A Two-Stage Algorithm to Estimate the Fundamental Frequency of Asynchronously Sampled Signals in Power Systems
Joon-Hyuck Moon,
Sang-Hee Kang,
Dong-Hun Ryu,
Jae-Lim Chang and
Soon-Ryul Nam
Additional contact information
Joon-Hyuck Moon: Department of Electrical Engineering, Myongji University, Yongin 449-728, Korea
Sang-Hee Kang: Department of Electrical Engineering, Myongji University, Yongin 449-728, Korea
Dong-Hun Ryu: Industrial Physical Instrument Center, Korea Testing Laboratory, Ansan 426-901, Korea
Jae-Lim Chang: Industrial Physical Instrument Center, Korea Testing Laboratory, Ansan 426-901, Korea
Soon-Ryul Nam: Department of Electrical Engineering, Myongji University, Yongin 449-728, Korea
Energies, 2015, vol. 8, issue 9, 1-14
Abstract:
A two-stage algorithm is proposed for the estimation of the fundamental frequency of asynchronously sampled signals in power systems. In the first stage, time-domain interpolation reconstructs the power system signal at a new sampling time and the reconstructed signal passes through a tuned sine filter to eliminate harmonics. In the second stage, the fundamental frequency is estimated using a modified curve fitting, which is robust to noise. The evaluation results confirm the efficiency and validity of the two-stage algorithm for accurate estimation of the fundamental frequency even for asynchronously sampled signals contaminated with noise, harmonics, and an inter-harmonic component.
Keywords: fundamental frequency estimation; two-stage algorithm; time-domain interpolation; tuned sine filter; modified curve fitting (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: 2015
References: View complete reference list from CitEc
Citations: View citations in EconPapers (3)
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