Stochastic assessment of harmonic distortion level of medium voltage radial distribution network

This paper presents a stochastic assessment of total harmonic voltage distortion (THDv) level of radial medium voltage distribution network using Monte Carlo simulation based on probabilistic harmonic current spectra of typical aggregate load types obtained from harmonic field measurements as inputs...

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Main Authors: Au M.T., Milanovi? J.V.
Other Authors: 9742020600
Format: Conference paper
Published: 2023
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Institution: Universiti Tenaga Nasional
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spelling my.uniten.dspace-298532023-12-28T16:57:57Z Stochastic assessment of harmonic distortion level of medium voltage radial distribution network Au M.T. Milanovi? J.V. 9742020600 35508147600 Distribution network Harmonic Monte Carlo Stochastic Distributed parameter networks Distribution of goods Electric power systems Electric power transmission networks Power transmission Probability Stochastic programming Applied (CO) Harmonic distortion level harmonic voltages international conferences Medium voltage (MV) power systems Probabilistic methods Radial distribution networks Stochastic assessment Probability distributions This paper presents a stochastic assessment of total harmonic voltage distortion (THDv) level of radial medium voltage distribution network using Monte Carlo simulation based on probabilistic harmonic current spectra of typical aggregate load types obtained from harmonic field measurements as inputs. High and low power demand periods of aggregate loads at each network bus are incorporated into the Monte Carlo simulation to account for the influence of power demand on harmonic voltage distortion, which then associate the respective THDv probability distribution curves to specific times of day. Simulation of a case example shows promising and realistic results. � Copyright KTH 2006. Final 2023-12-28T08:57:57Z 2023-12-28T08:57:57Z 2006 Conference paper 10.1109/PMAPS.2006.360212 2-s2.0-46149104991 https://www.scopus.com/inward/record.uri?eid=2-s2.0-46149104991&doi=10.1109%2fPMAPS.2006.360212&partnerID=40&md5=af15aac54f225a1872c48b6978d94db6 https://irepository.uniten.edu.my/handle/123456789/29853 4202224 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 Distribution network
Harmonic
Monte Carlo
Stochastic
Distributed parameter networks
Distribution of goods
Electric power systems
Electric power transmission networks
Power transmission
Probability
Stochastic programming
Applied (CO)
Harmonic distortion level
harmonic voltages
international conferences
Medium voltage (MV)
power systems
Probabilistic methods
Radial distribution networks
Stochastic assessment
Probability distributions
spellingShingle Distribution network
Harmonic
Monte Carlo
Stochastic
Distributed parameter networks
Distribution of goods
Electric power systems
Electric power transmission networks
Power transmission
Probability
Stochastic programming
Applied (CO)
Harmonic distortion level
harmonic voltages
international conferences
Medium voltage (MV)
power systems
Probabilistic methods
Radial distribution networks
Stochastic assessment
Probability distributions
Au M.T.
Milanovi? J.V.
Stochastic assessment of harmonic distortion level of medium voltage radial distribution network
description This paper presents a stochastic assessment of total harmonic voltage distortion (THDv) level of radial medium voltage distribution network using Monte Carlo simulation based on probabilistic harmonic current spectra of typical aggregate load types obtained from harmonic field measurements as inputs. High and low power demand periods of aggregate loads at each network bus are incorporated into the Monte Carlo simulation to account for the influence of power demand on harmonic voltage distortion, which then associate the respective THDv probability distribution curves to specific times of day. Simulation of a case example shows promising and realistic results. � Copyright KTH 2006.
author2 9742020600
author_facet 9742020600
Au M.T.
Milanovi? J.V.
format Conference paper
author Au M.T.
Milanovi? J.V.
author_sort Au M.T.
title Stochastic assessment of harmonic distortion level of medium voltage radial distribution network
title_short Stochastic assessment of harmonic distortion level of medium voltage radial distribution network
title_full Stochastic assessment of harmonic distortion level of medium voltage radial distribution network
title_fullStr Stochastic assessment of harmonic distortion level of medium voltage radial distribution network
title_full_unstemmed Stochastic assessment of harmonic distortion level of medium voltage radial distribution network
title_sort stochastic assessment of harmonic distortion level of medium voltage radial distribution network
publishDate 2023
_version_ 1806428103377944576