OPTIMAL ALLOCATION OF FACTS DEVICES WITH MULTIPLE OBJECTIVES USING SIMPLE GENETIC ALGORITHM AND PARTICLE SWARM OPTIMIZATION METHOD

This Paper deals with optimal location of FACTS devices in a power system network to achieve Optimal Power Flow solution. The location of Facts devices and the setting of their control parameters are optimized by Particle swarm optimization and Simple Genetic algorithm to improve the performance of the power network. Facts devices are designed, modelled and incorporated in the Optimal Power Flow solution problem. The objective of the work is to seek the optimal location of TCSC device in a power system. The optimizations are performed on three parameters: the location of the devices, the type of the device used and their values. The system loadability and total generation fuel cost are applied as a measure of power system performance. Test cases are carried out on IEEE 30 bus power system. Results show that the proposed methods are capable of finding the suitable location for Facts controllers ’ installation, which suits the both objectives