Loadability enhancement for pool model with FACTS devices in transmission system using Differential Evolution and Particle Swarm Optimization

Abstract

This paper concerns the optimal location and control of Flexible AC Transmission System (FACTS) devices using Differential Evolution (DE) and Particle Swarm Optimization (PSO) for enhancing loadability in transmission system for pool model in deregulated electricity market. This approach uses AC load flow equations with the constraints on power system generation, transmission line flow, magnitude of bus voltages, and FACTS device settings. For the proposed method three type of FACTS devices namely Thyristor Controlled Series Compensator (TCSC), Static VAR Compensator (SVC), and Thyristor Controlled Phase Shifting Transformer (TCPST) are used. To validate the proposed approach simulations are performed on IEEE 6 bus system and 39 bus New England Test Systems. Comparisons are made in terms of solution quality, computational time, and convergence characteristics. The simulation results thus obtained indicate that by optimal location and control of FACTS devices, using DE, enhances the loadability in transmission system with less computational time and faster convergence than using PSO. This comparative study concludes that by optimal location and control of FACTS devices using DE will be more effective for loadability enhancement in transmission system for pool model in deregulated electricity market.