Application of Wavelets for Study of Harmonic Propagation in Distribution Networks

Stanislav Babaev, Vladimir Cuk, Sjef Cobben

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Abstract

This paper demonstrates the applicability of wavelet transforms in the analysis of harmonic distortion propagation in distribution networks. A laboratory experiment involving actual low-voltage feeder and several non-linear loads is proposed for this study. The method is based on the processing of synchronized current and voltage waveforms captured at multiple points of the power network by distributed measurement system with high accuracy. The harmonic propagation phenomena is studied with different types of wavelet transforms, namely decimated discrete wavelet transforms, wavelet packet transforms and continuous wavelet transforms. Advantages of each of the transforms are explained. Together, they form a coherent analysis algorithm culminating in localization of dominant harmonic source in the distribution grid.

Original languageEnglish
Title of host publication2020 19th International Conference on Harmonics and Quality of Power, ICHQP 2020
PublisherIEEE Computer Society
Number of pages6
ISBN (Electronic)9781728136974
DOIs
Publication statusPublished - Jul 2020
Event19th International Conference on Harmonics and Quality of Power, ICHQP 2020 - Dubai, United Arab Emirates
Duration: 6 Jul 20207 Jul 2020

Conference

Conference19th International Conference on Harmonics and Quality of Power, ICHQP 2020
Country/TerritoryUnited Arab Emirates
CityDubai
Period6/07/207/07/20

Funding

This work has received funding from the European Union’s Horizon 2020 research and innovation programme MEAN4SG under the Marie Skłodowska-Curie grant agreement 676042.

FundersFunder number
Marie Skłodowska‐Curie676042
European Union's Horizon 2020 - Research and Innovation Framework Programme

    Keywords

    • Measurement
    • Power Quality
    • Power system harmonics
    • Wavelet transforms

    Fingerprint

    Dive into the research topics of 'Application of Wavelets for Study of Harmonic Propagation in Distribution Networks'. Together they form a unique fingerprint.

    Cite this