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


Citation

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

Abstract / Synopsis

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.


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Additional Metadata

Item Type: Article
Divisions: Faculty of Engineering
Publisher: Universiti Putra Malaysia Press
Keywords: Distributed generation (DG); Differential evolution (DE); Multi-objective function (MOF)
Depositing User: Nabilah Mustapa
Date Deposited: 30 Jun 2017 17:45
Last Modified: 05 Jul 2017 13:03
URI: http://psasir.upm.edu.my/id/eprint/55831
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