Hierarchical architecture optimization method and device of virtual power plant, equipment and medium
Through the hierarchical architecture optimization method, virtual power plants improve reliability and stability in user resource scheduling, solve the problem of insufficient personalized utilization of resource scheduling, and realize the security and economic benefits of the system.
CN119494584AActive Publication Date: 2025-02-21CHINA ENERGY ENG GRP GUANGDONG ELECTRIC POWER DESIGN INST CO LTD
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Patent Information
- Application Number
- CN202411573743.8
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-11-06
- Publication Date
- 2025-02-21
- Estimated Expiration
- 2044-11-06
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Figure CN119494584A_ABST
Abstract
The invention relates to the technical field of virtual power plant architecture optimization, and discloses a hierarchical architecture optimization method and device for a virtual power plant, equipment and a medium, and the method comprises the steps: constructing an initial control architecture of the virtual power plant, and enabling a plurality of third nodes on a third hierarchy to be used for representing a first type of users and a second type of users; key hub identification is carried out on the second node based on the hub topological connection relation and the economic value data of the second node so as to determine hub nodes used for representing a key aggregator platform; performing system decoupling identification to determine a decoupling node, and taking a plurality of third nodes connected with the decoupling node as autonomous nodes for representing the first type of users; under the condition that the hub nodes and the autonomous nodes are kept unchanged, the to-be-adjusted nodes are optimized, and a target control architecture of the virtual power plant is obtained; the to-be-adjusted nodes are other nodes except the hub nodes and the autonomous nodes in the initial control architecture, so that the reliability and the stability of the virtual power plant during user resource scheduling are realized.
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