Resource scheduling method and system based on shared energy storage cloud platform, and medium

Abstract

The invention provides a resource scheduling method and system based on a shared energy storage cloud platform and a medium. The method comprises the steps of obtaining energy storage available power data and equipment characteristic data of energy storage equipment, performing processing according to the equipment characteristic data, obtaining a performance level corresponding to the energy storage equipment, obtaining energy storage demand data of a user, and obtaining the energy storage demand data of the user; obtaining a corresponding resource scheduling sub-scheme according to the energy storage available electric quantity data and the user energy storage demand data in combination with the performance level, implementing resource scheduling to the user according to the resource scheduling sub-scheme, obtaining and processing resource scheduling evaluation data, obtaining a resource scheduling evaluation index, and performing threshold comparison to obtain a resource scheduling evaluation result; determining a resource scheduling operation state according to a threshold comparison result; therefore, unified management and optimal scheduling of the distributed energy storage equipment are realized, and the resource utilization rate, the response efficiency and the scheduling effectiveness are improved.

Description

Technical Field

[0001] The present application relates to the field of shared energy storage technology, and in particular to a resource scheduling method, system and medium based on a shared energy storage cloud platform. Background Art

[0002] With the continuous growth of global energy demand and the large-scale application of renewable energy, energy storage technology plays an increasingly important role in modern energy systems. Energy storage power stations and distributed energy systems have become important means to balance grid loads and improve energy efficiency. However, traditional energy storage systems often operate independently and lack unified management and optimized scheduling, resulting in low resource utilization, unreasonable scheduling schemes, slow response speeds and other problems.

[0003] In view of the above problems, effective technical solutions are urgently needed. Summary of the invention

[0004] The purpose of the present application is to provide a resource scheduling method, system and medium based on a shared energy storage cloud platform, which can obtain energy storage available power data and device characteristic data of energy storage devices, process them according to the device characteristic data, obtain the performance level corresponding to the energy storage device, obtain user energy storage demand data, obtain the corresponding resource scheduling sub-plan according to the energy storage available power data and the user energy storage demand data combined with the performance level, implement resource scheduling for users according to the resource scheduling sub-plan, realize unified management and optimized scheduling of distributed energy storage devices, and improve resource utilization, response efficiency and scheduling effectiveness.

[0005] The present application also provides a resource scheduling method based on a shared energy storage cloud platform, comprising the following steps:

[0006] Obtain the energy storage available power data and device characteristic data of the energy storage equipment in the shared energy storage cloud platform, process the device characteristic data, and obtain the corresponding performance level of the energy storage equipment;

[0007] Obtain user energy storage demand data, including energy storage demand power data and energy storage demand time data;

[0008] Obtaining a corresponding resource scheduling sub-plan according to the energy storage available power data and the user energy storage demand data in combination with the performance level, including the discharge power and discharge time corresponding to the equipment;

[0009] Implement resource scheduling for users according to the resource scheduling sub-scheme, obtain resource scheduling evaluation data and process it to obtain a resource scheduling evaluation index;

[0010] The resource scheduling evaluation index is compared with a preset resource scheduling evaluation threshold, and the resource scheduling operation state is determined according to the threshold comparison result.

[0011] Optionally, in the resource scheduling method based on the shared energy storage cloud platform described in the present application, the step of obtaining the energy storage available power data and the device characteristic data of the energy storage device in the shared energy storage cloud platform and processing the device characteristic data to obtain the performance level corresponding to the energy storage device includes:

[0012] Obtaining energy storage available power data and device characteristic data of energy storage devices in the shared energy storage cloud platform, wherein the device characteristic data includes capacity attenuation rate, charge and discharge response time data, and power conversion efficiency;

[0013] Input the capacity decay rate, charge and discharge response time data and power conversion efficiency into a preset energy storage device performance evaluation model for processing to obtain a performance evaluation index corresponding to the energy storage device;

[0014] The performance evaluation index is compared with a preset performance evaluation threshold, and the performance level corresponding to the energy storage device is determined according to the range to which the threshold comparison result belongs, including primary performance, secondary performance or tertiary performance.

[0015] Optionally, in the resource scheduling method based on the shared energy storage cloud platform described in the present application, the performance evaluation index is compared with a preset performance evaluation threshold, and the performance level corresponding to the energy storage device is determined according to the range to which the threshold comparison result belongs, including primary performance, secondary performance or tertiary performance, including:

[0016] Comparing the performance evaluation index with a preset performance evaluation threshold, wherein the preset performance evaluation threshold includes a first preset performance evaluation threshold and a second preset performance evaluation threshold, and the first preset performance evaluation threshold is less than the second preset performance evaluation threshold;

[0017] If the performance evaluation index is less than or equal to the first preset performance evaluation threshold, it corresponds to the first-level performance;

[0018] If the performance evaluation index is greater than the first preset performance evaluation threshold and less than or equal to the second preset performance evaluation threshold, it corresponds to the second-level performance;

[0019] If the performance evaluation index is greater than a second preset performance evaluation threshold, it corresponds to level three performance.

[0020] Optionally, in the resource scheduling method based on the shared energy storage cloud platform described in the present application, the corresponding resource scheduling sub-scheme is obtained according to the energy storage available power data and the user energy storage demand data in combination with the performance level, including the discharge power and discharge time corresponding to the equipment, including:

[0021] If the energy storage available power data is greater than or equal to the energy storage required power data, then the available power storage of the third-level performance equipment is obtained;

[0022] If the available power storage capacity of the third-level performance equipment is greater than the energy storage demand power data, then a first resource scheduling sub-plan is obtained in combination with the energy storage demand time data;

[0023] If the available storage capacity of the third-level performance equipment is less than or equal to the energy storage demand power data, the available storage capacity of the second-level performance equipment is obtained;

[0024] If the sum of the available storage capacity of the third-level performance equipment and the available storage capacity of the second-level performance equipment is greater than the energy storage demand power data, then a second resource scheduling sub-plan is obtained in combination with the energy storage demand time data;

[0025] If the sum of the available storage capacity of the third-level performance equipment and the available storage capacity of the second-level performance equipment is less than or equal to the energy storage demand power data, the available storage capacity of the first-level performance equipment is obtained, and the third resource scheduling sub-plan is obtained in combination with the energy storage demand time data;

[0026] If the energy storage available power data is less than the energy storage required power data, obtaining the energy storage difference;

[0027] A fourth resource scheduling sub-scheduling scheme is obtained according to the energy storage available power data and the energy storage difference in combination with the energy storage demand time data.

[0028] Optionally, in the resource scheduling method based on the shared energy storage cloud platform described in the present application, implementing resource scheduling for users according to the resource scheduling sub-scheme, acquiring resource scheduling evaluation data and processing it, and obtaining a resource scheduling evaluation index include:

[0029] Implement resource scheduling for users according to the resource scheduling sub-scheme;

[0030] Obtain resource scheduling evaluation data, including resource utilization, user grid voltage fluctuation rate, and user score;

[0031] According to the resource utilization rate, the user power grid voltage fluctuation rate and the user score, a preset weight value list is queried to obtain the corresponding resource utilization weight value, voltage fluctuation weight value and user score weight value;

[0032] The resource utilization rate, user grid voltage fluctuation rate and user score are respectively multiplied by the corresponding resource utilization weight value, voltage fluctuation weight value and user score weight value and accumulated to obtain a resource scheduling evaluation index.

[0033] Optionally, in the resource scheduling method based on the shared energy storage cloud platform described in the present application, the resource scheduling evaluation index is compared with a preset resource scheduling evaluation threshold, and the resource scheduling operation state is determined according to the threshold comparison result, including:

[0034] Comparing the resource scheduling evaluation index with a preset resource scheduling evaluation threshold;

[0035] If it is less than or equal to the resource scheduling assessment threshold, the resource scheduling operation status is abnormal, and a resource scheduling strategy adjustment warning is output;

[0036] If it is greater than the resource scheduling evaluation threshold, the resource scheduling operation status is normal and no adjustment is made.

[0037] In a second aspect, the present application provides a resource scheduling system based on a shared energy storage cloud platform, the system comprising: a memory and a processor, the memory comprising a program of a resource scheduling method based on a shared energy storage cloud platform, the program of the resource scheduling method based on a shared energy storage cloud platform being executed by the processor to implement the following steps:

[0038] Obtain the energy storage available power data and device characteristic data of the energy storage equipment in the shared energy storage cloud platform, process the device characteristic data, and obtain the corresponding performance level of the energy storage equipment;

[0039] Obtain user energy storage demand data, including energy storage demand power data and energy storage demand time data;

[0040] Obtaining a corresponding resource scheduling sub-plan according to the energy storage available power data and the user energy storage demand data in combination with the performance level, including the discharge power and discharge time corresponding to the equipment;

[0041] Implement resource scheduling for users according to the resource scheduling sub-scheme, obtain resource scheduling evaluation data and process it to obtain a resource scheduling evaluation index;

[0042] The resource scheduling evaluation index is compared with a preset resource scheduling evaluation threshold, and the resource scheduling operation state is determined according to the threshold comparison result.

[0043] Optionally, in a resource scheduling system based on a shared energy storage cloud platform described in the present application, the step of obtaining energy storage available power data and device characteristic data of energy storage devices in the shared energy storage cloud platform and processing the device characteristic data to obtain a performance level corresponding to the energy storage device includes:

[0044] Obtaining energy storage available power data and device characteristic data of energy storage devices in the shared energy storage cloud platform, wherein the device characteristic data includes capacity attenuation rate, charge and discharge response time data, and power conversion efficiency;

[0045] Input the capacity decay rate, charge and discharge response time data and power conversion efficiency into a preset energy storage device performance evaluation model for processing to obtain a performance evaluation index corresponding to the energy storage device;

[0046] The performance evaluation index is compared with a preset performance evaluation threshold, and the performance level corresponding to the energy storage device is determined according to the range to which the threshold comparison result belongs, including primary performance, secondary performance or tertiary performance.

[0047] Optionally, in a resource scheduling system based on a shared energy storage cloud platform described in the present application, the performance evaluation index is compared with a preset performance evaluation threshold, and the performance level corresponding to the energy storage device is determined according to the range to which the threshold comparison result belongs, including primary performance, secondary performance or tertiary performance, including:

[0048] Comparing the performance evaluation index with a preset performance evaluation threshold, wherein the preset performance evaluation threshold includes a first preset performance evaluation threshold and a second preset performance evaluation threshold, and the first preset performance evaluation threshold is less than the second preset performance evaluation threshold;

[0049] If the performance evaluation index is less than or equal to the first preset performance evaluation threshold, it corresponds to the first-level performance;

[0050] If the performance evaluation index is greater than the first preset performance evaluation threshold and less than or equal to the second preset performance evaluation threshold, it corresponds to the second-level performance;

[0051] If the performance evaluation index is greater than a second preset performance evaluation threshold, it corresponds to level three performance.

[0052] In a third aspect, the present application also provides a computer-readable storage medium, which stores a resource scheduling method program based on a shared energy storage cloud platform. When the resource scheduling method program based on a shared energy storage cloud platform is executed by a processor, the steps of the resource scheduling method based on a shared energy storage cloud platform as described in any one of the above items are implemented.

[0053] As can be seen from the above, the present application provides a resource scheduling method, system and medium based on a shared energy storage cloud platform, which obtains the energy storage available power data and device characteristic data of the energy storage device, processes the data according to the device characteristic data, obtains the performance level corresponding to the energy storage device, obtains the user's energy storage demand data, obtains the corresponding resource scheduling sub-plan according to the energy storage available power data and the user's energy storage demand data combined with the performance level, and implements resource scheduling to the user according to the resource scheduling sub-plan, thereby realizing unified management and optimized scheduling of distributed energy storage devices, and improving resource utilization, response efficiency and scheduling effectiveness.

[0054] Other features and advantages of the present application will be described in the following description, and partly become apparent from the description, or understood by practicing the embodiments of the present application. The purpose and other advantages of the present application can be realized and obtained by the structures specifically pointed out in the written description and the drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0055] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required for use in the embodiments of the present application will be briefly introduced below. It should be understood that the following drawings only show certain embodiments of the present application and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without paying creative work.

[0056] Figure 1 A flow chart of a resource scheduling method based on a shared energy storage cloud platform provided in an embodiment of the present application;

[0057] Figure 2 A flow chart of obtaining the performance level corresponding to the energy storage device in the resource scheduling method based on the shared energy storage cloud platform provided in the embodiment of the present application;

[0058] Figure 3 A flow chart of obtaining a resource scheduling sub-scheme of a resource scheduling method based on a shared energy storage cloud platform provided in an embodiment of the present application;

[0059] Figure 4 A flow chart of obtaining a resource scheduling evaluation index for a resource scheduling method based on a shared energy storage cloud platform provided in an embodiment of the present application. DETAILED DESCRIPTION

[0060] The technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all of the embodiments. The components of the embodiments of the present application described and shown in the drawings here can be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of the present application provided in the drawings is not intended to limit the scope of the application claimed for protection, but merely represents the selected embodiments of the present application. Based on the embodiments of the present application, all other embodiments obtained by those skilled in the art without making creative work belong to the scope of protection of the present application.

[0061] It should be noted that similar reference numerals and letters represent similar items in the following drawings, so once an item is defined in one drawing, it does not need to be further defined and explained in subsequent drawings. At the same time, in the description of this application, the terms "first", "second", etc. are only used to distinguish the description and cannot be understood as indicating or implying relative importance.

[0062] Please refer to Figure 1 , Figure 1The following is a flow chart of a resource scheduling method based on a shared energy storage cloud platform in some embodiments of the present application. The resource scheduling method based on a shared energy storage cloud platform is used in a terminal device, such as a computer, a mobile phone terminal, etc. The resource scheduling method based on a shared energy storage cloud platform includes the following steps:

[0063] S11, obtaining energy storage available power data and device characteristic data of energy storage devices in the shared energy storage cloud platform, processing according to the device characteristic data, and obtaining the performance level corresponding to the energy storage device;

[0064] S12, obtaining user energy storage demand data, including energy storage demand power data and energy storage demand time data;

[0065] S13, obtaining a corresponding resource scheduling sub-plan according to the energy storage available power data and the user energy storage demand data in combination with the performance level, including the discharge power and discharge time corresponding to the equipment;

[0066] S14, implementing resource scheduling for the user according to the resource scheduling sub-scheme, acquiring resource scheduling evaluation data and processing it to obtain a resource scheduling evaluation index;

[0067] S15: Perform a threshold comparison between the resource scheduling evaluation index and a preset resource scheduling evaluation threshold, and determine the resource scheduling operation status according to the threshold comparison result.

[0068] It should be noted that in order to realize the resource scheduling of distributed energy storage equipment, the energy storage available power data and equipment characteristic data of the equipment in the shared energy storage cloud platform are first obtained, and the equipment characteristic data are processed to obtain the corresponding performance level of the energy storage equipment, including primary performance, secondary performance or tertiary performance; then, by obtaining the user energy storage demand data including energy storage demand power data and energy storage demand time data, the user's power demand and demand time are clarified; according to the energy storage available power data and the user's energy storage demand data combined with the performance level, the corresponding resource scheduling sub-plan is obtained, including the corresponding discharge power and discharge time of the equipment; after determining the resource scheduling sub-plan, resource scheduling is implemented for the user, and during and after the implementation, resource scheduling evaluation data including resource utilization rate, user grid voltage fluctuation rate and user score are obtained and processed to obtain the resource scheduling evaluation index, and finally the resource scheduling operation status is determined by threshold comparison, and the resource scheduling sub-plan is optimized in time.

[0069] Please refer to Figure 2 , Figure 2The present invention is a flowchart of a resource scheduling method based on a shared energy storage cloud platform in some embodiments of the present application for obtaining a performance level corresponding to an energy storage device. According to an embodiment of the present invention, the method of obtaining energy storage available power data and device characteristic data of an energy storage device in a shared energy storage cloud platform is processed according to the device characteristic data to obtain a performance level corresponding to the energy storage device, including:

[0070] S21, obtaining energy storage available power data and device characteristic data of energy storage devices in the shared energy storage cloud platform, wherein the device characteristic data includes capacity attenuation rate, charge and discharge response time data and power conversion efficiency;

[0071] S22, inputting the capacity decay rate, charge and discharge response time data and power conversion efficiency into a preset energy storage device performance evaluation model for processing to obtain a performance evaluation index corresponding to the energy storage device;

[0072] S23, performing a threshold comparison between the performance evaluation index and a preset performance evaluation threshold, and determining a performance level corresponding to the energy storage device according to a range to which the threshold comparison result belongs, including first-level performance, second-level performance or third-level performance.

[0073] It should be noted that in order to ensure the optimization of resource scheduling, the health status of the equipment in the shared energy storage cloud platform is first determined, and the discharge power is allocated according to the equipment monitoring status. The energy storage available power data and equipment characteristic data of the energy storage equipment are obtained, where the energy storage available power data refers to the total maximum allowable discharge capacity of the equipment in the standby state, and the equipment characteristic data includes the capacity decay rate, the charge and discharge response time data and the power conversion efficiency. The capacity decay rate, the charge and discharge response time data and the power conversion efficiency are input into the preset energy storage equipment performance evaluation model for processing to obtain the performance evaluation index corresponding to the energy storage equipment;

[0074] The performance evaluation index calculation formula in the energy storage device performance evaluation model is:

[0075]

[0076] Among them, x p is the performance evaluation index, r s ,t c 、x g are capacity attenuation rate, charge and discharge response time data and power conversion efficiency respectively, and χ, γ, and κ are preset characteristic coefficients (the characteristic coefficients are obtained by querying the preset energy storage resource scheduling platform);

[0077] The obtained performance evaluation index is compared with the preset performance evaluation threshold, and the performance level corresponding to the energy storage device is determined according to the range of the threshold comparison result, including primary performance, secondary performance or tertiary performance, among which the third-level performance indicates the best equipment performance.

[0078] According to an embodiment of the present invention, the performance evaluation index is compared with a preset performance evaluation threshold, and the performance level corresponding to the energy storage device is determined according to the range to which the threshold comparison result belongs, including primary performance, secondary performance or tertiary performance, including:

[0079] Comparing the performance evaluation index with a preset performance evaluation threshold, wherein the preset performance evaluation threshold includes a first preset performance evaluation threshold and a second preset performance evaluation threshold, and the first preset performance evaluation threshold is less than the second preset performance evaluation threshold;

[0080] If the performance evaluation index is less than or equal to the first preset performance evaluation threshold, it corresponds to the first-level performance;

[0081] If the performance evaluation index is greater than the first preset performance evaluation threshold and less than or equal to the second preset performance evaluation threshold, it corresponds to the second-level performance;

[0082] If the performance evaluation index is greater than a second preset performance evaluation threshold, it corresponds to level three performance.

[0083] It should be noted that the performance evaluation index is compared with the preset performance evaluation threshold. In this embodiment, the performance evaluation threshold is set to (0, 0.4], (0.4, 0.7], (0.7, 1], corresponding to the first-level performance, the second-level performance, and the third-level performance, respectively. For example, if the obtained performance evaluation index is 0.3, it corresponds to the first-level performance; if the obtained performance evaluation index is 0.6, it corresponds to the second-level performance; if the obtained performance evaluation index is 0.8, it corresponds to the third-level performance.

[0084] Please refer to Figure 3 , Figure 3 It is a flow chart of obtaining a resource scheduling sub-scheme of a resource scheduling method based on a shared energy storage cloud platform in some embodiments of the present application. According to an embodiment of the present invention, the corresponding resource scheduling sub-scheme is obtained according to the energy storage available power data and the user energy storage demand data combined with the performance level, including the discharge power and discharge time corresponding to the equipment, including:

[0085] S31. If the energy storage available power data is greater than or equal to the energy storage required power data, then obtain the available power storage of the third-level performance equipment;

[0086] S32: if the available storage capacity of the third-level performance equipment is greater than the energy storage demand capacity data, then obtain a first resource scheduling sub-plan in combination with the energy storage demand time data;

[0087] S33. If the available storage capacity of the third-level performance equipment is less than or equal to the energy storage demand power data, then obtain the available storage capacity of the second-level performance equipment;

[0088] S34, if the sum of the available storage capacity of the third-level performance equipment and the available storage capacity of the second-level performance equipment is greater than the energy storage demand power data, then obtain a second resource scheduling sub-plan in combination with the energy storage demand time data;

[0089] S35. If the sum of the available storage capacity of the third-level performance equipment and the available storage capacity of the second-level performance equipment is less than or equal to the energy storage demand power data, obtain the available storage capacity of the first-level performance equipment, and obtain the third resource scheduling sub-plan in combination with the energy storage demand time data;

[0090] S36. If the energy storage available power data is less than the energy storage required power data, obtaining the energy storage difference;

[0091] S37. Obtain a fourth resource scheduling sub-plan according to the energy storage available power data and the energy storage difference in combination with the energy storage demand time data.

[0092] It should be noted that in order to maximize the service life of the equipment, overcharging and over-discharging should be avoided. Therefore, when determining the resource scheduling sub-plan, attention should be paid to power allocation; if the energy storage available power data is greater than or equal to the energy storage demand power data, it means that the energy storage equipment meets the user's needs. According to the equipment performance level, it is prioritized to determine whether the third-level performance equipment meets the user's needs, and the available storage power of the third-level performance equipment is obtained. If the available storage power of the third-level performance equipment is greater than the energy storage demand power data, the first resource scheduling sub-plan is obtained in combination with the energy storage demand time data, including the corresponding discharge power and discharge time; similarly, the second and third resource scheduling sub-plans are obtained; if the energy storage available power data is less than the energy storage demand power data, it means that the energy storage equipment alone cannot meet the user's needs. If there is a demand, the energy storage difference is obtained, that is, the energy storage demand is subtracted from the available energy storage, the energy storage difference is dispatched through the mains, and the fourth resource scheduling sub-scheme is obtained in combination with the energy storage demand time; in this embodiment, the same-level performance devices are allocated discharge power according to the strategy of the energy storage rate corresponding to the device, and the energy storage rate corresponding to the device refers to the energy storage capacity of a device in the same-level performance devices divided by the total energy storage capacity of the same-level performance devices; different levels of equipment are allocated according to a preset ratio, for example, in the second resource scheduling sub-scheme, the third-level performance devices are allocated 60%, the second-level performance devices are allocated 40%, and in the third resource scheduling sub-scheme, the third-level performance devices are allocated 60%, the second-level performance devices are allocated 20%, and the first-level performance devices are allocated 20%. The specific allocation ratio is adjusted according to the specific application scenario.

[0093] Please refer to Figure 4 , Figure 4The flowchart of obtaining a resource scheduling evaluation index of a resource scheduling method based on a shared energy storage cloud platform in some embodiments of the present application. According to an embodiment of the present invention, implementing resource scheduling for a user according to the resource scheduling sub-scheme, obtaining resource scheduling evaluation data and processing it, and obtaining a resource scheduling evaluation index include:

[0094] S41, implementing resource scheduling for the user according to the resource scheduling sub-scheme;

[0095] S42, obtaining resource scheduling evaluation data, including resource utilization, user grid voltage fluctuation rate and user score;

[0096] S43, querying a preset weight value list according to the resource utilization rate, the user grid voltage fluctuation rate and the user score, and obtaining corresponding resource utilization weight values, voltage fluctuation weight values ​​and user score weight values;

[0097] S44. Multiply the resource utilization rate, the user grid voltage fluctuation rate and the user score by the corresponding resource utilization weight value, voltage fluctuation weight value and user score weight value respectively and add them up to obtain a resource scheduling evaluation index.

[0098] It should be noted that after the resource scheduling sub-scheme is determined, the corresponding equipment is controlled according to the discharge power and discharge time to implement resource scheduling, and resource scheduling evaluation data including resource utilization rate, user grid voltage fluctuation rate and user score are obtained to evaluate the effectiveness of resource scheduling, wherein the resource utilization rate refers to the actual discharge amount in the preset time period divided by the total capacity of the energy storage device, the user grid voltage fluctuation rate refers to the ratio of the standard deviation of the voltage to the average voltage in the preset time period, and the user score refers to the score feedback from the user after the implementation of the resource scheduling sub-scheme is completed, and the score range is 0-10 points. The higher the score, the better the implementation effect; query the preset weight value list according to the resource utilization rate, the user grid voltage fluctuation rate and the user score, and obtain the corresponding resource utilization weight value, voltage fluctuation weight value and user score weight value, wherein the weight value list is provided by the shared energy storage platform; multiply the resource utilization rate, the user grid voltage fluctuation rate and the user score by the corresponding resource utilization weight value, voltage fluctuation weight value and user score weight value respectively and add them up to obtain the resource scheduling evaluation index;

[0099] The resource scheduling evaluation index calculation formula is:

[0100] d z =r l q z +v b q v +a p q a ;

[0101] Among them, d zResource scheduling evaluation index, r l 、v b 、a p ,q z ,q v ,q a They are resource utilization rate, user grid voltage fluctuation rate, user score, resource utilization weight value, voltage fluctuation weight value and user score weight value.

[0102] According to an embodiment of the present invention, performing a threshold comparison between the resource scheduling evaluation index and a preset resource scheduling evaluation threshold, and determining the resource scheduling operation state according to the threshold comparison result, includes:

[0103] Comparing the resource scheduling evaluation index with a preset resource scheduling evaluation threshold;

[0104] If it is less than or equal to the resource scheduling assessment threshold, the resource scheduling operation status is abnormal, and a resource scheduling strategy adjustment warning is output;

[0105] If it is greater than the resource scheduling evaluation threshold, the resource scheduling operation status is normal and no adjustment is made.

[0106] It should be noted that the obtained resource scheduling evaluation index is compared with the preset resource scheduling evaluation threshold. In this embodiment, the preset resource scheduling evaluation threshold is set to (0, 0.75], (0.75, 1]. For example, if the obtained resource scheduling evaluation index is 0.65, it corresponds to an abnormal state, and a resource scheduling strategy adjustment warning is output at the same time. If the obtained resource scheduling evaluation index is 0.85, it corresponds to a normal state, indicating that the implementation effect of the resource scheduling sub-scheme is good and no adjustment is required.

[0107] It is worth mentioning that according to an embodiment of the present invention, if the available power storage amount of the third-level performance equipment is greater than the energy storage demand power data, then the first resource scheduling sub-scheme is obtained in combination with the energy storage demand time data, including:

[0108] Obtain the available power storage corresponding to the third-level performance equipment;

[0109] Processing is performed according to the available storage capacity corresponding to the third-level performance equipment to obtain the storage rate corresponding to the third-level performance equipment;

[0110] According to the power storage rate and the corresponding discharge power of the distribution equipment;

[0111] Determining a discharge time according to the energy storage demand time data;

[0112] A first resource scheduling sub-plan is obtained according to the discharge power and the discharge time.

[0113] It should be noted that in order to obtain the first resource scheduling sub-scheme, the available power storage corresponding to the three-level performance equipment is first obtained, and the available power storage corresponding to the three-level performance equipment is summed to obtain the total power storage of the three-level performance equipment. The available power storage corresponding to the equipment is divided by the total power storage of the three-level performance equipment to obtain the power storage rate corresponding to the three-level performance equipment. For example, there are 5 three-level performance equipments, and the available power storage is 100, 200, 300, 400, and 500 kW·h respectively. The total power storage of the three-level performance equipment is 1500 kW·h, then the corresponding power storage rate is 100 / 1500=0.07, 200 / 1500=0.13, 300 / 1500=0. / 1500=0.2, 400 / 1500=0.27, 500 / 1500=0.33, multiply the storage rate by the energy storage demand data to allocate the corresponding discharge power of the equipment. For example, if the energy storage demand is 500kW·h, the discharge powers allocated to the five devices are 0.07*500=35, 0.13*500=65, 0.2*500=100, 0.27*500=135, 0.33*500=165kW·h respectively; determine the specific discharge time according to the energy storage demand time data; finally, obtain the first resource scheduling sub-plan according to the allocated discharge power and the determined discharge time.

[0114] The present invention also discloses a resource scheduling system based on a shared energy storage cloud platform, comprising a memory and a processor, wherein the memory comprises a resource scheduling method program based on the shared energy storage cloud platform, and when the resource scheduling method program based on the shared energy storage cloud platform is executed by the processor, the following steps are implemented:

[0115] Obtain the energy storage available power data and device characteristic data of the energy storage equipment in the shared energy storage cloud platform, process the device characteristic data, and obtain the corresponding performance level of the energy storage equipment;

[0116] Obtain user energy storage demand data, including energy storage demand power data and energy storage demand time data;

[0117] Obtaining a corresponding resource scheduling sub-plan according to the energy storage available power data and the user energy storage demand data in combination with the performance level, including the discharge power and discharge time corresponding to the equipment;

[0118] Implement resource scheduling for users according to the resource scheduling sub-scheme, obtain resource scheduling evaluation data and process it to obtain a resource scheduling evaluation index;

[0119] The resource scheduling evaluation index is compared with a preset resource scheduling evaluation threshold, and the resource scheduling operation state is determined according to the threshold comparison result.

[0120] It should be noted that in order to realize the resource scheduling of distributed energy storage equipment, the energy storage available power data and equipment characteristic data of the equipment in the shared energy storage cloud platform are first obtained, and the equipment characteristic data are processed to obtain the corresponding performance level of the energy storage equipment, including primary performance, secondary performance or tertiary performance; then, by obtaining the user energy storage demand data including energy storage demand power data and energy storage demand time data, the user's power demand and demand time are clarified; according to the energy storage available power data and the user's energy storage demand data combined with the performance level, the corresponding resource scheduling sub-plan is obtained, including the corresponding discharge power and discharge time of the equipment; after determining the resource scheduling sub-plan, resource scheduling is implemented for the user, and during and after the implementation, resource scheduling evaluation data including resource utilization rate, user grid voltage fluctuation rate and user score are obtained and processed to obtain the resource scheduling evaluation index, and finally the resource scheduling operation status is determined by threshold comparison, and the resource scheduling sub-plan is optimized in time.

[0121] According to an embodiment of the present invention, the step of obtaining the energy storage available power data and the device characteristic data of the energy storage device in the shared energy storage cloud platform and processing the device characteristic data to obtain the performance level corresponding to the energy storage device includes:

[0122] Obtaining energy storage available power data and device characteristic data of energy storage devices in the shared energy storage cloud platform, wherein the device characteristic data includes capacity attenuation rate, charge and discharge response time data, and power conversion efficiency;

[0123] Input the capacity decay rate, charge and discharge response time data and power conversion efficiency into a preset energy storage device performance evaluation model for processing to obtain a performance evaluation index corresponding to the energy storage device;

[0124] The performance evaluation index is compared with a preset performance evaluation threshold, and the performance level corresponding to the energy storage device is determined according to the range to which the threshold comparison result belongs, including primary performance, secondary performance or tertiary performance.

[0125] It should be noted that in order to ensure the optimization of resource scheduling, the health status of the equipment in the shared energy storage cloud platform is first determined, and the discharge power is allocated according to the equipment monitoring status. The energy storage available power data and equipment characteristic data of the energy storage equipment are obtained, where the energy storage available power data refers to the total maximum allowable discharge capacity of the equipment in the standby state, and the equipment characteristic data includes the capacity decay rate, the charge and discharge response time data and the power conversion efficiency. The capacity decay rate, the charge and discharge response time data and the power conversion efficiency are input into the preset energy storage equipment performance evaluation model for processing to obtain the performance evaluation index corresponding to the energy storage equipment;

[0126] The performance evaluation index calculation formula in the energy storage device performance evaluation model is:

[0127]

[0128] Among them, x p is the performance evaluation index, r s ,t c 、x g are capacity attenuation rate, charge and discharge response time data and power conversion efficiency respectively, and χ, γ, and κ are preset characteristic coefficients (the characteristic coefficients are obtained by querying the preset energy storage resource scheduling platform);

[0129] The obtained performance evaluation index is compared with the preset performance evaluation threshold, and the performance level corresponding to the energy storage device is determined according to the range of the threshold comparison result, including primary performance, secondary performance or tertiary performance, among which the third-level performance indicates the best equipment performance.

[0130] According to an embodiment of the present invention, the performance evaluation index is compared with a preset performance evaluation threshold, and the performance level corresponding to the energy storage device is determined according to the range to which the threshold comparison result belongs, including primary performance, secondary performance or tertiary performance, including:

[0131] Comparing the performance evaluation index with a preset performance evaluation threshold, wherein the preset performance evaluation threshold includes a first preset performance evaluation threshold and a second preset performance evaluation threshold, and the first preset performance evaluation threshold is less than the second preset performance evaluation threshold;

[0132] If the performance evaluation index is less than or equal to the first preset performance evaluation threshold, it corresponds to the first-level performance;

[0133] If the performance evaluation index is greater than the first preset performance evaluation threshold and less than or equal to the second preset performance evaluation threshold, it corresponds to the second-level performance;

[0134] If the performance evaluation index is greater than a second preset performance evaluation threshold, it corresponds to level three performance.

[0135] It should be noted that the performance evaluation index is compared with the preset performance evaluation threshold. In this embodiment, the performance evaluation threshold is set to (0, 0.4], (0.4, 0.7], (0.7, 1], corresponding to the first-level performance, the second-level performance, and the third-level performance, respectively. For example, if the obtained performance evaluation index is 0.3, it corresponds to the first-level performance; if the obtained performance evaluation index is 0.6, it corresponds to the second-level performance; if the obtained performance evaluation index is 0.8, it corresponds to the third-level performance.

[0136] According to an embodiment of the present invention, the corresponding resource scheduling sub-scheme is obtained according to the energy storage available power data and the user energy storage demand data in combination with the performance level, including the discharge power and discharge time corresponding to the equipment, including:

[0137] If the energy storage available power data is greater than or equal to the energy storage required power data, then the available power storage of the third-level performance equipment is obtained;

[0138] If the available power storage capacity of the third-level performance equipment is greater than the energy storage demand power data, then a first resource scheduling sub-plan is obtained in combination with the energy storage demand time data;

[0139] If the available storage capacity of the third-level performance equipment is less than or equal to the energy storage demand power data, the available storage capacity of the second-level performance equipment is obtained;

[0140] If the sum of the available storage capacity of the third-level performance equipment and the available storage capacity of the second-level performance equipment is greater than the energy storage demand power data, then a second resource scheduling sub-plan is obtained in combination with the energy storage demand time data;

[0141] If the sum of the available storage capacity of the third-level performance equipment and the available storage capacity of the second-level performance equipment is less than or equal to the energy storage demand power data, the available storage capacity of the first-level performance equipment is obtained, and the third resource scheduling sub-plan is obtained in combination with the energy storage demand time data;

[0142] If the energy storage available power data is less than the energy storage required power data, obtaining the energy storage difference;

[0143] A fourth resource scheduling sub-scheduling scheme is obtained according to the energy storage available power data and the energy storage difference in combination with the energy storage demand time data.

[0144] It should be noted that in order to maximize the service life of the equipment, overcharging and over-discharging should be avoided. Therefore, when determining the resource scheduling sub-plan, attention should be paid to power allocation; if the energy storage available power data is greater than or equal to the energy storage demand power data, it means that the energy storage equipment meets the user's needs. According to the equipment performance level, it is prioritized to determine whether the third-level performance equipment meets the user's needs, and the available storage power of the third-level performance equipment is obtained. If the available storage power of the third-level performance equipment is greater than the energy storage demand power data, the first resource scheduling sub-plan is obtained in combination with the energy storage demand time data, including the corresponding discharge power and discharge time; similarly, the second and third resource scheduling sub-plans are obtained; if the energy storage available power data is less than the energy storage demand power data, it means that the energy storage equipment alone cannot meet the user's needs. If there is a demand, the energy storage difference is obtained, that is, the energy storage demand is subtracted from the available energy storage, the energy storage difference is dispatched through the mains, and the fourth resource scheduling sub-scheme is obtained in combination with the energy storage demand time; in this embodiment, the same-level performance devices are allocated discharge power according to the strategy of the energy storage rate corresponding to the device, and the energy storage rate corresponding to the device refers to the energy storage capacity of a device in the same-level performance devices divided by the total energy storage capacity of the same-level performance devices; different levels of equipment are allocated according to a preset ratio, for example, in the second resource scheduling sub-scheme, the third-level performance devices are allocated 60%, the second-level performance devices are allocated 40%, and in the third resource scheduling sub-scheme, the third-level performance devices are allocated 60%, the second-level performance devices are allocated 20%, and the first-level performance devices are allocated 20%. The specific allocation ratio is adjusted according to the specific application scenario.

[0145] According to an embodiment of the present invention, implementing resource scheduling for a user according to the resource scheduling sub-scheme, acquiring resource scheduling evaluation data and processing it, and obtaining a resource scheduling evaluation index includes:

[0146] Implement resource scheduling for users according to the resource scheduling sub-scheme;

[0147] Obtain resource scheduling evaluation data, including resource utilization, user grid voltage fluctuation rate, and user score;

[0148] According to the resource utilization rate, the user power grid voltage fluctuation rate and the user score, a preset weight value list is queried to obtain the corresponding resource utilization weight value, voltage fluctuation weight value and user score weight value;

[0149] The resource utilization rate, user grid voltage fluctuation rate and user score are respectively multiplied by the corresponding resource utilization weight value, voltage fluctuation weight value and user score weight value and accumulated to obtain a resource scheduling evaluation index.

[0150] It should be noted that after the resource scheduling sub-scheme is determined, the corresponding equipment is controlled according to the discharge power and discharge time to implement resource scheduling, and resource scheduling evaluation data including resource utilization rate, user grid voltage fluctuation rate and user score are obtained to evaluate the effectiveness of resource scheduling, wherein the resource utilization rate refers to the actual discharge amount in the preset time period divided by the total capacity of the energy storage device, the user grid voltage fluctuation rate refers to the ratio of the standard deviation of the voltage to the average voltage in the preset time period, and the user score refers to the score feedback from the user after the implementation of the resource scheduling sub-scheme is completed, and the score range is 0-10 points. The higher the score, the better the implementation effect; query the preset weight value list according to the resource utilization rate, the user grid voltage fluctuation rate and the user score, and obtain the corresponding resource utilization weight value, voltage fluctuation weight value and user score weight value, wherein the weight value list is provided by the shared energy storage platform; multiply the resource utilization rate, the user grid voltage fluctuation rate and the user score by the corresponding resource utilization weight value, voltage fluctuation weight value and user score weight value respectively and add them up to obtain the resource scheduling evaluation index;

[0151] The resource scheduling evaluation index calculation formula is:

[0152] d z =r l q z +v b q v +a p q a ;

[0153] Among them, d z Resource scheduling evaluation index, r l 、v b 、a p ,q z ,q v ,q a They are resource utilization rate, user grid voltage fluctuation rate, user score, resource utilization weight value, voltage fluctuation weight value and user score weight value.

[0154] According to an embodiment of the present invention, performing a threshold comparison between the resource scheduling evaluation index and a preset resource scheduling evaluation threshold, and determining the resource scheduling operation state according to the threshold comparison result, includes:

[0155] Comparing the resource scheduling evaluation index with a preset resource scheduling evaluation threshold;

[0156] If it is less than or equal to the resource scheduling assessment threshold, the resource scheduling operation status is abnormal, and a resource scheduling strategy adjustment warning is output;

[0157] If it is greater than the resource scheduling evaluation threshold, the resource scheduling operation status is normal and no adjustment is made.

[0158] It should be noted that the obtained resource scheduling evaluation index is compared with the preset resource scheduling evaluation threshold. In this embodiment, the preset resource scheduling evaluation threshold is set to (0, 0.75], (0.75, 1]. For example, if the obtained resource scheduling evaluation index is 0.65, it corresponds to an abnormal state, and a resource scheduling strategy adjustment warning is output at the same time. If the obtained resource scheduling evaluation index is 0.85, it corresponds to a normal state, indicating that the implementation effect of the resource scheduling sub-scheme is good and no adjustment is required.

[0159] It is worth mentioning that according to an embodiment of the present invention, if the available power storage amount of the third-level performance equipment is greater than the energy storage demand power data, then the first resource scheduling sub-scheme is obtained in combination with the energy storage demand time data, including:

[0160] Obtain the available power storage corresponding to the third-level performance equipment;

[0161] Processing is performed according to the available storage capacity corresponding to the third-level performance equipment to obtain the storage rate corresponding to the third-level performance equipment;

[0162] According to the power storage rate and the corresponding discharge power of the distribution equipment;

[0163] Determining a discharge time according to the energy storage demand time data;

[0164] A first resource scheduling sub-plan is obtained according to the discharge power and the discharge time.

[0165] It should be noted that in order to obtain the first resource scheduling sub-scheme, the available power storage corresponding to the three-level performance equipment is first obtained, and the available power storage corresponding to the three-level performance equipment is summed to obtain the total power storage of the three-level performance equipment. The available power storage corresponding to the equipment is divided by the total power storage of the three-level performance equipment to obtain the power storage rate corresponding to the three-level performance equipment. For example, there are 5 three-level performance equipments, and the available power storage is 100, 200, 300, 400, and 500 kW·h respectively. The total power storage of the three-level performance equipment is 1500 kW·h, then the corresponding power storage rate is 100 / 1500=0.07, 200 / 1500=0.13, 300 / 1500=0. / 1500=0.2, 400 / 1500=0.27, 500 / 1500=0.33, multiply the storage rate by the energy storage demand data to allocate the corresponding discharge power of the equipment. For example, if the energy storage demand is 500kW·h, the discharge powers allocated to the five devices are 0.07*500=35, 0.13*500=65, 0.2*500=100, 0.27*500=135, 0.33*500=165kW·h respectively; determine the specific discharge time according to the energy storage demand time data; finally, obtain the first resource scheduling sub-plan according to the allocated discharge power and the determined discharge time.

[0166] A third aspect of the present invention provides a readable storage medium, which stores a resource scheduling method program based on a shared energy storage cloud platform. When the resource scheduling method program based on a shared energy storage cloud platform is executed by a processor, the steps of the resource scheduling method based on a shared energy storage cloud platform as described in any one of the above items are implemented.

[0167] The present invention discloses a resource scheduling method, system and medium based on a shared energy storage cloud platform, which obtains energy storage available power data and device characteristic data of energy storage devices, processes the data according to the device characteristic data, obtains the performance level corresponding to the energy storage devices, obtains user energy storage demand data, obtains the corresponding resource scheduling sub-scheme according to the energy storage available power data and the user energy storage demand data combined with the performance level, and implements resource scheduling for users according to the resource scheduling sub-scheme, thereby realizing unified management and optimized scheduling of distributed energy storage devices and improving resource utilization, response efficiency and scheduling effectiveness.

[0168] In the several embodiments provided in the present application, it should be understood that the disclosed devices and methods can be implemented in other ways. The device embodiments described above are only schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation, such as: multiple units or components can be combined, or can be integrated into another system, or some features can be ignored or not executed. In addition, the coupling, direct coupling, or communication connection between the components shown or discussed can be through some interfaces, and the indirect coupling or communication connection of the devices or units can be electrical, mechanical or other forms.

[0169] The units described above as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units; they may be located in one place or distributed on multiple network units; some or all of the units may be selected according to actual needs to achieve the purpose of the present embodiment.

[0170] In addition, all functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may be separately used as a unit, or two or more units may be integrated into one unit; the above-mentioned integrated units may be implemented in the form of hardware or in the form of hardware plus software functional units.

[0171] Those skilled in the art can understand that: all or part of the steps of implementing the above method embodiments can be completed by hardware related to program instructions, and the aforementioned program can be stored in a readable storage medium. When the program is executed, it executes the steps of the above method embodiments; and the aforementioned storage medium includes: mobile storage devices, read-only memories (ROM, Read-Only Memory), random access memories (RAM, Random Access Memory), disks or optical disks, and other media that can store program codes.

[0172] Alternatively, if the above-mentioned integrated unit of the present invention is implemented in the form of a software function module and sold or used as an independent product, it can also be stored in a readable storage medium. Based on this understanding, the technical solution of the embodiment of the present invention can be essentially or partly reflected in the form of a software product that contributes to the prior art. The software product is stored in a storage medium and includes several instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the methods described in each embodiment of the present invention. The aforementioned storage medium includes: various media that can store program codes, such as mobile storage devices, ROM, RAM, magnetic disks or optical disks.

Claims

1. A resource scheduling method based on a shared energy storage cloud platform, characterized in that: The following steps are involved: Obtain the energy storage available power data and device characteristic data of the energy storage equipment in the shared energy storage cloud platform, process the device characteristic data, and obtain the corresponding performance level of the energy storage equipment; Obtain user energy storage demand data, including energy storage demand power data and energy storage demand time data; Obtaining a corresponding resource scheduling sub-plan according to the energy storage available power data and the user energy storage demand data in combination with the performance level, including the discharge power and discharge time corresponding to the equipment; Implement resource scheduling for users according to the resource scheduling sub-scheme, obtain resource scheduling evaluation data and process it to obtain a resource scheduling evaluation index; The resource scheduling evaluation index is compared with a preset resource scheduling evaluation threshold, and the resource scheduling operation state is determined according to the threshold comparison result.

2. The resource scheduling method based on the shared energy storage cloud platform according to claim 1 is characterized in that: The method of obtaining the energy storage available power data and the device characteristic data of the energy storage device in the shared energy storage cloud platform and processing the device characteristic data to obtain the performance level corresponding to the energy storage device includes: Obtaining energy storage available power data and device characteristic data of energy storage devices in the shared energy storage cloud platform, wherein the device characteristic data includes capacity attenuation rate, charge and discharge response time data, and power conversion efficiency; Input the capacity decay rate, charge and discharge response time data and power conversion efficiency into a preset energy storage device performance evaluation model for processing to obtain a performance evaluation index corresponding to the energy storage device; The performance evaluation index is compared with a preset performance evaluation threshold, and the performance level corresponding to the energy storage device is determined according to the range to which the threshold comparison result belongs, including primary performance, secondary performance or tertiary performance.

3. The resource scheduling method based on the shared energy storage cloud platform according to claim 2 is characterized in that: The performance evaluation index is compared with a preset performance evaluation threshold, and the performance level corresponding to the energy storage device is determined according to the range to which the threshold comparison result belongs, including primary performance, secondary performance or tertiary performance, including: Comparing the performance evaluation index with a preset performance evaluation threshold, wherein the preset performance evaluation threshold includes a first preset performance evaluation threshold and a second preset performance evaluation threshold, and the first preset performance evaluation threshold is less than the second preset performance evaluation threshold; If the performance evaluation index is less than or equal to the first preset performance evaluation threshold, it corresponds to the first-level performance; If the performance evaluation index is greater than the first preset performance evaluation threshold and less than or equal to the second preset performance evaluation threshold, it corresponds to the second-level performance; If the performance evaluation index is greater than a second preset performance evaluation threshold, it corresponds to level three performance.

4. The resource scheduling method based on the shared energy storage cloud platform according to claim 3 is characterized in that: The corresponding resource scheduling sub-scheme is obtained according to the energy storage available power data and the user energy storage demand data in combination with the performance level, including the discharge power and discharge time corresponding to the equipment, including: If the energy storage available power data is greater than or equal to the energy storage required power data, then the available power storage of the third-level performance equipment is obtained; If the available power storage capacity of the third-level performance equipment is greater than the energy storage demand power data, then a first resource scheduling sub-plan is obtained in combination with the energy storage demand time data; If the available storage capacity of the third-level performance equipment is less than or equal to the energy storage demand power data, the available storage capacity of the second-level performance equipment is obtained; If the sum of the available storage capacity of the third-level performance equipment and the available storage capacity of the second-level performance equipment is greater than the energy storage demand power data, then a second resource scheduling sub-plan is obtained in combination with the energy storage demand time data; If the sum of the available storage capacity of the third-level performance equipment and the available storage capacity of the second-level performance equipment is less than or equal to the energy storage demand power data, the available storage capacity of the first-level performance equipment is obtained, and the third resource scheduling sub-plan is obtained in combination with the energy storage demand time data; If the energy storage available power data is less than the energy storage required power data, obtaining the energy storage difference; A fourth resource scheduling sub-scheduling scheme is obtained according to the energy storage available power data and the energy storage difference in combination with the energy storage demand time data.

5. The resource scheduling method based on the shared energy storage cloud platform according to claim 4 is characterized in that: Implementing resource scheduling for the user according to the resource scheduling sub-scheme, acquiring resource scheduling evaluation data and processing it, and obtaining a resource scheduling evaluation index, includes: Implement resource scheduling for users according to the resource scheduling sub-scheme; Obtain resource scheduling evaluation data, including resource utilization, user grid voltage fluctuation rate, and user score; According to the resource utilization rate, the user power grid voltage fluctuation rate and the user score, a preset weight value list is queried to obtain the corresponding resource utilization weight value, voltage fluctuation weight value and user score weight value; The resource utilization rate, user grid voltage fluctuation rate and user score are respectively multiplied by the corresponding resource utilization weight value, voltage fluctuation weight value and user score weight value and accumulated to obtain a resource scheduling evaluation index.

6. The resource scheduling method based on the shared energy storage cloud platform according to claim 5 is characterized in that: The step of comparing the resource scheduling evaluation index with a preset resource scheduling evaluation threshold and determining the resource scheduling operation state according to the threshold comparison result includes: Comparing the resource scheduling evaluation index with a preset resource scheduling evaluation threshold; If it is less than or equal to the resource scheduling evaluation threshold, the resource scheduling operation status is abnormal, and a resource scheduling strategy adjustment warning is output; If it is greater than the resource scheduling evaluation threshold, the resource scheduling operation status is normal and no adjustment is made.

7. A resource scheduling system based on a shared energy storage cloud platform, characterized in that: The system comprises a memory and a processor, wherein the memory comprises a program of a resource scheduling method based on a shared energy storage cloud platform, and when the program of the resource scheduling method based on a shared energy storage cloud platform is executed by the processor, the following steps are implemented: Obtain the energy storage available power data and device characteristic data of the energy storage equipment in the shared energy storage cloud platform, process the device characteristic data, and obtain the corresponding performance level of the energy storage equipment; Obtain user energy storage demand data, including energy storage demand power data and energy storage demand time data; Obtaining a corresponding resource scheduling sub-plan according to the energy storage available power data and the user energy storage demand data in combination with the performance level, including the discharge power and discharge time corresponding to the equipment; Implement resource scheduling for users according to the resource scheduling sub-scheme, obtain resource scheduling evaluation data and process it to obtain a resource scheduling evaluation index; The resource scheduling evaluation index is compared with a preset resource scheduling evaluation threshold, and the resource scheduling operation state is determined according to the threshold comparison result.

8. The resource scheduling system based on the shared energy storage cloud platform according to claim 7 is characterized in that: The method of obtaining the energy storage available power data and the device characteristic data of the energy storage device in the shared energy storage cloud platform and processing the device characteristic data to obtain the performance level corresponding to the energy storage device includes: Obtaining energy storage available power data and device characteristic data of energy storage devices in the shared energy storage cloud platform, wherein the device characteristic data includes capacity attenuation rate, charge and discharge response time data, and power conversion efficiency; Input the capacity decay rate, charge and discharge response time data and power conversion efficiency into a preset energy storage device performance evaluation model for processing to obtain a performance evaluation index corresponding to the energy storage device; The performance evaluation index is compared with a preset performance evaluation threshold, and the performance level corresponding to the energy storage device is determined according to the range to which the threshold comparison result belongs, including primary performance, secondary performance or tertiary performance.

9. The resource scheduling system based on the shared energy storage cloud platform according to claim 8, characterized in that: The performance evaluation index is compared with a preset performance evaluation threshold, and the performance level corresponding to the energy storage device is determined according to the range to which the threshold comparison result belongs, including primary performance, secondary performance or tertiary performance, including: Performing a threshold comparison between the performance evaluation index and a preset performance evaluation threshold, wherein the preset performance evaluation threshold includes a first preset performance evaluation threshold and a second preset performance evaluation threshold, and the first preset performance evaluation threshold is less than the second preset performance evaluation threshold; If the performance evaluation index is less than or equal to the first preset performance evaluation threshold, it corresponds to the first-level performance; If the performance evaluation index is greater than the first preset performance evaluation threshold and less than or equal to the second preset performance evaluation threshold, it corresponds to the second-level performance; If the performance evaluation index is greater than a second preset performance evaluation threshold, it corresponds to level three performance.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a resource scheduling method program based on a shared energy storage cloud platform. When the resource scheduling method program based on a shared energy storage cloud platform is executed by a processor, the steps of a resource scheduling method based on a shared energy storage cloud platform as described in any one of claims 1 to 6 are implemented.

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