摘要
为提升配电网在灾害情境下的恢复能力,研究基于通信-物理耦合的配电网灾后恢复策略。首先,构建通信-物理耦合配电网系统模型,提出基于图论的关键节点识别方法;其次,设计深度学习驱动的损伤评估模型,建立通信-电力协同感知框架;最后,提出考虑通信约束的多阶段恢复规划方法,并基于强化学习构建自适应恢复决策模型。
In order to improve the recovery ability of distribution network in disaster situation,the postdisaster recovery strategy of distribution network based on communication-physical coupling is studied.Firstly,a communication-physical coupling distribution network system model is constructed,and a key node identification method based on graph theory is proposed.Secondly,a damage assessment model driven by deep learning is designed,and a communication-power collaborative sensing framework is established.Finally,a multi-stage recovery planning method considering communication constraints is proposed,and an adaptive recovery decision model is constructed based on reinforcement learning.
作者
万珍
宫爽
WAN Zhen;GONG Shuang(State Grid Hubei Electric Power Company Wuhan Power Supply Company,Wuhan 430000,China;Wuhan East-West Lake District Power Supply Company,State Grid Hubei Power Co.,Ltd.,Wuhan 430000,China)
出处
《通信电源技术》
2025年第15期234-236,共3页
Telecom Power Technology
关键词
通信-物理耦合
配电网
灾后恢复
communication-physical coupling
distribution network
post-disaster recovery
