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Optimal location and size of distributed generation to reduce power losses based on differential evolution technique

Abdul Wahab, Noor Izzri and Hammadi, Ahmed Sahib and Othman, Mohammad Lutfi (2017) Optimal location and size of distributed generation to reduce power losses based on differential evolution technique. Pertanika Journal of Science & Technology, 25 (spec. Jan.). pp. 169-178. ISSN 0128-7680; ESSN: 2231-8526

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Official URL: http://www.pertanika.upm.edu.my/Pertanika%20PAPERS...

Abstract

An electric power system generate electricity to meet demands. Distributed Generation (DG) allows electricity to be generated in a small capacity where the customer is located. In this paper, multi-objective functions based on the indices of system performance are formulated and used to determine the best location. The Differential Evolution technique (DE) has been employed to calculate optimal sizing for each location. Unity power factor DG model have been studied in this work and the problems solved with one DG unit. IEEE 14 bus has been used as a test system.

Item Type:Article
Keyword:Distributed generation (DG); Differential evolution (DE); Multi-objective function (MOF)
Faculty or Institute:Faculty of Engineering
Publisher:Universiti Putra Malaysia Press
ID Code:55831
Deposited By: Nabilah Mustapa
Deposited On:30 Jun 2017 17:45
Last Modified:05 Jul 2017 13:03

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