JOURNAL ARTICLE

Real-Time Power Measurement Using the Maximal Overlap Discrete Wavelet-Packet Transform

Abstract

This paper proposes the real-time estimation of the root-mean-square (rms) values, primary power quantities (active, total apparent, nonactive power, and power factor), and distortion power using the maximal overlap wavelet packet transform (MODWPT). The MODWPT provides a uniform frequency band and possesses the time-invariance property, which is ideal for the real-time power estimation. The performance of the proposed wavelet-based power measurement was assessed and compared to the IEEE Standard 1459-2010 in different case studies including stationary synthetic waveforms and power quality disturbances in experimental setup. The proposed method presented good results in the estimation of rms values and primary power quantities by using compact mother wavelets, whereas the estimation of distortion power was better with long mother wavelets.

Keywords:
Wavelet Wavelet packet decomposition Discrete wavelet transform Wavelet transform Mathematics Power (physics) Root mean square Power factor Distortion (music) Computer science Algorithm Telecommunications Artificial intelligence Engineering Electrical engineering Physics Bandwidth (computing)

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Citation History

Topics

Power Quality and Harmonics
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Advanced Electrical Measurement Techniques
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Structural Health Monitoring Techniques
Physical Sciences →  Engineering →  Civil and Structural Engineering
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