Load flow studies based on a new Particle Swarm Optimization

In this paper, an attempt has been made to develop a new variant of Particle Swarm Optimization (PSO) algorithm and perform load flow on IEEE 5 and 14 bus systems using this new algorithm. In this new PSO, a better population of particles is selected by applying reduction factor (r) after suitable number of iterations called sorting frequency (fs). This better population is based on the objective function value and is chosen after suitable sorting frequency. The results of load flow using the new PSO are found to be as accurate as that obtained by Newton Raphson method and are also found to converge faster than the conventional PSO.