Risk Analysis Using Multi-Source Data for Distribution Networks Facing Extreme Natural Disasters  

作　　者：Jun Yang Nannan Wang Jiang Wang Yashuai Luo 

机构地区：[1]School of Information Engineering,Beijing Institute of Petrochemical Technology,Beijing,102617,China

出　　处：《Energy Engineering》2023年第9期2079-2096,共18页能源工程（英文）

摘　　要：Distribution networks denote important public infrastructure necessary for people’s livelihoods.However,extreme natural disasters,such as earthquakes,typhoons,and mudslides,severely threaten the safe and stable operation of distribution networks and power supplies needed for daily life.Therefore,considering the requirements for distribution network disaster prevention and mitigation,there is an urgent need for in-depth research on risk assessment methods of distribution networks under extreme natural disaster conditions.This paper accessesmultisource data,presents the data quality improvement methods of distribution networks,and conducts data-driven active fault diagnosis and disaster damage analysis and evaluation using data-driven theory.Furthermore,the paper realizes real-time,accurate access to distribution network disaster information.The proposed approach performs an accurate and rapid assessment of cross-sectional risk through case study.The minimal average annual outage time can be reduced to 3 h/a in the ring network through case study.The approach proposed in this paper can provide technical support to the further improvement of the ability of distribution networks to cope with extreme natural disasters.

关 键 词：Distribution network disaster damage analysis fault judgment multi-source data 

分 类 号：TM727[电气工程—电力系统及自动化]