Two dimensional particle swarm optimization algorithm for load flow analysis

Methods generally used for load flow analysis have been found to be time consuming and complex. This paper presents an optimization algorithm for load flow analysis inspired from swarm optimization techniques. Particle swarm optimization (PSO) is a type of swarm intelligence that is based on social-psychological principles and provides insights into social behavior, as well as contributes to engineering applications. This algorithm optimizes the power flows on different branches of network using the particles memory based algorithm. The feasibility of the concept has been proved by performing simulations in ETAP environment.