Energy storage device scheduling method

Abstract

The present application relates to a method for scheduling energy storage equipment, which first evaluates and scores each energy storage system that has been put into operation based on its own parameter data and operation data, then obtains power demand information, and evaluates and scores the power demand information based on the power-time curve, demand unit, and historical supply data of the power demand information, and then matches it with multiple energy storage systems that are suitable in the score dimension based on the evaluation score of the power demand information, and then screens multiple target energy storage systems that are suitable in the time dimension from the matched multiple energy storage systems, and judges whether the scheduling requirements are met by comparing the calculated total available power of all target energy storage systems with the required power of the power demand information.

Description

Technical Field

[0001] The present application relates to the technical field of energy storage device management, and in particular to a method for scheduling energy storage devices. Background Art

[0002] A virtual power plant is a resource cluster that integrates the resources of multiple base stations to participate in power dispatching as a special power plant.

[0003] At present, in the actual operation of virtual power plants, the multiple energy storage devices managed have the defect of insufficient resource utilization, and there is a problem of low fault tolerance in the management of multiple energy storage devices in the entire virtual power plant. Summary of the invention

[0004] Based on this, it is necessary to provide a method for scheduling energy storage equipment to address the problems of insufficient utilization of multiple energy storage devices and low fault tolerance in management in traditional virtual power plant systems.

[0005] The present application provides a method for scheduling an energy storage device, comprising:

[0006] Acquiring power demand information, wherein the power demand information includes a power-time curve of the power demand, a demand unit, and historical supply data;

[0007] An evaluation score of the power demand information is calculated based on the power-time curve of the power demand, the demand unit, and the historical supply data;

[0008] Obtain configuration information and operating data of each energy storage system;

[0009] Based on the configuration information and operation data of each energy storage system, each energy storage system is evaluated to obtain an evaluation score for each energy storage system;

[0010] A plurality of energy storage systems having evaluation scores based on the power demand information that match the power demand information;

[0011] Selecting at least one target energy storage system from a plurality of matching energy storage systems based on the power demand information;

[0012] Calculate the sum of the available power of all target energy storage systems and record it as the total available power;

[0013] Determine whether the required power calculated from the power-time curve of the power demand is less than or equal to the total available power;

[0014] If the required power is less than or equal to the total available power, the power dispatch demand is predicted to be met;

[0015] If the required power is greater than the total available power, the forecast does not meet the power dispatch demand.

[0016] Further, the evaluation of the power demand information calculated based on the power-time curve of the power demand, the demand unit, and the historical supply data includes:

[0017] Analyze the power-time curve of the power demand to obtain the total power demand;

[0018] Using the demand unit as the index, retrieve the historical supply data, the number of historical supplies and the number of default behaviors to the demand unit;

[0019] The evaluation score formula for calculating the power demand information is as shown in Formula 1;

[0020] Formula 1;

[0021] in, is the evaluation score of the power demand information; is the total power demand; is the weight of the total electricity demand; The historical supply times of the demand unit; The weight of the historical supply times of the demand unit; The number of historical defaults of the demand unit; The weight of the number of historical default behaviors of the demand unit.

[0022] Further, based on the configuration information and operation data of each energy storage system, each energy storage system is evaluated to obtain an evaluation score of each energy storage system, including:

[0023] Analyze the configuration information of the energy storage system to obtain the output voltage data, output current data, calibrated available power and actual available power of the energy storage system;

[0024] Analyze the operating data of the energy storage system to obtain the probability of disconnection and voltage fluctuation during the operation of the energy storage system;

[0025] The formula for calculating the evaluation score of the energy storage system is as shown in Formula 2;

[0026] Formula 2;

[0027] in, Provide an evaluation score for the energy storage system; is the output voltage data of the energy storage system; Output current data of the energy storage system; is the output power weight of the energy storage system; is the actual available power of the energy storage system; The calibrated available power of the energy storage system; is the health weight of the energy storage system; is the probability of the energy storage system being offline during operation; is the weight of the probability of offline of the energy storage system during operation; is the voltage fluctuation probability of the energy storage system during operation; is the weight of the voltage fluctuation probability of the energy storage system during operation.

[0028] Further, the evaluation scores based on the power demand information are multiple energy storage systems that match the power demand information, including:

[0029] Based on the score of the power demand information, the evaluation level of the power demand information is calculated;

[0030] Based on the evaluation score of each energy storage system, the evaluation level of each energy storage system is calculated;

[0031] The rating level of the energy storage system corresponding to the rating level of the power demand information is mapped to obtain the evaluation level of the matching energy storage system;

[0032] The evaluation levels of the matched energy storage systems are analyzed to obtain at least one energy storage system.

[0033] Further, the scoring based on the power demand information is used to calculate the rating level of the power demand information, including:

[0034] Obtain all historical electricity demand information and calculate the evaluation score of each electricity demand information;

[0035] Filter out the highest and lowest scores among all the evaluation scores of the power demand information;

[0036] The highest score is used as the maximum boundary value of the evaluation score of the power demand information, and the lowest score is used as the minimum boundary value of the evaluation score of the power demand information, thereby obtaining an estimated range of the evaluation score of the power demand information;

[0037] Create multiple rating levels for power demand information;

[0038] Based on the evaluation levels of the plurality of electricity demand information, the estimated evaluation score range of the electricity demand information is evenly divided from high to low to obtain the estimated score range corresponding to the evaluation level of each electricity demand information;

[0039] Obtain a score for the power demand information;

[0040] Based on the estimated score range corresponding to the evaluation level of each piece of electricity demand information, the rating level of the electricity demand information is obtained.

[0041] Further, based on the evaluation score of each energy storage system, the evaluation level of each energy storage system is calculated, including:

[0042] Obtain the evaluation score of each energy storage system;

[0043] Filter out the highest and lowest scores among all the energy storage system evaluation scores;

[0044] The highest score is taken as the maximum boundary value of the evaluation score of the energy storage system, and the lowest score is taken as the minimum boundary value of the evaluation score of the energy storage system, thereby obtaining the estimated range of the evaluation score of the energy storage system;

[0045] Create multiple rating scales for energy storage systems;

[0046] Based on the evaluation levels of multiple energy storage systems, the estimated range of evaluation scores of the energy storage systems is evenly divided from high to low to obtain the estimated score range of the evaluation level of each energy storage system and the evaluation level of each energy storage system.

[0047] Further, selecting at least one target energy storage system from a plurality of matching energy storage systems based on the power demand information includes:

[0048] Parsing the power-time curve of the power demand in the power demand information to obtain the demand time information in the power demand information, wherein the demand time information includes a demand start time node and a demand end time node;

[0049] Select a matching energy storage system;

[0050] Parsing the matched energy storage system to obtain at least one adjustable time information in the matched energy storage system, wherein the adjustable time information includes an adjustable start time node and an adjustable end time node;

[0051] Determine whether the available start time node is less than or equal to the required start time node;

[0052] If the deployable start time node is greater than or equal to the demand start time node, return to execute the selection of a matching energy storage system;

[0053] If the available start time node is less than or equal to the required start time node, determine whether the available end time node is greater than or equal to the required end time node;

[0054] If the deployable end time node is less than the demand end time node, return to execute the selection of a matching energy storage system;

[0055] If the deployable end time node is greater than or equal to the demand end time node, the matching energy storage system is defined as the target energy storage system;

[0056] Return to selecting a matching energy storage system until each matching energy storage system has been selected once.

[0057] Further, at least one target energy storage system is selected from the matched multiple energy storage systems based on the power demand information, and then the energy storage device scheduling method further includes:

[0058] Select an evaluation level for the energy storage system;

[0059] Analyze the evaluation level of the energy storage system, and obtain all energy storage systems in the evaluation level of the energy storage system and the score of each energy storage system;

[0060] Sort the scores of all energy storage systems obtained from large to small to obtain a ranking table;

[0061] The energy storage system with the highest score in the ranking list is defined as the master control end;

[0062] Define the other energy storage systems in the sorting table as slaves of the master control end;

[0063] Return to select an evaluation level of an energy storage system until the evaluation level of each energy storage system has been selected once.

[0064] The energy storage device scheduling method further includes:

[0065] Select an energy storage system;

[0066] Analyze the energy storage system to obtain the GPS location and evaluation score of the energy storage system;

[0067] Using the GPS position of the energy storage system as the search center and the first distance as the radius to search, a plurality of searched energy storage systems are obtained;

[0068] Obtain the evaluation score of each searched energy storage system;

[0069] Determine whether there is a searched energy storage system whose evaluation score is greater than or equal to the evaluation score of the energy storage system;

[0070] If there is no energy storage system being searched whose evaluation score is greater than or equal to the evaluation score of the energy storage system, then the energy storage system is defined as the master control end, and all the energy storage systems being searched are defined as slaves of the master control end;

[0071] If there is a searched energy storage system whose evaluation score is greater than or equal to the evaluation score of the energy storage system, the searched energy storage system with the highest score is selected;

[0072] The GPS position of the searched energy storage system with the highest evaluation score is used as the new search circle center, and the search is performed again with the first distance as the radius to obtain multiple searched energy storage systems;

[0073] Return to selecting an energy storage system until each energy storage system is defined.

[0074] Further, the GPS position of the searched energy storage system with the highest evaluation score is used as a new search circle center, and the search is performed again with the first distance as the radius to obtain multiple searched energy storage systems. Then, the energy storage device scheduling method further includes:

[0075] Screening the obtained multiple searched energy storage systems to obtain at least one defined energy storage system;

[0076] Select a defined energy storage system;

[0077] Obtaining an evaluation score of the defined energy storage system;

[0078] Determine whether the evaluation score of the defined energy storage system is closer to the evaluation score of the energy storage system located at the center of the new search circle;

[0079] If the evaluation score of the defined energy storage system is closer to the evaluation score of the energy storage system located at the center of the new search circle, the definition of the defined energy storage system is updated;

[0080] If the evaluation score of the defined energy storage system is not closer to the evaluation score of the energy storage system located at the new search circle center, maintaining the definition of the defined energy storage system;

[0081] Return to selecting a defined energy storage system until each defined energy storage system has been selected once.

[0082] The present application relates to a method for scheduling energy storage equipment, which first evaluates and scores each energy storage system that has been put into operation based on its own parameter data and operation data, then obtains power demand information, and evaluates and scores the power demand information based on the power-time curve, demand unit, and historical supply data of the power demand information, and then matches it with multiple energy storage systems that are suitable in the score dimension based on the evaluation score of the power demand information, and then screens multiple target energy storage systems that are suitable in the time dimension from the matched multiple energy storage systems, and judges whether the scheduling requirements are met by comparing the calculated total available power of all target energy storage systems with the required power of the power demand information. BRIEF DESCRIPTION OF THE DRAWINGS

[0083] Figure 1 A flowchart of a method for scheduling energy storage equipment provided in accordance with an embodiment of the present application. DETAILED DESCRIPTION

[0084] In order to make the purpose, technical solution and advantages of the present application more clearly understood, the present application is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0085] like Figure 1 As shown, in one embodiment of the present application, the energy storage device scheduling method includes the following S001 to S10:

[0086] S001, obtaining power demand information, where the power demand information includes a power-time curve of the power demand, a demand unit, and historical supply data.

[0087] Specifically, electricity demand information refers to the overall information or data on electricity demand received from customers or users; the power-time curve in the electricity demand information refers to the specific demand power and the specific demand time, and the demand time is generally one or more continuous time periods; the demand unit refers to the name of the company, unit or individual that has demand for electricity; the historical supply data refers to all data recorded in this system in the past for each company, unit or individual that has demand for electricity.

[0088] S002, calculating an evaluation score of the electricity demand information based on the power-time curve of the electricity demand, the demand unit, and the historical supply data.

[0089] Specifically, the evaluation score of the power demand information is obtained by analyzing information in multiple directions in the power demand information and performing separate evaluations and scores, and finally integrating the evaluation scores in various directions together to achieve a comprehensive evaluation of the power demand information.

[0090] S003, obtaining configuration information and operation data of each energy storage system.

[0091] S004: Evaluate each energy storage system based on the configuration information and operation data of each energy storage system to obtain an evaluation score for each energy storage system.

[0092] Specifically, the configuration information of the energy storage system includes storage capacity information, hardware information, output current and voltage, input current and voltage, etc., and the operation data of the energy storage system includes the input or output power-time curve.

[0093] S005, evaluating the power demand information based on the scores of the multiple energy storage systems that match the power demand information.

[0094] Specifically, the electricity demand information is defined by evaluating the electricity demand information, and the energy storage system of corresponding quality is allocated based on the defined difference system.

[0095] S006: Filter out at least one target energy storage system from the matched multiple energy storage systems based on the power demand information.

[0096] Specifically, after matching a certain number of energy storage systems for the first time, the matched multiple energy storage systems are once again deeply screened to implement a deep matching mechanism for different electricity demand information, thereby providing stable and high-quality services.

[0097] S007, calculating the sum of the available power of all target energy storage systems, and recording it as the total available power.

[0098] S008, determining whether the required power calculated from the power-time curve of the power demand is less than or equal to the total available power.

[0099] S009: If the required power is less than or equal to the total available power, it is predicted that the power dispatch demand will be met.

[0100] S010: If the required power is greater than the total available power, it is predicted that the power dispatch demand is not met.

[0101] In this embodiment, each energy storage system that has been put into operation is evaluated and scored based on its own parameter data and operation data, and then the power demand information is obtained, and the power demand information is evaluated and scored based on the power-time curve, demand unit, and historical supply data of the power demand information. Then, based on the evaluation score of the power demand information, multiple energy storage systems that are suitable in the score dimension are matched, and then multiple target energy storage systems that are suitable in the time dimension are screened again from the matched multiple energy storage systems. By comparing the calculated total available power of all target energy storage systems with the required power of the power demand information, it is determined whether the scheduling requirements are met.

[0102] In one embodiment of the present application, the evaluation of the power demand information calculated based on the power-time curve of the power demand, the demand unit, and the historical supply data includes the following S002a to S002c:

[0103] S002a, analyzing the power-time curve of the power demand to obtain the total power demand.

[0104] S002b, using the demand unit as the index, retrieve the historical supply data to obtain the historical supply times and default times of the demand unit.

[0105] S002c, the evaluation score formula for calculating the power demand information is as shown in Formula 1;

[0106] Formula 1;

[0107] in, is the evaluation score of the power demand information; is the total power demand; is the weight of the total electricity demand; The historical supply times of the demand unit; The weight of the historical supply times of the demand unit; The number of historical defaults of the demand unit; The weight of the number of historical default behaviors of the demand unit.

[0108] In this embodiment, weights are assigned to data of different dimensions in the electricity demand information to balance the problem that the evaluation score of the electricity demand information is not universal due to excessive differences between different data; and data of different dimensions have different impacts on the evaluation score of the electricity demand information, with some data having a positive impact and some data having a negative impact. This evaluation method can reduce the fluctuation of the evaluation score of the final electricity demand information and improve the fairness of the evaluation score of the electricity demand information.

[0109] In one embodiment of the present application, the step of evaluating each energy storage system based on the configuration information and operation data of each energy storage system to obtain an evaluation score of each energy storage system includes the following steps S004a to S004c:

[0110] S004a, parsing the configuration information of the energy storage system to obtain output voltage data, output current data, calibrated available power, and actual available power of the energy storage system.

[0111] S004b, analyzing the operating data of the energy storage system to obtain the probability of disconnection and voltage fluctuation of the energy storage system during operation.

[0112] S004c, the evaluation score formula for calculating the energy storage system is as shown in Formula 2;

[0113] Formula 2;

[0114] in, Provide an evaluation score for the energy storage system; is the output voltage data of the energy storage system; Output current data of the energy storage system; is the output power weight of the energy storage system; is the actual available power of the energy storage system; The calibrated available power of the energy storage system; is the health weight of the energy storage system; is the probability of the energy storage system being offline during operation; is the weight of the probability of offline of the energy storage system during operation; is the voltage fluctuation probability of the energy storage system during operation; is the weight of the voltage fluctuation probability of the energy storage system during operation.

[0115] Specifically, the evaluation and scoring of the energy storage system are based on the objective data of the energy storage system itself, so the evaluation score is more objective and reliable. The evaluation process is that the energy manager actively obtains the internal software and hardware parameters of the energy storage system, and then evaluates and scores it. After each energy storage system has been actively obtained by the energy manager once and received the score given by the energy manager, the timing starts. After a preset period, the energy manager will actively obtain the data of the energy storage system again and score it to update the evaluation score of the energy storage system.

[0116] At the same time, the energy manager can also connect to the newly added energy storage system and obtain data to update the database of the energy storage system. During this process, the energy manager will score the newly added energy storage system. Of course, the energy manager can also take the exited energy storage system offline or delete it to update the relevant data of the energy storage system in real time, provide stable data support for the deployment of the energy storage system, and improve the stability of the deployment of the energy storage system.

[0117] In this embodiment, the energy manager actively obtains data of each energy storage system and scores it, and updates the evaluation score of each energy storage system every preset period to improve the stability of the deployment of the energy storage system.

[0118] In one embodiment of the present application, the evaluation score based on the power demand information is a plurality of energy storage systems matching the power demand information, including the following S005a to S005d:

[0119] S005a, based on the score of the power demand information, calculate and obtain the evaluation level of the power demand information.

[0120] S005b, based on the evaluation score of each energy storage system, calculate the evaluation level of each energy storage system.

[0121] S005c, mapping the rating level of the power demand information to the corresponding evaluation level of the energy storage system, and obtaining the evaluation level of the matching energy storage system.

[0122] S005d, analyzing the evaluation levels of the matched energy storage systems to obtain at least one energy storage system.

[0123] Specifically, a rating level of electricity demand information maps to at least one evaluation level of an energy storage system, and a rating level of electricity demand information can also map to evaluation levels of multiple consecutive energy storage systems.

[0124] In this embodiment, the evaluation levels of the power demand information and the energy storage system are set and established, and then the evaluation levels of the power demand information and the energy storage system are mapped. Each evaluation level of the power demand information has at least one evaluation level of the energy storage system mapped to it, so that all energy storage systems in the evaluation level of the corresponding energy storage system are matching energy storage systems for the power demand information; a matching relationship of different qualities corresponding to different qualities is established, so that the resources of the energy storage system are fully and efficiently utilized.

[0125] In one embodiment of the present application, the scoring based on the power demand information to calculate the rating level of the power demand information includes the following S015a to S075a:

[0126] S015a, obtaining all historical electricity demand information, and calculating the evaluation score of each electricity demand information.

[0127] S025a, filtering out the highest score and the lowest score among the evaluation scores of all the power demand information.

[0128] S035a, taking the highest score as the maximum boundary value of the evaluation score of the electricity demand information, and taking the lowest score as the minimum boundary value of the evaluation score of the electricity demand information, thereby obtaining an estimated range of the evaluation score of the electricity demand information.

[0129] S045a, creating multiple evaluation levels of electricity demand information.

[0130] S055a, dividing the estimated range of evaluation scores of the electricity demand information from high to low based on the evaluation levels of the plurality of electricity demand information, and obtaining an estimated score range corresponding to the evaluation level of each electricity demand information.

[0131] S065a, obtaining a score for the power demand information.

[0132] S075a, obtaining the rating level of each electricity demand information based on the estimated score range corresponding to the evaluation level of the electricity demand information.

[0133] Specifically, if the evaluation score of the electricity demand information is higher than the evaluation score of all historical electricity demand information, the evaluation level of the electricity demand information is defined as the highest level, and the evaluation score of the electricity demand information is used to update the estimated range of the evaluation score of the electricity demand information.

[0134] If the evaluation scores of the electricity demand information are lower than the evaluation scores of all the historical electricity demand information, the evaluation level of the electricity demand information is defined as the lowest level, and the evaluation score of the electricity demand information is used to update the estimated range of the evaluation score of the electricity demand information.

[0135] In this embodiment, by counting all the electricity demand information in the historical supply data and scoring each electricity demand information, the evaluation scores of all the electricity demand information are sorted in order from large to small, and the highest score and the lowest score are used as the two boundary values ​​of the estimated range of the evaluation score of the electricity demand information. Then, the estimated range of the evaluation score of the electricity demand information is evenly divided, and the number of equal divisions is the same as the number of evaluation levels of the electricity demand information, thereby obtaining the evaluation level of each electricity demand information.

[0136] In one embodiment of the present application, the evaluation level of each energy storage system is calculated based on the evaluation score of each energy storage system, including the following S015b to S055b:

[0137] S015b, obtaining an evaluation score for each energy storage system.

[0138] S025b, filter out the highest and lowest scores among all the evaluation scores of the energy storage systems.

[0139] S035b, taking the highest score as the maximum boundary value of the evaluation score of the energy storage system, and taking the lowest score as the minimum boundary value of the evaluation score of the energy storage system, thereby obtaining an estimated range of the evaluation score of the energy storage system.

[0140] S045b, create evaluation levels for multiple energy storage systems.

[0141] S055b, based on the evaluation levels of the multiple energy storage systems, the estimated range of evaluation scores of the energy storage systems is evenly divided from high to low to obtain the estimated score range of the evaluation level of each energy storage system and the evaluation level of each energy storage system.

[0142] Specifically, if the evaluation score of an energy storage system is higher than the maximum boundary value of the estimated range of the evaluation score of the energy storage system, the evaluation level of the energy storage system is defined as the highest level, and the estimated range of the evaluation score of the energy storage system is updated with the evaluation score of the energy storage system.

[0143] If the evaluation score of an energy storage system is lower than the minimum boundary value of the estimated range of the evaluation score of the energy storage system, the evaluation level of the energy storage system is defined as the lowest level, and the estimated range of the evaluation score of the energy storage system is updated with the evaluation score of the energy storage system.

[0144] In this embodiment, the evaluation scores of all energy storage systems are counted and sorted in descending order, with the highest score and the lowest score as the two boundary values ​​of the estimated range of the evaluation scores of the energy storage systems. The estimated range of the evaluation scores of the energy storage systems is then evenly divided, and the number of evenly divided scores is the same as the number of evaluation levels of the energy storage systems, thereby obtaining the evaluation level of each energy storage system.

[0145] In one embodiment of the present application, selecting at least one target energy storage system from a plurality of matching energy storage systems based on the power demand information includes the following steps S006a to S006i:

[0146] S006a, parsing the power-time curve of the power demand in the power demand information to obtain the demand time information in the power demand information, wherein the demand time information includes a demand start time node and a demand end time node.

[0147] S006b, select a matching energy storage system.

[0148] S006c, parsing the matched energy storage system to obtain at least one adjustable time information in the matched energy storage system, wherein the adjustable time information includes an adjustable start time node and an adjustable end time node.

[0149] S006d, determining whether the available deployment start time node is less than or equal to the required start time node.

[0150] S006e: If the deployable start time node is greater than or equal to the demand start time node, return to execute the selection of a matching energy storage system.

[0151] S006f, if the available start time node is less than or equal to the required start time node, determine whether the available end time node is greater than or equal to the required end time node.

[0152] S006g: If the deployable end time node is less than the demand end time node, return to execute the selection of a matching energy storage system.

[0153] S006h: If the deployable end time node is greater than or equal to the demand end time node, the matching energy storage system is defined as the target energy storage system.

[0154] S006i, returning to the step of selecting a matching energy storage system until each matching energy storage system has been selected once.

[0155] In this embodiment, the energy storage systems are further screened in the time dimension for the electricity demand information based on the demand start time node and the demand end time node in the power-time curve of the electricity demand, so that all matching target energy storage systems can provide stable support for the scheduling in the time dimension.

[0156] In one embodiment of the present application, at least one target energy storage system is selected from a plurality of matching energy storage systems based on the power demand information, and then the energy storage device scheduling method further includes the following S016 to S066:

[0157] S016, select an evaluation level of the energy storage system.

[0158] S026, analyzing the evaluation level of the energy storage system, and obtaining all energy storage systems in the evaluation level of the energy storage system and the score of each energy storage system.

[0159] S036, sorting the obtained scores of all energy storage systems from large to small to obtain a sorting table.

[0160] S046, defining the energy storage system with the highest score in the sorting table as the master control end.

[0161] S056, defining other energy storage systems in the sorting table as slave ends of the master end.

[0162] S066, returning to selecting an evaluation level of an energy storage system until the evaluation level of each energy storage system has been selected once.

[0163] Specifically, when the energy manager is working normally, each energy storage system is connected to and communicates with the energy manager, and the energy manager is directly connected to and communicates with the host computer. When the energy manager is offline or fails, a separate election is conducted based on the evaluation level of each energy storage system, and an elected energy storage system is used as a temporary energy manager with the authority to connect and communicate with the host computer alone, and can send instructions to multiple energy storage systems of the same level under it.

[0164] In this embodiment, an alternative temporary energy manager rule is established so that when the energy manager does not work properly, each energy storage system can be scheduled normally, thereby improving the fault tolerance and operation stability of the entire scheduling method.

[0165] In one embodiment of the present application, the energy storage device scheduling method further includes the following S100 to S109:

[0166] S101, select an energy storage system.

[0167] S102, analyzing the energy storage system to obtain the GPS location and evaluation score of the energy storage system.

[0168] S103, using the GPS position of the energy storage system as the search center and the first distance as the radius to search and obtain multiple searched energy storage systems.

[0169] S104, obtaining an evaluation score of each searched energy storage system.

[0170] S105 , determining whether there is a searched energy storage system with an evaluation score greater than or equal to the evaluation score of the energy storage system.

[0171] S106: If there is no energy storage system being searched whose evaluation score is greater than or equal to the evaluation score of the energy storage system, define the energy storage system as a master control end, and define all the energy storage systems being searched as slaves of the master control end.

[0172] S107: If there is a searched energy storage system whose evaluation score is greater than or equal to the evaluation score of the energy storage system, the searched energy storage system with the highest score is screened out.

[0173] S108, taking the GPS position of the searched energy storage system with the highest evaluation score as the new search circle center, returning to perform the search with the first distance as the radius, and obtaining multiple searched energy storage systems.

[0174] S109, returning to the step of selecting an energy storage system until each energy storage system is defined.

[0175] Specifically, the master control end is a temporary energy manager, and the slave end of the master control end refers to the energy storage system managed by the temporary energy manager.

[0176] In this embodiment, by taking the GPS position of a random energy storage system as the physical search center and the first distance as the physical search radius, a search is performed on nearby energy storage systems to obtain a plurality of energy storage systems defined as searched energy storage systems, and then determining whether the evaluation scores of all searched energy storage systems are higher than the evaluation score of the energy storage system located at the search center. If not, the energy storage system located at the search center is defined as the master control end, and all searched energy storage systems are defined as slaves of the master control end. If there is a searched energy storage system with an evaluation score higher than the evaluation score of the energy storage system located at the search center, the searched energy storage system with the highest score is defined as the energy storage system at the search center, and the search is continued with the first distance as the radius to obtain a plurality of searched energy storage systems.

[0177] In one embodiment of the present application, after taking the GPS position of the searched energy storage system with the highest evaluation score as the new search circle center, returning to perform the search with the first distance as the radius to obtain multiple searched energy storage systems, the energy storage device scheduling method further includes the following S108a to S108g:

[0178] S108a, screening the multiple searched energy storage systems to obtain at least one defined energy storage system.

[0179] S108b, selecting a defined energy storage system.

[0180] S108c, obtaining an evaluation score of the defined energy storage system.

[0181] S108d, determining whether the evaluation score of the defined energy storage system is closer to the evaluation score of the energy storage system located at the center of the new search circle.

[0182] S108e: If the evaluation score of the defined energy storage system is closer to the evaluation score of the energy storage system located at the center of the new search circle, the definition of the defined energy storage system is updated.

[0183] S108f, if the evaluation score of the defined energy storage system is not closer to the evaluation score of the energy storage system located at the center of the new search circle, the definition of the defined energy storage system is maintained.

[0184] S108g, returning to the step of selecting a defined energy storage system until each defined energy storage system has been selected once.

[0185] Specifically, judging whether the evaluation score of the defined energy storage system is closer to the evaluation score of the energy storage system located at the center of the new search circle refers to subtracting the evaluation score of the defined energy storage system from the evaluation scores of the two energy storage systems located at the center of the search circle and calculating the absolute value. The smaller the absolute value obtained, the defined energy storage system is allocated to the corresponding energy storage system located at the center of the search circle as a slave end.

[0186] In this embodiment, by comparing the evaluation scores of the shared energy storage systems being searched with the evaluation scores of the energy storage systems at the centers of the two search circles in the case of two adjacent intersections and a shared energy storage system being searched, the searched energy storage system is assigned to an energy storage system at the center of the search circle with a closer score, thereby defining each energy storage system at the physical level to improve the convenience of management and the stability of connection and communication.

[0187] The technical features of the above-described embodiments may be arbitrarily combined, and the execution order of the method steps is not limited. To make the description concise, not all possible combinations of the technical features in the above-described embodiments are 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.

[0188] The above-described embodiments only express several implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the present application. It should be pointed out that, for a person of ordinary skill in the art, several variations and improvements can be made without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the attached claims.

Claims

1. A method for scheduling energy storage equipment, characterized in that: The energy storage device scheduling method comprises: Acquiring power demand information, wherein the power demand information includes a power-time curve of the power demand, a demand unit, and historical supply data; An evaluation score of the power demand information is calculated based on the power-time curve of the power demand, the demand unit, and the historical supply data; Obtain configuration information and operating data of each energy storage system; Based on the configuration information and operation data of each energy storage system, each energy storage system is evaluated to obtain an evaluation score for each energy storage system; A plurality of energy storage systems having evaluation scores based on the power demand information that match the power demand information; Selecting at least one target energy storage system from a plurality of matching energy storage systems based on the power demand information; The selecting at least one target energy storage system from a plurality of matching energy storage systems based on the power demand information includes: Parsing the power-time curve of the power demand in the power demand information to obtain the demand time information in the power demand information, wherein the demand time information includes a demand start time node and a demand end time node; Select a matching energy storage system; Parsing the matched energy storage system to obtain at least one adjustable time information in the matched energy storage system, wherein the adjustable time information includes an adjustable start time node and an adjustable end time node; Determine whether the available start time node is less than or equal to the required start time node; If the deployable start time node is greater than or equal to the demand start time node, return to execute the selection of a matching energy storage system; If the available start time node is less than or equal to the required start time node, determine whether the available end time node is greater than or equal to the required end time node; If the deployable end time node is less than the demand end time node, return to execute the selection of a matching energy storage system; If the deployable end time node is greater than or equal to the demand end time node, the matching energy storage system is defined as the target energy storage system; Returning to selecting a matching energy storage system until each matching energy storage system has been selected once; The at least one target energy storage system is selected from the matched multiple energy storage systems based on the power demand information, and then the energy storage device scheduling method further includes: Select an evaluation level for the energy storage system; Analyze the evaluation level of the energy storage system, and obtain all energy storage systems in the evaluation level of the energy storage system and the score of each energy storage system; Sort the scores of all energy storage systems obtained from large to small to obtain a ranking table; The energy storage system with the highest score in the ranking list is defined as the master control end; Define the other energy storage systems in the sorting table as slaves of the master control end; Return to select an evaluation level of an energy storage system until the evaluation level of each energy storage system has been selected once; Calculate the sum of the available power of all target energy storage systems and record it as the total available power; Determine whether the required power calculated from the power-time curve of the power demand is less than or equal to the total available power; If the required power is less than or equal to the total available power, the power dispatch demand is predicted to be met; If the required power is greater than the total available power, the forecast does not meet the power dispatch demand; The energy storage device scheduling method further includes: Select an energy storage system; Analyze the energy storage system to obtain the GPS location and evaluation score of the energy storage system; Using the GPS position of the energy storage system as the search center and the first distance as the radius to search, a plurality of searched energy storage systems are obtained; Obtain the evaluation score of each searched energy storage system; Determine whether there is a searched energy storage system whose evaluation score is greater than or equal to the evaluation score of the energy storage system; If there is no energy storage system being searched whose evaluation score is greater than or equal to the evaluation score of the energy storage system, then the energy storage system is defined as the master control end, and all the energy storage systems being searched are defined as slaves of the master control end; If there is a searched energy storage system whose evaluation score is greater than or equal to the evaluation score of the energy storage system, the searched energy storage system with the highest score is selected; The GPS position of the searched energy storage system with the highest evaluation score is used as the new search circle center, and the search is performed again with the first distance as the radius to obtain multiple searched energy storage systems; Returning to selecting an energy storage system until each energy storage system is defined; After taking the GPS position of the searched energy storage system with the highest evaluation score as the new search circle center, returning to perform the search with the first distance as the radius to obtain multiple searched energy storage systems, the energy storage device scheduling method further includes: Screening the obtained multiple searched energy storage systems to obtain at least one defined energy storage system; Select a defined energy storage system; Obtaining an evaluation score of the defined energy storage system; Determine whether the evaluation score of the defined energy storage system is closer to the evaluation score of the energy storage system located at the center of the new search circle; If the evaluation score of the defined energy storage system is closer to the evaluation score of the energy storage system located at the center of the new search circle, the definition of the defined energy storage system is updated; If the evaluation score of the defined energy storage system is not closer to the evaluation score of the energy storage system located at the new search circle center, maintaining the definition of the defined energy storage system; Return to selecting a defined energy storage system until each defined energy storage system has been selected once.

2. The energy storage device scheduling method according to claim 1, characterized in that: The evaluation of the power demand information calculated based on the power-time curve of the power demand, the demand unit, and the historical supply data includes: Analyze the power-time curve of the power demand to obtain the total power demand; Using the demand unit as the index, retrieve the historical supply data, the number of historical supplies and the number of default behaviors to the demand unit; The evaluation score formula for calculating the power demand information is as shown in Formula 1; P1=E×A+α×B-β×C Formula 1; Among them, P1 is the evaluation score of electricity demand information; E is the total electricity demand; A is the weight of the total electricity demand; α is the historical supply times of the demand unit; B is the weight of the historical supply times of the demand unit; β is the historical breach of contract times of the demand unit; C is the weight of the historical breach of contract times of the demand unit.

3. The energy storage device scheduling method according to claim 2, characterized in that: The step of evaluating each energy storage system based on the configuration information and operation data of each energy storage system to obtain an evaluation score of each energy storage system includes: Analyze the configuration information of the energy storage system to obtain the output voltage data, output current data, calibrated available power and actual available power of the energy storage system; Analyze the operating data of the energy storage system to obtain the probability of disconnection and voltage fluctuation during the operation of the energy storage system; The formula for calculating the evaluation score of the energy storage system is as shown in Formula 2; in, P 2 is the evaluation score of the energy storage system; U is the output voltage data of the energy storage system; I Output current data of the energy storage system; D is the output power weight of the energy storage system; E 1 is the actual available power of the energy storage system; E 2 is the rated available power of the energy storage system; F is the health weight of the energy storage system; p 1 is the probability of the energy storage system being offline during operation; G is the weight of the probability of offline of the energy storage system during operation; p 2 is the voltage fluctuation probability of the energy storage system during operation; H is the weight of the voltage fluctuation probability of the energy storage system during operation.

4. The energy storage device scheduling method according to claim 3, characterized in that: The evaluation scores based on the power demand information are multiple energy storage systems matching the power demand information, including: Based on the score of the power demand information, the evaluation level of the power demand information is calculated; Based on the evaluation score of each energy storage system, the evaluation level of each energy storage system is calculated; The rating level of the energy storage system corresponding to the rating level of the power demand information is mapped to obtain the evaluation level of the matching energy storage system; The evaluation levels of the matched energy storage systems are analyzed to obtain at least one energy storage system.

5. The energy storage device scheduling method according to claim 4, characterized in that: The scoring based on the power demand information is used to calculate the rating level of the power demand information, including: Obtain all historical electricity demand information and calculate the evaluation score of each electricity demand information; Filter out the highest and lowest scores among all the evaluation scores of the power demand information; The highest score is used as the maximum boundary value of the evaluation score of the power demand information, and the lowest score is used as the minimum boundary value of the evaluation score of the power demand information, thereby obtaining an estimated range of the evaluation score of the power demand information; Create multiple evaluation levels of power demand information; Based on the evaluation levels of the plurality of electricity demand information, the estimated evaluation score range of the electricity demand information is evenly divided from high to low to obtain the estimated score range corresponding to the evaluation level of each electricity demand information; Obtain a score for the power demand information; Based on the estimated score range corresponding to the evaluation level of each piece of electricity demand information, the rating level of the electricity demand information is obtained.

6. The energy storage device scheduling method according to claim 5, characterized in that: The evaluation level of each energy storage system is calculated based on the evaluation score of each energy storage system, including: Obtain the evaluation score of each energy storage system; Filter out the highest and lowest scores among all the energy storage system evaluation scores; The highest score is taken as the maximum boundary value of the evaluation score of the energy storage system, and the lowest score is taken as the minimum boundary value of the evaluation score of the energy storage system, thereby obtaining the estimated range of the evaluation score of the energy storage system; Create multiple rating scales for energy storage systems; Based on the evaluation levels of multiple energy storage systems, the estimated range of evaluation scores of the energy storage systems is evenly divided from high to low to obtain the estimated score range of the evaluation level of each energy storage system and the evaluation level of each energy storage system.

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