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Method Based on Sparse Signal Decomposition for Harmonic and Inter-harmonic Analysis of Power System

  • Chen, Lei (Dept. of Electrical and information Engineering, Northeast Petroleum University) ;
  • Zheng, Dezhong (School of Electrical Engineering, Yanshan University) ;
  • Chen, Shuang (School of Math and Information Technology, Hebei Normal University of Science and Technology) ;
  • Han, Baoru (Hainan Software Profession Institute)
  • Received : 2016.07.08
  • Accepted : 2016.12.24
  • Published : 2017.03.01

Abstract

Harmonic/inter-harmonic detection and analysis is an important issue in power system signal processing. This paper proposes a fast algorithm based on matching pursuit (MP) sparse signal decomposition, which can be employed to extract the harmonic or inter-harmonic components of a distorted electric voltage/current signal. In the MP iterations, the method extracts harmonic/inter-harmonic components in order according to the spectrum peak. The Fast Fourier Transform (FFT) and nonlinear optimization techniques are used in the decomposition to realize fast and accurate estimation of the parameters. First, the frequency estimation value corresponding to the maxim spectrum peak in the present residual is obtained, and the phase corresponding to this frequency is searched in discrete sinusoids dictionary. Then the frequency and phase estimations are taken as initial values of the unknown parameters for Nelder-Mead to acquire the optimized parameters. Finally, the duration time of the disturbance is determined by comparing the inner products, and the amplitude is achieved according to the matching expression of the harmonic or inter-harmonic. Simulations and actual signal tests are performed to illustrate the effectiveness and feasibility of the proposed method.

Keywords

Matching pursuit algorithm;Harmonic;Inter-harmonic;Sinusoids dictionary;Fast Fourier Transform (FFT);Sparse decomposition;Optimal computation

Acknowledgement

Supported by : Natural Science Foundation of Hainan Province

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