Development of stochastic aggregate harmonic load model based on field measurements

The stochastic simulation approach in analyzing harmonic propagation in the distribution network requires an adequate stochastic/probabilistic aggregate harmonic load model. The interaction of individual linear and harmonic loads that form aggregate load characteristic harmonic current spectra is us...

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Main Authors: Au M.T., Milanovi? J.V.
Other Authors: 9742020600
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Published: 2023
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spelling my.uniten.dspace-297902023-12-28T16:57:41Z Development of stochastic aggregate harmonic load model based on field measurements Au M.T. Milanovi? J.V. 9742020600 35508147600 Aggregate harmonic load model Distribution network Harmonic field measurements Harmonic load composition Stochastic Electric currents Electric load management Electric loads Harmonic generation Stochastic models Aggregate harmonic loads Harmonic field measurements Harmonic load composition Electric power distribution The stochastic simulation approach in analyzing harmonic propagation in the distribution network requires an adequate stochastic/probabilistic aggregate harmonic load model. The interaction of individual linear and harmonic loads that form aggregate load characteristic harmonic current spectra is usually very complex and, therefore, it is difficult to establish a model based on theoretical analysis. This paper presents a methodology in developing a stochastic/probabilistic aggregate harmonic load model based on field measurements. The model is a current injection model characterized by means and variances associated with net harmonic current spectra produced by aggregate harmonic loads, and a range of aggregate harmonic load power participation (fraction) into total demand, suitable for application in stochastic harmonic propagation studies in distribution networks. � 2006 IEEE. Final 2023-12-28T08:57:41Z 2023-12-28T08:57:41Z 2007 Article 10.1109/TPWRD.2006.881455 2-s2.0-34147181077 https://www.scopus.com/inward/record.uri?eid=2-s2.0-34147181077&doi=10.1109%2fTPWRD.2006.881455&partnerID=40&md5=0d9c28f4be4ca90bd18360bc61a91677 https://irepository.uniten.edu.my/handle/123456789/29790 22 1 323 330 Scopus
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
topic Aggregate harmonic load model
Distribution network
Harmonic field measurements
Harmonic load composition
Stochastic
Electric currents
Electric load management
Electric loads
Harmonic generation
Stochastic models
Aggregate harmonic loads
Harmonic field measurements
Harmonic load composition
Electric power distribution
spellingShingle Aggregate harmonic load model
Distribution network
Harmonic field measurements
Harmonic load composition
Stochastic
Electric currents
Electric load management
Electric loads
Harmonic generation
Stochastic models
Aggregate harmonic loads
Harmonic field measurements
Harmonic load composition
Electric power distribution
Au M.T.
Milanovi? J.V.
Development of stochastic aggregate harmonic load model based on field measurements
description The stochastic simulation approach in analyzing harmonic propagation in the distribution network requires an adequate stochastic/probabilistic aggregate harmonic load model. The interaction of individual linear and harmonic loads that form aggregate load characteristic harmonic current spectra is usually very complex and, therefore, it is difficult to establish a model based on theoretical analysis. This paper presents a methodology in developing a stochastic/probabilistic aggregate harmonic load model based on field measurements. The model is a current injection model characterized by means and variances associated with net harmonic current spectra produced by aggregate harmonic loads, and a range of aggregate harmonic load power participation (fraction) into total demand, suitable for application in stochastic harmonic propagation studies in distribution networks. � 2006 IEEE.
author2 9742020600
author_facet 9742020600
Au M.T.
Milanovi? J.V.
format Article
author Au M.T.
Milanovi? J.V.
author_sort Au M.T.
title Development of stochastic aggregate harmonic load model based on field measurements
title_short Development of stochastic aggregate harmonic load model based on field measurements
title_full Development of stochastic aggregate harmonic load model based on field measurements
title_fullStr Development of stochastic aggregate harmonic load model based on field measurements
title_full_unstemmed Development of stochastic aggregate harmonic load model based on field measurements
title_sort development of stochastic aggregate harmonic load model based on field measurements
publishDate 2023
_version_ 1806423465491693568
score 13.222552