Application Of A Particle Swarm Optimization In An Optimal Power Flow

dc.contributor.author	Ben Attous, D.
dc.contributor.author	Labbi, Y.
dc.date.accessioned	2020-10-14T10:48:33Z
dc.date.available	2020-10-14T10:48:33Z
dc.date.issued	2010-07-01
dc.description	Articale in Journal of fundamental and Applied Sciences Vol. 02 N. 02	en_US
dc.description.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.	en_US
dc.identifier.citation	Articale in Journal of fundamental and Applied Sciences Vol. 02 N. 02	en_US
dc.identifier.issn	1112-9867
dc.identifier.uri	http://dspace.univ-eloued.dz/handle/123456789/7119
dc.language.iso	en	en_US
dc.publisher	University of Eloued جامعة الوادي	en_US
dc.subject	Load flow, Optimal Power Flow, Power System, Particle Swarm Optimization (PSO).	en_US
dc.title	Application Of A Particle Swarm Optimization In An Optimal Power Flow	en_US
dc.type	Article	en_US

Files

Now showing 1 - 1 of 1

Name:: APPLICATION OF A PARTICLE SWARM OPTIMIZATION IN AN OPTIMAL POWER FLOW.pdf
Size:: 195.35 KB
Format:: Adobe Portable Document Format
Description:: Articale in Journal of fundamental and Applied Sciences Vol. 02 N. 02

Now showing 1 - 1 of 1