Review on distribution network damage prediction and assessment under typhoon disasters

Abstract

How to deal with damage to the power grid caused by natural disasters has become one of the main research focus of disaster prevention and mitigation. This paper collates two main approaches to distribution network damage prediction and assessment under typhoon disasters: based on physical model-driven and data model-driven. Research based on physical models is divided into three parts by considering real-time wind speed correction, meteorological forecast information, and non-meteorological information. The field of data-driven models includes single-algorithm models and multi-algorithm models. These methods are known for their high accuracy, but have a strong dependence on data. Finally, the paper explores the potential benefits of integrating physical and data model-driven approaches, as well as implementing additional defensive measures based on predictive results.