Comparative study on distributed generator sizing using three types of Particle Swarm Optimization

Jamian, J.J. and Mustafa, M.W. and Mokhlis, H. and Abdullah, M.N. (2012) Comparative study on distributed generator sizing using three types of Particle Swarm Optimization. In: Intelligent Systems, Modelling and Simulation (ISMS), 2012 Third International Conference on, 2012.

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Abstract

Total power losses in a distribution network can be minimized by installing Distributed Generator (DG) with correct size. In line with this objective, most of the researchers have used multiple types of optimization technique to regulate the DG’s output to compute its optimal size. In this paper, a comparative studies of a new proposed Rank Evolutionary Particle Swarm Optimization (REPSO) method with Evolutionary Particle Swarm Optimization (EPSO) and Traditional Particle Swarm Optimization (PSO) is conducted. Both REPSO and EPSO are using the concept of Evolutionary Programming (EP) in Particle Swarm Optimization (PSO) process. The implementation of EP in PSO allows the entire particles to move toward the optimal value faster. A test on determining optimum size of DGs in 69 bus radial distribution system reveals the superiority of REPSO over PSO and EPSO.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Distributed generation sizing; Distribution network; Optimal sizing; Power losses reduction
Subjects: T Technology > TA Engineering (General). Civil engineering (General)
T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Faculty of Engineering
Depositing User: Mr Jenal S
Date Deposited: 10 Jul 2013 07:28
Last Modified: 13 Nov 2017 08:01
URI: http://eprints.um.edu.my/id/eprint/7838

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