The immune genetic algorithm in fault diagnosis of modern power system
The immune genetic algorithm is widely used in electric power system for its unique characteristics, and it can identify the fault components accurately and can quickly identify the fault zone through the fault hypothesis. Then the results of fault diagnosis could be shown by using of simulation programs and simulation examples. The experimental results show that the use of immune genetic algorithm to build a mathematical model can find the fault location and fault diagnosis area accurately, and further, the algorithm is simple and can be implemented by hardware easily. So it is helpful for the electric power systems because of the strong theoretical and technical basis be provided in failure component diagnosis.
failure component fault location immune genetic algorithm
Lin He Kun-ning Jia Zun-qiang Fan
School of Electrical Engineering Changchun Institute of Technolog Changchun, Jilin Province, China School of Electrical and Mechanical Changchun Institute of Technolog Changchun, Jilin Province, Chin College of Mechanical Science and Technology JiLin University Changchun, Jilin Province, China
国际会议
上海
英文
26-29
2010-06-22（万方平台首次上网日期，不代表论文的发表时间）