PARTICLE SWARM OPTIMIZATION OBTAINING MAXIMUM LOADABILITY

Abstract

Due to increasing in demand power system becomes highly stressed. The work deals with efficient and reliable evolutionary based approach to obtaining maximum loadability. PSO algorithm is a robust, stochastic computational technique based on movement and intelligence of swarm. The work introduces a conceptual overview and detail of PSO Algorithm as well as shows how it can be used for obtaining maximum load ability. The maximum loadability is an important part of a power system. Voltage stability and security assessment is the part of maximum load ability. In this work, maximum load ability can be obtained by PSO. Optimization problem can be expressed as the problem to obtain maximum load ability. The load power factor is maintained corresponding to base power factor to that bus. From 2, 4, 6 and 14 bus, maximum load ability can be obtained for various standard systems. Both the continuous and the discrete variables are used as state variables in voltage/VAR control.