Optimal Location Planning of Black-Start Units
碩士 === 國立臺北科技大學 === 電機工程系所 === 93 === The purpose of this thesis is to study the utilization of gas turbine generator unit as black-start unit, and connect this unit to the bus of power transmission system network outside power plants, for supplying power to auxiliary equipment of conventional fossi...
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ndltd-TW-093TIT054420512019-05-29T03:43:29Z http://ndltd.ncl.edu.tw/handle/t2phgc Optimal Location Planning of Black-Start Units 全黑啟動機組最佳位置之規劃 Nai-Chen Lin 林迺呈 碩士 國立臺北科技大學 電機工程系所 93 The purpose of this thesis is to study the utilization of gas turbine generator unit as black-start unit, and connect this unit to the bus of power transmission system network outside power plants, for supplying power to auxiliary equipment of conventional fossil-fueled power generating unit during black-start period. This proposed planning is different from Taipower’s existing system with individual black-start unit at each fossil-fueled power plant; such plan not only reduces quantity of black-start units but also saves the initial investment, operation and maintenance costs of black-start unit. In order to search for optimal location of black-start unit, this thesis applies Genetic Algorithm with merit of random searching to plan the optimal energizing path on power system transmission network during black-start period. Once the optimal location of black-start unit is selected, then it will be simulated by power flow analyzing program to review and verify the derived location and energizing path to avoid over-voltage on transmission line, it will be used as the reference in planning of black-start energizing path. The proposed approach of this thesis is applying systems of IEEE 14-bus, IEEE 30-bus and Taipower transmission system network as examined object, and the outcome indicates that searching for the optimal location of black-start units and the energizing path by applying Genetic Algorithm is feasible. 李清吟 陳昭榮 2005 學位論文 ; thesis 121 zh-TW |
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碩士 === 國立臺北科技大學 === 電機工程系所 === 93 === The purpose of this thesis is to study the utilization of gas turbine generator unit as black-start unit, and connect this unit to the bus of power transmission system network outside power plants, for supplying power to auxiliary equipment of conventional fossil-fueled power generating unit during black-start period. This proposed planning is different from Taipower’s existing system with individual black-start unit at each fossil-fueled power plant; such plan not only reduces quantity of black-start units but also saves the initial investment, operation and maintenance costs of black-start unit.
In order to search for optimal location of black-start unit, this thesis applies Genetic Algorithm with merit of random searching to plan the optimal energizing path on power system transmission network during black-start period. Once the optimal location of black-start unit is selected, then it will be simulated by power flow analyzing program to review and verify the derived location and energizing path to avoid over-voltage on transmission line, it will be used as the reference in planning of black-start energizing path.
The proposed approach of this thesis is applying systems of IEEE 14-bus, IEEE 30-bus and Taipower transmission system network as examined object, and the outcome indicates that searching for the optimal location of black-start units and the energizing path by applying Genetic Algorithm is feasible.
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author2 |
李清吟 |
author_facet |
李清吟 Nai-Chen Lin 林迺呈 |
author |
Nai-Chen Lin 林迺呈 |
spellingShingle |
Nai-Chen Lin 林迺呈 Optimal Location Planning of Black-Start Units |
author_sort |
Nai-Chen Lin |
title |
Optimal Location Planning of Black-Start Units |
title_short |
Optimal Location Planning of Black-Start Units |
title_full |
Optimal Location Planning of Black-Start Units |
title_fullStr |
Optimal Location Planning of Black-Start Units |
title_full_unstemmed |
Optimal Location Planning of Black-Start Units |
title_sort |
optimal location planning of black-start units |
publishDate |
2005 |
url |
http://ndltd.ncl.edu.tw/handle/t2phgc |
work_keys_str_mv |
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