An Electric Power System Fault Diagnosis Method Based on PSO and FCM

被引:2
|
作者
Cheng, Jie [1 ]
机构
[1] Xian Engn Coll Armed Police Force, Xian, Peoples R China
关键词
Fault Diagnosis; PSO; FCM; Electric Power System; PARTICLE SWARM ALGORITHM; OPTIMIZATION;
D O I
10.4028/www.scientific.net/AMM.241-244.347
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
For effectively analyzing electric power faults, exactly identifying failure type, and highly providing disposal measure, depending on PSO (particle swarm optimization) algorithm, a PSO-FCM (particle swarm optimization-fuzzy c-means) algorithm was constructed by the FCM improvement of fuzzy clustering to avoid get in local optimal state. On this basis, an electric power system fault diagnosis method was established by means of PSO and FCM. Finally, this method was validated by an example. Consequently, this method can intellectively diagnose and identify the fault of electric power system, and can provide a new approach to stably operation in electric power system.
引用
收藏
页码:347 / 350
页数:4
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