Harmonic Distortion Analysis and Improvement for an Integrated Steel Factory

碩士 === 國立中山大學 === 電機工程學系研究所 === 94 === The objective of this thesis is to analyze the power harmonic distortion of a steel factory and to mitigate the distortion by passive filters. The mathematical harmonic model of the industrial power system is built according to the power system network and the...

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Main Authors: Chien-Ming Huang, 黃建銘
Other Authors: Chao-Shun Chen
Format: Others
Language:zh-TW
Published: 2006
Online Access:http://ndltd.ncl.edu.tw/handle/86095418298843521922
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spelling ndltd-TW-094NSYS54420482016-05-27T04:18:58Z http://ndltd.ncl.edu.tw/handle/86095418298843521922 Harmonic Distortion Analysis and Improvement for an Integrated Steel Factory 鋼鐵廠電力諧波失真分析與改善 Chien-Ming Huang 黃建銘 碩士 國立中山大學 電機工程學系研究所 94 The objective of this thesis is to analyze the power harmonic distortion of a steel factory and to mitigate the distortion by passive filters. The mathematical harmonic model of the industrial power system is built according to the power system network and the substation load characteristics of the steel factory. The substation load is converted as equivalent impedance, the harmonic voltage and harmonic current, and the total harmonic distortion of bus voltages and currents are then derived by the harmonic load flow analysis with the actual harmonic current data of the converters, cycloconverters, and VVVF in the plant. Due to the dynamic load behavior the stochastic harmonic current generated by various components is varied with the operation modes of all plants. To investigate the harmonic distortion of the steel factory with statistics oriented manner, the stochastic harmonic load flow analysis is executed to find the 95% confidential interval of system harmonic distortion.By this way, the effectiveness of passive filters for mitigation of harmonic distortion can be evaluated more accurately as compared to the conventional harmonic load flow analysis. Chao-Shun Chen 陳朝順 2006 學位論文 ; thesis 156 zh-TW
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language zh-TW
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description 碩士 === 國立中山大學 === 電機工程學系研究所 === 94 === The objective of this thesis is to analyze the power harmonic distortion of a steel factory and to mitigate the distortion by passive filters. The mathematical harmonic model of the industrial power system is built according to the power system network and the substation load characteristics of the steel factory. The substation load is converted as equivalent impedance, the harmonic voltage and harmonic current, and the total harmonic distortion of bus voltages and currents are then derived by the harmonic load flow analysis with the actual harmonic current data of the converters, cycloconverters, and VVVF in the plant. Due to the dynamic load behavior the stochastic harmonic current generated by various components is varied with the operation modes of all plants. To investigate the harmonic distortion of the steel factory with statistics oriented manner, the stochastic harmonic load flow analysis is executed to find the 95% confidential interval of system harmonic distortion.By this way, the effectiveness of passive filters for mitigation of harmonic distortion can be evaluated more accurately as compared to the conventional harmonic load flow analysis.
author2 Chao-Shun Chen
author_facet Chao-Shun Chen
Chien-Ming Huang
黃建銘
author Chien-Ming Huang
黃建銘
spellingShingle Chien-Ming Huang
黃建銘
Harmonic Distortion Analysis and Improvement for an Integrated Steel Factory
author_sort Chien-Ming Huang
title Harmonic Distortion Analysis and Improvement for an Integrated Steel Factory
title_short Harmonic Distortion Analysis and Improvement for an Integrated Steel Factory
title_full Harmonic Distortion Analysis and Improvement for an Integrated Steel Factory
title_fullStr Harmonic Distortion Analysis and Improvement for an Integrated Steel Factory
title_full_unstemmed Harmonic Distortion Analysis and Improvement for an Integrated Steel Factory
title_sort harmonic distortion analysis and improvement for an integrated steel factory
publishDate 2006
url http://ndltd.ncl.edu.tw/handle/86095418298843521922
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