Main Transformer Installation Planning for Mass Rapid Transit Power Systems
碩士 === 國立高雄應用科技大學 === 電機工程系碩士班 === 91 === This thesis presents a Petri Net(PN) model to deal with the main-transformer installation planning for MRT power systems according to the MRT load growth of year. The proposed model is divided into three phases: selection of the loading of year, the determin...
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ndltd-TW-091KUAS04420162015-10-13T17:01:35Z http://ndltd.ncl.edu.tw/handle/96429994170780538224 Main Transformer Installation Planning for Mass Rapid Transit Power Systems 大眾捷運供電系統主變壓器設置規劃 Chih-Liang Wu 吳志良 碩士 國立高雄應用科技大學 電機工程系碩士班 91 This thesis presents a Petri Net(PN) model to deal with the main-transformer installation planning for MRT power systems according to the MRT load growth of year. The proposed model is divided into three phases: selection of the loading of year, the determination of supplying transformers, and the determination of the backup transformer. To improve the operation reliability, the extra capacity of ten percent of the current loading and one extra unit of main-transformer are considered in the planning. Also, two installation schemes- disperse scheme and centralize scheme are proposed in this thesis to minimize the switching operation in case of contingencies. By the proposed PN inference network, the time of year, the number of transformer units, and the bulk supply substations to install the main transformers are determined simultaneously. Computer simulations coded by object-oriented language C++ are implemented for the Taipei MRT power system involving twelve substations. The simulation results are verified by load flow analysis for normal cases and some contingencies. Jaw-Shyang Wu 吳兆祥 2003 學位論文 ; thesis 100 zh-TW |
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碩士 === 國立高雄應用科技大學 === 電機工程系碩士班 === 91 === This thesis presents a Petri Net(PN) model to deal with the main-transformer installation planning for MRT power systems according to the MRT load growth of year. The proposed model is divided into three phases: selection of the loading of year, the determination of supplying transformers, and the determination of the backup transformer. To improve the operation reliability, the extra capacity of ten percent of the current loading and one extra unit of main-transformer are considered in the planning. Also, two installation schemes- disperse scheme and centralize scheme are proposed in this thesis to minimize the switching operation in case of contingencies.
By the proposed PN inference network, the time of year, the number of transformer units, and the bulk supply substations to install the main transformers are determined simultaneously. Computer simulations coded by object-oriented language C++ are implemented for the Taipei MRT power system involving twelve substations. The simulation results are verified by load flow analysis for normal cases and some contingencies.
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author2 |
Jaw-Shyang Wu |
author_facet |
Jaw-Shyang Wu Chih-Liang Wu 吳志良 |
author |
Chih-Liang Wu 吳志良 |
spellingShingle |
Chih-Liang Wu 吳志良 Main Transformer Installation Planning for Mass Rapid Transit Power Systems |
author_sort |
Chih-Liang Wu |
title |
Main Transformer Installation Planning for Mass Rapid Transit Power Systems |
title_short |
Main Transformer Installation Planning for Mass Rapid Transit Power Systems |
title_full |
Main Transformer Installation Planning for Mass Rapid Transit Power Systems |
title_fullStr |
Main Transformer Installation Planning for Mass Rapid Transit Power Systems |
title_full_unstemmed |
Main Transformer Installation Planning for Mass Rapid Transit Power Systems |
title_sort |
main transformer installation planning for mass rapid transit power systems |
publishDate |
2003 |
url |
http://ndltd.ncl.edu.tw/handle/96429994170780538224 |
work_keys_str_mv |
AT chihliangwu maintransformerinstallationplanningformassrapidtransitpowersystems AT wúzhìliáng maintransformerinstallationplanningformassrapidtransitpowersystems AT chihliangwu dàzhòngjiéyùngōngdiànxìtǒngzhǔbiànyāqìshèzhìguīhuà AT wúzhìliáng dàzhòngjiéyùngōngdiànxìtǒngzhǔbiànyāqìshèzhìguīhuà |
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1717778572266962944 |