Research on a novel hybrid optimization algorithm based on agent and particle swarm

Abstract

A novel multi-agent particle swarm optimization algorithm (MA-PSO) is proposed for optimal reactive power dispatch and voltage control of power system. The method integrates multi-agent system (MAS) and particle swarm optimization algorithm (PSO). An agent in MA-PSO represents a particle to PSO and a candidate solution to the optimization problem. All agents live in a lattice-like environment, with each agent fixed on a lattice-point. In order to decrease fitness value, quickly, agents compete and cooperate with their neighbors. and they can also use knowledge. Making use of these agent interactions and evolution mechanism of PSO. MA-PSO realizes the purpose of' minimizing the value of' objective function. MA-PSO applied for optimal reactive power is evaluated on power system. It is shown that the proposed approach converges to better solutions much faster than the earlier reported approaches. © 2012 Springer Science+Business Media B.V.