Distributed resource cooperative control method and system

Abstract

The invention discloses a distributed resource cooperative control method and system, and the method comprises the steps: obtaining the state information of distributed energy resources of a fusion terminal in real time, carrying out the resource aggregation of the state information, and obtaining a resource aggregation model of the distributed energy resources; generating a control instruction of the fusion terminal according to the resource aggregation model; and decomposing the control instruction according to an overall control target to obtain sub-instructions of different types of distributed energy resources, and performing cooperative control on the corresponding distributed energy resources according to the sub-instructions to realize distributed energy resource management and control. Accurate aggregation of distributed resources is achieved through the fusion terminal, a resource aggregation model is constructed, the overall operation state and the resource configuration condition of a transformer area are reflected, a control instruction is generated and optimized according to the model, and therefore the operation efficiency and reliability of the system are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of power systems, and in particular to a distributed resource collaborative control method and system. Background Art

[0002] Under the background of dual carbon, influenced by factors such as policy incentives and regulation, and pressure from industrial transformation, the demand for active load management by small and medium-sized users has surged. Under the conditions where the power grid construction is relatively weak and distributed new energy resources are abundant, improving the self-balancing ability of power on the load side through load-side energy management is an effective way to improve the reliability of user power supply. The centralized control method of the existing power grid energy management system is difficult to control a large number of users and massive distributed resources on the load side, and the existing distribution network station fusion terminal does not yet have energy management functions, and can only realize customized simple logical operations and control functions, which cannot adapt to the autonomous and flexible adjustment needs of distributed resources on the load side under the background of new power system construction.

[0003] Therefore, the current extensive development of distributed resources faces the problem of high cost of control terminals and the inability to tap the regulation potential of each electrical equipment. For this reason, it is urgent to develop low-cost, lightweight, easy-to-expand control terminals with comprehensive analytical and computing functions to support intelligent perception, aggregation and optimization control of user active loads. Summary of the invention

[0004] The present invention provides a distributed resource collaborative control method and system, which utilizes the existing distribution network substation fusion terminal to manage substation energy. It can realize intelligent collaborative control of distributed energy resources and traditional energy equipment without the need to develop new equipment, thereby ensuring the stability of power supply.

[0005] In order to achieve the above object, an embodiment of the present invention provides a distributed resource collaborative control method, including:

[0006] Acquire the state information of the distributed energy resources of the fusion terminal in real time, perform resource aggregation on the state information, and obtain a resource aggregation model of the distributed energy resources;

[0007] Generating control instructions for the fusion terminal according to the resource aggregation model;

[0008] According to the overall control target, the control instruction is decomposed to obtain sub-instructions of different types of distributed energy resources, and the corresponding distributed energy resources are coordinated and controlled according to the sub-instructions to realize distributed energy resource management and control.

[0009] As an improvement of the above solution, the real-time acquisition of the state information of the distributed energy resources of the fusion terminal, resource aggregation of the state information, and obtaining the resource aggregation model of the distributed energy resources include:

[0010] Using edge computing technology of the fusion terminal to obtain status information of the distributed energy resources of the fusion terminal in real time;

[0011] A distributed resource aggregation algorithm is used to perform mathematical modeling and optimal combination on the state information to obtain a resource aggregation model of the distributed energy resources.

[0012] As an improvement of the above scheme, the control instruction is decomposed according to the overall control target to obtain sub-instructions of different types of distributed energy resources, and the corresponding distributed energy resources are collaboratively controlled according to the sub-instructions to achieve distributed energy resource management and control, including:

[0013] Obtaining the overall control target of the substation where the fusion terminal is located; and performing hierarchical and modular decomposition of the control instructions according to the overall control target to obtain sub-instructions of different types of distributed energy resources;

[0014] The sub-instructions are optimized by utilizing the distributed computing capability of the fusion terminal, and the corresponding distributed energy resources are collaboratively controlled according to the optimized sub-instructions through the collaborative control technology of the fusion terminal to achieve distributed energy resource management and control.

[0015] As an improvement of the above solution, the status information includes power generation, energy storage status, and environmental parameters.

[0016] As an improvement of the above solution, the distributed energy resources include photovoltaic power generation equipment, controllable loads, charging piles and energy storage equipment.

[0017] In order to achieve the above object, an embodiment of the present invention provides a distributed resource collaborative control system, including:

[0018] A status information acquisition module is used to acquire the status information of the distributed energy resources of the fusion terminal in real time, perform resource aggregation on the status information, and obtain a resource aggregation model of the distributed energy resources;

[0019] A control instruction generation module, used to generate a control instruction of the fusion terminal according to the resource aggregation model;

[0020] The control instruction decomposition module is used to decompose the control instruction according to the overall control target to obtain sub-instructions of different types of distributed energy resources, and to coordinately control the corresponding distributed energy resources according to the sub-instructions to achieve distributed energy resource management and control.

[0021] As an improvement of the above solution, the status information acquisition module is used to:

[0022] Using edge computing technology of the fusion terminal to obtain status information of the distributed energy resources of the fusion terminal in real time;

[0023] A distributed resource aggregation algorithm is used to perform mathematical modeling and optimal combination on the state information to obtain a resource aggregation model of the distributed energy resources.

[0024] As an improvement of the above solution, the control instruction decomposition module is used to:

[0025] Obtaining the overall control target of the substation where the fusion terminal is located; and performing hierarchical and modular decomposition of the control instructions according to the overall control target to obtain sub-instructions of different types of distributed energy resources;

[0026] The sub-instructions are optimized by utilizing the distributed computing capability of the fusion terminal, and the corresponding distributed energy resources are collaboratively controlled according to the optimized sub-instructions through the collaborative control technology of the fusion terminal to achieve distributed energy resource management and control.

[0027] As an improvement of the above solution, the status information includes power generation, energy storage status, and environmental parameters.

[0028] As an improvement of the above solution, the distributed energy resources include photovoltaic power generation equipment, controllable loads, charging piles and energy storage equipment.

[0029] Compared with the prior art, the embodiment of the present invention discloses a distributed resource collaborative control method and system, which acquires the status information of the distributed energy resources of the fusion terminal in real time, aggregates the status information, and obtains the resource aggregation model of the distributed energy resources; generates the control instructions of the fusion terminal according to the resource aggregation model; decomposes the control instructions according to the overall control target, obtains the sub-instructions of different types of distributed energy resources, and performs collaborative control on the corresponding distributed energy resources according to the sub-instructions to achieve distributed energy resource management and control. Accurate aggregation of distributed resources is achieved through the fusion terminal, and a resource aggregation model is constructed to reflect the overall operating status and resource configuration of the substation, and control instructions are generated and optimized according to this model to improve the operating efficiency and reliability of the system; the existing distribution network substation fusion terminal is used to manage the substation energy, and the intelligent collaborative control of distributed energy resources and traditional energy equipment can be achieved without the need to develop new equipment, thereby ensuring the stability of power supply. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] Figure 1 It is a flow chart of a distributed resource collaborative control method provided by an embodiment of the present invention;

[0031] Figure 2It is a schematic diagram of the overall architecture of a distributed resource collaborative control provided by an embodiment of the present invention;

[0032] Figure 3 It is a functional module diagram of a converged terminal provided by an embodiment of the present invention;

[0033] Figure 4 It is a structural diagram of a distributed resource collaborative control system provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0034] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0035] It should be noted that the terms "comprises" and "specifically" and any variations of the present invention are intended to cover non-exclusive inclusions. For example, a process, method, system, product or apparatus comprising a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units that are not explicitly listed or inherent to these processes, methods, products or apparatuses.

[0036] See also Figure 1 , Figure 1 1 is a flow chart of a distributed resource collaborative control method provided by an embodiment of the present invention, the distributed resource collaborative control method comprising:

[0037] S1, acquiring status information of distributed energy resources of the fusion terminal in real time, performing resource aggregation on the status information, and obtaining a resource aggregation model of the distributed energy resources;

[0038] S2, generating a control instruction for the fusion terminal according to the resource aggregation model;

[0039] S3, according to the overall control target, decompose the control instruction to obtain sub-instructions of different types of distributed energy resources, and coordinately control the corresponding distributed energy resources according to the sub-instructions to achieve distributed energy resource management and control.

[0040] Exemplarily, accurate aggregation of distributed resources is achieved on the fusion terminal hardware platform, such as through the edge computing module on the fusion terminal, the status information of distributed energy resources is collected in real time, and the aggregation algorithm is used to accurately mathematically model and optimize the combination of each distributed resource, so as to achieve real-time scheduling and optimal configuration of distributed resources; based on the control instruction optimization decomposition strategy of the fusion terminal, such as by analyzing the overall control objectives of the substation, hierarchical and modular decomposition of the control instructions, and using the distributed computing capabilities and collaborative control technology of the fusion terminal to achieve real-time control of each distributed resource and optimized execution of instructions, thereby improving the operating efficiency and stability of the overall substation power grid; it is worth noting that the fusion terminal has powerful edge computing capabilities and real-time data processing capabilities, which can support accurate aggregation of distributed resources and optimized decomposition of control instructions; at the same time, the fusion terminal supports various commonly used industrial communication protocols, and can realize real-time interaction with distributed energy resources and the issuance of control instructions.

[0041] Specifically, the step S1 includes:

[0042] S11, using edge computing technology of the fusion terminal to obtain status information of distributed energy resources of the fusion terminal in real time;

[0043] S12, using a distributed resource aggregation algorithm to perform mathematical modeling and optimal combination on the state information to obtain a resource aggregation model of the distributed energy resources.

[0044] For example, the fusion terminal has edge computing capabilities, which can collect the status information of each distributed energy resource in real time, including power generation, energy storage status, environmental parameters, etc.; this information is input into the distributed resource aggregation algorithm, which will perform mathematical modeling and optimization combination based on the status information of each distributed energy resource to form a resource aggregation model. The resource aggregation model reflects the overall operating status and resource allocation of the virtual power plant.

[0045] Specifically, the step S3 includes:

[0046] S31, obtaining the overall control target of the substation where the fusion terminal is located; according to the overall control target, performing hierarchical and modular decomposition on the control instruction to obtain sub-instructions of different types of distributed energy resources;

[0047] S32, utilizing the distributed computing capability of the fusion terminal to optimize the sub-instructions, and according to the optimized sub-instructions, using the collaborative control technology of the fusion terminal, collaboratively controlling the corresponding distributed energy resources to achieve distributed energy resource management and control.

[0048] Exemplarily, the overall control objectives of the virtual power plant (substation) are analyzed, and according to the overall control objectives, the control instructions are decomposed in a hierarchical and modular manner. The distributed computing capabilities and collaborative control technology of the fusion terminal are used to achieve real-time control of each distributed resource and optimized execution of instructions; the optimized control instructions are sent to the distributed energy resources in real time to achieve an optimized operating state.

[0049] Specifically, the status information includes power generation, energy storage status, and environmental parameters.

[0050] Specifically, the distributed energy resources include photovoltaic power generation equipment, controllable loads, charging piles and energy storage equipment.

[0051] In a specific embodiment, Figure 2 As shown, Figure 2 It is a schematic diagram of the overall architecture of a distributed resource collaborative control provided by an embodiment of the present invention; Figure 2 It includes various terminal devices of distributed resources (distributed photovoltaic, controllable load, charging pile and energy storage equipment), fusion terminal (virtual power plant control center 1 and 2), communication network and virtual power plant cloud platform system, and realizes distributed resource management and control through the end-edge-network-cloud layered control framework. The fusion terminal has edge computing and real-time data processing capabilities, and interacts with distributed energy resources in real time through the communication network. Distributed energy resources include photovoltaic power generation equipment, controllable load, charging pile and energy storage equipment. The virtual power plant cloud platform system is responsible for remote monitoring and management of the fusion terminal to achieve the overall control goal of the power grid in the substation area. For example, the virtual power plant cloud platform system controls the fusion terminal to collect status information (data collection) of various terminal devices of distributed resources, and transmits it to the virtual power plant cloud platform system through the communication network (4G / 5G / optical fiber). The virtual power plant cloud platform system aggregates the status information to obtain a resource aggregation model of the distributed energy resources, and generates control instructions for the fusion terminal based on the resource aggregation model and power generation forecast; the control instructions are sent to the fusion terminal, and the fusion terminal decomposes the control instructions and coordinates the corresponding distributed energy resources according to the sub-instructions to achieve distributed energy resource management and control.

[0052] For example, in a substation, there are multiple distributed energy resources, such as photovoltaic power generation equipment, wind power equipment, energy storage equipment, etc. In the substation of distributed energy resources, a fusion terminal is deployed. The fusion terminal has edge computing capabilities and can collect the status information of each distributed energy resource in real time, including power generation, energy storage status, environmental parameters, etc. The fusion terminal inputs this information into the distributed resource aggregation algorithm, which performs mathematical modeling and optimization combination according to the status information of each distributed energy resource to form a resource aggregation model. The resource aggregation model reflects the overall operating status and resource configuration of the virtual power plant. Based on the resource aggregation model, the fusion terminal generates corresponding control instructions and sends the control instructions to each distributed energy resource through the communication network. The control instructions include the adjustment of power generation, the change of energy storage status, etc. The fusion terminal also decomposes the control instructions in a hierarchical and modular manner according to the overall control objectives of the virtual power plant, and uses its distributed computing capabilities and collaborative control technology to achieve real-time control of each distributed resource and optimized execution of instructions.

[0053] The embodiment of the present invention realizes the accurate aggregation of distributed resources through the fusion terminal, optimizes the decomposition process of control instructions, builds a resource aggregation model, reflects the overall operation status and resource configuration of the virtual power plant, and generates and optimizes control instructions based on this model to improve the operation efficiency and reliability of the system. The fusion terminal supports various commonly used industrial communication protocols, and exchanges real-time data and issues control instructions with distributed energy resources through protocol adaptation, conversion and integrated protocol stacks. Provide standardized interfaces, promote interoperability between systems, simplify system integration, and improve system integration and reliability. Utilize the edge computing and real-time data processing capabilities of the fusion terminal to reduce system construction costs and improve system efficiency; the terminal processes data at the edge, optimizes resource configuration, quickly responds to real-time data, and reduces the load on the central server, thereby reducing costs and improving system performance.

[0054] In another specific embodiment, Figure 3 As shown, Figure 3 It is a functional module diagram of a fusion terminal provided by an embodiment of the present invention; the fusion terminal includes a data processing module, an edge computing module, a communication module and a user interface module. The data processing module is responsible for real-time processing and analysis of the collected data and generating control instructions. The edge computing module is responsible for real-time collection of status information of distributed energy resources, mathematical modeling and optimization combination, and accurate aggregation of resources. The communication module is responsible for real-time interaction with distributed energy resources to implement the issuance of control instructions. The control module is responsible for real-time control of distributed energy resources to achieve an optimized operating state. The user interface module is responsible for remote interaction with the virtual power plant management system and provides real-time monitoring and control functions.

[0055] For example, in a larger-scale urban power system, more distributed energy resources are included, such as multiple photovoltaic power stations, wind farms, energy storage facilities, etc. Multiple fusion terminals are deployed near these distributed energy resources. Each fusion terminal has edge computing capabilities and can collect status information of each distributed energy resource in real time. The fusion terminal inputs this information into the distributed resource aggregation algorithm to form a resource aggregation model. The resource aggregation model reflects the overall operating status and resource configuration of the virtual power plant. Based on the resource aggregation model, the fusion terminal generates corresponding control instructions and sends the control instructions to each distributed energy resource through the communication network. The fusion terminal also decomposes the control instructions hierarchically and modularly according to the overall control objectives of the virtual power plant, and uses its distributed computing capabilities and collaborative control technology to achieve real-time control of each distributed resource and optimized execution of instructions. The fusion terminal supports various commonly used industrial communication protocols and can interact with distributed energy resources in real time and issue control instructions.

[0056] The embodiments of the present invention reduce system complexity and improve system response speed and stability through precise resource aggregation and optimized control instruction decomposition; utilize the edge computing capability and real-time data processing capability of the fusion terminal, reduce the demand for high-performance computing equipment, and reduce system construction costs; the fusion terminal supports various commonly used industrial communication protocols, can realize real-time interaction with distributed energy resources and the issuance of control instructions, and simplify the system deployment and maintenance process.

[0057] A distributed resource collaborative control method disclosed in an embodiment of the present invention obtains the status information of the distributed energy resources of the fusion terminal in real time, aggregates the status information, and obtains a resource aggregation model of the distributed energy resources; generates control instructions for the fusion terminal according to the resource aggregation model; decomposes the control instructions according to the overall control target to obtain sub-instructions of different types of distributed energy resources, and performs collaborative control on the corresponding distributed energy resources according to the sub-instructions to achieve distributed energy resource management and control. Accurate aggregation of distributed resources is achieved through the fusion terminal, and a resource aggregation model is constructed to reflect the overall operating status and resource configuration of the substation, and control instructions are generated and optimized based on this model to improve the operating efficiency and reliability of the system; the existing distribution network substation fusion terminal is used to manage the substation energy, and intelligent collaborative control of distributed energy resources and traditional energy equipment can be achieved without the need to develop new equipment, thereby ensuring the stability of power supply.

[0058] See also Figure 4 , Figure 4 1 is a schematic diagram of a distributed resource collaborative control system 10 provided in an embodiment of the present invention. The distributed resource collaborative control system 10 includes:

[0059] The state information acquisition module 11 is used to acquire the state information of the distributed energy resources of the fusion terminal in real time, perform resource aggregation on the state information, and obtain a resource aggregation model of the distributed energy resources;

[0060] A control instruction generating module 12, configured to generate a control instruction for the converged terminal according to the resource aggregation model;

[0061] The control instruction decomposition module 13 is used to decompose the control instruction according to the overall control target to obtain sub-instructions of different types of distributed energy resources, and to coordinately control the corresponding distributed energy resources according to the sub-instructions to achieve distributed energy resource management and control.

[0062] Specifically, the status information acquisition module 11 is used to:

[0063] Using edge computing technology of the fusion terminal to obtain status information of the distributed energy resources of the fusion terminal in real time;

[0064] A distributed resource aggregation algorithm is used to perform mathematical modeling and optimal combination on the state information to obtain a resource aggregation model of the distributed energy resources.

[0065] Specifically, the control instruction decomposition module 13 is used to:

[0066] Obtaining the overall control target of the substation where the fusion terminal is located; and performing hierarchical and modular decomposition of the control instructions according to the overall control target to obtain sub-instructions of different types of distributed energy resources;

[0067] The sub-instructions are optimized by utilizing the distributed computing capability of the fusion terminal, and the corresponding distributed energy resources are collaboratively controlled according to the optimized sub-instructions through the collaborative control technology of the fusion terminal to achieve distributed energy resource management and control.

[0068] Specifically, the status information includes power generation, energy storage status, and environmental parameters.

[0069] Specifically, the distributed energy resources include photovoltaic power generation equipment, controllable loads, charging piles and energy storage equipment.

[0070] A distributed resource collaborative control system 10 provided in an embodiment of the present invention can implement all processes of the distributed resource collaborative control method of the above-mentioned embodiment. The functions of each module in the system and the technical effects achieved are respectively the same as the functions of the distributed resource collaborative control method of the above-mentioned embodiment and the technical effects achieved, which will not be repeated here.

[0071] The above is a preferred embodiment of the present invention. It should be pointed out that a person skilled in the art can make several improvements and modifications without departing from the principle of the present invention. These improvements and modifications are also considered to be within the scope of protection of the present invention.

Claims

1. A distributed resource collaborative control method, characterized in that: include: Acquire the state information of the distributed energy resources of the fusion terminal in real time, perform resource aggregation on the state information, and obtain a resource aggregation model of the distributed energy resources; Generating control instructions for the fusion terminal according to the resource aggregation model; According to the overall control target, the control instruction is decomposed to obtain sub-instructions of different types of distributed energy resources, and the corresponding distributed energy resources are coordinated and controlled according to the sub-instructions to realize distributed energy resource management and control.

2. The distributed resource collaborative control method according to claim 1, characterized in that: The real-time acquisition of the state information of the distributed energy resources of the fusion terminal, resource aggregation of the state information, and obtaining the resource aggregation model of the distributed energy resources include: Using edge computing technology of the fusion terminal to obtain status information of the distributed energy resources of the fusion terminal in real time; A distributed resource aggregation algorithm is used to perform mathematical modeling and optimal combination on the state information to obtain a resource aggregation model of the distributed energy resources.

3. The distributed resource collaborative control method according to claim 1, characterized in that: According to the overall control target, the control instruction is decomposed to obtain sub-instructions of different types of distributed energy resources, and the corresponding distributed energy resources are collaboratively controlled according to the sub-instructions to achieve distributed energy resource management and control, including: Obtaining the overall control target of the substation where the fusion terminal is located; and performing hierarchical and modular decomposition of the control instructions according to the overall control target to obtain sub-instructions of different types of distributed energy resources; The sub-instructions are optimized by utilizing the distributed computing capability of the fusion terminal, and the corresponding distributed energy resources are collaboratively controlled according to the optimized sub-instructions through the collaborative control technology of the fusion terminal to achieve distributed energy resource management and control.

4. The distributed resource collaborative control method according to claim 1, characterized in that: The status information includes power generation, energy storage status, and environmental parameters.

5. The distributed resource collaborative control method according to claim 1, characterized in that: The distributed energy resources include photovoltaic power generation equipment, controllable loads, charging piles and energy storage equipment.

6. A distributed resource collaborative control system, characterized in that: include: A status information acquisition module is used to acquire the status information of the distributed energy resources of the fusion terminal in real time, perform resource aggregation on the status information, and obtain a resource aggregation model of the distributed energy resources; A control instruction generation module, used to generate a control instruction of the fusion terminal according to the resource aggregation model; The control instruction decomposition module is used to decompose the control instruction according to the overall control target to obtain sub-instructions of different types of distributed energy resources, and to coordinately control the corresponding distributed energy resources according to the sub-instructions to achieve distributed energy resource management and control.

7. The distributed resource collaborative control system according to claim 6, characterized in that: The status information acquisition module is used to: Using edge computing technology of the fusion terminal to obtain the status information of the distributed energy resources of the fusion terminal in real time; A distributed resource aggregation algorithm is used to perform mathematical modeling and optimal combination on the state information to obtain a resource aggregation model of the distributed energy resources.

8. The distributed resource collaborative control system according to claim 6, characterized in that: The control instruction decomposition module is used to: Obtaining the overall control target of the substation where the fusion terminal is located; and performing hierarchical and modular decomposition of the control instructions according to the overall control target to obtain sub-instructions of different types of distributed energy resources; The sub-instructions are optimized by utilizing the distributed computing capability of the fusion terminal, and the corresponding distributed energy resources are collaboratively controlled according to the optimized sub-instructions through the collaborative control technology of the fusion terminal to achieve distributed energy resource management and control.

9. The distributed resource collaborative control system according to claim 6, characterized in that: The status information includes power generation, energy storage status, and environmental parameters.

10. The distributed resource collaborative control system according to claim 6, characterized in that: The distributed energy resources include photovoltaic power generation equipment, controllable loads, charging piles and energy storage equipment.

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