Optimal capacitor placement in distribution systems using a combination fuzzy-GA method

機構典藏 > College of Engineering > Graduate Institute & Department of Electrical Engineering > Journal Article > Item 987654321/46309

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Title:	Optimal capacitor placement in distribution systems using a combination fuzzy-GA method
Authors:	Hsiao, Ying-tung;Chen, Chia-hong;Chien, Cheng-chih
Contributors:	淡江大學電機工程學系
Keywords:	Capacitor placement;Genetic algorithms;Fuzzy satisfying method;Multi-objective optimization
Date:	2004-02-19
Issue Date:	2010-03-26 21:59:12 (UTC+8)
Publisher:	Institute of Electrical and Electronics Engineers (IEEE)
Abstract:	This work presents a combination fuzzy-GA method to resolve the capacitor placement problem. The problem formulation considers three distinct objective functions related to minimize the total cost for energy loss and capacitors to be installed, as well as decreasing the deviation of bus voltage and improving the margin loading of feeders. The novel formulation is a multi-objective and non-differentiable optimization problem. These objective functions are first formulated in fuzzy sets to assess their imprecise nature before introducing a fuzzy satisfying method based on the GA to derive the optimal solution. The proposed approach is implemented in a software package and its effectiveness is verified through numerical examples on the Tai-power system.
Relation:	International Journal of Electrical Power & Energy Systems 26(7),　p.501-508
DOI:	10.1016/j.ijepes.2004.01.002
Appears in Collections:	[Graduate Institute & Department of Electrical Engineering] Journal Article

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