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Energies 2015, 8(1), 79-93; doi:10.3390/en8010079

Real-Time Estimation of Power System Frequency Using a Three-Level Discrete Fourier Transform Method

Department of Electrical Engineering, Myongji University, Yongin 449-728, Korea
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Author to whom correspondence should be addressed.
Academic Editor: Chris Bingham
Received: 21 October 2014 / Accepted: 17 December 2014 / Published: 24 December 2014
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Abstract

This paper proposes a three-level discrete Fourier transform (DFT) method to provide an accurate estimate of power system frequency in real time. The first level decomposes a power system signal into two orthogonal cosine- and sine-filtered signals. The second and third levels are used to determine the amplitude ratio of the cosine- and sine-filtered signals without encountering the zero-crossing problem and with an increase in ability to suppress harmonics and inter-harmonics. The performance of the three-level DFT method is evaluated using computer-simulated signals with harmonics and inter-harmonics. The three-level DFT method is also implemented on a digital signal processor (DSP)-based hardware prototype, and its performance in the hardware implementation is evaluated using a real-time digital simulator (RTDS). The evaluation results show that the three-level DFT method can achieve real-time estimation of power system frequency with satisfactory performance. View Full-Text
Keywords: amplitude ratio; power system frequency; hardware implementation; real-time estimation; three-level discrete Fourier transform; zero-crossing problem amplitude ratio; power system frequency; hardware implementation; real-time estimation; three-level discrete Fourier transform; zero-crossing problem
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

Nam, S.-R.; Kang, S.-H.; Kang, S.-H. Real-Time Estimation of Power System Frequency Using a Three-Level Discrete Fourier Transform Method. Energies 2015, 8, 79-93.

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