Resarching on the fault diagnosis method of the shipboard power system
Jialin Wang, Li Xia, Zhengguo Wu, Yang Xuan-fang · International Conference on Modelling, Identification and Control · 2012
the performance of quantum genetic algorihtm is better than the common genetic algorithm such as species diversity, convergence and golbal optimal ability. Based on the analysis of the idiographic configuration of the shipboard power system and the characteristic of the collocation of its protection, the fault diagnosis model is presented considering the influence of each protection and the joint inflience between the main and back-up protactions. The quantum genetic algorithm is used to resolve the fault diagnosis model. The fault diagnosis examples show the rationality and veracity of the proposed method.