Optimization of power system operation with static var compensator applying ACO algorithm
A Flexible AC Transmission System (FACTS) device such as Static Var Compensator (SVC) in a power system improves the voltage profile, reduces power loss and overall cost of the system. To find optimal location and size of the FACTS device, different search algorithms are used. This study focuses on the comparative performance analysis of Genetic Algorithm (GA), Particle Swarm Optimization (PSO) and Ant Colony Optimization (ACO) algorithm to find optimal location and rated value of SVC for the purpose of optimizing total power loss, total cost and improving voltage profile of the power system. Algorithms' computational efficiency is also investigated. To show validity of the proposed techniques, simulations are carried out on IEEE 14 bus and IEEE 57 bus.