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Optimal Capacitor Placement in Distribution Networks Using Genetic Algorithm


Affiliations
1 Department of Electrical Engineering, Takestan Branch, Islamic Azad University, Takestan, Iran, Islamic Republic of
2 Department of Electrical Engineering, Abhar Branch, Islamic Azad University, Abhar, Iran, Islamic Republic of
 

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.

Keywords

Capacitor Placement, Genetic Algorithm, Optimization
User

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  • Optimal Capacitor Placement in Distribution Networks Using Genetic Algorithm

Abstract Views: 718  |  PDF Views: 235

Authors

Majid Davoodi
Department of Electrical Engineering, Takestan Branch, Islamic Azad University, Takestan, Iran, Islamic Republic of
Mohsen Davoudi
Department of Electrical Engineering, Abhar Branch, Islamic Azad University, Abhar, Iran, Islamic Republic of
Iraj Ganjkhany
Department of Electrical Engineering, Abhar Branch, Islamic Azad University, Abhar, Iran, Islamic Republic of
Ali Aref
Department of Electrical Engineering, Takestan Branch, Islamic Azad University, Takestan, Iran, Islamic Republic of

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.

Keywords


Capacitor Placement, Genetic Algorithm, Optimization

References





DOI: https://doi.org/10.17485/ijst%2F2012%2Fv5i7%2F30511