APPLICATION OF PARTICLE SWARM OPTIMIZATION TECHNIQUE IN OPTIMAL LOCATION AND SIZING OF SVC

Abstract

As economy grows, the demand of power increases. The increase in the reactive power demand may cause worsening in the voltage profile. To ensure the reliable power supply and to reduce the losses, reactive power compensation is required. For reactive power compensation fact devices can be used. Here the Static Var Compensator (SVC) is taken as a case as shunt fact device. In this thesis, optimal placement and sizing of SVC considering the bus voltages and cost of installation has been formulated using stochastic approach. The non-inferior set has been generated for IEEE 14-bus systems using one of the intelligent optimization techniques, Particle Swarm Optimization (PSO). To solve the set of power flow equation to get the operating point of the system, the algorithm of Newton Raphson’s method is adopted. A MATLAB program has been developed for Evolutionary Programming and Evolutionary Computation such as Particle Swarm Optimization (PSO) to solve the problem addressing optimal placement and sizing of SVC considering the bus voltages and cost of installation.