Robust Estimation and Tracking of Power System Harmonics Using an Optimal Finite Impulse Response Filter

Bo-kyu Kwon, Soohee Han and Kwang Y. Lee
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Bo-kyu Kwon: Department of Control and Instrumentation Engineering, Kangwon National University, Gangwon-do 24341, Korea
Soohee Han: Department of Creative IT Engineering, Pohang University of Science and Technology (POSTECH), Pohang, Gyeongbuk 37673, Korea
Kwang Y. Lee: Department of Electrical and Computer Engineering, Baylor University, Waco, TX 76798, USA

Energies, 2018, vol. 11, issue 7, 1-15

Abstract: In this paper, a robust estimation method for estimating the power system harmonics is proposed by using the optimal finite impulse response (FIR) filter. The optimal FIR filter is applied to the state space representation of the noisy current or voltage signal and estimates the magnitude and phase-angle of the harmonic components. Due to the FIR structure, the FIR filter is more robust against model uncertainty than the Kalman filter. Hence, the FIR filter-based method will give a more robust solution for the power system harmonic estimation than the previous Kalman filter-based approaches. The performance and robustness of the proposed method are verified through simulation. Moreover, the proposed method is employed in the power conditioning system to estimate the harmonic components and total harmonic distortions.

Keywords: robust harmonics estimation; power system harmonics; optimal FIR filter; power conditioning system; total harmonic distortions (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2018
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