A distributed energy storage system management method and system

Abstract

The present invention relates to the technical field of computer energy storage control, and discloses a distributed energy storage system management method and system, including a data acquisition module and a distributed energy storage module. The distributed energy storage system management method and system classify and collect site data sets, energy storage data sets, and instruction data sets through the data acquisition module. The distributed energy storage module analyzes and generates an energy storage network through the LEACH algorithm model, manages each energy storage site distributively, analyzes and generates a scheduling data group through the RNN algorithm model, plans the step process of energy scheduling for each energy storage site, has strong distributed energy storage scheduling capabilities. The distributed energy storage module controls the energy storage components to execute the energy scheduling process according to the scheduling data group, records the time point when the energy storage site completes the scheduling, then analyzes and generates an energy efficiency data group, obtains the scheduling efficiency of each energy storage site, and synchronously transmits it to the energy storage station control integrated machine and the mobile client, with high maintenance and upgrade efficiency.

Description

Technical Field

[0001] The present invention relates to the technical field of computer energy storage control, and specifically provides a management method and system for a distributed energy storage system. Background Art

[0002] A distributed energy storage system management system is an intelligent system for centralized monitoring, management, and optimized scheduling of energy storage devices distributed in different regions. Through advanced communication technologies and control technologies, the distributed energy storage system management system connects dispersed energy storage devices to form a unified virtual energy storage station, which can effectively solve the problems of intermittency and instability of renewable energy power generation, and improve the reliability and economy of power grid power supply. In terms of functions, the distributed energy storage system management system has core functions such as energy management, grid connection control, and safety management. The energy management function can monitor the operating status and energy storage of energy storage devices in real time, and intelligently schedule charging and discharging according to grid load changes and renewable energy power generation conditions to achieve optimized energy utilization. The grid connection control function ensures that the system automatically connects to and disconnects from the grid to ensure stable grid operation. The safety management function can prevent safety hazards such as overcharging, over-discharging, and overheating of batteries, and quickly respond in the event of abnormal grid conditions to ensure the safety of the power system. The distributed energy storage system management system has significant flexibility, economy, and reliability. It can configure different numbers and types of energy storage devices according to actual needs, can meet the energy needs in various application scenarios, can also reduce energy costs through optimized operation strategies, and obtain economic benefits by providing auxiliary services to the power grid. The high reliability and stability enable the system to operate stably for a long time in harsh environments and will play an increasingly important role in the future energy field.

[0003] Currently, traditional distributed energy storage system management systems adopt a centralized BMS control method, which centralizes the monitoring and control of all energy storage devices in a main controller. When the main controller fails, it is easy to cause the entire system to collapse, and the system reliability is low. In addition, during actual use, it is also relatively complex and difficult to maintain and upgrade the centralized BMS network. When a single node has problems, the entire system needs to be shut down for maintenance. Summary of the Invention

[0004] (1) Technical Problems to be Solved

[0005] Aiming at the deficiencies of the prior art, the present invention provides a management method and system for a distributed energy storage system, which have the advantages of strong distributed energy storage scheduling ability and high maintenance and upgrade efficiency, and solve the problems of low reliability and high maintenance and upgrade operation costs of traditional distributed energy storage system management systems.

[0006] (2) Technical Solutions

[0007] To achieve the above object, the present invention provides the following technical solutions: A method for managing a distributed energy storage system, comprising the following steps:

[0008] Step 1: The data acquisition module is connected to the energy storage components through the network, obtains the device data monitored and managed in all energy storage sites, and forms a site data set therefrom;

[0009] Step 2: The data acquisition module is connected to the energy storage station control integrated machine through the network, obtains the site energy storage data at all time points, and forms an energy storage data set in chronological order from early to late;

[0010] Step 3: The data acquisition module is connected to the mobile client through the network, obtains the control instructions related to the energy scheduling strategy, and forms an instruction data set in chronological order from early to late;

[0011] Step 4: The distributed energy storage module is provided with a LEACH algorithm model, and the site data set and the energy storage data set are substituted into the LEACH algorithm model to analyze and generate an energy storage network Cnwl, and cluster to form a distributed network;

[0012] Step 5: The distributed energy storage module is provided with an RNN algorithm model, and the instruction data set and the energy storage network Cnwl are substituted into the RNN algorithm model to analyze and generate a scheduling data group Disj, and plan the step process of energy scheduling for each energy storage site;

[0013] Step 6: The distributed energy storage module controls the energy storage components to execute the energy scheduling process according to the scheduling data group Disj, records the time points when the energy storage sites complete the scheduling, and then analyzes and generates an energy efficiency data group Nxsj to obtain the scheduling efficiency of each energy storage site.

[0014] Preferably, in the above Step 1, the expression of the site data set is {Z1 s , Z2 s , Z3 s ,..., Zn s}, Z1 s to Zn s respectively correspond to the device data monitored and managed in each energy storage site, s represents the device data connected to each other in the energy storage site, the device data includes BMS, PCS, fire protection system, dynamic environment system, metering electric meter, circuit breaker and control switch, and 1 to n represent that there are n energy storage sites jointly monitored and managed.

[0015] Preferably, in the above Step 2, the expression of the energy storage data set is {C1 t , C2 t , C3 t ,..., Cn t}, C1 t to Cn tThe energy storage data of the site corresponding to each time point in sequence, where t represents the time point when the energy storage site provides the energy storage data, 1 to n represent that there are n energy storage sites under joint monitoring and management, and Z1 in the site dataset s and C1 in the energy storage dataset t represent the same energy storage site.

[0016] Preferably, in the third step, the expression of the instruction dataset is {K1 d 、K2 d 、K3 d 、...、Km d}, where K1 d to K1 d correspond to the control instructions related to each energy scheduling strategy in sequence, d represents the total amount of electric energy for scheduling control, and 1 to m represent that there are m control instructions related to the energy scheduling strategy.

[0017] Preferably, in the fourth step, the calculation formula of the energy storage network Cnwl is as follows:

[0018] Cnwl = ∑ LEACH ∑ n (Zi s +Ci t )

[0019] In the formula, Cnwl represents the energy storage network, Zi s represents the device data monitored and managed within the i-th energy storage site in the site dataset, Ci t represents the energy storage data provided by the i-th energy storage site in the energy storage dataset, ∑ LEACH ∑ n (Zi s +Ci t ) means that the LEACH algorithm model divides n energy storage sites into multiple clusters, each cluster consists of a cluster head and multiple intra-cluster member nodes, the cluster head is the BMS, and the intra-cluster member nodes are the PCS, fire protection system, dynamic environment system, metering electric meter, circuit breaker and control switch. The intra-cluster member nodes send the energy storage data to the cluster head, and the cluster head transmits the energy storage data to the energy storage station control integrated machine through the network to combine and generate the energy storage network.

[0020] Preferably, in the fifth step, the calculation formula of the scheduling data group Disj is as follows:

[0021]

[0022] In the formula, Disj represents the scheduling data group, and Kk d represents the k-th control instruction related to the energy scheduling strategy in the instruction dataset. It represents the step process in which the RNN algorithm model plans the energy scheduling of each energy storage site based on the data of the energy storage network Cnwl according to m control instructions, that is, the scheduling data group.

[0023] Preferably, in step six, the distributed energy storage module controls the energy storage components to execute the energy scheduling process according to the scheduling data group Disj, and records the time points when each energy storage site completes the scheduling, and marks them as {t1 + , t2 + , t3 + ,..., tn +}}, where 1 to n indicate that there are n energy storage sites under joint monitoring and management.

[0024] Preferably, in step six, the calculation formula of the energy efficiency data group Nxsj is as follows:

[0025]

[0026] In the formula, Nxsj represents the energy efficiency data group, and Kl d represents the total amount of electric energy that needs to be scheduled by the l-th control instruction in the instruction data set, tx + represents the time point when x energy storage sites complete the l-th control instruction, Cx t represents the time point before x energy storage sites in the energy storage data set execute the l-th control instruction, tn + -Cx t represents the total duration consumed by x energy storage sites to complete the l-th control instruction, represents calculating the scheduling efficiency when n energy storage sites execute the control instruction according to m control instructions, that is, the energy efficiency data group.

[0027] Preferably, in step six, the distributed energy storage module synchronously transmits the energy storage network Cnwl, the scheduling data group Disj, and the energy efficiency data group Nxsj to the energy storage station control integrated machine and the mobile client through the network, and stores and backs them up in the form of charts in the energy storage station control integrated machine and the mobile client.

[0028] A distributed energy storage system management system includes energy storage components, an energy storage station control integrated machine, and a mobile client. The energy storage components, the energy storage station control integrated machine, and the mobile client are interconnected through a network. The system includes a data acquisition module and a distributed energy storage module;

[0029] The data acquisition module includes a monitoring device unit, an edge device unit, and a mobile device unit. The monitoring device unit collects a site data set by connecting to an energy storage component through a network. The site data set includes device data monitored and managed within all energy storage sites. The edge device unit collects an energy storage data set by connecting to an energy storage station control integrated machine through a network. The energy storage data set includes site energy storage data at all time points. The mobile device unit collects an instruction data set by connecting to a mobile client through a network. The instruction data set includes control instructions related to an energy scheduling strategy. The data acquisition module transmits the site data set, the energy storage data set, and the instruction data set to the distributed energy storage module through a network;

[0030] The distributed energy storage module includes a network analysis unit, a scheduling analysis unit, and an energy efficiency analysis unit. The network analysis unit is provided with a LEACH algorithm model, and substitutes the site data set and the energy storage data set into the LEACH algorithm model to analyze and generate an energy storage network Cnwl, which is then transmitted to the scheduling analysis unit through a network. The scheduling analysis unit is provided with an RNN algorithm model, and substitutes the instruction data set and the energy storage network Cnwl into the RNN algorithm model to analyze and generate a scheduling data group Disj, which is then transmitted to the energy efficiency analysis unit through a network. The energy efficiency analysis unit controls the energy storage component to execute an energy scheduling process according to the scheduling data group Disj, records the time point when the energy storage site completes the scheduling, and then analyzes and generates an energy efficiency data group Nxsj. The distributed energy storage module synchronously transmits the energy storage network Cnwl, the scheduling data group Disj, and the energy efficiency data group Nxsj to the energy storage station control integrated machine and the mobile client through a network.

[0031] Compared with the prior art, the present invention provides a method and a system for managing a distributed energy storage system, and has the following beneficial effects:

[0032] 1. In the present invention, the data acquisition module is connected to the energy storage component, the energy storage station control integrated machine, and the mobile client through a network. After classifying and collecting the site data set, the energy storage data set, and the instruction data set, they are transmitted to the distributed energy storage module. The distributed energy storage module is provided with a network analysis unit, a scheduling analysis unit, and an energy efficiency analysis unit. The network analysis unit is provided with a LEACH algorithm model, and substitutes the site data set and the energy storage data set into the LEACH algorithm model to analyze and generate an energy storage network Cnwl, which distributes and manages each energy storage site, solves the problem of low reliability of traditional centralized BMS control, is beneficial to optimizing the energy utilization efficiency of the overall system. The scheduling analysis unit is provided with an RNN algorithm model, and substitutes the instruction data set and the energy storage network Cnwl into the RNN algorithm model to analyze and generate a scheduling data group Disj, which plans the step process of energy scheduling for each energy storage site, and has strong distributed energy storage scheduling ability.

[0033] 2. The present invention enables the energy efficiency analysis unit to control the energy storage components to execute the energy scheduling process according to the scheduling data group Disj, record the time point when the energy storage site completes the scheduling, then analyze and generate the energy efficiency data group Nxsj to obtain the scheduling efficiency of each energy storage site. The distributed energy storage modules synchronously transmit the energy storage network Cnwl, the scheduling data group Disj, and the energy efficiency data group Nxsj to the energy storage station control integrated machine and the mobile client through the network, and store and backup them in the form of charts in the energy storage station control integrated machine and the mobile client. When a single node has a problem, there is no need to shut down the entire system for maintenance, with a fast response speed and high maintenance and upgrade efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] Figure 1 It is a flowchart of the method steps of the present invention;

[0035] Figure 2 It is a schematic diagram of the system flow of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0036] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0037] Since the traditional distributed energy storage system management system adopts a centralized BMS control method, concentrating the monitoring and control of all energy storage devices in a main controller, when the main controller fails, it is easy to cause the entire system to collapse, with low system reliability. In addition, during actual use, it is also relatively complex and difficult to maintain and upgrade the centralized BMS network. When a single node has a problem, it is necessary to shut down the entire system for maintenance. Therefore, a distributed energy storage system management method and system are provided. Please refer to Figure 1 - Figure 2 , and the method includes the following steps:

[0038] Step 1: The data acquisition module connects to the energy storage components through the network, obtains the device data monitored and managed within all energy storage sites, and forms a site data set. The expression of the site data set is {Z1 s , Z2 s , Z3 s ,..., Zn s}}, where Z1 s to Zn sCorresponding to the device data monitored and managed in each energy storage site in sequence, s represents the interconnected device data in the energy storage site. The device data includes BMS, PCS, fire protection system, dynamic environment monitoring system, metering electricity meter, circuit breaker, and control switch. The battery management system BMS is a subsystem for managing the battery energy storage system, capable of monitoring data such as battery charging and discharging parameters, battery voltage, current, and temperature. The power conversion system PCS is a key device connecting the battery and the power grid, and adjusts the output of the power supply through a four-quadrant operation converter device. The fire protection system can quickly detect fire source information in the initial stage of a fire. The dynamic environment monitoring system monitors the operating status of the devices in the energy storage site in real time, which can effectively ensure the reliability of the power supply system and the security of communication devices. 1 to n represent that there are n energy storage sites under joint monitoring and management. Defining the device list monitored and managed for each energy storage site facilitates the subsequent distributed establishment of the energy storage network;

[0039] Step 2: The data acquisition module connects to the energy storage station control integrated machine through the network, obtains the site energy storage data at all time points, and forms an energy storage data set in chronological order from early to late. The expression of the energy storage data set is {C1 t 、C2 t 、C3 t 、...、Cn t}, X1 t to Cn t correspond to the site energy storage data at each time point in sequence. The energy storage data provided by BMS, PCS, fire protection system, dynamic environment monitoring system, metering electricity meter, circuit breaker, and control switch in each energy storage site is obtained in real time, overall planning the whole situation, and realizing data sharing of multiple ports. t represents the time point when the energy storage site provides energy storage data. 1 to n represent that there are n energy storage sites under joint monitoring and management. Z1 s in the site data set and C1 t in the energy storage data set represent the same energy storage site;

[0040] Step 3: The data acquisition module connects to the mobile client through the network, obtains the control instructions related to the energy scheduling strategy, and forms an instruction data set in chronological order from early to late. The expression of the instruction data set is {K1 d 、K2 d 、K3 d 、...、Km d}, K1 d to K1 d correspond to each control instruction related to the energy scheduling strategy. For example, grid connection instruction or off-grid instruction. d represents the total amount of electric energy for scheduling control. 1 to m represent that there are m control instructions related to the energy scheduling strategy;

[0041] Step 4: The distributed energy storage module is set with a LEACH algorithm model. The site dataset and the energy storage dataset are substituted into the LEACH algorithm model to analyze and generate the energy storage network Cnwl, which is clustered to form a distributed network. The calculation formula is as follows:

[0042] Cnwl = ∑ LEACH ∑ n (Zi s +Ci t )

[0043] In the formula, Cnwl represents the energy storage network, Zi s represents the device data monitored and managed within the i-th energy storage site in the site dataset, and Ci t represents the energy storage data provided by the i-th energy storage site in the energy storage dataset. ∑ LEACH ∑ n (Zi s +Ci t ) means that the LEACH algorithm model divides n energy storage sites into multiple clusters. Each cluster consists of a cluster head and multiple intra-cluster member nodes. The cluster head is the BMS, and the intra-cluster member nodes are the PCS, fire protection system, dynamic environment system, metering electricity meter, circuit breaker, and control switch. The intra-cluster member nodes send the energy storage data to the cluster head, and the cluster head transmits the energy storage data to the energy storage station control integrated machine through the network, combines to generate the energy storage network, and manages each energy storage site distributively, solving the problem of low reliability of traditional centralized BMS control and being beneficial to optimizing the energy utilization efficiency of the overall system;

[0044] Step 5: The distributed energy storage module is set with an RNN algorithm model. The instruction dataset and the energy storage network Cnwl are substituted into the RNN algorithm model to analyze and generate the scheduling data group Disj. The calculation formula is as follows:

[0045]

[0046] In the formula, Disj represents the scheduling data group, and Kk d represents the control instruction related to the k-th energy scheduling strategy in the instruction dataset, means that based on the data of the energy storage network Cnwl, the RNN algorithm model plans the step process of energy scheduling for each energy storage site according to m control instructions, which is the scheduling data group, and plans the step process of energy scheduling for each energy storage site, with strong distributed energy storage scheduling ability;

[0047] Step 6: The distributed energy storage module controls the energy storage components to execute the energy scheduling process according to the scheduling data group Disj, records the time points when the energy storage sites complete the scheduling, and marks them as {t1 + 、t2 + 、t3 + 、...、tn +}, where 1 to n represent that there are n energy storage sites under joint monitoring and management. The distributed energy storage module re-analyzes to generate an energy efficiency data set Nxsj, and its calculation formula is as follows:

[0048]

[0049] In the formula, Nxsj represents the energy efficiency data set, and Kl d represents the total amount of electric energy that needs to be scheduled by the l-th control instruction in the instruction data set, and tx + represents the time point when x energy storage sites complete the l-th control instruction, and Cx t represents the time point before x energy storage sites in the energy storage data set execute the l-th control instruction, and tx + -Cx t represents the total duration consumed by x energy storage sites to complete the l-th control instruction. represents calculating the scheduling efficiency when n energy storage sites execute control instructions according to m control instructions, which is the energy efficiency data set, to obtain the scheduling efficiency of each energy storage site. The distributed energy storage module synchronously transmits the energy storage network Cnwl, the scheduling data set Disj, and the energy efficiency data set Nxsj to the energy storage station control integrated machine and the mobile client through the network, and stores and backs them up in the form of charts to the energy storage station control integrated machine and the mobile client. When a single node has a problem, there is no need to shut down the entire system for maintenance, the response speed is fast, and the maintenance and upgrade efficiency is high.

[0050] The above distributed energy storage system management method is realized relying on a distributed energy storage system management system, including energy storage components, an energy storage station control integrated machine, and a mobile client. The energy storage components, the energy storage station control integrated machine, and the mobile client are interconnected through the network. The system includes a data acquisition module and a distributed energy storage module;

[0051] The data acquisition module includes a monitoring device unit, an edge device unit, and a mobile device unit. The monitoring device unit connects to the energy storage components through the network to collect a site data set, and the site data set includes device data monitored and managed within all energy storage sites. The edge device unit connects to the energy storage station control integrated machine through the network to collect an energy storage data set, and the energy storage data set includes site energy storage data at all time points. The mobile device unit connects to the mobile client through the network to collect an instruction data set, and the instruction data set includes control instructions related to the energy scheduling strategy. The data acquisition module transmits the site data set, the energy storage data set, and the instruction data set to the distributed energy storage module through the network;

[0052] The distributed energy storage module includes a network analysis unit, a scheduling analysis unit, and an energy efficiency analysis unit. The network analysis unit is provided with a LEACH algorithm model, and substitutes the site data set and the energy storage data set into the LEACH algorithm model to analyze and generate the energy storage network Cnwl, which is then transmitted to the scheduling analysis unit through the network. The scheduling analysis unit is provided with an RNN algorithm model, and substitutes the instruction data set and the energy storage network Cnwl into the RNN algorithm model to analyze and generate the scheduling data group Disj, which is then transmitted to the energy efficiency analysis unit through the network. The distributed energy storage has strong scheduling ability. The energy efficiency analysis unit controls the energy storage components to execute the energy scheduling process according to the scheduling data group Disj, records the time point when the energy storage site completes the scheduling, and then analyzes and generates the energy efficiency data group Nxsj. The distributed energy storage module synchronously transmits the energy storage network Cnwl, the scheduling data group Disj, and the energy efficiency data group Nxsj to the energy storage station control integrated machine and the mobile client through the network, with high maintenance and upgrade efficiency.

[0053] Although the embodiments of the present invention have been shown and described, those of ordinary skill in the art can understand that various changes, modifications, substitutions, and variations can be made to these embodiments without departing from the principles and spirit of the present invention. The scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A distributed energy storage system management method, characterized in that: The following steps are involved: Step 1: The data acquisition module connects to the energy storage components through the network, obtains the equipment data monitored and managed in all energy storage sites, and forms a site data set; Step 2: The data acquisition module connects to the energy storage station control integrated machine through the network to obtain the site energy storage data at all time points, and composes an energy storage data set in chronological order from early to late; Step 3: The data acquisition module connects to the mobile client through the network to obtain control instructions related to the energy scheduling strategy, and composes an instruction data set in chronological order from early to late; Step 4: The distributed energy storage module is equipped with a LEACH algorithm model, and the site data set and energy storage data set are substituted into the LEACH algorithm model to analyze and generate the energy storage network , clustered to form a distributed network; Step 5: The distributed energy storage module is equipped with an RNN algorithm model and the instruction data set and energy storage network Substitute into the RNN algorithm model to analyze and generate the scheduling data set , planning the energy dispatching steps for each energy storage site; Step 6: Distribute the energy storage modules according to the scheduling data group Control the energy storage components to execute the energy scheduling process, record the time when the energy storage site completes the scheduling, and then analyze and generate energy efficiency data sets , get the dispatch efficiency of each energy storage site; In step 1, the expression of the site dataset is , to Corresponding to the equipment data monitored and managed in each energy storage site, Represents the interconnected equipment data in the energy storage site, including BMS, PCS, fire protection system, dynamic environment system, metering meter, circuit breaker and control switch, 1 to Indicates that the energy storage sites under joint monitoring and management are set up with indivual; In step 2, the expression of the energy storage data set is , to The site energy storage data of n energy storage sites at time point t in sequence. The site energy storage data includes the energy storage data provided by the BMS, PCS, fire protection system, dynamic environment system, metering meter, circuit breaker and control switch in the energy storage site. and energy storage datasets Corresponding to the same energy storage site i, i=1 to n; In step 3, the expression of the instruction data set is: , to Corresponding to the control instructions related to each energy scheduling strategy in turn, Indicates the total amount of electric energy under dispatch control, ranging from 1 to Indicates that the control instructions related to the energy scheduling strategy are set indivual; In step 4, the energy storage network The calculation formula is: ,in, represents the energy storage network, Indicates the site data set The equipment data monitored and managed within each energy storage site, Represents the energy storage dataset Energy storage data provided by energy storage sites, Indicates that the LEACH algorithm model will The energy storage sites are divided into multiple clusters. Each cluster consists of a cluster head and multiple member nodes within the cluster. The cluster head is the BMS, and the member nodes within the cluster are the PCS, fire protection system, dynamic environment system, metering meter, circuit breaker and control switch. The member nodes within the cluster send the energy storage data to the cluster head, and the cluster head transmits the energy storage data to the energy storage station control integrated machine through the network to form an energy storage network. In step 5, the scheduling data group The calculation formula is: ,in, represents a scheduling data group, Indicates the instruction data set Control instructions related to energy scheduling strategies, Indicates that in the energy storage network Based on the data, the RNN algorithm model is based on The control instructions plan the steps of energy dispatching for each energy storage site, which is the dispatching data group.

2. A distributed energy storage system management method according to claim 1, characterized in that: In step 6, the distributed energy storage module is arranged according to the scheduling data group. Control the energy storage component to execute the energy scheduling process and record the time point when each of the n energy storage sites completes the scheduling, marking it as .

3. A distributed energy storage system management method according to claim 2, characterized in that: In step 6, the energy efficiency data set The calculation formula is: ,in, represents the energy efficiency data group, Indicates the instruction data set The total amount of electric energy that needs to be dispatched for each control instruction, Indicates Energy storage sites completed The time point of the control instruction, Indicates the energy storage data set Energy storage sites implement The time point before the control instruction, Indicates Energy storage sites completed The total time consumed by the control instructions, According to control instructions, calculate The dispatch efficiency of each energy storage site when executing control instructions is the energy efficiency data group.

4. A distributed energy storage system management method according to claim 3, characterized in that: In step 6, the distributed energy storage module also transmits the energy storage network to the network through the network. , Scheduling Data Group and Energy Efficiency Data Group The data is synchronously transmitted to the energy storage station control integrated machine and the mobile client, and stored and backed up in the form of charts to the energy storage station control integrated machine and the mobile client.

5. A distributed energy storage system management system, applying the distributed energy storage system management method according to any one of claims 1 to 4, wherein the distributed energy storage system management system comprises energy storage components, an energy storage station control integrated machine and a mobile client, wherein the energy storage components, the energy storage station control integrated machine and the mobile client are interconnected via a network, and wherein: The distributed energy storage system management system also includes a data acquisition module and a distributed energy storage module; The data acquisition module includes a monitoring device unit, an edge device unit and a mobile device unit. The monitoring device unit collects a site data set through a network connection to an energy storage component. The site data set includes the equipment data monitored and managed in all energy storage sites. The edge device unit collects an energy storage data set through a network connection to an energy storage station control integrated machine. The energy storage data set includes site energy storage data at all time points. The mobile device unit collects an instruction data set through a network connection to a mobile client. The instruction data set includes control instructions related to an energy scheduling strategy. The data acquisition module transmits the site data set, the energy storage data set and the instruction data set to the distributed energy storage module through the network. The distributed energy storage module includes a network analysis unit, a scheduling analysis unit and an energy efficiency analysis unit. The network analysis unit is provided with a LEACH algorithm model, and the site data set and the energy storage data set are substituted into the LEACH algorithm model to analyze and generate an energy storage network. , and then transmitted to the dispatch analysis unit through the network. The dispatch analysis unit is provided with an RNN algorithm model and transmits the instruction data set and the energy storage network Substitute into the RNN algorithm model to analyze and generate the scheduling data set , and then transmitted to the energy efficiency analysis unit through the network, and the energy efficiency analysis unit is configured according to the scheduling data group Control the energy storage components to execute the energy scheduling process, record the time when the energy storage site completes the scheduling, and then analyze and generate energy efficiency data sets The distributed energy storage module connects the energy storage network through the network , Scheduling Data Group and Energy Efficiency Data Group Synchronously transmitted to the energy storage station control integrated machine and mobile client.

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