Optimal UPFC Placement Enhancing Power System Security Under N-1 Contingency Condition
碩士 === 國立雲林科技大學 === 電機工程系 === 106 === The thesis presents an improved crow search algorithm (ICSA) to find out the optimal unified power flow controller (UPFC) placement for enhancing power system security under N-1 contingency condition. An UPFC is placed to enhance system security considering line...
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ndltd-TW-106YUNT04410362019-10-26T06:23:22Z http://ndltd.ncl.edu.tw/handle/56hap2 Optimal UPFC Placement Enhancing Power System Security Under N-1 Contingency Condition 在N-1事故情形下最佳化配置UPFC以強化電力系統安全性 Huang, Cai-Wei 黃才維 碩士 國立雲林科技大學 電機工程系 106 The thesis presents an improved crow search algorithm (ICSA) to find out the optimal unified power flow controller (UPFC) placement for enhancing power system security under N-1 contingency condition. An UPFC is placed to enhance system security considering lines overload and bus voltage violations under a transmission line or a generator outage. Before placing an UPFC to system, the power system is performed generators shift factor and line collapse proximity index analyses and selected single transmission line or single generator as a contingency in the tests. Then an improved crow search algorithm is used to find out the optimal UPFC placement under N-1 contingency condition. To verify the effectiveness of ICSA, the tests are performed on IEEE 14-bus and IEEE 30-bus power systems and the results which are power system security and UPFC placement cost are compared with other methods. The results show that the proposed method can effectively find the optimal UPFC placement to enhance power system security. Liang, Ruey-Hsun 梁瑞勳 2018 學位論文 ; thesis 76 zh-TW |
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碩士 === 國立雲林科技大學 === 電機工程系 === 106 === The thesis presents an improved crow search algorithm (ICSA) to find out the optimal unified power flow controller (UPFC) placement for enhancing power system security under N-1 contingency condition. An UPFC is placed to enhance system security considering lines overload and bus voltage violations under a transmission line or a generator outage. Before placing an UPFC to system, the power system is performed generators shift factor and line collapse proximity index analyses and selected single transmission line or single generator as a contingency in the tests. Then an improved crow search algorithm is used to find out the optimal UPFC placement under N-1 contingency condition. To verify the effectiveness of ICSA, the tests are performed on IEEE 14-bus and IEEE 30-bus power systems and the results which are power system security and UPFC placement cost are compared with other methods. The results show that the proposed method can effectively find the optimal UPFC placement to enhance power system security.
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author2 |
Liang, Ruey-Hsun |
author_facet |
Liang, Ruey-Hsun Huang, Cai-Wei 黃才維 |
author |
Huang, Cai-Wei 黃才維 |
spellingShingle |
Huang, Cai-Wei 黃才維 Optimal UPFC Placement Enhancing Power System Security Under N-1 Contingency Condition |
author_sort |
Huang, Cai-Wei |
title |
Optimal UPFC Placement Enhancing Power System Security Under N-1 Contingency Condition |
title_short |
Optimal UPFC Placement Enhancing Power System Security Under N-1 Contingency Condition |
title_full |
Optimal UPFC Placement Enhancing Power System Security Under N-1 Contingency Condition |
title_fullStr |
Optimal UPFC Placement Enhancing Power System Security Under N-1 Contingency Condition |
title_full_unstemmed |
Optimal UPFC Placement Enhancing Power System Security Under N-1 Contingency Condition |
title_sort |
optimal upfc placement enhancing power system security under n-1 contingency condition |
publishDate |
2018 |
url |
http://ndltd.ncl.edu.tw/handle/56hap2 |
work_keys_str_mv |
AT huangcaiwei optimalupfcplacementenhancingpowersystemsecurityundern1contingencycondition AT huángcáiwéi optimalupfcplacementenhancingpowersystemsecurityundern1contingencycondition AT huangcaiwei zàin1shìgùqíngxíngxiàzuìjiāhuàpèizhìupfcyǐqiánghuàdiànlìxìtǒngānquánxìng AT huángcáiwéi zàin1shìgùqíngxíngxiàzuìjiāhuàpèizhìupfcyǐqiánghuàdiànlìxìtǒngānquánxìng |
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1719278201990021120 |