Revue des Sciences Fondamentales Appliquées
Volume 2, Numéro 2, Pages 241-253

Application Of A Particle Swarm Optimization In An Optimal Power Flow

Authors : Ben Attous D. . Labbi Y. .


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.


Load flow, Optimal Power Flow, Power System, Particle Swarm Optimization (PSO).

Optimal Power Flow Using Hybrid Particle Swarm Optimization And Moth Flame Optimizer Approach

Khelifi Aboubakr .  Chettih Saliha .  Bentouati Bachir . 
pages 33-41.

Optimal Power Flow Solution Including Wind Power Generation Into Isolated Adrar Power System Using Psogsa

Makhloufi S. .  Mekhaldi A. .  Teguar M. .  Saheb-koussa D. .  Djoudi A. . 
pages 721-732.

An Efficient Particle Swarm Optimization Of Rfm For Alsat2 Images Ortho-rectification

Mezouar Oussama .  Meskine Fatiha .  Boukerch Issam . 
pages 12-22.