Application of Artificial Fish Swarm Algorithm for Multi -Objective Optimization of Power Flow

碩士 === 國立勤益科技大學 === 電機工程系 === 103 === This thesis is focus on multi-objective optimization of power flow problem. The objective functions are minimization of the total generation cost, the total emission and the loss of transmission line. The proposed hybrid technique combining artificial fish s...

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Bibliographic Details
Main Authors:	Chia-Wei Huang, 黃嘉威
Other Authors:	Tien- Ting Chang
Format:	Others
Language:	zh-TW
Published:	2015
Online Access:	http://ndltd.ncl.edu.tw/handle/78851409199438327563

id	ndltd-TW-103NCIT5442022
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spelling	ndltd-TW-103NCIT54420222016-09-11T04:09:13Z http://ndltd.ncl.edu.tw/handle/78851409199438327563 Application of Artificial Fish Swarm Algorithm for Multi -Objective Optimization of Power Flow 應用人工魚群演算法於最佳化電力潮流 Chia-Wei Huang 黃嘉威碩士國立勤益科技大學電機工程系 103 This thesis is focus on multi-objective optimization of power flow problem. The objective functions are minimization of the total generation cost, the total emission and the loss of transmission line. The proposed hybrid technique combining artificial fish swarm algorithm with simulated annealing method can effectively improve convergence speed and of algorithm find the optimal solution. The proposed method has been employed to IEEE 30-Bus and IEEE 57-Bus systems, the simulation results show of the proposed method can effectively solve the multi-objective optimization of power flow problem. Tien- Ting Chang 張添丁 2015 學位論文 ; thesis 73 zh-TW
collection	NDLTD
language	zh-TW
format	Others
sources	NDLTD
description	碩士 === 國立勤益科技大學 === 電機工程系 === 103 === This thesis is focus on multi-objective optimization of power flow problem. The objective functions are minimization of the total generation cost, the total emission and the loss of transmission line. The proposed hybrid technique combining artificial fish swarm algorithm with simulated annealing method can effectively improve convergence speed and of algorithm find the optimal solution. The proposed method has been employed to IEEE 30-Bus and IEEE 57-Bus systems, the simulation results show of the proposed method can effectively solve the multi-objective optimization of power flow problem.
author2	Tien- Ting Chang
author_facet	Tien- Ting Chang Chia-Wei Huang 黃嘉威
author	Chia-Wei Huang 黃嘉威
spellingShingle	Chia-Wei Huang 黃嘉威 Application of Artificial Fish Swarm Algorithm for Multi -Objective Optimization of Power Flow
author_sort	Chia-Wei Huang
title	Application of Artificial Fish Swarm Algorithm for Multi -Objective Optimization of Power Flow
title_short	Application of Artificial Fish Swarm Algorithm for Multi -Objective Optimization of Power Flow
title_full	Application of Artificial Fish Swarm Algorithm for Multi -Objective Optimization of Power Flow
title_fullStr	Application of Artificial Fish Swarm Algorithm for Multi -Objective Optimization of Power Flow
title_full_unstemmed	Application of Artificial Fish Swarm Algorithm for Multi -Objective Optimization of Power Flow
title_sort	application of artificial fish swarm algorithm for multi -objective optimization of power flow
publishDate	2015
url	http://ndltd.ncl.edu.tw/handle/78851409199438327563
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Application of Artificial Fish Swarm Algorithm for Multi -Objective Optimization of Power Flow

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