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.

CN122418641APending Publication Date: 2026-07-17WUHAN UNIV OF TECH
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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

Technical Problem

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.

Method used

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.

Benefits of technology

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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Abstract

本发明公开了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。该方法首先基于故障感知重组物理拓扑,将分布式节点聚合为自适应供能分区;其次,建立计及物理退化特性的共享储能状态模型,将寿命损耗内生化为技术约束;进而,基于物理调节能力与需求紧迫度生成协同权重,执行双阶段优化:第一阶段通过鲁棒‑机会约束计算全局安全边界,第二阶段基于纳什议价的一致性算法实现多智能体分布式功率协同;最后将优化解转化为物理指令下发。本发明有效规避了商业市场依赖,在保障物理安全的前提下,实现了受扰后配电网的快速自愈与资源高效利用。
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