Please use this identifier to cite or link to this item: http://dspace.univ-eloued.dz/handle/123456789/7119
Title: Application Of A Particle Swarm Optimization In An Optimal Power Flow
Authors: Ben Attous, D.
Labbi, Y.
Keywords: Load flow, Optimal Power Flow, Power System, Particle Swarm Optimization (PSO).
Issue Date: 1-Jul-2010
Publisher: University of Eloued جامعة الوادي
Citation: Articale in Journal of fundamental and Applied Sciences Vol. 02 N. 02
Abstract: In this paper an efficient and Particle Swarm Optimization (PSO) has been presented for solving the economic dispatch problem. The objective is to minimize the total generation fuel and keep the power outputs of generators; bus voltages and transformer tap setting in their secure limits. The conventional load flow and incorporation of the proposed method using PSO has been examined and tested for standard IEEE 30 bus system. The PSO method is demonstrated and compared with conventional OPF method (NR, Quasi Newton), and the intelligence heuristic algorithms such ac genetic algorithm, evolutionary programming. From simulation results it has been found that PSO method is highly competitive for its better general convergence performance.
Description: Articale in Journal of fundamental and Applied Sciences Vol. 02 N. 02
URI: http://dspace.univ-eloued.dz/handle/123456789/7119
ISSN: 1112-9867
Appears in Collections:vol 02 N 02

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