Universiti Teknologi Malaysia Institutional Repository

Distributed generator sizing via evolutionary particle swarm optimization

Mustafa, Mohd. Wazir and Jamian, Jasrul Jamani and Baharud, Muhammad Ariff and Mokhlis, Hazlie (2012) Distributed generator sizing via evolutionary particle swarm optimization. In: Proceedings of the IASTED Asian Conference on Power and Energy Systems, AsiaPES 2012. ACTA Press, Canada, pp. 108-113. ISBN 978-088986910-3

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Official URL: http://www.actapress.com/PaperInfo.aspx?paperId=45...

Abstract

With the existence of Distribution Generator (DG) in distribution network, the power losses in the network can be minimized by resizing the power output of each DG units. In line with this objective, most researchers have concentrated on the optimization technique to regulate the DG.s output to compute its optimal size. In this paper, the concept of Evolutionary Particle Swarm Optimization (EPSO) method is implemented in sizing the DG units. By applying the concept of Evolutionary Programming (EP) in Particle Swarm Optimization (PSO), it will allow the only successful particles to move toward the optimal value and make the process of convergence become faster. The algorithm has been tested in 33 bus distribution system with 3 units of DG that operate in PV mode. Its performance was compared with the performance when using the traditional PSO. In terms of power loss reduction and voltage profile, the EPSO gives similar performance as PSO. Morever, it requires less number of iteration to converge. Thus, EPSO can reach the optimal value in shorter time while maintaining the traditional PSO.s performance.

Item Type:Book Section
Additional Information:Indexed by Scopus
Uncontrolled Keywords:distributed generator, particle swarm optimization, power loss eduction, resizing
Subjects:T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions:Electrical Engineering
ID Code:35243
Deposited By:INVALID USER
Deposited On:30 Oct 2013 03:13
Last Modified:04 Feb 2017 05:51

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