Linear Programming Baesd Optimal Power Flow

碩士 === 國立臺灣海洋大學 === 電機工程學系 === 93 === Abstract Electric deregulation is a trend in the power industry, electric utilites will face more harsh market competition. How to lower costs for improving the performance of management and then to have surpluses to carry on the customer service with holding t...

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Main Authors: Ching-Ming Huang, 黃靖銘
Other Authors: Tai-Ken Lu
Format: Others
Language:zh-TW
Published: 2005
Online Access:http://ndltd.ncl.edu.tw/handle/57513753807643981212
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spelling ndltd-TW-093NTOU54420372016-06-01T04:25:06Z http://ndltd.ncl.edu.tw/handle/57513753807643981212 Linear Programming Baesd Optimal Power Flow 以線性規劃法為基礎之最佳潮流分析 Ching-Ming Huang 黃靖銘 碩士 國立臺灣海洋大學 電機工程學系 93 Abstract Electric deregulation is a trend in the power industry, electric utilites will face more harsh market competition. How to lower costs for improving the performance of management and then to have surpluses to carry on the customer service with holding the market share will be the important issues. In addition, maintaining the market competition fairness is also one of important factors to successiful electrical industry liberalization. Therefore, whether ISO is with the best way of operations does affect the system security as well as the transmission company’s system extension plans for meeting the future system need. In addition, how did the supervisory control organization determine the existing system operation condition and the transmission tariff rationality, it also requires simulation tools to assist a reliable and economical system operation. This main purpose of this thesis is to propose a fast solution methodology of OPF based on linear programming. The integer control variables such as transformer tappings, and the number of capacitor/reactor banks will be decided by using the sensitivity factor and the fuzzy theory to avoid solving the integer programming problem and to accelerate the OPF solution speed. The objective function can be revised due to the system operation or the system planning. Tai-Ken Lu 陸台根 2005 學位論文 ; thesis 75 zh-TW
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description 碩士 === 國立臺灣海洋大學 === 電機工程學系 === 93 === Abstract Electric deregulation is a trend in the power industry, electric utilites will face more harsh market competition. How to lower costs for improving the performance of management and then to have surpluses to carry on the customer service with holding the market share will be the important issues. In addition, maintaining the market competition fairness is also one of important factors to successiful electrical industry liberalization. Therefore, whether ISO is with the best way of operations does affect the system security as well as the transmission company’s system extension plans for meeting the future system need. In addition, how did the supervisory control organization determine the existing system operation condition and the transmission tariff rationality, it also requires simulation tools to assist a reliable and economical system operation. This main purpose of this thesis is to propose a fast solution methodology of OPF based on linear programming. The integer control variables such as transformer tappings, and the number of capacitor/reactor banks will be decided by using the sensitivity factor and the fuzzy theory to avoid solving the integer programming problem and to accelerate the OPF solution speed. The objective function can be revised due to the system operation or the system planning.
author2 Tai-Ken Lu
author_facet Tai-Ken Lu
Ching-Ming Huang
黃靖銘
author Ching-Ming Huang
黃靖銘
spellingShingle Ching-Ming Huang
黃靖銘
Linear Programming Baesd Optimal Power Flow
author_sort Ching-Ming Huang
title Linear Programming Baesd Optimal Power Flow
title_short Linear Programming Baesd Optimal Power Flow
title_full Linear Programming Baesd Optimal Power Flow
title_fullStr Linear Programming Baesd Optimal Power Flow
title_full_unstemmed Linear Programming Baesd Optimal Power Flow
title_sort linear programming baesd optimal power flow
publishDate 2005
url http://ndltd.ncl.edu.tw/handle/57513753807643981212
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