Demand side distributed energy storage cloud side collaborative operation management and control system and method

Abstract

The invention relates to a demand side distributed energy storage cloud side collaborative operation management and control system and method, the system comprises an operation cloud master station and an edge terminal, and the operation cloud master station comprises a determination module used for determining a peak clipping period reference point and a valley filling period reference point of a distributed energy storage cluster; the sending module is used for sending the peak clipping period reference point and the valley filling period reference point to the edge terminal; the issuing module is used for issuing the peak clipping output plan and the valley filling output plan to the edge terminal according to the operation strategy; the edge terminal comprises a first receiving module used for receiving a peak clipping period reference point and a valley filling period reference point; the calculation module is used for calculating the peak clipping capability and the valley filling capability of the distributed energy storage system; the uploading module is used for uploading the peak clipping capability and the valley filling capability of the distributed energy storage system to the operation cloud master station; and the second receiving module is used for receiving the peak clipping output plan and the valley filling output plan. The calculation amount of the cloud master station is simplified, and the calculation efficiency of the system is improved.

Description

Technical Field

[0001] The present invention relates to the field of distributed energy storage technology, and in particular to a demand-side distributed energy storage cloud-edge collaborative operation management and control system and method. Background Art

[0002] Distributed energy storage has various application scenarios, mainly including the user side, distributed power supply side and distribution network side, and is mostly 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 market-oriented mechanism for the application of distributed energy storage technology in China has not yet been fully established, and there is no mature business model and policy support for energy storage to participate in grid auxiliary services, improve regional power supply quality, and smooth new energy power generation output. With the continuous increase in the scale of installation, how to achieve the utilization rate of distributed energy storage resources is one of the key issues in its development.

[0003] Distributed energy storage has the ability to support grid resilience and provide multifunctional reuse such as auxiliary services. However, its operation scenarios are complex, its status is uncertain, and its operation and maintenance are difficult. The deep integration of energy storage facilities and information technology is insufficient. In addition, most of the current distributed energy storage platforms take individual energy storage as the research object, and there is little research on centralized distributed energy storage. Therefore, there is still a lack of operation and control methods for cloud-edge collaboration and multifunctional reuse of different types of distributed energy storage. Summary of the invention

[0004] The technical problem to be solved by the present invention is to provide a demand-side distributed energy storage cloud-edge collaborative operation 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 invention to solve its technical problem is: to provide a demand-side distributed energy storage cloud-edge collaborative operation and management system, including 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 includes:

[0007] A determination module, used to determine a peak shaving period benchmark point and a valley filling period benchmark point of a distributed energy storage cluster;

[0008] A sending module, used 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] A sending module, used 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 capacity and valley filling capacity of the distributed energy storage system;

[0010] Edge terminals include:

[0011] A first receiving module is used to receive a peak shaving period reference point and a valley filling period reference point of the distributed energy storage cluster;

[0012] A calculation module, used to calculate the peak shaving capacity and valley filling capacity of the distributed energy storage system based on the peak shaving period reference point and valley filling period reference point of the distributed energy storage cluster;

[0013] An uploading module, used 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;

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

[0015] The determination module comprises:

[0016] An acquisition unit, used for acquiring a load forecast curve;

[0017] The determination unit is used to determine the time when the highest point of the load prediction 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 prediction curve is located as the valley-filling period reference point of the distributed energy storage cluster.

[0018] The operation cloud master station also includes:

[0019] A cluster computing module, used to calculate the peak shaving capability and valley filling capability of a distributed energy storage cluster according to the peak shaving capability and valley filling capability of the distributed energy storage system uploaded by the edge terminal;

[0020] A reporting module, used to report the 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 valley filling capability of the distributed energy storage cluster;

[0021] The control module is used to control the sending module to perform sending work after receiving the operation strategy of the upper-level master station.

[0022] The peak shaving capability includes peak shaving output and peak shaving period, the valley filling capability includes valley filling output and valley filling period, and 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 It is the peak shaving 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 period of the i-th distributed energy storage system, To provide valley-filling output for distributed energy storage clusters, tv ′ is the valley-filling 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 period of the i-th distributed energy storage system.

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

[0024] Peak shaving capacity calculation unit, used to Calculate the peak shaving output and peak shaving period of the distributed energy storage system; where: 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;

[0025] 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.

[0026] 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:

[0027] A judgment module is used to judge whether an emergency situation occurs;

[0028] A first instruction sending module, used for sending an emergency instruction to the edge terminal when an emergency occurs;

[0029] A second instruction sending module, used for sending a recovery instruction to the edge terminal when no emergency situation occurs;

[0030] The edge terminal comprises:

[0031] A first execution module 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 changed to a discharge state and discharges at a maximum capacity;

[0032] 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 the valley filling output plan.

[0033] The technical solution adopted by the present invention to solve the technical problem is: to provide a demand-side distributed energy storage cloud-edge collaborative operation and management method, including 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 receiving the peak shaving period reference point and valley filling period reference 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;

[0036] After receiving the peak shaving capacity and valley filling capacity of each distributed energy storage system, the demand-side distributed energy storage operation cloud master station sends the peak shaving output plan and valley filling output plan to the edge terminal according to the operation strategy, wherein the operation strategy is determined based on the peak shaving capacity and 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 valley-filling period reference point of the distributed energy storage cluster, specifically including:

[0038] Obtain load forecast curve;

[0039] The time at which the highest point of the load prediction 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 prediction curve occurs 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 sent to the edge terminal according to the operation strategy, the method further includes:

[0041] 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;

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

[0043] After receiving the operation strategy of the upper-level master station, the sending module is controlled to perform the sending work.

[0044] The peak shaving capability includes peak shaving output and peak shaving period, the valley filling capability includes valley filling output and valley filling period, and the peak shaving output and peak shaving period of the distributed energy storage cluster are determined by the peak shaving output and peak shaving period of the distributed energy storage cluster. It is calculated 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 It is the peak shaving 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 period of the i-th distributed energy storage system, To provide valley-filling output for distributed energy storage clusters, t v ′ is the valley-filling 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 period of the i-th distributed energy storage system.

[0045] The peak shaving capability includes peak shaving output and peak shaving period, the valley filling capability includes valley filling output and valley filling period, and the peak shaving output and peak shaving period of the distributed energy storage system are determined by It is calculated 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.

[0046] The demand-side distributed energy storage cloud-edge collaborative operation and control method also includes:

[0047] 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;

[0048] 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 changed to a discharge state and discharges at maximum capacity;

[0049] 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.

[0050] The technical solution adopted by the present invention to solve its technical problem is: to provide an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, and the processor implements the steps of the above-mentioned demand-side distributed energy storage cloud-edge collaborative operation and control method when executing the computer program.

[0051] The technical solution adopted by the present invention to solve its technical problem is: providing a computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, the steps of the above-mentioned demand-side distributed energy storage cloud-edge collaborative operation and control method are implemented.

[0052] Beneficial Effects

[0053] Due to the adoption of the above-mentioned technical solution, the present invention has the following advantages and positive effects compared with the prior art: the present invention obtains the peak-shaving period benchmark point and the valley-filling period benchmark point of the demand-side distributed energy storage by operating the cloud master station, and sends them to the edge terminal. The edge terminal calculates the peak-shaving time period and the valley-filling time period according to the rated charge / discharge time of each distributed energy storage system. This method makes full use of the synergy between 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 present invention also takes into account the operation strategy of the demand-side distributed energy storage in normal mode and the management and control strategy in emergency mode, realizing the multifunctional support role of distributed energy storage for the power grid. BRIEF DESCRIPTION OF THE DRAWINGS

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

[0055] Figure 2 It is a control strategy flow chart of the demand-side distributed energy storage cloud-edge collaborative operation control system of the first embodiment of the present invention;

[0056] Figure 3 It is a flow chart for obtaining a peak shaving output plan and a valley filling output plan in the first embodiment of the present invention. DETAILED DESCRIPTION

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

[0058] The first embodiment of the present invention relates to a demand-side distributed energy storage cloud-edge collaborative operation and management system, such as Figure 1 As shown, it includes: a demand-side distributed energy storage operation cloud master station (referred to as the operation master station), a demand-side distributed energy storage emergency control cloud master station (referred to as the control master station) and an edge terminal, wherein the edge terminal is installed in the distributed energy storage system equipment, connected to the operation master station and the control master station upward, and connected to the energy management system (EMS) and energy storage converter (PCS) of the distributed energy storage system downward.

[0059] The operation master station in this implementation mode includes:

[0060] A determination module is used to determine the peak-shaving period reference point and the valley-filling period reference point of the distributed energy storage cluster; the determination module includes: an acquisition unit, used to obtain the load forecast curve of the next day; a determination unit, used to calculate the highest point P of the load forecast curve p The time is determined as the peak shaving period benchmark point t of the distributed energy storage cluster p , the lowest point P of the load forecast curve v The time is determined as the valley filling period benchmark point t of the distributed energy storage cluster v .

[0061] The sending module is used to send the peak-cutting period reference point t p and the valley filling period benchmark point t v Sending to the edge terminal;

[0062] A sending module, used 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 capacity and valley filling capacity of the distributed energy storage system;

[0063] A cluster computing module is used to 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; wherein the peak shaving capacity of the distributed energy storage cluster is calculated by It is calculated that the valley filling capacity of the distributed energy storage cluster is Calculated, where is the peak shaving output of the distributed energy storage cluster, t′ p It is the peak shaving 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 period of the i-th distributed energy storage system, To provide valley-filling output for distributed energy storage clusters, t v ′ is the valley-filling 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 period of the i-th distributed energy storage system.

[0064] A reporting module, used to report the 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 valley filling capability of the distributed energy storage cluster;

[0065] The control module is used to control the sending module to perform sending work after receiving the operation strategy of the upper-level master station.

[0066] The edge terminal in this embodiment includes:

[0067] The first receiving module is used to receive the peak shaving period reference point t of the distributed energy storage cluster. p and the valley filling period benchmark point t v ;

[0068] A calculation module is used for calculating the peak shaving period reference point t based on the distributed energy storage cluster. p and the valley filling period benchmark point t v , calculate the peak shaving capacity and valley filling capacity of the distributed energy storage system; wherein the calculation module includes: a peak shaving capacity calculation unit, which is used to calculate the peak shaving capacity and valley filling capacity of the distributed energy storage system; Calculate the peak shaving capacity of the distributed energy storage system; where: 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 of the distributed energy storage cluster; the valley-filling capacity calculation unit is used to calculate ... valley-filling capacity of the distributed energy storage cluster; the valley-filling capacity calculation unit is used to calculate the valley-filling capacity of the distributed energy storage cluster; the valley-filling capacity Calculate the valley filling capacity of the distributed energy storage system; where: 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, used 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 used to receive the peak shaving output plan and the valley filling output plan. After receiving the peak shaving output plan and the valley filling output plan, the plan is forwarded to the EMS of the distributed energy storage system, and the EMS 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, used to judge whether an emergency situation occurs; a first instruction sending module, used to send an emergency instruction to the edge terminal when an emergency situation occurs; a second instruction sending module, used to send 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 the 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 implementation 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 command, 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 changed 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 the figure, 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 base 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 at;

[0080] Next, the operation master station sends the peak-cutting period reference point t to the edge terminal. p and the valley filling period benchmark point t v , the edge terminal receives the peak-cutting period reference point t p and the valley filling period benchmark point t 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, 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.

[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 based on the received feedback information, and reports it to the superior master station, so that the superior master station determines the operation strategy based on the peak shaving capacity and valley filling capacity of the distributed energy storage cluster. Among them, the calculation method of the peak shaving capacity of the distributed energy storage cluster is:

[0087]

[0088] in, is the peak shaving output of the distributed energy storage cluster, t′ p It is the peak shaving period of the distributed energy storage cluster.

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

[0090]

[0091] in, To provide valley-filling output for distributed energy storage clusters, t v ′ is the valley-filling period of the distributed energy storage cluster.

[0092] After receiving the operation strategy from the upper-level master station, the operation master station sends the next day's peak output plan and valley output plan 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. On the second day, if no emergency command is received, the local EMS controls the PCS according to the received peak shaving output plan and valley filling output plan.

[0094] It can be seen that the present invention obtains the peak-shaving period benchmark point and valley-filling period benchmark point of the demand-side distributed energy storage by measuring through the operation master station, and sends them to the edge terminal. The edge terminal measures the peak-shaving period and valley-filling period according to the rated charge / discharge time of each distributed energy storage system. This method makes full use of the synergy between 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 present invention also takes into account the operation strategy of the demand-side distributed energy storage in normal mode and the management and control strategy in emergency mode, realizing the multifunctional support role of distributed energy storage for the power grid.

[0095] A second embodiment of the present invention relates to an electronic device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the steps of the demand-side distributed energy storage cloud-edge collaborative operation and control method in the first embodiment are implemented.

[0096] A third embodiment of the present invention relates to a computer-readable storage medium having a computer program stored thereon. When the computer program is executed by a processor, the steps of the demand-side distributed energy storage cloud-edge collaborative operation and control method in the first embodiment are implemented.

[0097] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems, or computer program products. Therefore, the present application may adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment in combination with software and hardware. Moreover, the present application may adopt 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.) that contain computer-usable program code.

[0098] The present application is described with reference to the 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 process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, 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 device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0099] These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer-readable memory produce a manufactured product including an instruction method, which is implemented in the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0100] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process in the computer or other programmable device. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0101] The above is only a specific embodiment of the present invention, but the protection scope of the present invention is not limited thereto. Any person skilled in the art who is familiar with the technical field can easily think of changes or substitutions within the technical scope disclosed by the present invention, which should be included in the protection scope of the present invention. Therefore, the protection scope of the present invention should be based on the protection scope of the claims.

Claims

1. A demand-side distributed energy storage cloud-edge collaborative operation and management system, characterized in that: 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 a peak shaving period benchmark point and a valley filling period benchmark point of a distributed energy storage cluster; A sending module, used 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, used 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 capacity and valley filling capacity of the distributed energy storage system; Edge terminals include: A first receiving module is used 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 used to calculate the peak shaving capacity and valley filling capacity of the distributed energy storage system based on the peak shaving period reference point and valley filling period reference point of the distributed energy storage cluster; An uploading module, used 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 used 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 comprises: 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 prediction 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 prediction 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, used to calculate the peak shaving capability and valley filling capability of a distributed energy storage cluster according to the peak shaving capability and valley filling capability of the distributed energy storage system uploaded by the edge terminal; A reporting module, used to report the 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 valley filling capability of the distributed energy storage cluster; The control module is used to control the sending module to perform sending 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 peak shaving capability includes peak shaving output and peak shaving period, the valley filling capability includes valley filling output and valley filling period, and 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 It is the peak shaving 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 period of the i-th distributed energy storage system, To provide valley-filling output for distributed energy storage clusters, t v ′ is the valley-filling 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 period of the i-th distributed energy storage system.

5. The demand-side distributed energy storage cloud-edge collaborative operation and management system according to claim 1 is characterized in that: The peak shaving capability includes peak shaving output and peak shaving period, the valley filling capability includes valley filling output and valley filling period, and the calculation module includes: Peak shaving capacity calculation unit, used to Calculate the peak shaving output and peak shaving period of the distributed energy storage system; where: 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.

6. 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 judge whether an emergency situation occurs; A first instruction sending module, used for sending an emergency instruction to the edge terminal when an emergency occurs; A second instruction sending module, used for sending a recovery instruction to the edge terminal when no emergency situation occurs; The edge terminal comprises: A first execution module 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 changed to a discharge state and discharges at a 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 the valley filling output plan.

7. 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 reference point and valley filling period reference 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; After receiving the peak shaving capacity and valley filling capacity of each distributed energy storage system, the demand-side distributed energy storage operation cloud master station sends the peak shaving output plan and valley filling output plan to the edge terminal according to the operation strategy, wherein the operation strategy is determined based on the peak shaving capacity and valley filling capacity of the distributed energy storage system.

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

9. The demand-side distributed energy storage cloud-edge collaborative operation and management method according to claim 7 is characterized in that: Before the peak shaving output plan and the valley filling output plan are sent 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 capability and valley filling capability of the distributed energy storage cluster to the superior master station, so that the superior master station determines an operation strategy based on the peak shaving capability and valley filling capability of the distributed energy storage cluster; After receiving the operation strategy of the upper-level master station, the sending module is controlled to perform the sending work.

10. The demand-side distributed energy storage cloud-edge collaborative operation and management method according to claim 9 is characterized in that: The peak shaving capability includes peak shaving output and peak shaving period, the valley filling capability includes valley filling output and valley filling period, and the peak shaving output and peak shaving period of the distributed energy storage cluster are determined by the peak shaving output and peak shaving period of the distributed energy storage cluster. It is calculated that the valley-filling output and valley-filling period of the distributed energy storage cluster are Calculated, among which, is the peak shaving output of the distributed energy storage cluster, t′ p It is the peak shaving 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 period of the i-th distributed energy storage system, To provide valley-filling output for distributed energy storage clusters, t v ′ is the valley-filling 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 period of the i-th distributed energy storage system.

11. The demand-side distributed energy storage cloud-edge collaborative operation and management method according to claim 7 is characterized in that: The peak shaving capability includes peak shaving output and peak shaving period, the valley filling capability includes valley filling output and valley filling period, and the peak shaving output and peak shaving period of the distributed energy storage system are determined by It is calculated that the valley-filling output and valley-filling period of the distributed energy storage system are Calculated; where P tp,i 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 is the peak shaving period benchmark point of the distributed energy storage cluster; tv,i 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.

12. The demand-side distributed energy storage cloud-edge collaborative operation and management method according to claim 7 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 is changed 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.

13. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, it implements the steps of the demand-side distributed energy storage cloud-edge collaborative operation and control method as described in any one of claims 7-12.

14. 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 7-12 are implemented.

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