International Journal of Engineering and Advanced Technology Studies (IJEATS)

EA Journals

Practical Capacitor Bank Location Optimization Based On Genetic Algorithm

Abstract

One of the most common and efficiency in distribution network for power factor improvement and voltage regulation control is shunt capacitor bank. The most important parameter in power factor improvement and voltage regulation process is the location and value of the capacitor bank. Many issues should be considering in Capacitor bank location select. In this paper use simulation of IEEE 14 bus on Matlab Simulink an use genetic algorithm to select capacitor bank location and values base on fitness function included Cost and P.F values. Result shows construability of genetic algorithm in cost and PF values depend on client demand by Capacitor bank location optimization location and value.

Keywords: Genetic Algorithm. Per Unit System, IEEE14 Bus, Matlab Simulink, Power Factor and Fitness Function

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This work by European American Journals is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 4.0 Unported License

 

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Email ID: editor.ijeats@ea-journals.org
Impact Factor: 7.75
Print ISSN: 2053-5783
Online ISSN: 2053-5791
DOI: https://doi.org/10.37745/ijeats.13

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