A demand side distributed energy storage cloud edge coordination operation management and control system and method

Abstract

The application relates to a demand side distributed energy storage cloud edge collaborative operation management and control system and method, wherein the system comprises an operation cloud host station and an edge terminal, the operation cloud host station comprises a determination module for determining a peak shaving period reference point and a valley filling period reference point of a distributed energy storage cluster; a sending module for sending the peak shaving period reference point and the valley filling period reference point to the edge terminal; and a delivery module for delivering a peak shaving output plan and a valley filling output plan to the edge terminal according to an operation strategy; and the edge terminal comprises a first receiving module for receiving the peak shaving period reference point and the valley filling period reference point; a calculation module for calculating a peak shaving capacity and a valley filling capacity of the distributed energy storage system; an uploading module for uploading the peak shaving capacity and the valley filling capacity of the distributed energy storage system to the operation cloud host station; and a second receiving module for receiving the peak shaving output plan and the valley filling output plan. The application simplifies the calculation amount of the cloud host station and improves the calculation efficiency of the system.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of distributed energy storage, in particular to a demand side distributed energy storage cloud edge collaborative operation management and control system and method. BACKGROUND

[0002] The application scenarios of distributed energy storage are various, mainly including user side, distributed power supply side and distribution network side, and are mainly presented in the form of independent energy storage systems, energy storage combined with distributed power supply (such as photovoltaic storage systems) or microgrids. However, the marketization mechanism of domestic distributed energy storage technology has not been fully established, and there is no mature commercial mode and policy support in the application fields such as energy storage participating in power grid auxiliary services, improving regional power supply quality and smoothing new energy power generation output. With the continuous increase of installation scale, how to realize the utilization rate of distributed energy storage resources is one of the key problems in its development.

[0003] Distributed energy storage has the functions of supporting power grid resilience, providing auxiliary services and other multi-functional reuse capabilities, and the operation scenarios are complex, the state is uncertain, and the operation and maintenance management and control are difficult. In addition, the current distributed energy storage platform mostly takes a single energy storage individual as the research object, and there is less research on the centralized operation of distributed energy storage. Therefore, there is still a lack of operation and control methods for the collaborative operation of different types of distributed energy storage clouds and multi-functional reuse. SUMMARY

[0004] The technical problem to be solved by the present application is to provide a demand side distributed energy storage cloud edge collaborative operation management and control system and method, which can simplify the calculation amount of the cloud master station and improve the calculation efficiency of the system.

[0005] The technical solution adopted by the present application to solve the technical problem is to provide a demand side distributed energy storage cloud edge collaborative operation management and control system, comprising a demand side distributed energy storage operation cloud master station and an edge terminal.

[0006] The demand side distributed energy storage operation cloud master station comprises:

[0007] A determination module is configured to determine a peak shaving period reference point and a valley filling period reference point of a distributed energy storage cluster.

[0008] A sending module is configured to send the peak shaving period reference point and the valley filling period reference point of the distributed energy storage cluster to the edge terminal.

[0009] An issuing module is configured to issue a peak shaving output plan and a valley filling output plan to the edge terminal according to an operation strategy, wherein the operation strategy is determined based on the peak shaving capacity and the valley filling capacity of the distributed energy storage system.

[0010] The edge terminal comprises:

[0011] The first receiving module is configured to receive a peak-shaving time period reference point and a valley-filling time period reference point of the distributed energy storage cluster.

[0012] The computing module is configured to calculate the peak-shaving capability and the valley-filling capability of the distributed energy storage system based on the peak-shaving time period reference point and the valley-filling time period reference point of the distributed energy storage cluster.

[0013] The uploading module is configured to upload the peak-shaving capability and the valley-filling capability of the distributed energy storage system to the demand-side distributed energy storage operation cloud master station.

[0014] The second receiving module is configured to receive the peak-shaving output plan and the valley-filling output plan.

[0015] The determining module comprises:

[0016] The obtaining unit is configured to obtain a load prediction curve.

[0017] The determining unit is configured to determine a time point at which a highest point of the load prediction curve is located as the peak-shaving time period reference point of the distributed energy storage cluster, and determine a time point at which a lowest point of the load prediction curve is located as the valley-filling time period reference point of the distributed energy storage cluster.

[0018] The operation cloud master station further comprises:

[0019] The cluster computing module is configured to calculate the peak-shaving capability and the valley-filling capability of the distributed energy storage cluster according to the peak-shaving capability and the valley-filling capability of the distributed energy storage system uploaded by the edge terminal.

[0020] The reporting module is configured to report the peak-shaving capability and the valley-filling capability of the distributed energy storage cluster to a superior master station, so that the superior master station determines an operation strategy based on the peak-shaving capability and the valley-filling capability of the distributed energy storage cluster.

[0021] The control module is configured to control the downloading module to perform downloading work after receiving the operation strategy of the superior master station.

[0022] The peak-shaving capability comprises a peak-shaving output and a peak-shaving time period, and the valley-filling capability comprises a valley-filling output and a valley-filling time period. The cluster computing module calculates the peak-shaving output and the peak-shaving time period of the distributed energy storage cluster by using The cluster computing module calculates the valley-filling output and the valley-filling time period of the distributed energy storage cluster by using is the peak-shaving output of the distributed energy storage cluster, t′ p is the peak-shaving time period of the distributed energy storage cluster, is the peak-shaving output of the i th distributed energy storage system, t p,i is the peak-shaving time period of the i th distributed energy storage system, is the valley-filling output of the distributed energy storage cluster, tv is a valley-filling period of the distributed energy storage cluster, is a valley-filling output of the i th distributed energy storage system, t v,i is a valley-filling period of the i th distributed energy storage system.

[0023] The peak-shaving capability includes a peak-shaving output and a peak-shaving period, the valley-filling capability includes a valley-filling output and a valley-filling period, and the calculation module includes:

[0024] a peak-shaving capability calculation unit configured to calculate a peak-shaving output and a peak-shaving period of the distributed energy storage system by is a peak-shaving output of the i th distributed energy storage system, P dis,i is a rated discharging power of the i th distributed energy storage system, t p,i is a peak-shaving period of the i th distributed energy storage system, t dis,i is a rated discharging time of the i th distributed energy storage system, t p is a peak-shaving period reference point of the distributed energy storage cluster.

[0025] a valley-filling capability calculation unit configured to calculate a valley-filling output and a valley-filling period of the distributed energy storage system by is a valley-filling output of the i th distributed energy storage system, P ch,i is a rated charging power of the i th distributed energy storage system, t v,i is a valley-filling period of the i th distributed energy storage system, t ch,i is a rated charging time of the i th distributed energy storage system, t v is a valley-filling period reference point of the distributed energy storage cluster.

[0026] The demand-side distributed energy storage cloud-edge collaborative operation management and control system further includes a demand-side distributed energy storage management and control cloud host station, and the demand-side distributed energy storage management and control cloud host station includes:

[0027] a judgment module configured to judge whether an emergency situation occurs;

[0028] a first instruction sending module configured to send an emergency instruction to the edge terminal when the emergency situation occurs;

[0029] a second instruction sending module configured to send a recovery instruction to the edge terminal when the emergency situation does not occur;

[0030] The edge terminal includes:

[0031] ​​The first execution module is configured to send a load shedding switch value to each energy storage converter of the distributed energy storage system after receiving the emergency instruction, so that each energy storage converter of the distributed energy storage system is switched to a discharging state and discharges at the maximum capacity.

[0032] The second execution module is configured to send the recovery instruction to an energy management system of the distributed energy storage system after receiving the recovery instruction, so that the energy management system of the distributed energy storage system controls each energy storage converter of the distributed energy storage system to operate according to the peak shaving output plan and the valley filling output plan.

[0033] The technical solution adopted by the present application to solve its technical problems is to provide a demand side distributed energy storage cloud edge collaborative operation management and control method, comprising the following steps:

[0034] The demand side distributed energy storage operation cloud master station determines the peak shaving period reference point and the valley filling period reference point of the distributed energy storage cluster, and sends the peak shaving period reference point and the valley filling period reference point of the distributed energy storage cluster to the edge terminal;

[0035] After the edge terminal receives the peak shaving period reference point and the valley filling period reference point of the distributed energy storage cluster, the peak shaving capacity and the valley filling capacity of the distributed energy storage system are calculated and uploaded to the demand side distributed energy storage operation cloud master station;

[0036] After the demand side distributed energy storage operation cloud master station receives the peak shaving capacity and the valley filling capacity of each distributed energy storage system, the peak shaving output plan and the valley filling output plan are issued to the edge terminal according to the operation strategy, wherein the operation strategy is determined based on the peak shaving capacity and the valley filling capacity of the distributed energy storage system.

[0037] The demand side distributed energy storage operation cloud master station determines the peak shaving period reference point and the valley filling period reference point of the distributed energy storage cluster, specifically comprising:

[0038] Obtaining a load prediction curve;

[0039] The time point of the highest point of the load prediction curve is determined as the peak shaving period reference point of the distributed energy storage cluster, and the time point of the lowest point of the load prediction curve is determined as the valley filling period reference point of the distributed energy storage cluster.

[0040] Before the peak shaving output plan and the valley filling output plan are issued to the edge terminal according to the operation strategy, the following steps are further included:

[0041] The peak shaving capacity and the valley filling capacity of the distributed energy storage cluster are calculated according to the peak shaving capacity and the valley filling capacity of the distributed energy storage system uploaded by the edge terminal;

[0042] reporting peak shaving capability and valley filling capability of the distributed energy storage cluster to a superior master station, so that the superior master station determines an operation strategy based on the peak shaving capability and the valley filling capability of the distributed energy storage cluster;

[0043] after receiving the operation strategy of the superior master station, controlling the issuing module to perform issuing work.

[0044] The peak shaving capability includes peak shaving output and peak shaving period, and the valley filling capability includes valley filling output and valley filling period. The peak shaving output and the peak shaving period of the distributed energy storage cluster are calculated by The valley filling output and the valley filling period of the distributed energy storage cluster are calculated by P is the peak shaving output of the distributed energy storage cluster, t′ p t is the peak shaving period of the distributed energy storage cluster, P is the peak shaving output of the i th distributed energy storage system, t p,i t is the peak shaving period of the i th distributed energy storage system, P is the valley filling output of the distributed energy storage cluster, t v t′ is the valley filling period of the distributed energy storage cluster, P is the valley filling output of the i th distributed energy storage system, t v,i t is the valley filling period of the i th distributed energy storage system.

[0045] The peak shaving capability includes peak shaving output and peak shaving period, and the valley filling capability includes valley filling output and valley filling period. The peak shaving output and the peak shaving period of the distributed energy storage system are calculated by The valley filling output and the valley filling period of the distributed energy storage system are calculated by P is the peak shaving output of the i th distributed energy storage system, dis,i P is the rated discharging power of the i th distributed energy storage system, t p,i t is the peak shaving period of the i th distributed energy storage system, dis,i t is the rated discharging time of the i th distributed energy storage system, p t is the reference point of the peak shaving period of the distributed energy storage cluster; P is the valley filling output of the i th distributed energy storage system, ch,i P is the rated charging power of the i th distributed energy storage system, t v,i t is the valley filling period of the i th distributed energy storage system, ch,i t is the rated charging time of the i th distributed energy storage system, v t is the reference point of the valley filling period of the distributed energy storage cluster.

[0046] The demand side distributed energy storage cloud edge collaborative operation management and control method further comprises:

[0047] The demand side distributed energy storage management and control cloud host station judges whether an emergency situation occurs, and sends an emergency instruction to the edge terminal when the emergency situation occurs; and sends a recovery instruction to the edge terminal when the emergency situation does not occur.

[0048] The edge terminal sends a load shedding switch value order to each energy storage converter of the distributed energy storage system after receiving the emergency instruction, so that each energy storage converter of the distributed energy storage system changes to a discharging state and discharges at maximum capacity.

[0049] The edge terminal sends the recovery instruction to the energy management system of the distributed energy storage system after receiving the recovery instruction, so that the energy management system of the distributed energy storage system controls each energy storage converter of the distributed energy storage system to operate according to the peak shaving output plan and the valley filling output plan.

[0050] The technical solution adopted by the present application to solve its technical problems is to provide an electronic device comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, wherein the processor executes the computer program to implement the steps of the demand side distributed energy storage cloud edge collaborative operation management and control method.

[0051] The technical solution adopted by the present application to solve its technical problems is to provide a computer readable storage medium having a computer program stored thereon, wherein the computer program is executed by a processor to implement the steps of the demand side distributed energy storage cloud edge collaborative operation management and control method.

[0052] Advantages

[0053] Compared with the prior art, the present application has the following advantages and positive effects: The present application obtains the peak shaving period reference point and the valley filling period reference point of the demand side distributed energy storage through the operation of the cloud host station, and issues them to the edge terminal. The edge terminal calculates the peak shaving period and the valley filling period according to the rated charge / discharge time of each distributed energy storage system. This method fully utilizes the synergistic effect of the demand side distributed energy storage operation cloud host station and the edge terminal, simplifies the calculation amount of the cloud host station, and improves the calculation efficiency of the system. At the same time, the present application also considers the operation strategy of the demand side distributed energy storage in the normal mode and the control strategy in the emergency mode, and realizes the multi-functional support of the distributed energy storage to the power grid. BRIEF DESCRIPTION OF DRAWINGS

[0054] Figure 1 is the architecture diagram of the demand side distributed energy storage cloud edge collaborative operation management and control system of the first embodiment of the present application;

[0055] Figure 2 is a control strategy flowchart of the demand side distributed energy storage cloud edge collaborative operation management and control system required by the first embodiment of the present application;

[0056] Figure 3 is an acquisition flowchart of the peak shaving output plan and the valley filling output plan in the first embodiment of the present application. DETAILED DESCRIPTION

[0057] The present application will be further described below in conjunction with specific embodiments. It should be understood that these embodiments are only used to illustrate the present application and not used to limit the scope of the present application. In addition, it should be understood that after reading the content taught by the present application, those skilled in the art can make various modifications or changes to the present application, and these equivalent forms also fall within the scope defined by the appended claims of the present application.

[0058] The first embodiment of the present application relates to a demand side distributed energy storage cloud edge collaborative operation management and control system, as shown in Figure 1 , comprising a demand side distributed energy storage operation cloud master station (referred to as an operation master station), a demand side distributed energy storage emergency management and control cloud master station (referred to as a management and control master station) and an edge terminal, wherein the edge terminal is installed in a distributed energy storage system device, connected to the operation master station and the management and control master station upwards, and connected to an energy management system (EMS) and a power conversion system (PCS) of the distributed energy storage system downwards.

[0059] The operation master station in the present embodiment comprises:

[0060] A determination module for determining a peak shaving period reference point and a valley filling period reference point of a distributed energy storage cluster; the determination module comprises: an acquisition unit for acquiring a load prediction curve of the next day; a determination unit for determining a highest point P p of the load prediction curve as the peak shaving period reference point t p of the distributed energy storage cluster, and determining a lowest point P v of the load prediction curve as the valley filling period reference point t v .

[0061] A sending module for sending the peak shaving period reference point t p and the valley filling period reference point t v of the distributed energy storage cluster to the edge terminal;

[0062] An issuing module for issuing a peak shaving output plan and a valley filling output plan to the edge terminal according to an operation strategy, wherein the operation strategy is determined based on the peak shaving capacity and the valley filling capacity of the distributed energy storage system;

[0063] a cluster computing module configured to calculate peak shaving capability and valley filling capability of the distributed energy storage cluster according to the peak shaving capability and the valley filling capability of the distributed energy storage system uploaded by the edge terminal; wherein the peak shaving capability of the distributed energy storage cluster is calculated by the peak shaving capability of the distributed energy storage cluster is calculated by , wherein, is the peak shaving output of the distributed energy storage cluster, t′ p is the peak shaving time period of the distributed energy storage cluster, is the peak shaving output of the i-th distributed energy storage system, t p,i is the peak shaving time period of the i-th distributed energy storage system, is the valley filling output of the distributed energy storage cluster, t v ′ is the valley filling time period of the distributed energy storage cluster, is the valley filling output of the i-th distributed energy storage system, t v,i is the valley filling time period of the i-th distributed energy storage system.

[0064] a reporting module configured to report the peak shaving capability and the valley filling capability of the distributed energy storage cluster to a superior master station, so that the superior master station determines an operation strategy based on the peak shaving capability and the valley filling capability of the distributed energy storage cluster;

[0065] a control module configured to control the issuing module to perform issuing work after receiving the operation strategy of the superior master station.

[0066] The edge terminal in the embodiment comprises:

[0067] a first receiving module configured to receive a peak shaving time period reference point t p and a valley filling time period reference point t v of the distributed energy storage cluster;

[0068] a computing module configured to calculate the peak shaving capability and the valley filling capability of the distributed energy storage system based on the peak shaving time period reference point t p and the valley filling time period reference point t v of the distributed energy storage cluster; wherein the computing module comprises: a peak shaving capability calculation unit configured to calculate the peak shaving capability of the distributed energy storage system by , wherein, is the peak shaving output of the i-th distributed energy storage system, P dis,i is the rated discharging power of the i-th distributed energy storage system, t p,i is the peak shaving time period of the i-th distributed energy storage system, t dis,i is the rated discharging time of the i-th distributed energy storage system, t p is the peak shaving time period reference point of the distributed energy storage cluster; and a valley filling capability calculation unit configured to calculate the valley filling capability of the distributed energy storage system by Calculate the valley filling capacity of the distributed energy storage system; is the valley-filling output of the i-th distributed energy storage system, P ch,i is the rated charging power of the i-th distributed energy storage system, t v,i is the valley-filling period of the i-th distributed energy storage system, t ch,i is the rated charging time of the i-th distributed energy storage system, t v It is the benchmark point for the valley-filling period of the distributed energy storage cluster.

[0069] An uploading module, configured to upload the peak shaving capability and valley filling capability of the distributed energy storage system to the demand-side distributed energy storage operation cloud master station;

[0070] The second receiving module is configured to receive the peak shaving output plan and the valley filling output plan, and forward the received peak shaving output plan and the valley filling output plan to the EMS of the distributed energy storage system, which controls the PCS according to the peak shaving output plan and the valley filling output plan.

[0071] The control master station in this embodiment includes: a judgment module for judging whether an emergency situation occurs; a first instruction sending module for sending an emergency instruction to the edge terminal when an emergency situation occurs; and a second instruction sending module for sending a recovery instruction to the edge terminal when no emergency situation occurs.

[0072] The edge terminal also includes: a first execution module, which is used to send a load shedding switch output to each energy storage converter of the distributed energy storage system after receiving the emergency instruction, so that each energy storage converter of the distributed energy storage system is converted to a discharge state and discharges at maximum capacity; a second execution module, which is used to send the recovery instruction to the energy management system of the distributed energy storage system after receiving the recovery instruction, so that the energy management system of the distributed energy storage system controls each energy storage converter of the distributed energy storage system to operate according to the peak shaving output plan and valley filling output plan.

[0073] It is not difficult to find that the demand-side distributed energy storage cloud-edge collaborative operation and control system of this embodiment includes an operation strategy in normal mode and a control strategy in emergency mode, among which the control strategy in emergency mode has a higher priority than the operation strategy.

[0074] like Figure 2 As shown, the control method of the demand-side distributed energy storage cloud-edge collaborative operation control system of this embodiment specifically includes the following steps:

[0075] The control master station determines whether an emergency situation occurs, and sends an emergency instruction to the edge terminal when an emergency situation occurs; and sends a recovery instruction to the edge terminal when no emergency situation occurs.

[0076] After receiving the emergency instruction, the edge terminal sends a load shedding switch output to each energy storage converter of the distributed energy storage system, so that each energy storage converter of the distributed energy storage system is switched to a discharge state and discharges at maximum capacity;

[0077] After receiving the recovery instruction, the edge terminal sends the recovery instruction to the energy management system of the distributed energy storage system, so that the energy management system of the distributed energy storage system controls each energy storage converter of the distributed energy storage system to operate according to the peak shaving output plan and valley filling output plan.

[0078] like Figure 3 As shown in Figure 2, the peak shaving output plan and valley filling output plan can be obtained according to the following method:

[0079] First, the operation master station determines the peak-shaving period benchmark point and valley-filling period benchmark point of the distributed energy storage cluster based on the load forecast curve of the next day. p The highest point P of the load forecast curve for the next day p The time at which the valley is located; the reference point of the valley filling period t v The lowest point P of the load forecast curve for the next day v the moment you are in;

[0080] Then, the operation master station sends the peak-cutting period benchmark point t to the edge terminal. p and the benchmark point t during the valley filling period v , the edge terminal receives the peak-cutting period reference point t p and the benchmark point t during the valley filling period v Calculate the peak-shaving capacity and valley-filling capacity of the distributed energy storage system. The peak-shaving capacity includes peak-shaving output and peak-shaving period. The peak-shaving capacity of the i-th distributed energy storage system is:

[0081]

[0082] in, is the peak shaving output of the i-th distributed energy storage system, P dis,i is the rated discharge power of the i-th distributed energy storage system, t p,i is the peak shaving period of the i-th distributed energy storage system, t dis,i is the rated discharge time of the i-th distributed energy storage system.

[0083] The valley filling capacity includes valley filling output and valley filling period. The valley filling capacity of the i-th distributed energy storage system is:

[0084]

[0085] in, P is the valley filling output of the i-th distributed energy storage system ch,i P is the rated charging power of the i-th distributed energy storage system v,i P is the valley filling time period of the i-th distributed energy storage system ch,i P is the rated charging time of the i-th distributed energy storage system.

[0086] Then, the edge terminal feeds back the calculated peak shaving capacity and valley filling capacity of the distributed energy storage system to the operation master station, the operation master station calculates the peak shaving capacity and valley filling capacity of the distributed energy storage cluster according to the received feedback information, and reports to the upper master station, so that the upper master station determines the operation strategy based on the peak shaving capacity and valley filling capacity of the distributed energy storage cluster. The calculation method of the peak shaving capacity of the distributed energy storage cluster is:

[0087]

[0088] Wherein, P is the peak shaving output of the distributed energy storage cluster p P is the peak shaving time period of the distributed energy storage cluster.

[0089] The calculation method of the valley filling capacity of the distributed energy storage cluster is:

[0090]

[0091] Wherein, P is the valley filling output of the distributed energy storage cluster v P is the valley filling time period of the distributed energy storage cluster.

[0092] After receiving the operation strategy of the upper master station, the operation master station issues the peak shaving output plan and the valley filling output plan of the next day to the edge terminal according to the operation strategy.

[0093] Finally, the edge terminal sends the received peak shaving output plan and valley filling output plan to the local EMS. In the second day, if no emergency instruction is received, the local EMS controls the PCS according to the received peak shaving output plan and valley filling output plan.

[0094] Therefore, the peak shaving time period reference point and the valley filling time period reference point of the demand side distributed energy storage are calculated by the operation master station and issued to the edge terminal. The edge terminal calculates the peak shaving time period and the valley filling time period according to the rated charging / discharging time of each distributed energy storage system, which fully utilizes the synergistic effect of the demand side distributed energy storage operation cloud master station and the edge terminal, simplifies the calculation amount of the cloud master station, and improves the calculation efficiency of the system. At the same time, the operation strategy of the demand side distributed energy storage in the normal mode and the control strategy in the emergency mode are considered, and the multifunctional support of the distributed energy storage to the power grid is realized.

[0095] The second embodiment of the present application relates to an electronic device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of the demand side distributed energy storage cloud edge collaborative operation management and control method in the first embodiment when executing the computer program.

[0096] The third embodiment of the present application relates to a computer readable storage medium, which stores a computer program, wherein the computer program implements the steps of the demand side distributed energy storage cloud edge collaborative operation management and control method in the first embodiment when executed by a processor.

[0097] Those skilled in the art should understand that the embodiments of the present application can be provided as a method, a system, or a computer program product. Therefore, the present application can take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware aspects. Moreover, the present application can take the form of a computer program product implemented on one or more computer-usable storage media (including, but not limited to, disk storage and optical storage, etc.) containing computer-usable program code.

[0098] The present application is described with reference to flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each flow and / or block in the flowcharts and / or block diagrams, and the combination of flows and / or blocks in the flowcharts and / or block diagrams can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing apparatus to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing apparatus generate a means for implementing the functions specified in the flowcharts and / or block diagrams. Figure 1 one or more flows and / or blocks Figure 1 an apparatus that performs the functions specified in the flowcharts and / or block diagrams.

[0099] These computer program instructions can also be stored in a computer-readable memory that can direct the computer or other programmable data processing apparatus to work in a specific manner, so that the instructions stored in the computer-readable memory produce a product including an instruction method, which implements the functions specified in the flowcharts and / or block diagrams. Figure 1 one or more flows and / or blocks Figure 1 an apparatus that performs the functions specified in the flowcharts and / or block diagrams.

[0100] These computer program instructions can also be loaded onto a computer or other programmable data processing apparatus, so that a series of operation steps are performed on the computer or other programmable data processing apparatus to produce a computer-implemented process, so that the instructions executed on the computer or other programmable data processing apparatus provide a means for implementing the functions specified in the flowcharts and / or block diagrams. Figure 1 one or more flows and / or blocksFigure 1 the steps of the functions specified in the one or more blocks.

[0101] The above description is merely that of the specific embodiments of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art can easily think of changes or replacements within the technical range disclosed by the present application, and all should be covered within the protection scope of the present application. Therefore, the protection scope of the present application should be subject to the protection scope of the claims.

Claims

1. A demand-side distributed energy storage cloud-edge collaborative operation and management system, characterized by: Including demand-side distributed energy storage operation cloud master station and edge terminal; The demand-side distributed energy storage operation cloud master station includes: A determination module, used to determine the peak shaving period benchmark point and valley filling period benchmark point of the distributed energy storage cluster; A sending module, configured to send the peak-shaving period reference point and the valley-filling period reference point of the distributed energy storage cluster to the edge terminal; a sending module, configured to send a peak shaving output plan and a valley filling output plan to the edge terminal according to an operation strategy, wherein the operation strategy is determined based on the peak shaving capability and valley filling capability of the distributed energy storage system; Edge terminals include: A first receiving module is configured to receive a peak-shaving period reference point and a valley-filling period reference point of the distributed energy storage cluster; a calculation module is configured to calculate the peak-shaving capability and valley-filling capability of the distributed energy storage system based on the peak-shaving period reference point and the valley-filling period reference point of the distributed energy storage cluster; the peak-shaving capability includes peak-shaving output and peak-shaving period, and the valley-filling capability includes valley-filling output and valley-filling period. The calculation module includes: Peak shaving capability calculation unit, used to calculate the peak shaving capability through Calculate the peak-shaving output and peak-shaving period of the distributed energy storage system; is the peak shaving output of the i-th distributed energy storage system, P dis,i is the rated discharge power of the i-th distributed energy storage system, t p,i is the peak shaving period of the i-th distributed energy storage system, t dis,i is the rated discharge time of the i-th distributed energy storage system, t p It is the peak shaving period benchmark point for distributed energy storage clusters; Valley filling capacity calculation unit, used to Calculate the valley-filling output and valley-filling period of the distributed energy storage system; is the valley-filling output of the i-th distributed energy storage system, P ch,i is the rated charging power of the i-th distributed energy storage system, t v,i is the valley-filling period of the i-th distributed energy storage system, t ch,i is the rated charging time of the i-th distributed energy storage system, t v It is the benchmark point for the valley-filling period of the distributed energy storage cluster; An uploading module, configured to upload the peak shaving capability and valley filling capability of the distributed energy storage system to the demand-side distributed energy storage operation cloud master station; The second receiving module is configured to receive the peak shaving output plan and the valley filling output plan.

2. The demand-side distributed energy storage cloud-edge collaborative operation and management system according to claim 1 is characterized in that: The determination module includes: An acquisition unit, used for acquiring a load forecast curve; The determination unit is used to determine the time when the highest point of the load forecast curve is located as the peak-shaving period reference point of the distributed energy storage cluster, and determine the time when the lowest point of the load forecast curve is located as the valley-filling period reference point of the distributed energy storage cluster.

3. The demand-side distributed energy storage cloud-edge collaborative operation and management system according to claim 1 is characterized in that: The operation cloud master station also includes: A cluster computing module, configured to calculate the peak shaving capability and valley filling capability of a distributed energy storage cluster based on the peak shaving capability and valley filling capability of the distributed energy storage system uploaded by the edge terminal; a reporting module, configured to report the peak-shaving and valley-filling capabilities of the distributed energy storage cluster to a superior master station, so that the superior master station determines an operating strategy based on the peak-shaving and valley-filling capabilities of the distributed energy storage cluster; The control module is used to control the issuing module to perform issuing work after receiving the operation strategy of the upper-level master station.

4. The demand-side distributed energy storage cloud-edge collaborative operation and management system according to claim 3 is characterized in that: The cluster computing module adopts Calculate the peak-shaving output and peak-shaving period of the distributed energy storage cluster using Calculate the valley-filling output and valley-filling period of the distributed energy storage cluster, where: is the peak shaving output of the distributed energy storage cluster, t′ p This is the peak shaving period of the distributed energy storage cluster. For the valley filling output of distributed energy storage cluster, t v ′ is the valley-filling period of the distributed energy storage cluster.

5. The demand-side distributed energy storage cloud-edge collaborative operation and management system according to claim 1 is characterized in that: The demand-side distributed energy storage cloud-edge collaborative operation and control system also includes a demand-side distributed energy storage control cloud master station; the demand-side distributed energy storage control cloud master station includes: A judgment module is used to determine whether an emergency situation occurs; A first instruction sending module is used to send an emergency instruction to the edge terminal when an emergency occurs; A second instruction sending module is used to send a recovery instruction to the edge terminal when no emergency situation occurs; The edge terminal includes: A first execution module is configured to, after receiving the emergency instruction, send a load shedding switch output to each energy storage converter of the distributed energy storage system, so that each energy storage converter of the distributed energy storage system is switched to a discharge state and discharges at maximum capacity; The second execution module is used to send the recovery instruction to the energy management system of the distributed energy storage system after receiving the recovery instruction, so that the energy management system of the distributed energy storage system controls each energy storage converter of the distributed energy storage system to operate according to the peak shaving output plan and valley filling output plan.

6. A demand-side distributed energy storage cloud-edge collaborative operation and management method, characterized in that: The following steps are involved: The demand-side distributed energy storage operation cloud master station determines the peak-shaving period reference point and the valley-filling period reference point of the distributed energy storage cluster, and sends the peak-shaving period reference point and the valley-filling period reference point of the distributed energy storage cluster to the edge terminal; After receiving the peak-shaving period benchmark point and valley-filling period benchmark point of the distributed energy storage cluster, the edge terminal calculates the peak-shaving capacity and valley-filling capacity of the distributed energy storage system, and uploads the peak-shaving capacity and valley-filling capacity of the distributed energy storage system to the demand-side distributed energy storage operation cloud master station; the peak-shaving capacity includes peak-shaving output and peak-shaving period, the valley-filling capacity includes valley-filling output and valley-filling period, and the peak-shaving output and peak-shaving period of the distributed energy storage system are calculated by The calculation shows that the valley-filling output and valley-filling period of the distributed energy storage system are Calculated; among them, is the peak shaving output of the i-th distributed energy storage system, P dis,i is the rated discharge power of the i-th distributed energy storage system, t p,i is the peak shaving period of the i-th distributed energy storage system, t dis,i is the rated discharge time of the i-th distributed energy storage system, t p It is the peak shaving period benchmark point for distributed energy storage clusters; is the valley-filling output of the i-th distributed energy storage system, P ch,i is the rated charging power of the i-th distributed energy storage system, t v,i is the valley-filling period of the i-th distributed energy storage system, t ch,i is the rated charging time of the i-th distributed energy storage system, t v It is the benchmark point for the valley-filling period of the distributed energy storage cluster; After receiving the peak shaving and valley filling capabilities of each distributed energy storage system, the demand-side distributed energy storage operation cloud master station sends a peak shaving output plan and a valley filling output plan to the edge terminal according to the operation strategy, wherein the operation strategy is determined based on the peak shaving and valley filling capabilities of the distributed energy storage system.

7. The demand-side distributed energy storage cloud-edge collaborative operation and management method according to claim 6 is characterized in that: The demand-side distributed energy storage operation cloud master station determines the peak-shaving period benchmark point and valley-filling period benchmark point of the distributed energy storage cluster, specifically including: Obtain load forecast curve; The time at which the highest point of the load forecast curve occurs is determined as the peak-shaving period reference point of the distributed energy storage cluster, and the time at which the lowest point of the load forecast curve occurs is determined as the valley-filling period reference point of the distributed energy storage cluster.

8. The demand-side distributed energy storage cloud-edge collaborative operation and management method according to claim 6 is characterized in that: Before issuing the peak shaving output plan and the valley filling output plan to the edge terminal according to the operation strategy, the method further includes: Calculate the peak shaving capacity and valley filling capacity of the distributed energy storage cluster according to the peak shaving capacity and valley filling capacity of the distributed energy storage system uploaded by the edge terminal; Reporting the peak-shaving and valley-filling capabilities of the distributed energy storage cluster to a superior master station, so that the superior master station determines an operation strategy based on the peak-shaving and valley-filling capabilities of the distributed energy storage cluster; After receiving the operation strategy of the upper-level master station, the issuing module is controlled to perform the issuing work.

9. The demand-side distributed energy storage cloud-edge collaborative operation and management method according to claim 8 is characterized in that: The peak shaving output and peak shaving period of the distributed energy storage cluster are The calculation shows that the valley-filling output and valley-filling period of the distributed energy storage cluster are Calculated, where is the peak shaving output of the distributed energy storage cluster, t′ p This is the peak shaving period of the distributed energy storage cluster. For the valley filling output of distributed energy storage cluster, t v ′ is the valley-filling period of the distributed energy storage cluster.

10. The demand-side distributed energy storage cloud-edge collaborative operation and management method according to claim 6 is characterized in that: Also includes: The demand-side distributed energy storage control cloud master station determines whether an emergency situation occurs, and sends an emergency instruction to the edge terminal when an emergency situation occurs; and sends a recovery instruction to the edge terminal when no emergency situation occurs; After receiving the emergency instruction, the edge terminal sends a load shedding switch output to each energy storage converter of the distributed energy storage system, so that each energy storage converter of the distributed energy storage system changes to a discharge state and discharges at maximum capacity; After receiving the recovery instruction, the edge terminal sends the recovery instruction to the energy management system of the distributed energy storage system, so that the energy management system of the distributed energy storage system controls each energy storage converter of the distributed energy storage system to operate according to the peak shaving output plan and valley filling output plan.

11. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein: When the processor executes the computer program, the steps of the demand-side distributed energy storage cloud-edge collaborative operation and control method as described in any one of claims 6-10 are implemented.

12. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by the processor, the steps of the demand-side distributed energy storage cloud-edge collaborative operation and control method as described in any one of claims 6-10 are implemented.

Images