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

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.

Identiferoai:union.ndltd.org:TW/103NCIT5442022
Date January 2015
CreatorsChia-Wei Huang, 黃嘉威
ContributorsTien- Ting Chang, 張添丁
Source SetsNational Digital Library of Theses and Dissertations in Taiwan
Languagezh-TW
Detected LanguageEnglish
Type學位論文 ; thesis
Format73

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