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Energies 2015, 8(9), 9282-9295; doi:10.3390/en8099282

A Two-Stage Algorithm to Estimate the Fundamental Frequency of Asynchronously Sampled Signals in Power Systems

1
Department of Electrical Engineering, Myongji University, Yongin 449-728, Korea
2
Industrial Physical Instrument Center, Korea Testing Laboratory, Ansan 426-901, Korea
*
Author to whom correspondence should be addressed.
Academic Editor: Ying-Yi Hong
Received: 9 July 2015 / Revised: 19 August 2015 / Accepted: 21 August 2015 / Published: 28 August 2015
(This article belongs to the Special Issue Electric Power Systems Research)
View Full-Text   |   Download PDF [499 KB, uploaded 28 August 2015]   |  

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. View Full-Text
Keywords: fundamental frequency estimation; two-stage algorithm; time-domain interpolation; tuned sine filter; modified curve fitting fundamental frequency estimation; two-stage algorithm; time-domain interpolation; tuned sine filter; modified curve fitting
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Moon, J.-H.; Kang, S.-H.; Ryu, D.-H.; Chang, J.-L.; Nam, S.-R. A Two-Stage Algorithm to Estimate the Fundamental Frequency of Asynchronously Sampled Signals in Power Systems. Energies 2015, 8, 9282-9295.

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