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《Electrical Measurement & Instrumentation》 2012-06
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Interharmonics Estimation Based on Root-MUSIC and SVM Algorithm

LI Xin1,LIU Jie1,CHEN Wen-li2(1.State Key Laboratory of Power Transmission Equipment & System Security and NewTechnology,Chongqing University,Chongqing 400044,China.2.Chongqing Electric Power Research Institute,Chongqing 401123,China.)  
In order to accurately detect the parameters of the interharmonics in power system,an algorithm based on root-multiple signal classification(Root-MUSIC) and support vector machine(SVM) is proposed.First,eigenvalue decomposition is used for the autocorrelation of matrix constructed by sampling data,and the numbers and frequencies of the interharmonics are obtained using the orthogonality between signal subspace and noise subspace;then SVM is used to estimate the amplitudes and phases of the interharmonics.Matlab simulation results show the accuracy of this algorithm for frequency estimation in the condition of low SNR.Benefiting from SVM in processing small sample data,the accuracy of amplitudes and phases estimating is improved effectively.
【CateGory Index】: TM935
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