Study on Optimal Phase Arrangement of Distribution Network Considering Distributed Energy Resources

碩士 === 國立彰化師範大學 === 工業教育與技術學系 === 103 === The main purpose of this thesis is to establish a multi-object function for the optimal phase arrangement of distributed energy resources and loads in an active distribution network. It can be reduced the three-phase voltage unbalance ratio, system power los...

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Main Authors: Chih-Hui Lo, 羅至暉
Other Authors: Wei-Tzer Huang
Format: Others
Language:zh-TW
Online Access:http://ndltd.ncl.edu.tw/handle/76336397276203497312
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spelling ndltd-TW-103NCUE50370452016-07-31T04:22:37Z http://ndltd.ncl.edu.tw/handle/76336397276203497312 Study on Optimal Phase Arrangement of Distribution Network Considering Distributed Energy Resources 含分散式資源之配電網最佳相位配置研究 Chih-Hui Lo 羅至暉 碩士 國立彰化師範大學 工業教育與技術學系 103 The main purpose of this thesis is to establish a multi-object function for the optimal phase arrangement of distributed energy resources and loads in an active distribution network. It can be reduced the three-phase voltage unbalance ratio, system power loss and voltage variations, and furthermore the system operation efficiency will be improved. Therefore, this thesis using COM Engine dynamic link technique to combined two software, Matlab and OpenDSS, to solve the optimal phase arrangement problem. The optimal searching algorithm was coded in Matlab, and the system modeling was established in OpenDSS according to system topology. Finally, the IEEE 13-Bus and IEEE 37-Bus testing system were used as the sample systems to verify the accuracy of the proposed approach. The simulation results demonstrated that the proposed approach is systematic and efficient for solving the optimal phase arrangement in active distribution networks. The outcomes are also helpful for the distributed energy resources interconnected into distribution networks for improving the system performance. Wei-Tzer Huang 黃維澤 學位論文 ; thesis 124 zh-TW
collection NDLTD
language zh-TW
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description 碩士 === 國立彰化師範大學 === 工業教育與技術學系 === 103 === The main purpose of this thesis is to establish a multi-object function for the optimal phase arrangement of distributed energy resources and loads in an active distribution network. It can be reduced the three-phase voltage unbalance ratio, system power loss and voltage variations, and furthermore the system operation efficiency will be improved. Therefore, this thesis using COM Engine dynamic link technique to combined two software, Matlab and OpenDSS, to solve the optimal phase arrangement problem. The optimal searching algorithm was coded in Matlab, and the system modeling was established in OpenDSS according to system topology. Finally, the IEEE 13-Bus and IEEE 37-Bus testing system were used as the sample systems to verify the accuracy of the proposed approach. The simulation results demonstrated that the proposed approach is systematic and efficient for solving the optimal phase arrangement in active distribution networks. The outcomes are also helpful for the distributed energy resources interconnected into distribution networks for improving the system performance.
author2 Wei-Tzer Huang
author_facet Wei-Tzer Huang
Chih-Hui Lo
羅至暉
author Chih-Hui Lo
羅至暉
spellingShingle Chih-Hui Lo
羅至暉
Study on Optimal Phase Arrangement of Distribution Network Considering Distributed Energy Resources
author_sort Chih-Hui Lo
title Study on Optimal Phase Arrangement of Distribution Network Considering Distributed Energy Resources
title_short Study on Optimal Phase Arrangement of Distribution Network Considering Distributed Energy Resources
title_full Study on Optimal Phase Arrangement of Distribution Network Considering Distributed Energy Resources
title_fullStr Study on Optimal Phase Arrangement of Distribution Network Considering Distributed Energy Resources
title_full_unstemmed Study on Optimal Phase Arrangement of Distribution Network Considering Distributed Energy Resources
title_sort study on optimal phase arrangement of distribution network considering distributed energy resources
url http://ndltd.ncl.edu.tw/handle/76336397276203497312
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