Linear Support Vector Machine Based Inter-harmonic Modeling and Parameter Estimation

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There are often many inter-harmonics in power system.The high measurement accuracy of inter-harmonics order, amplitude and initial phase is needed. A new approach is presented for inter-harmonic modeling and parameter estimation based on linear support vector machine (SVM).Firstly, parameter estimation of linear model is realized based on standard linear SVM. Then, interharmonic model is transformed to a linear model according to trigonometric functions.The approach obtains order of inter-harmonic model with windowed Blackman-Tukey (BT)spectrum analysis, and gets number and frequency of harmonics.Finally, the linear SVM is applied to estimate the inter-harmonic parameters, amplitude and initial phase.The simulation results show that the proposed approach has high precision and good antinoise.The accuracy of three parameters are all higher than 98%.
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