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Optimal Capacitor Placement in Distribution Networks Using Genetic Algorithm
Journal Title Indian Journal of Science and Technology
Journal Abbreviation indjst
Publisher Group Informatics (India) Limited (gjeis)
Website http://gjeis.org/index.php/indjst
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Title Optimal Capacitor Placement in Distribution Networks Using Genetic Algorithm
Authors Davoodi, Majid; Davoudi, Mohsen; Ganjkhany, Iraj; Aref, Ali
Abstract One of the on-going studies in the power distribution system is optimal placement of capacitors to which designers pay attention since many years ago. The most important benefit of capacitor placement is loss reduction, voltage profile improvement, increment of power factor and freeing up the power system capacity. This paper presents a new approach for capacitor allocation in a sample distribution system. The problem formulation considers most of effective parameters in the capacitor installation. One of the distinguished characteristics of the implementation of the Genetic Algorithm for optimal capacitor placement in distribution system is its multifunction capability. The proposed method on capacitor placement and detecting optimum capacitance has been implemented and tested in a 9-bus IEEE sample network in DIGSILENT and MATLAB environments.
Publisher Indian Society for Education and Environment (ISEE)
Date 2012-07-01
Source Indian Journal of Science and Technology Volume 5, Issue 7, July 2012

 

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