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《Power System Technology》 2008-09
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A Quantum Neural Network Based Fault Diagnosis Algorithm for Power Grid

LIU Chao,HE Zheng-you,YANG Jian-wei(School of Electrical Engineering,Southwest Jiaotong University,Chengdu 610031,Sichuan Province,China)  
When traditional artificial intelligence approaches are used to recognize the cross data pattern in the power grid fault diagnosis, its result is not ideal. For this reason, the authors propose a new fault diagnosis algorithm in which the conception of quantum neural network is adopted. In the proposed algorithm, the connection weights of neurons of various layers as well as the quantum intervals of neurons in hidden layers are constantly updated to attain the expected purpose of improve the fault toleration in power grid fault diagnosis. Simulation results show that under the condition of incomplete protection action information the accuracy of fault recognition by the proposed algorithm is better than those by traditional neural network methods. Otherwise, the proposed algorithm can also recognize such fault information in which certain incorrect data exists..
【Fund】: 教育部优秀新世纪人才支持计划项目(NCET-06-0799);; 四川省杰出青年基金项目(06ZQ026-012)~~
【CateGory Index】: TM744
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