Energy storage capacity configuration method, system, device and medium based on typical day

Abstract

The present invention provides a method, system, device and medium for configuring energy storage capacity based on typical days. The method is to analyze the effective utilization of energy storage for the annual electricity consumption data set of the acquired energy storage users to generate an effective day energy storage value sequence, arrange it in ascending order according to the energy storage value, obtain the effective day corresponding to the median of the sequence as the typical day, and construct the cycle allowable charge and discharge amount index and the daily maximum allowable charge and discharge amount index according to the energy storage capacity to be configured and the energy storage charging amount and energy storage discharging amount of each energy storage cycle in the typical day, and weightedly integrate the capacity configuration rate index and the configuration capacity utilization rate index thus constructed to generate a configuration capacity comprehensive evaluation index, and obtain the optimal capacity configuration strategy including the optimal configuration capacity and the optimal energy storage charging and discharging power according to the configuration capacity comprehensive evaluation index. While improving the accuracy of typical day screening, the present invention effectively improves the rationality of capacity configuration, thereby comprehensively improving the utilization rate of the energy storage system.

Description

Technical Field

[0001] The present invention relates to the technical field of electrochemical energy storage, and in particular to a method, system, device and medium for configuring energy storage capacity based on a typical day. 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 energy storage capacity configuration 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, there is no research on how to balance the capacity configuration rate and the configuration capacity utilization rate, resulting in poor utilization of the energy storage system. Therefore, it is urgent to provide an energy storage capacity configuration method that ensures reliable typical day screening and can effectively balance the capacity configuration rate and the configuration capacity utilization rate. Summary of the invention

[0004] The purpose of the present invention is to provide a method for configuring energy storage capacity based on typical days, by performing energy storage effective utilization value analysis on the annual electricity consumption data set to select typical days, and constructing a comprehensive evaluation index for configuration capacity based on the energy storage charging amount and energy storage discharging amount of each energy storage cycle in the typical day to obtain the optimal capacity configuration strategy. On the basis of improving the accuracy of typical day screening, it can effectively balance the capacity configuration rate and the configuration capacity utilization rate, improve the rationality of energy storage capacity configuration, and thus comprehensively improve the utilization rate of the energy storage system.

[0005] In order to achieve the above objectives, it is necessary to provide a method, system, device and medium for configuring energy storage capacity based on a typical day in response to the above technical problems.

[0006] In a first aspect, an embodiment of the present invention provides a method for configuring energy storage capacity based on a typical day, the method comprising the following steps:

[0007] 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;

[0008] 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;

[0009] According to the energy storage capacity to be configured and the energy storage charging amount and energy storage discharging amount of each energy storage cycle in the typical day, construct the cycle period allowable charging and discharging amount index and the daily maximum allowable charging and discharging amount index;

[0010] According to the cycle allowable charge and discharge capacity indicator and the daily maximum allowable charge and discharge capacity indicator, a capacity configuration rate indicator and a configuration capacity utilization rate indicator are constructed, and the capacity configuration rate indicator and the configuration capacity utilization rate indicator are weighted and integrated to generate a configuration capacity comprehensive evaluation indicator;

[0011] According to the configuration capacity comprehensive evaluation index, an optimal capacity configuration strategy is obtained; the optimal capacity configuration strategy includes an optimal configuration capacity and an optimal energy storage charging and discharging power.

[0012] 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:

[0013] 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;

[0014] 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;

[0015] 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.

[0016] 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, and generating the corresponding annual energy storage valid day set includes:

[0017] 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;

[0018] 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.

[0019] Furthermore, the cycle period allows the charge and discharge capacity index to be expressed as:

[0020]

[0021] In the formula,

[0022]

[0023]

[0024] in, Indicates the allowable charge and discharge capacity index of the i-th energy storage cycle; and They represent the actual charge and discharge capacity of the i-th energy storage cycle respectively; and They respectively represent the duration of the charging period and the user's power load at that moment in the i-th energy storage cycle; and They respectively represent the duration of the discharge period and the user's power load at that moment in the i-th energy storage cycle; Indicates the energy storage capacity to be configured; and They respectively represent the transformer's installed capacity and maximum load factor.

[0025] Furthermore, the daily maximum allowable charge and discharge capacity index is expressed as:

[0026]

[0027] In the formula,

[0028]

[0029]

[0030] in, Indicates the maximum allowable daily charge and discharge capacity indicator; and They represent the actual charge and discharge of the i-th energy storage cycle respectively; N represents the total number of energy storage cycles in a typical day; and They respectively represent the duration of the charging period and the user's power load at that moment in the i-th energy storage cycle; and They respectively represent the duration of the discharge period and the user's power load at that moment in the i-th energy storage cycle; and They respectively represent the transformer's installed capacity and maximum load factor.

[0031] Furthermore, the step of constructing a capacity configuration rate indicator and a configuration capacity utilization rate indicator according to the cycle allowable charge and discharge capacity indicator and the daily maximum allowable charge and discharge capacity indicator comprises:

[0032] The allowable charge and discharge capacity indicators of all cycles are summed to obtain the allowable charge and discharge capacity per day;

[0033] The daily allowable charge and discharge amount is divided by the daily maximum allowable charge and discharge amount index to obtain the capacity configuration rate index; the capacity configuration rate index is expressed as:

[0034]

[0035] In the formula, It represents the capacity configuration rate indicator; Indicates the allowable charge and discharge capacity index of the i-th energy storage cycle; Indicates the maximum allowable daily charge and discharge capacity indicator; N indicates the total number of energy storage cycles in a typical day;

[0036] According to the ratio of the daily allowed charge and discharge amount to the energy storage capacity to be configured, the configuration capacity utilization index is obtained; the configuration capacity utilization index is expressed as:

[0037]

[0038] In the formula, Indicates the configuration capacity utilization indicator.

[0039] Furthermore, the step of obtaining the optimal capacity configuration strategy according to the configuration capacity comprehensive evaluation index includes:

[0040] Obtaining the minimum power value of the actual charging capacity and the actual discharging capacity of all energy storage cycles in the typical day, and generating a configuration capacity value range according to the minimum power value day and the maximum allowable charging and discharging capacity indicator;

[0041] Traversing each candidate configuration capacity in the configuration capacity value range, substituting the candidate configuration capacity into the configuration capacity comprehensive evaluation index to generate a corresponding configuration capacity evaluation value, and taking the candidate configuration capacity corresponding to the maximum configuration capacity evaluation value as the optimal configuration capacity;

[0042] The minimum duration of the actual charging duration and the actual discharging duration of all energy storage cycles in the typical day is obtained, and the optimal configuration capacity is divided by the minimum duration to obtain the optimal energy storage charging and discharging power.

[0043] In a second aspect, an embodiment of the present invention provides a typical day-based energy storage capacity configuration system, the system comprising:

[0044] 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;

[0045] 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;

[0046] An initial index construction module is used to construct a cycle allowable charge and discharge amount index and a daily maximum allowable charge and discharge amount index according to the energy storage capacity to be configured and the energy storage charging amount and energy storage discharging amount of each energy storage cycle in the typical day;

[0047] A comprehensive index construction module, used to construct a capacity configuration rate index and a configuration capacity utilization rate index according to the cycle allowable charge and discharge capacity index and the daily maximum allowable charge and discharge capacity index, and weightedly integrate the capacity configuration rate index and the configuration capacity utilization rate index to generate a configuration capacity comprehensive evaluation index;

[0048] The configuration strategy acquisition module is used to obtain the optimal capacity configuration strategy according to the configuration capacity comprehensive evaluation index; the optimal capacity configuration strategy includes the optimal configuration capacity and the optimal energy storage charging and discharging power.

[0049] 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.

[0050] 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.

[0051] The present application provides a method, system, device and medium for configuring energy storage capacity based on a typical day. The method realizes obtaining an annual electricity consumption data set of an energy storage user, performing an energy storage effective utilization analysis on the annual electricity consumption data set to generate a corresponding effective day energy storage value sequence, arranging the effective day energy storage value sequence in ascending order according to the effective day energy storage value, and obtaining the median of the sorted effective day energy storage value sequence, taking the effective day corresponding to the median as a typical day, and then constructing a cycle allowable charge and discharge amount index and a daily maximum allowable charge and discharge amount index based on the energy storage capacity to be configured and the energy storage charging amount and energy storage discharging amount of each energy storage cycle in the typical day, constructing a capacity configuration rate index and a configuration capacity utilization rate index based on the cycle allowable charge and discharge amount index and the daily maximum allowable charge and discharge amount index, and weighting and integrating the capacity configuration rate index and the configuration capacity utilization rate index to generate a configuration capacity comprehensive evaluation index, and obtaining a technical solution for an optimal capacity configuration strategy including an optimal configuration capacity and an optimal energy storage charging and discharging power based on the configuration capacity comprehensive evaluation index. Compared with the existing technology, the energy storage capacity configuration method based on typical days can not only effectively improve the accuracy of typical day screening by screening typical days through energy storage effective utilization value analysis of the annual electricity consumption data set, but also can analyze the capacity configuration rate and configuration capacity utilization rate based on the energy storage charging amount and energy storage discharging amount of each energy storage cycle in the typical day, and construct a comprehensive evaluation index of the configuration capacity based on the two to obtain the optimal capacity configuration strategy, effectively balance the capacity configuration rate and configuration capacity utilization rate, improve the rationality of energy storage capacity configuration, and thus comprehensively improve the utilization rate of the energy storage system. BRIEF DESCRIPTION OF THE DRAWINGS

[0052] Figure 1 is a flow chart of a method for configuring energy storage capacity based on a typical day in an embodiment of the present invention;

[0053] Figure 2 is a structural schematic diagram of an energy storage capacity configuration system based on a typical day in an embodiment of the present invention;

[0054] Figure 3 It is a diagram of the internal structure of a computer device in an embodiment of the present invention. DETAILED DESCRIPTION

[0055] 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.

[0056] The energy storage capacity configuration method based on typical days provided by the present invention can be understood as a method for optimizing energy storage capacity configuration by analyzing the effective utilization value of energy storage on the annual electricity consumption data set, screening typical days, and counting 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 curve, and constructing a comprehensive evaluation index of the configuration capacity to obtain the optimal capacity configuration strategy. The method is not only applicable to electrochemical energy storage, but also can be used as a reference for other types of energy storage technologies and systems.

[0057] In one embodiment, Figure 1 As shown, a method for configuring energy storage capacity based on a typical day is provided, comprising the following steps:

[0058] 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.

[0059] 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:

[0060] 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:

[0061] 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:

[0062]

[0063] 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.

[0064] 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.

[0065] 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:

[0066]

[0067] 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.

[0068] 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:

[0069] 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:

[0070]

[0071] in, Indicates the total time within the effective day, i.e. 24 hours; and They represent the duration of the i-th valley price period (energy storage charging period) and peak price period (energy storage discharging period) 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.

[0072] Correspondingly, the total power consumption within a valid day can be obtained by summing the power consumption in different time periods, expressed as:

[0073]

[0074] 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.

[0075] 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:

[0076]

[0077] in, Represents the energy storage value of the kth effective utilization day.

[0078] 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:

[0079]

[0080] 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.

[0081] 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.

[0082] 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 energy storage investment and energy storage utilization, and thus ensure that the energy storage configuration produces a higher utilization value.

[0083] S13. According to the energy storage capacity to be configured and the energy storage charging and discharging amounts of each energy storage cycle in the typical day, construct the cycle allowable charging and discharging amount index and the daily maximum allowable charging and discharging amount index; wherein, each energy storage cycle in a typical day can be understood as each peak and valley electricity price period corresponding to the area where the energy storage user is located: if there is a peak and 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 and 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 cycle allowable charging and discharging amount index can be understood as an index constructed based on the load curve of a typical day and the peak and valley time period analysis, which is used to represent the allowable charging and discharging amount of the energy storage system corresponding to each charging and discharging cycle; specifically, the cycle allowable charging and discharging amount index is expressed as:

[0084]

[0085] In the formula,

[0086]

[0087]

[0088] in, Indicates the allowable charge and discharge capacity index of the i-th energy storage cycle; and They represent the actual charging amount (the amount of electricity charged into the energy storage system supplied by the power grid) and the actual discharging amount (the amount of electricity released by the energy storage system) of the i-th energy storage cycle in a typical day respectively; and They represent the duration of the charging period and the user power load at that time in the i-th energy storage cycle in a typical day respectively; and They represent the duration of the discharge period and the user's electricity load at the time of the i-th energy storage cycle in a typical day; Indicates the energy storage capacity to be configured, which is an unknown value and needs to be determined by combining subsequent methods for analysis; and They respectively represent the reported capacity and maximum load factor of the transformer. The maximum load factor can be understood as a coefficient set to ensure the safe operation of the transformer and meet demand management requirements. The specific value can be set according to actual application requirements.

[0089] The daily maximum allowable charge and discharge capacity index in this embodiment can be understood as being constructed based on the analysis of the actual charge capacity and actual discharge capacity corresponding to all charge and discharge cycles in a typical day, and is used to indicate the maximum charge and discharge capacity that can be charged and discharged on a typical day; specifically, the daily maximum allowable charge and discharge capacity index is expressed as:

[0090]

[0091] in, Indicates the maximum allowable daily charge and discharge capacity indicator; and They represent the actual charging amount and actual discharging amount of the i-th energy storage cycle respectively; N represents the total number of energy storage cycles in a typical day.

[0092] Taking into account that the core function of the energy storage system in actual applications is to discharge the electricity charged during the "valley" period during the "peak" period, in order to ensure the application value of the energy storage system as much as possible, this embodiment preferably further constructs a capacity configuration rate for indicating whether the energy storage system is configured with sufficient capacity, and a configuration capacity utilization rate for indicating whether the configured capacity is fully utilized, based on the cycle allowable charge and discharge capacity index and the daily maximum allowable charge and discharge capacity index obtained by the above construction, and performs a comprehensive optimization analysis based on the two indicators through the following method steps when allocating energy storage capacity.

[0093] S14. According to the cycle period allowable charge and discharge amount indicator and the daily maximum allowable charge and discharge amount indicator, a capacity configuration rate indicator and a configuration capacity utilization rate indicator are constructed, and the capacity configuration rate indicator and the configuration capacity utilization rate indicator are weighted and integrated to generate a configuration capacity comprehensive evaluation indicator; specifically, the step of constructing the capacity configuration rate indicator and the configuration capacity utilization rate indicator according to the cycle period allowable charge and discharge amount indicator and the daily maximum allowable charge and discharge amount indicator includes:

[0094] The allowable charge and discharge capacity indicators of all cycles are summed to obtain the allowable charge and discharge capacity per day;

[0095] The daily allowable charge and discharge amount is divided by the daily maximum allowable charge and discharge amount index to obtain the capacity configuration rate index; the capacity configuration rate index is expressed as:

[0096]

[0097] In the formula, It represents the capacity configuration rate indicator; Indicates the allowable charge and discharge capacity index of the i-th energy storage cycle; Indicates the maximum allowable daily charge and discharge capacity indicator; N indicates the total number of energy storage cycles in a typical day;

[0098] According to the ratio of the daily allowed charge and discharge amount to the energy storage capacity to be configured, the configuration capacity utilization index is obtained; the configuration capacity utilization index is expressed as:

[0099]

[0100] In the formula, Indicates the configuration capacity utilization index; represents the allowable charge and discharge capacity index of the i-th energy storage cycle; N represents the total number of energy storage cycles in a typical day; Indicates the energy storage capacity to be configured, which is an unknown value and needs to be determined by combining subsequent analysis methods.

[0101] In practical applications, the capacity configuration rate indicator Energy storage capacity to be configured There is a positive correlation between the energy storage capacity utilization index and the energy storage capacity to be configured. In inverse proportion, that is, from the perspective of improving the configuration capacity rate, the configured energy storage capacity should be as small as possible. In order to effectively balance the capacity configuration rate index and the configuration capacity utilization rate index, this embodiment preferably integrates the two to construct a configuration capacity comprehensive evaluation index for comprehensively measuring the rationality of the configuration capacity size; specifically, the configuration capacity comprehensive evaluation index is expressed as:

[0102]

[0103]

[0104] in, It represents the comprehensive evaluation index of configuration capacity; a represents the weight coefficient of capacity configuration rate index, and b represents the weight coefficient of configuration capacity utilization rate; when configuring energy storage capacity, if a=1 is set, it means that improving the capacity configuration rate of the energy storage system will be the most important consideration; if b=1 is set, it means that the configuration capacity utilization rate will be the most important consideration. If both factors need to be considered, the values ​​of a and b can be determined according to the emphasis of the two factors, and no specific limitation is made here.

[0105] S15. Obtain an optimal capacity configuration strategy according to the configuration capacity comprehensive evaluation index; the optimal capacity configuration strategy includes the optimal configuration capacity and the optimal energy storage charging and discharging power; wherein, the process of obtaining the optimal capacity configuration strategy can be understood as first substituting the aforementioned constructed capacity configuration rate index and configuration capacity utilization rate index into the above configuration capacity comprehensive evaluation index, and obtaining the configuration capacity comprehensive evaluation index Energy storage capacity to be configured The relationship is:

[0106] .

[0107] Based on the above relationship, the optimal capacity configuration strategy can be obtained by maximizing the configuration capacity comprehensive evaluation index as the optimization goal. Specifically, the step of obtaining the optimal capacity configuration strategy according to the configuration capacity comprehensive evaluation index includes:

[0108] The minimum power value of the actual charge and discharge of all energy storage cycles in the typical day is obtained, and the configuration capacity value range is generated according to the minimum power value day and the maximum allowable charge and discharge capacity indicator; wherein the configuration capacity value range can be expressed as:

[0109]

[0110] In the formula,

[0111]

[0112] in, Indicates the configuration capacity value range; Indicates the minimum value of actual charge and discharge in all energy storage cycles; Indicates the maximum allowable daily charge and discharge capacity indicator; and They represent the actual charging amount and actual discharging amount of the i-th energy storage cycle respectively; N represents the total number of energy storage cycles in a typical day.

[0113] Traverse each candidate configuration capacity in the configuration capacity value range, substitute the candidate configuration capacity into the configuration capacity comprehensive evaluation index to generate a corresponding configuration capacity evaluation value, and use the candidate configuration capacity corresponding to the maximum configuration capacity evaluation value as the optimal configuration capacity; that is, replace the configuration capacity value range Each configuration capacity value in is used as the candidate configuration capacity, and the energy storage capacity to be configured From the configuration capacity value range Traverse the values ​​and find the comprehensive evaluation index of configuration capacity The candidate configuration capacity with the largest value is taken as the required optimal configuration capacity .

[0114] The minimum actual charging duration and actual discharging duration of all energy storage cycles in the typical day are obtained, and the optimal configuration capacity is divided by the minimum duration to obtain the optimal energy storage charge and discharge power; wherein, the optimal energy storage charge and discharge power can be understood as the energy storage charge and discharge power that can meet the preset capacity of the energy storage system in different charge and discharge cycles; in practical applications, in order to ensure that each charge and discharge cycle can reach the preset capacity, the energy storage charge and discharge power needs to be set as high as possible; considering that the capacity of the energy storage system is determined by the product of the charge / discharge time and the power, this embodiment preferably determines the optimal energy storage charge and discharge power based on the minimum time period length in the energy storage charge and discharge cycle in a typical day as the minimum single operation time (minimum duration). Among them, the minimum duration can be expressed as:

[0115]

[0116] In the formula, Indicates the minimum actual charging time and actual discharging time of all energy storage cycles in a typical day; and They respectively represent the duration of the i-th valley price period and peak price period in a valid day; N represents the total number of energy storage cycles in a typical day.

[0117] Correspondingly, the optimal energy storage charging and discharging power can be expressed as:

[0118]

[0119] In the formula, and They respectively represent the optimal energy storage charging and discharging power and the corresponding optimal configuration capacity.

[0120] In order to facilitate understanding of the implementation technology of the energy storage capacity configuration method based on typical days 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 day data of a certain enterprise in a year:

[0121] 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:

[0122] Table 1 Typical daily peak and valley time periods and electricity price information

[0123]

[0124] As shown in Table 1, a typical day for a certain enterprise has two peak and valley periods, that is, the energy storage operation mode configured by the enterprise is "two charging and two discharging".

[0125] Assuming that the capacity of a certain enterprise's transformer is 1250kVA and the maximum load factor K of the transformer is 0.8, the actual charging amount and actual discharging amount in the two peak and valley periods can be calculated as follows:

[0126]

[0127]

[0128]

[0129]

[0130] Based on the actual charge and discharge capacity in the two peak and valley periods, the allowable charge and discharge capacity indicators for the two cycles and the maximum allowable charge and discharge capacity indicators for the day are:

[0131]

[0132]

[0133]

[0134] To balance the configuration capacity and utilization of the energy storage system, a can be taken as 0.5 and b can be taken as 0.5. The corresponding configuration capacity comprehensive evaluation index is expressed as:

[0135]

[0136] Based on the actual charge and discharge capacity in the two peak and valley periods and the daily maximum allowable charge and discharge capacity indicators obtained above, the configuration capacity value range can be obtained as follows: ; The energy storage capacity to be configured By traversing the values ​​from 500 to 2500, it is found that when S=2000, the value of the configuration capacity comprehensive evaluation index Y is the largest, which is 0.8125; the optimal configuration capacity can be determined It is 2000kWh.

[0137] The peak and valley times in a typical day in Table 1 show the minimum actual charging time and actual discharging time of all energy storage cycles in a typical day. For 2 hours, according to the optimal configuration capacity And the minimum duration can further determine the optimal energy storage charging and discharging power as:

[0138]

[0139] It can be obtained that the optimal configuration capacity of a company's energy storage is 2000kWh, and the corresponding energy storage configuration power is 1000kW.

[0140] The embodiment of the present application obtains an annual electricity consumption data set of an energy storage user, performs an 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, and 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 a cycle period allowable charge and discharge amount index and a daily maximum allowable charge and discharge amount index according to the energy storage capacity to be configured and the energy storage charging amount and energy storage discharging amount of each energy storage cycle in the typical day, constructs a capacity configuration rate index and a configuration capacity utilization rate index according to the cycle period allowable charge and discharge amount index and the daily maximum allowable charge and discharge amount index, and weights and integrates the capacity configuration rate index and the configuration capacity utilization rate index to generate a configuration capacity comprehensive evaluation index, and generates a configuration capacity comprehensive evaluation index according to the configuration capacity comprehensive evaluation index. The scheme of obtaining the optimal capacity configuration strategy including the optimal configuration capacity and the optimal energy storage charging and discharging power effectively solves the application defects of the existing energy storage capacity configuration method that the typical day screening is not accurate and reliable enough, and the balance capacity configuration rate and the configuration capacity utilization rate are not considered, resulting in the inability to ensure the optimal energy storage utilization rate. It can not only effectively improve the accuracy of typical day screening by analyzing the effective utilization value of energy storage for the annual electricity consumption data set, but also analyze the capacity configuration rate and the configuration capacity utilization rate based on the energy storage charging amount and the energy storage discharging amount of each energy storage cycle in the typical day, and construct a configuration capacity comprehensive evaluation index based on the two to obtain the optimal capacity configuration strategy, effectively balance the capacity configuration rate and the configuration capacity utilization rate, improve the rationality of energy storage capacity configuration, and thus comprehensively improve the utilization rate of the energy storage system.

[0141] 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.

[0142] In one embodiment, Figure 2 As shown, a typical day-based energy storage capacity configuration system is provided, the system comprising:

[0143] 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;

[0144] 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;

[0145] The initial index construction module 3 is used to construct the cycle allowable charge and discharge amount index and the daily maximum allowable charge and discharge amount index according to the energy storage capacity to be configured and the energy storage charging amount and energy storage discharging amount of each energy storage cycle in the typical day;

[0146] A comprehensive index construction module 4 is used to construct a capacity configuration rate index and a configuration capacity utilization rate index according to the cycle allowable charge and discharge capacity index and the daily maximum allowable charge and discharge capacity index, and weightedly integrate the capacity configuration rate index and the configuration capacity utilization rate index to generate a configuration capacity comprehensive evaluation index;

[0147] The configuration strategy acquisition module 5 is used to obtain the optimal capacity configuration strategy according to the configuration capacity comprehensive evaluation index; the optimal capacity configuration strategy includes the optimal configuration capacity and the optimal energy storage charging and discharging power.

[0148] For the specific limitations of the energy storage capacity configuration system based on typical days, please refer to the limitations of the energy storage capacity configuration method based on typical days mentioned above. The corresponding technical effects can also be obtained equivalently, which will not be repeated here. Each module in the above-mentioned energy storage capacity configuration system based on typical days 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.

[0149] 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 3 As 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, a typical day-based energy storage capacity configuration method 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.

[0150] It can be understood by those skilled in the art that Figure 3The 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.

[0151] 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.

[0152] 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.

[0153] In summary, the embodiments of the present invention provide a method, system, device and medium for configuring energy storage capacity based on typical days. The method for configuring energy storage capacity based on typical days realizes obtaining an annual electricity consumption data set of energy storage users, performing energy storage effective utilization analysis on the annual electricity consumption data set to generate a corresponding effective day energy storage value sequence, arranging the effective day energy storage value sequence in ascending order according to the effective day energy storage value, and obtaining the median of the sorted effective day energy storage value sequence, taking the effective day corresponding to the median as a typical day, and then constructing a cycle allowable charge and discharge amount index and a daily maximum allowable charge and discharge amount index based on the energy storage capacity to be configured and the energy storage charging amount and energy storage discharging amount of each energy storage cycle in the typical day, and constructing a capacity configuration rate index and a configuration capacity based on the cycle allowable charge and discharge amount index and the daily maximum allowable charge and discharge amount index. The invention relates to a method for obtaining a technical solution for the optimal capacity configuration strategy including the optimal configuration capacity and the optimal energy storage charging and discharging power according to the comprehensive evaluation index of the configuration capacity. The method can not only effectively improve the accuracy of typical day screening by screening typical days through the analysis of the effective utilization value of energy storage on the annual electricity consumption data set, but also analyze the capacity configuration rate and the configuration capacity utilization rate based on the energy storage charging amount and energy storage discharging amount of each energy storage cycle in the typical day, and construct the configuration capacity comprehensive evaluation index based on the two to obtain the optimal capacity configuration strategy, effectively balance the capacity configuration rate and the configuration capacity utilization rate, improve the rationality of energy storage capacity configuration, and thus comprehensively improve the utilization rate of the energy storage system.

[0154] 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.

[0155] 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 configuring energy storage capacity based on a typical day, characterized in that: The method comprises the following steps: 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; the effective daily energy storage value sequence is based on the daily basic load electricity consumption of the energy storage user, and the effective daily electricity consumption data with energy storage utilization in the annual electricity consumption data is screened out, and the difference between the electricity in the peak price time period and the electricity in the valley price time period in the effective daily electricity consumption data is used as the energy storage value sequence generated by the effective daily energy storage value; 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; According to the energy storage capacity to be configured and the energy storage charging amount and energy storage discharging amount of each energy storage cycle in the typical day, a cycle allowable charging and discharging amount index and a daily maximum allowable charging and discharging amount index are constructed; the cycle allowable charging and discharging amount index is the minimum value of the energy storage capacity to be configured and the actual charging amount and actual discharging amount of the corresponding energy storage cycle; According to the cycle allowable charge and discharge capacity indicator and the daily maximum allowable charge and discharge capacity indicator, a capacity configuration rate indicator and a configuration capacity utilization rate indicator are constructed, and the capacity configuration rate indicator and the configuration capacity utilization rate indicator are weighted and integrated to generate a configuration capacity comprehensive evaluation indicator; According to the configuration capacity comprehensive evaluation index, an optimal capacity configuration strategy is obtained; the optimal capacity configuration strategy includes an optimal configuration capacity and an optimal energy storage charge and discharge power; the optimal configuration capacity is a configuration capacity value in the configuration capacity value range that maximizes the configuration capacity comprehensive evaluation index value; the lower limit of the configuration capacity value range is the minimum value of the actual charge and discharge of all energy storage cycles in the typical day, and the upper limit is the maximum allowable charge and discharge index value; the optimal energy storage charge and discharge power is the ratio of the optimal configuration capacity to the minimum time period length in the energy storage charge and discharge cycle in the typical day; The step of constructing a capacity configuration rate indicator and configuring a capacity utilization rate indicator according to the cycle allowable charge and discharge capacity indicator and the daily maximum allowable charge and discharge capacity indicator comprises: The allowable charge and discharge capacity indicators of all cycles are summed to obtain the allowable charge and discharge capacity per day; The daily allowable charge and discharge amount is divided by the daily maximum allowable charge and discharge amount index to obtain the capacity configuration rate index; the capacity configuration rate index is expressed as: In the formula, in, It represents the capacity configuration rate indicator; Indicates the allowable charge and discharge capacity index of the i-th energy storage cycle; Indicates the maximum allowable daily charge and discharge capacity indicator; N indicates the total number of energy storage cycles in a typical day; and They represent the actual charge and discharge capacity of the i-th energy storage cycle respectively; Indicates the energy storage capacity to be configured; According to the ratio of the daily allowed charge and discharge amount to the energy storage capacity to be configured, the configuration capacity utilization index is obtained; the configuration capacity utilization index is expressed as: In the formula, Indicates the configuration capacity utilization index; Indicates the energy storage capacity to be configured.

2. The energy storage capacity configuration method based on a typical day according to 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 capacity configuration method based on a typical day according to claim 2, 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 capacity configuration method based on a typical day according to claim 1, characterized in that: The actual charge amount and actual discharge amount of the energy storage cycle are respectively expressed as: in, and They represent the actual charge and discharge capacity of the i-th energy storage cycle respectively; and They respectively represent the duration of the charging period and the user's power load at that moment in the i-th energy storage cycle; and They respectively represent the duration of the discharge period and the user's power load at that moment in the i-th energy storage cycle; and They respectively represent the transformer's installed capacity and maximum load factor.

5. The energy storage capacity configuration method based on a typical day according to claim 1, characterized in that: The step of obtaining the optimal capacity configuration strategy according to the configuration capacity comprehensive evaluation index comprises: Obtaining the minimum power value of the actual charging capacity and the actual discharging capacity of all energy storage cycles in the typical day, and generating a configuration capacity value range according to the minimum power value and the maximum allowable charging and discharging capacity indicator; Traversing each candidate configuration capacity in the configuration capacity value range, substituting the candidate configuration capacity into the configuration capacity comprehensive evaluation index to generate a corresponding configuration capacity evaluation value, and taking the candidate configuration capacity corresponding to the maximum configuration capacity evaluation value as the optimal configuration capacity; The minimum duration of the actual charging duration and the actual discharging duration of all energy storage cycles in the typical day is obtained, and the optimal configuration capacity is divided by the minimum duration to obtain the optimal energy storage charging and discharging power.

6. A typical day-based energy storage capacity configuration system, characterized in that: The energy storage capacity configuration method based on a typical day as claimed in claim 1 is applied, and 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 initial index construction module is used to construct a cycle allowable charge and discharge amount index and a daily maximum allowable charge and discharge amount index according to the energy storage capacity to be configured and the energy storage charging amount and energy storage discharging amount of each energy storage cycle in the typical day; A comprehensive index construction module, used to construct a capacity configuration rate index and a configuration capacity utilization rate index according to the cycle allowable charge and discharge capacity index and the daily maximum allowable charge and discharge capacity index, and weightedly integrate the capacity configuration rate index and the configuration capacity utilization rate index to generate a configuration capacity comprehensive evaluation index; The configuration strategy acquisition module is used to obtain the optimal capacity configuration strategy according to the configuration capacity comprehensive evaluation index; the optimal capacity configuration strategy includes the optimal configuration capacity and the optimal energy storage charging and discharging power.

7. 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 5 are implemented.

8. 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 5 are implemented.

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