PSO-TVAC Algorithm for Multi Objective PSS Design in Multi-Machine Power System

Particle Swarm Optimization with Time Varying Acceleration Coefficients (PSO-TVAC) is used to optimize Power System Stabilizer (PSS) parameters for a multi objective power system in this paper. In the proposed Syndicate tuning technique, two performances indicates as ITAE and FD are computed for the stability and performance at each of the given set of operating conditions of the system simultaneously. This approach facilitates easy handling of the multiple system models. Thereby, yielding robust and reliable stabilizer parameters. Since the objectives are not the same, a PSO-TVAC technique is used to calculate the best solution. The plausibility of the proposed algorithm is demonstrated and its performance is compared with other methods on a 3 machine 9 bus standard power system. Simulation results illustrate that the proposed algorithm has better outperforms the other algorithms.