2012
DOI: 10.17485/ijst/2012/v5i7.15
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Optimal capacitor placement in distribution networks using Genetic Algorithm

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Cited by 8 publications
(2 citation statements)
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“…The first one is the identification of capacitor location and the second is the amount of capacitor inclusion at the identified location. The most conventional sensitivity analysis has been followed for finding the optimal location and the conventional searching adapted in order to find the [14] used Body Immune Algorithm where sensitivity analysis and ranking of the buses is carried out to know the exact position of the capacitors. Dynamic programming assuming the capacitor sizes as discrete variables adapted by Duran [15].…”
Section: Introductionmentioning
confidence: 99%
“…The first one is the identification of capacitor location and the second is the amount of capacitor inclusion at the identified location. The most conventional sensitivity analysis has been followed for finding the optimal location and the conventional searching adapted in order to find the [14] used Body Immune Algorithm where sensitivity analysis and ranking of the buses is carried out to know the exact position of the capacitors. Dynamic programming assuming the capacitor sizes as discrete variables adapted by Duran [15].…”
Section: Introductionmentioning
confidence: 99%
“…The installation of capacitor on the distribution system is essential for power factor correction, minimization of power loss and improvement of voltage profile. Power loss in distribution system needs to be minimized so that it does not disrupt the power delivery to the consumer [1][2]. Capacitor installation is beneficial to the utility; but the determination of suitable location and sizing require the proper optimization technique.…”
Section: Introductionmentioning
confidence: 99%