Chaos Immune Genetic Algorithm and Its Applications for Fault Diagnosis

摘要：

In this paper, Chaos immune genetic algorithm　(CIGA) is proposed. CIGA can improve search speed and avoid local optimization by adding chaos sequence which initialize antibody and renew antibody to enhancing the diversity of antibody. The proposed algorithm is applied to fault Diagnosis of power systems, which can help the operators judge the cause, location and fault elements rapidly and accurately from the protective relay failures and circuit breaker malfunction. The simulation results show that the approach is correct and efficient.

关键词： Chaos Immune Genetic Algorithm Fault Diagnosis Power System

作者: Wanyu Tan Jianzhong Wang Ying Pan Xiangping Meng Jingweijia Tan

作者单位: Department of Electrical Engineering, Changchun Institute of Technology, Changchun 130012 P. R. Chin Department of Information Engineering, Northeast Dianli University, Jilin 132012 P. R. China Department of Computer Science, JiLin University, Changchun 130012 P. R China.

会议类型: 国际会议

会议名称: 第四届亚太地区混沌控制与同步会议(The Fourth Asia-Pacific Workshop on Chaos Control and Synchronization)

会议地点: 哈尔滨

会议语种:英文

页码: 128-134

在线出版日期: 2007-08-24（万方平台首次上网日期，不代表论文的发表时间）