The Optimal Tuning of PSO Parameters Application To Economic Load Dispatch Problem In Power System

摘要

Particle swarm optimization is a population based Meta - heuristic optimization technique. Its performance is mainly influenced by its parameters such as iteration number, population size and velocity components. To enhance its efficiency its parameters should be tuned properly. This paper provides the importance of parameter tuning in PSO for solving the problems of Economic Load Dispatch. To illustrate the impacts of various parameters in PSO technique simulation was carried out on the standard IEEE 30 bus system. Six different analyses are performed on the test system to obtain optimal dispatch. The results show that both solution quality and fast convergence are significantly achieved if proper parameters are selected for PSO technique.