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https://dspace.iiti.ac.in/handle/123456789/5243
Title: | DSP implementation of the empirical wavelet transform for measurement of power quality indices |
Authors: | Umarikar, Amod C. Jain, Trapti |
Keywords: | Digital arithmetic;Digital signal processors;Frequency estimation;Hardware;IEEE Standards;Power quality;Wavelet transforms;Digital Signal Processor (DSP);Empirical wavelet transform (EWT);Frequency components;Fundamental component;Fundamental frequencies;Hardware implementations;IEEE Standard 1459-2000;Power quality indices;Digital signal processing |
Issue Date: | 2018 |
Publisher: | Institute of Electrical and Electronics Engineers Inc. |
Citation: | Thirumala, K., Umarikar, A. C., & Jain, T. (2018). DSP implementation of the empirical wavelet transform for measurement of power quality indices. Paper presented at the 2017 7th International Conference on Power Systems, ICPS 2017, 665-670. doi:10.1109/ICPES.2017.8387375 |
Abstract: | The hardware implementation of Empirical Wavelet Transform (EWT) for the estimation of the IEEE Standard 1459-2000 definitions is presented in this paper. The estimation of single-phase power quality indices (PQIs) using the EWT technique is implemented on a floating point digital signal processor TMS320F28377S. The EWT decomposes the signal into its frequency components adaptively; however, the estimation of PQIs require only the fundamental and non-fundamental components. Therefore, the algorithm aims to extract only the fundamental frequency component accurately by designing an adaptive wavelet filter. The accuracy and practicality of the EWT-based PQIs measurement have been verified by testing on practical signals acquired in the laboratory. Experimental results of the DSP-based PQIs are compared with the results obtained from MATLAB in terms of computational time as well as accuracy. © 2017 IEEE. |
URI: | https://doi.org/10.1109/ICPES.2017.8387375 https://dspace.iiti.ac.in/handle/123456789/5243 |
ISBN: | 9781538617892 |
Type of Material: | Conference Paper |
Appears in Collections: | Department of Electrical Engineering |
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