2006Unpublished venueRequires access

Measuring harmonics by an improved FFT-based algorithm with considering frequency variations

G. W. Chang, Cheng‐Yi Chen, Meng-Chi Wu

Open publisher page 7 citations

Abstract

Fast Fourier transform (FFT) is widely used for the signal processing because of its computational efficiency. Most power quality meters and digital relays adopt FFT-based algorithm to characterize harmonics of the measured signals. A typical FFT-based algorithm may lead to inaccurate results, if the system frequency varies. This paper proposes an improved FFT-based algorithm for measuring harmonics. The performance of the proposed algorithm is then validated by testing the simulated and actual measured signals. Results are compared with those obtained by the conventional FFT algorithm and by a power quality meter. It shows that the proposed algorithm is computational efficient and the solution accuracy is maintained

About this research paper

What this paper is about

Fast Fourier transform (FFT) is widely used for the signal processing because of its computational efficiency. Most power quality meters and digital relays adopt FFT-based algorithm to characterize harmonics of the measured signals. A typical FFT-based algorithm may lead to inaccurate results, if the system frequency varies. This paper proposes an improved FFT-based algorithm for measuring harmonics. The performance of the proposed algorithm is then validated by testing the simulated and actual measured signals. Results are compared with those obtained by the conventional FFT algorithm and by a power quality meter. It shows that the proposed algorithm is computational efficient and the solution accuracy is maintained

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OpenAlex reports 7 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

Fast Fourier transform (FFT) is widely used for the signal processing because of its computational efficiency. Most power quality meters and digital relays adopt FFT-based algorithm to characterize harmonics of the measured signals. A typical FFT-based algorithm may lead to inaccurate results, if the system frequency varies. This paper proposes an improved FFT-based algorithm for measuring harmonics. The performance of the proposed algorithm is then validated by testing the simulated and actual measured signals. Results are compared with those obtained by the conventional FFT algorithm and by a power quality meter. It shows that the proposed algorithm is computational efficient and the solution accuracy is maintained

Key concepts: Fast Fourier transform, Harmonics, Computer science, Split-radix FFT algorithm, Prime-factor FFT algorithm, Algorithm, Power (physics), Signal processing

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