一种层级拓扑重组与多智能体协同的配电网受扰恢复方法
By employing a hierarchical topology reorganization and multi-agent collaboration approach, the problems of information interaction delay and slow resource response in distribution networks under extreme events are solved, enabling rapid self-healing recovery and improved equipment security. This optimizes resource allocation efficiency and addresses the issues of equipment aging and collaborative mechanism failure in traditional recovery strategies.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- WUHAN UNIV OF TECH
- Filing Date
- 2026-01-26
- Publication Date
- 2026-07-17
AI Technical Summary
Existing power distribution network restoration solutions suffer from problems such as high information exchange delays, slow resource response, lack of detailed consideration of equipment aging and wear and tear, and failure of coordination mechanisms when facing extreme events, resulting in low restoration efficiency and difficulty in ensuring equipment safety.
By employing a hierarchical topology reorganization and multi-agent collaboration approach, and through a distributed collaboration mechanism and a physical loss characteristic model, a quantitative resource scheduling signal is constructed to achieve rapid topology reorganization and distributed control, optimize supply and demand matching, introduce a game theory mechanism for resource scheduling, establish the operational boundary of the capacity service entity, optimize the collaborative weight of the power supply nodes, and construct a multi-level resource scheduling signal system.
It enables rapid self-healing recovery of the distribution network under extreme events, improves system resilience and operational flexibility, ensures equipment safety and resource allocation efficiency, reduces communication overhead and computation convergence time, and avoids excessive overdraft of energy storage resources and equipment aging.
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Figure CN122418641A_ABST