中国电机工程学报2026，Vol.46Issue(8)：3196-3209,中插11,15.DOI:10.13334/j.0258-8013.pcsee.242987
基于天地一体化通信的配电网灾后信息-物理协同恢复框架与模型
Cyber-physical Collaborative Restoration Framework and Model for Power Distribution Networks With Satellite-terrestrial Communications
摘要
Abstract
The rapid development of modern power systems with tightly coupled cyber-physical interactions has also increased the risks of cyber-physical cascading faults.Low earth orbit(LEO)satellite internet,as a novel communication medium,offers unique advantages,including low susceptibility to ground-based disasters,wide coverage,low latency,and high bandwidth,providing a new pathway for enhancing the resilience of cyber-physical power systems.This study,from the perspective of LEO satellite internet supporting post-disaster restoration,proposes a cyber-physical collaborative restoration framework and model for power distribution networks with satellite-terrestrial communications.This framework elucidates the coupling relationships between power grids and communication networks in terms of energy supply,information exchange,and temporal recovery under integrated satellite-terrestrial communications.It further characterizes the cyber-physical collaborative restoration process of power distribution networks,considering constraints such as satellite communication terminal deployment,satellite communication link capacity,and satellite communication duration.To reduce computational complexity,this paper employs linearization techniques and feasible region reduction methods.The effectiveness of the proposed model and method are verified through the case study of the 10-node information network-IEEE 33-node power distribution network system.关键词
信息-物理协同/配电网恢复/卫星互联网/天地一体化通信/线性化方法Key words
cyber-physical collaboration/power distribution network restoration/satellite internet/satellite-terrestrial communications/linearization method分类
信息技术与安全科学引用本文复制引用
王晗,胡喆,周全,严正,肖云鹏,潘爱强..基于天地一体化通信的配电网灾后信息-物理协同恢复框架与模型[J].中国电机工程学报,2026,46(8):3196-3209,中插11,15.基金项目
国家自然科学基金项目(52107116,52477091).Project Supported by National Natural Science Foundation of China(52107116,52477091). （52107116,52477091）
