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Adaptive Frequency Estimation Using Iterative DESA with RDFT-Based Filter

Bansal, Sahil and Ghosh, Anindita and Seelamantula, Chandra Sekhar and Gurrala, Gurunath and Ghosh, Prasanta Kumar (2017) Adaptive Frequency Estimation Using Iterative DESA with RDFT-Based Filter. In: IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC), NOV 08-10, 2017, Bangalore, INDIA.

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Official URL: http://dx.doi.org/10.1109/APPEEC.2017.8308990

Abstract

This paper proposes a new approach for estimating fundamental frequency of grid signals. The approach is based on a discrete-time energy separation algorithm (DESA) combined with an adaptive bandpass filter (BPF). The BPF is built using a discrete Fourier transform (DFT) and inverse DFT both used recursively. The technique is computationally efficient and robust to the harmonics and noise in the signal. The method's performance is validated by comparing the results with some existing algorithms.

Item Type: Conference Paper
Additional Information: Copy right for this article belong to IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA
Department/Centre: Division of Electrical Sciences > Electrical Engineering
Depositing User: Id for Latest eprints
Date Deposited: 18 Apr 2018 18:23
Last Modified: 18 Apr 2018 18:23
URI: http://eprints.iisc.ac.in/id/eprint/59625

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