Application of Modified Particle Swarm Optimization for Load Flow Problem

Abstract

This paper presents an evolutionary computation approach, based on the Modified Particle Swarm Optimization method, for solving the load flow problem. The proposed method combines the Particle Swarm Optimization algorithm with modified velocity in order to eliminate the local minima. The objective of the load flow problem is to minimize the voltage and power mismatch and also constraining the power loss to a minimum value. The proposed method has been tested on the Ward Hale Six Bus and Nine Bus test systems. The results obtained shows the effectiveness and the improvements in the solutions.