Harmonic Frequency Estimation Based on Modified-MUSIC Algorithm in Power System

نویسندگان

  • Xiangwen Sun
  • Ligong Sun
چکیده

Abstract: This paper presents a new harmonics frequency estimation method. Unlike the conventional harmonic frequency estimation method (fast Fourier transform), the new algorithm is based on spectrum analysis techniques often used to estimate the direction of angle; the most popular is the multiple signal classification (MUSIC) algorithm. The drawbacks of MUSIC algorithm are concluded. Improved-MUSIC approximation algorithm is introduced and compared with FFT based on algorithm for harmonic frequency estimation. Theoretical analysis and simulations show this algorithm is a super-resolution algorithm with small data length.

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تاریخ انتشار 2015