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http://dx.doi.org/10.14801/jkiit.2018.16.11.97

Harmonic Estimation of Power Signal Based on Time-varying Optimal Finite Impulse Response Filter  

Kwon, Bo-Kyu (Dept. of Electric, Control & Instrumentation Engineering)
Publication Information
The Journal of Korean Institute of Information Technology / v.16, no.11, 2018 , pp. 97-103 More about this Journal
Abstract
In this paper, the estimation method for the power signal harmonics is proposed by using the time-varying optimal finite impulse response (FIR) filter. To estimate the magnitude and phase-angle of the harmonic components, the time-varying optimal FIR filter is designed for the state space representation of the noisy power signal which the magnitude and phase is considered as a stochastic process. Since the time-varying optimal FIR filter used in the proposed method does not use any priori information of the initial condition and has FIR structure, the proposed method could overcome the demerits of Kalman filter based method such as poor estimation and divergence problem. Due to the FIR structure, the proposed method is more robust against to the model uncertainty than the Kalman filter. Moreover, the proposed method gives more general solution than the time-invariant optimal FIR filter based harmonic estimation method. To verify the performance and robustness of the proposed method, the proposed method is compared with time-varying Kalman filter based method through simulation.
Keywords
harmonic estimation; frequency domain analysis; finite impulse response; power signal;
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