National Natural Science Foundation of China [62003157]; National Natural Science Foundation of China [21B0434]; Research Foundation of Education Bureau of Hunan Province
机构署名：
本校为第一且通讯机构
院系归属：
电气工程学院
摘要：
The fault location of an active distribution network is a vital analysis to prevent major outages in the power system. Considering the influence of renewable distributed generations on fault characteristics, this paper proposes a novel location method based on a dynamic quantum genetic algorithm to solve for fault locations in active distribution networks. In the method, the fault current code is measured based on feeder terminal units. A universal switching function is presented to convert the feeder switch status into an uploaded fault current code. The fault location model is defined as an ...
