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A POWER CAPASITOR OPTIMUM PLACEMENT ON TRANSMISSION EMPLOYING GENETIC ALGORITHM COMPUTATION METHOD

Alimuddin, Alimuddin and Tristyanto, Yulis and Praptodiyono, Supriyanto (2014) A POWER CAPASITOR OPTIMUM PLACEMENT ON TRANSMISSION EMPLOYING GENETIC ALGORITHM COMPUTATION METHOD. In: 2014 Makassar International Conference on Electrical Engineering and Informatics, 26-30 November 2014, Makassar Golden Hotel electrical engineering Faculty of Engineering Universitas Hasanuddin.

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Abstract

Abstract— the capacitor has been widely applied in electric power distribution system to reduce power loss and loss-energy, discharge capacity of the system, and to keep the voltage profile within the limits allowed. To determine the location of the optimal installation of capacitors, required an appropriate method so that the results can effect for improvement of voltage, reduction in power loss and loss-cost savings. The genetic algorithm is one method that has been widely applied to optimization problems. By using the method of genetic algorithm, optimal capacitor installation location on pulmonary channel was on the Bus with a size of 150 kVAR 4, Bus 8-size 1650 kVAR, and 12 Buses with the size of the 1950 kVAR. Large reduction in power loss-loss obtained i.e. 66,729 kW and annual cost savings of Rp. 428.459.891.5. The magnitude of the values of minimum and maximum voltage is 0,954 pu and 0,976.pu Keywords: determination of the optimal location, capacitors, genetic algorithm

Item Type: Conference or Workshop Item (Paper)
Contributors:
ContributionContributorsNIP/NIM
AuthorAlimuddin, Alimuddin197204172008121004
Additional Information: ISBN 978-1-4799-6727-8
Uncontrolled Keywords: Keywords: determination of the optimal location, capacitors, genetic algorithm
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: 03-Fakultas Teknik > 20201-Jurusan Teknik Elektro
Depositing User: Mr Alimuddin Alimuddin
Date Deposited: 18 Mar 2022 09:17
Last Modified: 18 Jul 2022 14:57
URI: http://eprints.untirta.ac.id/id/eprint/10277

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