationality of the power configuration of the energy storage system, this embodiment preferably sets the energy storage charging and discharging design time to the minimum value of the charging time and discharging time of all energy storage cycles in a typical day, which can be expressed as: in, Indicates the design time of energy storage charging and discharging; and They represent the i-th charging and discharging time in the effective day, respectively. ; N represents the total number of energy storage cycles in a typical day.

[0032] The energy storage investment cost model can be understood as a mathematical expression of the initial construction investment cost of the energy storage system established based on the consideration that energy storage investment is positively correlated with energy storage capacity and energy storage converter power; specifically, the energy storage investment cost model is expressed as: In the formula, in, Represents the initial investment cost of the energy storage system; , and They represent the unit power cost of energy storage converter, the unit capacity cost of energy storage and the unit capacity cost of energy storage project construction respectively; and Represent the energy storage power and energy storage capacity respectively, and the energy storage capacity It is an unknown value and needs to be determined by combining subsequent methods for analysis; Indicates the design time for energy storage charging and discharging.

[0033] Based on the linear relationship between energy storage operation and maintenance cost and energy storage capacity, an energy storage annual operation and maintenance cost model is constructed; wherein, the energy storage annual operation and maintenance cost model can be understood as a mathematical expression of the annual operation and maintenance cost of the energy storage system established based on the consideration that the annual operation and maintenance cost of energy storage is positively correlated with the initial investment in energy storage (energy storage capacity), preferably expressed as: in, Represents the annual operation and maintenance cost of the energy storage system; Indicates the charging constant for operation and maintenance fees, which can be set according to actual application requirements; The correction coefficient expression of the operation and maintenance fee constant that is positively correlated with the operating life m of the energy storage system, that is, the correction coefficient increases with time, can be obtained through research and analysis of the operation and maintenance costs of energy storage systems in the market, and is not specifically limited here.

[0034] According to the charging period power load, charging period power price, discharging period power load and discharging period power price in each energy storage charging and discharging data, a peak-shaving and valley-filling profit model for energy storage is constructed; the peak-shaving and valley-filling profit model for energy storage can be understood as a mathematical expression of the peak-valley price difference profit obtained by analyzing the electricity cost that can be reduced by charging energy storage during the period of low electricity price and discharging during the period of high electricity price, which is specifically expressed as: In the formula, in, It represents the benefits of energy storage for peak load reduction and valley filling; and They represent the charge and discharge amounts of the i-th energy storage cycle, respectively. The charge amount is determined by the energy storage capacity and the amount of electricity that can be charged during the charging period, while the discharge amount is determined by the amount of energy stored and the amount of electricity used during the period. and They respectively represent the charging time and power load of the charging period in the i-th energy storage cycle; and They respectively represent the discharge duration and power load of the discharge period in the i-th energy storage cycle; Indicates energy storage capacity; and They represent the installed capacity and maximum load factor of the transformer respectively. The maximum load factor can be understood as a factor set to ensure the safe operation of the transformer and meet the demand management requirements. The specific value can be set according to the actual application requirements. and They represent the electricity price during the discharge period and the electricity price during the charging period of the i-th energy storage cycle respectively; N represents the total number of energy storage cycles in a typical day.

[0035] According to the data of energy storage participating in demand-side response throughout the year and the data of energy storage reducing power outage losses throughout the year, the corresponding energy storage demand response profit model and energy storage reducing power outage loss model are constructed respectively; wherein, the energy storage demand response profit model can be understood as taking into account that after configuring the energy storage system, the energy storage user (enterprise) can adjust its power load at any time, and according to the load fluctuation of the regional power grid, reducing or increasing the load will obtain relevant subsidy benefits, and the mathematical expression obtained based on the analysis of the benefits obtained by energy storage participating in the power grid demand-side response and other power transactions throughout the year is expressed as: in, represents the energy storage demand response benefit; Indicates the number of responses; and Respectively represent Response duration and response power of the participant response; Indicates the response unit electricity subsidy.

[0036] The energy storage model for reducing power outage losses can be understood as the energy storage system configuration will reduce the risk of power outages for users. When the power grid is insufficient or interrupted, the energy storage system can supply power, reducing the loss of insufficient power supply. The mathematical expression of power supply losses that can be avoided based on the energy storage system providing power supply support for the power grid throughout the year is expressed as: in, It means that energy storage reduces power outage losses; It means that energy storage power supply reduces the number of power outage losses; and Respectively represent Secondary energy storage power supply reduces the power outage duration and power supply; Indicates the unit power loss coefficient.

[0037] The energy storage peak-shaving and valley-filling benefit model, the energy storage demand response benefit model and the energy storage power outage loss reduction model are integrated to obtain an energy storage annual benefit model; wherein the energy storage annual benefit model can be understood as a mathematical expression obtained by summarizing the energy storage peak-shaving and valley-filling benefit, energy storage demand response benefit and energy storage power outage loss reduction of the energy storage system throughout the year, expressed as: in, represents the annual revenue of energy storage; , and They respectively represent the benefits of energy storage for peak shaving and valley filling, energy storage for demand response, and energy storage for reducing power outage losses.

[0038] This embodiment can effectively ensure the reliability of the energy storage operation value assessment by comprehensively analyzing the configuration benefits of the energy storage system from the aspects of peak-valley price difference benefits, demand-side response benefits, and power supply support to reduce losses, thereby providing reliable guarantees for subsequent accurate and effective energy storage full life cycle benefit assessments.

[0039] The full life cycle net present value is calculated based on the energy storage annual income model, the energy storage annual operation and maintenance cost model and the energy storage investment cost model to obtain the energy storage full life cycle benefit model; wherein, the energy storage full life cycle benefit model can be understood as fully considering the characteristics that the smaller the energy storage system capacity configuration, the smaller the investment, the higher the utilization rate, but its charging and discharging capacity is limited, and the larger the energy storage system capacity configuration, the greater the investment, the greater its charging and discharging capacity, but the utilization rate will be reduced. In order to reasonably configure the energy storage capacity, the energy storage capacity S optimization model is preferably formed with the full life cycle net present value as the calculation target. Specifically, the energy storage full life cycle benefit model is expressed as: in, Indicates the benefits of energy storage throughout its life cycle; represents the annual revenue of energy storage; Indicates the year of energy storage operation; It represents the capacity decay coefficient of energy storage as the operating years increase; and They represent the annual operation and maintenance cost of the energy storage system and the initial investment cost of the energy storage system, respectively, which can be obtained by conducting research and analysis on energy storage systems on the market and combining relevant instructions and documents of equipment suppliers, and are not specifically limited here; Indicates the total operating years of the energy storage; Represents the annual net benefit discount rate of energy storage.

[0040] This embodiment conducts a full life cycle net present value benefit analysis on the energy storage system from aspects such as the initial investment cost, operation and maintenance cost, peak-valley price difference benefit, demand-side response benefit, and power supply support loss reduction of the energy storage system, so as to effectively evaluate the operational value of the energy storage system, and further provide a known analysis basis for obtaining energy storage capacity that can balance the investment cost and application value of the energy storage system.

[0041] S14, solving the energy storage life cycle benefit model to obtain an optimal capacity configuration strategy; the optimal capacity configuration strategy includes an optimal configuration capacity and an optimal energy storage charging and discharging power; the specific process of solving the energy storage life cycle benefit model is as follows: First, design the time according to the energy storage charge and discharge Determine the upper limit of energy storage capacity configuration and obtain the maximum configuration capacity ; Then get the maximum configuration capacity based on , get the configuration capacity value range After that, the capacity will be configured Traverse the values ​​within the value range to obtain the corresponding energy storage life cycle benefit evaluation value, and calculate the configuration capacity corresponding to the maximum energy storage life cycle benefit evaluation value As the optimal configuration capacity ; Finally, according to the optimal configuration capacity , the optimal energy storage charging and discharging power can be obtained as: In the formula, and They respectively represent the optimal energy storage charging and discharging power and the corresponding optimal configuration capacity.

[0042] In order to facilitate understanding of the implementation technology of the energy storage configuration method considering the full life cycle benefits proposed in this application, the following is a detailed description of the process of obtaining the optimal capacity configuration strategy for energy storage based on typical daily data of a certain enterprise in a year: Assume that the typical day of a company in a year has been determined through the median of the above-mentioned effective daily energy storage value sequence, and the peak and valley time periods, electricity prices and electricity consumption in the typical day are shown in Table 1 below: Table 1 Typical daily peak and valley time periods and electricity price information As shown in Table 1, there are two peak and valley periods in a typical day of a certain enterprise, that is, the energy storage operation mode configured by the enterprise is "two charging and two discharging". Based on the data in Table 1, the energy storage charging and discharging design time is .

[0043] Assume that the unit power cost of the energy storage converter is determined through market research The unit capacity cost of energy storage is 200 yuan / kW. The unit capacity cost of energy storage project construction is 600 yuan / kWh. If the price is 180 yuan / kWh, the energy storage investment cost model can be obtained as follows: .

[0044] Assume that the energy storage system operation and maintenance fee is constant The correction coefficient expression of the operation and maintenance fee constant is 50 yuan / kWh. Expressed as ,but The available energy storage annual operation and maintenance cost model is expressed as: .

[0045] Assuming that the transformer capacity of a certain energy storage user is 1250kVA, and the maximum load factor of the transformer is 0.8, based on the data shown in Table 1, according to the calculation formula of the charging and discharging amount of the energy storage cycle, it can be obtained that the amount of electricity that can be charged in the first valley time is 7000kWh, the first peak power consumption is 1800kWh, and the amount of electricity that can be charged in the second valley time is 800kWh, and the second peak power consumption is 3500kWh; at the same time, assuming that the energy storage user enterprise participates in the demand-side response five times a year, and the amount of electricity each time participating in the demand-side response is taken as the capacity of the energy storage system , demand-side response unit electricity subsidy 4 yuan / kWh, and the number of power outages caused by insufficient power supply from the grid in the energy storage user enterprise in a year is 2, and the power loss reduced each time is taken as the capacity of the energy storage system , the unit electricity loss coefficient B is 20 yuan / kWh; substitute the above data into the corresponding energy storage peak shaving and valley filling benefit model, energy storage demand response benefit model and energy storage reduction of power outage loss model, and then add up the corresponding energy storage peak shaving and valley filling benefit, energy storage demand response benefit and energy storage reduction of power outage loss to get the annual energy storage benefit.

[0046] In addition, assuming that the total operating years of the energy storage =8, the annual net benefit discount rate of energy storage The capacity attenuation coefficient of energy storage increases with the operating years. Based on market research results, After substituting the annual energy storage income, annual operation and maintenance cost of the energy storage system and the initial investment cost of the energy storage system obtained through the above steps into the corresponding energy storage life cycle benefit model, the configuration capacity value range can be obtained based on the maximum configuration capacity calculation formula. Then, the energy storage capacity is used as the optimization variable and the optimization goal is to maximize the benefits of the entire life cycle of energy storage. The energy storage capacity S is traversed from 0 to 2000 kWh. When S is 1800, The maximum is 2,593,965 yuan, so the optimal configuration capacity can be determined to be 1,800kW, and the corresponding optimal energy storage charging and discharging power is 900kW.

[0047] The embodiment of the present application obtains an annual electricity consumption data set of energy storage users, performs energy storage effective utilization analysis on the annual electricity consumption data set to generate a corresponding effective daily energy storage value sequence, arranges the effective daily energy storage value sequence in ascending order according to the effective daily energy storage value, obtains the median of the sorted effective daily energy storage value sequence, takes the effective day corresponding to the median as a typical day, and then constructs an energy storage full life cycle benefit model based on the energy storage charging and discharging data of each energy storage cycle in the typical day, as well as the acquired energy storage participation in demand-side response data throughout the year and energy storage reduction in power outage loss data throughout the year, and solves the energy storage full life cycle benefit model, and obtains a solution for the optimal capacity configuration strategy including the optimal configuration capacity and the optimal energy storage charging and discharging power, which effectively solves the problem. The typical day screening in the existing energy storage capacity configuration method is not accurate and reliable enough, and does not consider the investment cost and application value of the balanced energy storage system, resulting in the application defect of being unable to ensure the optimal energy storage utilization rate. Not only can the typical day screening accuracy be effectively improved by performing energy storage effective utilization value analysis on the annual electricity consumption data set, but also the energy storage full life cycle benefit analysis can be performed based on the energy storage charging and discharging data of each energy storage cycle in the typical day, as well as the energy storage participation in demand-side response data throughout the year and the energy storage reduction in power outage loss data throughout the year to obtain the optimal capacity configuration strategy, effectively balancing the investment cost and application value of the energy storage system, thereby improving the rationality of energy storage capacity configuration and the utilization rate of the energy storage system.

[0048] It should be noted that although the steps in the above flowchart are shown in sequence according to the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless otherwise specified in this document, there is no strict order restriction for the execution of these steps, and these steps can be executed in other orders.

[0049] In one embodiment, Figure 2 As shown, a storage configuration system considering the benefits of the entire life cycle is provided, and the system includes: Data processing module 1 is used to obtain the annual electricity consumption data set of energy storage users, and perform energy storage effective utilization analysis on the annual electricity consumption data set to generate a corresponding effective daily energy storage value sequence; Typical day screening module 2, used to sort the effective day energy storage value sequence in ascending order according to the effective day energy storage value, and obtain the median of the sorted effective day energy storage value sequence, and take the effective day corresponding to the median as a typical day; The optimization model building module 3 is used to build a full life cycle benefit model of energy storage according to the energy storage charging and discharging data of each energy storage cycle in the typical day, as well as the acquired energy storage participation in demand-side response data throughout the year and the energy storage reduction in power outage loss data throughout the year; The configuration strategy acquisition module 4 is used to solve the energy storage full life cycle benefit model to obtain the optimal capacity configuration strategy; the optimal capacity configuration strategy includes the optimal configuration capacity and the optimal energy storage charging and discharging power.

[0050] For the specific definition of the energy storage configuration system that considers the benefits of the entire life cycle, please refer to the definition of the energy storage configuration method that considers the benefits of the entire life cycle in the above text. The corresponding technical effects can also be equivalently obtained, which will not be repeated here. Each module in the above-mentioned energy storage configuration system that considers the benefits of the entire life cycle can be implemented in whole or in part through software, hardware and a combination thereof. The above-mentioned modules can be embedded in or independent of the processor in the computer device in the form of hardware, or can be stored in the memory of the computer device in the form of software, so that the processor can call and execute the operations corresponding to the above modules.

[0051] Figure 3 FIG. 1 shows an internal structure diagram of a computer device in an embodiment, and the computer device may specifically be a terminal or a server. Figure 3As shown, the computer device includes a processor, a memory, a network interface, a display, a camera and an input device connected through a system bus. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The network interface of the computer device is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor, an energy storage configuration method considering the benefits of the entire life cycle is implemented. The display screen of the computer device can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer device can be a touch layer covered on the display screen, or a button, trackball or touchpad set on the computer device housing, or an external keyboard, touchpad or mouse, etc.

[0052] It can be understood by those skilled in the art that Figure 3 The structure shown in the figure is only a block diagram of a part of the structure related to the present application scheme, and does not constitute a limitation on the computer device to which the present application scheme is applied. The specific computing device may include more or fewer components than shown in the figure, or combine certain components, or have the same component arrangement.

[0053] In one embodiment, a computer device is provided, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the steps of the above method are implemented when the processor executes the computer program.

[0054] In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored, and when the computer program is executed by a processor, the steps of the above method are implemented.

[0055] In summary, an energy storage configuration method and system considering the benefits of the entire life cycle are provided in an embodiment of the present invention. The energy storage configuration method considering the benefits of the entire life cycle realizes obtaining the annual electricity consumption data set of the energy storage user, performing energy storage effective utilization analysis on the annual electricity consumption data set to generate a corresponding effective daily energy storage value sequence, arranging the effective daily energy storage value sequence in ascending order according to the effective daily energy storage value, and obtaining the median of the sorted effective daily energy storage value sequence, taking the effective day corresponding to the median as a typical day, and then constructing an energy storage full life cycle benefit model based on the energy storage charging and discharging data of each energy storage cycle in the typical day, as well as the obtained energy storage participation in demand-side response data throughout the year and the energy storage reduction in power outage loss data throughout the year. The model is constructed and the energy storage life cycle benefit model is solved to obtain a technical solution for the optimal capacity configuration strategy including the optimal configuration capacity and the optimal energy storage charging and discharging power. This method can not only effectively improve the accuracy of typical day screening by screening typical days through energy storage effective utilization value analysis on the annual electricity consumption data set, but also can obtain the optimal capacity configuration strategy through energy storage life cycle benefit analysis based on the energy storage charging and discharging data of each energy storage cycle in the typical day, as well as the energy storage participation in demand-side response data throughout the year and the energy storage reduction in power outage loss data throughout the year, so as to effectively balance the investment cost and application value of the energy storage system, thereby improving the rationality of energy storage capacity configuration and the utilization rate of the energy storage system.

[0056] Each embodiment in this specification is described in a progressive manner, and the same or similar parts of each embodiment can be directly referred to each other, and each embodiment focuses on the differences from other embodiments. In particular, for the system embodiment, since it is basically similar to the method embodiment, the description is relatively simple, and the relevant parts can be referred to the partial description of the method embodiment. It should be noted that the technical features of the above-mentioned embodiments can be combined arbitrarily. In order to make the description concise, all possible combinations of the technical features in the above-mentioned embodiments are not described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0057] The above-mentioned embodiments only express several preferred implementation modes of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the invention patent. It should be pointed out that, for ordinary technicians in the technical field, several improvements and substitutions can be made without departing from the technical principles of the present invention, and these improvements and substitutions should also be regarded as the protection scope of the present application. Therefore, the protection scope of the patent of the present application shall be based on the protection scope of the claims.

Claims

1. A method for energy storage configuration considering the full life cycle benefits, characterized in that: The method comprises the following steps: Obtaining an annual electricity consumption data set of energy storage users, and performing an energy storage effective utilization analysis on the annual electricity consumption data set to generate a corresponding effective daily energy storage value sequence; Arrange the effective daily energy storage value sequence in ascending order according to the effective daily energy storage value, obtain the median of the sorted effective daily energy storage value sequence, and take the effective day corresponding to the median as a typical day; Based on the energy storage charging and discharging data of each energy storage cycle in the typical day, as well as the acquired data on energy storage's participation in demand-side response throughout the year and energy storage's reduction in power outage losses throughout the year, a full life cycle benefit model for energy storage is constructed; Solve the energy storage life cycle benefit model to obtain an optimal capacity configuration strategy; the optimal capacity configuration strategy includes an optimal configuration capacity and an optimal energy storage charging and discharging power.

2. The energy storage configuration method considering the full life cycle benefits as claimed in claim 1, characterized in that: The step of performing energy storage effective utilization analysis on the annual electricity consumption data set to generate a corresponding effective daily energy storage value sequence comprises: Obtaining the daily basic load power consumption of the energy storage user, and screening the annual power consumption data set for valid data according to the daily basic load power consumption, to generate a corresponding annual energy storage valid day set; According to the date sequence, the power consumption corresponding to all the energy storage effective days in the annual energy storage effective day set is sorted to obtain the corresponding annual effective day power sequence; According to the total discharge amount and the total charge amount corresponding to each effective daily electricity quantity in the annual effective daily electricity quantity sequence, a corresponding effective daily energy storage value sequence is generated.

3. The energy storage configuration method considering the full life cycle benefits as claimed in claim 2 is characterized in that: The step of obtaining the daily basic load power consumption of the energy storage user, and filtering the annual power consumption data set for effective data according to the daily basic load power consumption to generate the corresponding annual energy storage effective day set includes: Obtaining the power of each non-production load and the corresponding load factor of the energy storage user, and obtaining the daily basic load power consumption according to all the non-production load powers and the corresponding load factors; The power data information of the daily power consumption in the annual power consumption data set that is greater than the daily basic load power consumption is obtained, and the annual energy storage effective day set is generated according to the power data information.

4. The energy storage configuration method considering the full life cycle benefits as claimed in claim 1, characterized in that: The energy storage charging and discharging data include charging time, power load during the charging period, electricity price during the charging period, discharging time, power load during the discharging period and electricity price during the discharging period; the energy storage participation in demand-side response data throughout the year include the number of responses, the duration of each response and the corresponding response power; the energy storage power outage loss reduction data throughout the year include the number of power outage losses reduced by energy storage power supply, the duration of each power supply and the corresponding power supply power; The step of constructing the energy storage life cycle benefit model based on the energy storage charging and discharging data of each energy storage cycle in the typical day, as well as the acquired energy storage participation in demand-side response data throughout the year and energy storage reduction in power outage loss data throughout the year includes: According to the charging time and discharging time in each energy storage charging and discharging data, the energy storage charging and discharging design time is obtained, and according to the energy storage charging and discharging design time, the unit power cost of the energy storage converter and the unit capacity cost of the energy storage, an energy storage investment cost model is constructed; Based on the linear relationship between energy storage operation and maintenance cost and energy storage capacity, an energy storage annual operation and maintenance cost model is constructed; According to the charging period power load, charging period electricity price, discharging period power load and discharging period electricity price in each energy storage charging and discharging data, a peak-shaving and valley-filling profit model for energy storage is constructed; According to the data of the energy storage participating in the demand-side response throughout the year and the data of the energy storage reducing the power outage loss throughout the year, respectively, a corresponding energy storage demand response benefit model and an energy storage power outage loss reduction model are constructed; The energy storage peak-shaving and valley-filling profit model, the energy storage demand response profit model and the energy storage power outage loss reduction model are integrated to obtain an energy storage annual profit model; The energy storage full life cycle net present value is calculated based on the energy storage annual revenue model, the energy storage annual operation and maintenance cost model and the energy storage investment cost model to obtain the energy storage full life cycle benefit model.

5. The energy storage configuration method considering the full life cycle benefits as claimed in claim 4, characterized in that: The energy storage investment cost model is expressed as: In the formula, in, Represents the initial investment cost of the energy storage system; , and They represent the unit power cost of energy storage converter, the unit capacity cost of energy storage and the unit capacity cost of energy storage project construction respectively; and Respectively represent energy storage power and energy storage capacity; Indicates the design time of energy storage charging and discharging; and They represent the i-th charging and discharging time in the effective day, respectively. ; N represents the total number of energy storage cycles in a typical day.

6. The energy storage configuration method considering the full life cycle benefits as claimed in claim 4, characterized in that: The energy storage annual revenue model is expressed as: In the formula, in, represents the annual revenue of energy storage; , and They represent the benefits of energy storage for peak load reduction, energy storage for demand response, and energy storage for reducing power outage losses. and Respectively represent the charging and discharging amounts of the i-th energy storage cycle; and They respectively represent the charging time and power load of the charging period in the i-th energy storage cycle; and They respectively represent the discharge duration and power load of the discharge period in the i-th energy storage cycle; Indicates energy storage capacity; and Respectively represent the transformer's installed capacity and maximum load factor; and They represent the electricity price during the discharge period and the electricity price during the charging period of the i-th energy storage cycle respectively; Indicates the number of responses; and Respectively represent Response duration and response power of the participant response; Indicates the response unit electricity subsidy; It means that energy storage power supply reduces the number of power outage losses; and Respectively represent Secondary energy storage power supply reduces the power outage duration and power supply; Indicates the unit power loss coefficient.

7. The energy storage configuration method considering the full life cycle benefits as claimed in claim 4, characterized in that: The energy storage life cycle benefit model is expressed as: in, Indicates the benefits of energy storage throughout its life cycle; represents the annual revenue of energy storage; Indicates the year of energy storage operation; It represents the capacity decay coefficient of energy storage as the operating years increase; and They represent the annual operation and maintenance cost of the energy storage system and the initial investment cost of the energy storage system respectively; Indicates the total operating years of the energy storage; Represents the annual net benefit discount rate of energy storage.

8. An energy storage configuration system considering the benefits of the entire life cycle, characterized in that: The system comprises: A data processing module is used to obtain an annual electricity consumption data set of energy storage users, and perform energy storage effective utilization analysis on the annual electricity consumption data set to generate a corresponding effective daily energy storage value sequence; A typical day screening module is used to sort the effective day energy storage value sequence in ascending order according to the effective day energy storage value, and obtain the median of the sorted effective day energy storage value sequence, and take the effective day corresponding to the median as a typical day; An optimization model building module is used to build a full life cycle benefit model for energy storage based on the energy storage charging and discharging data of each energy storage cycle in the typical day, as well as the acquired energy storage participation in demand-side response data throughout the year and energy storage reduction in power outage loss data throughout the year; The configuration strategy acquisition module is used to solve the energy storage full life cycle benefit model to obtain the optimal capacity configuration strategy; the optimal capacity configuration strategy includes the optimal configuration capacity and the optimal energy storage charging and discharging power.

9. A computer device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 7 are implemented.

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