LOAD FLOW USING PARTICLE SWARM OPTIMIZATION

Abstract

ABSTRACT Load flow (LF) is an important tool in the planning and operation of power systems. It is usually solved using conventional numerical techniques like Newton-Raphson (NR) and Gauss-Siedel (GS). Most of these techniques depend on getting the inverse of the Jacobian matrix of the system. Such techniques fail to solve the load flow in some conditions, like Heavy loaded system, Ill-conditioned Jacobian matrix. In this thesis an application of particle swarm optimization (PSO) in solving the load flow problem as an optimization problem is discussed. A MATLAB program has been developed for PARTICLE SWARM OPTIMIZATION to solve load flow problem. Program is tested on IEEE 5, 14 and 30 bus system and the results are compared with conventional method.