LUCID PARTICLE SWARM OPTIMIZATION ALGORITHM FOR SOLVING OPTIMAL REACTIVE POWER PROBLEM

This paper presents, Lucid Particle Swarm Optimization (LPSO) algorithm for Solving Optimal Reactive Power Problem. Particle swarm method is typically made up of a population of simple agents intermingle locally with one another and with their surroundings, with the aim of locating the optima within the operational environment. In this paper, a robust and Lucid particle swarm optimization framework based on multi-agent system is presented, where learning capabilities are integrated into the particle agents to dynamically fiddle with their optimality behaviours. SelfSufficiency is achieved by the use of communicators that separate an agent's individual operation from that of the swarm, thereby making the system more robust. The proposed Lucid Particle Swarm Optimization (LPSO) algorithm has been tested on standard IEEE 118 & practical 191 bus test systems and simulation results show clearly about the premium performance of the proposed algorithm in reducing the real power loss.