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《Electric Power Automation Equipment》 2007-05
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Chaos immune genetic algorithm in power system fault diagnosis

MENG Xiang-ping 1,PAN Ying 2,GENG Wei-xing 2,HUO Fei 2,GAO Yan 1(1.Changchun Institute of Technology,Changchun 130012,China;2.Northeast Dianli University,Jilin 132012,China)  
Combining immune algorithm,chaos algorithm and genetic algorithm together,a chaos immune genetic algorithm is presented for power system fault diagnosis.Using the over-spread cha-racter and randomicity of chaos,a cluster is initiated to accelerate the search,which is then re-cruited with new chaos sequence according to the concentration calculation and regulation of immune principle,enhancing the cluster diversity to avoid local convergence.Chaos is used again after crossover and mutation in local optimization round the optimal solution to improve its precision.It can find the faulty section fleetly from the misoperations of protection and breaker.Test results show that,the approach can find the optimal solution quickly,guaranteeing the real-time performance and accuracy of fault diagnosis.
【Fund】: 吉林省自然科学基金资助项目(20040539);; 吉林省教育科学基金项目(2005-81)~~
【CateGory Index】: TM711
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