OPTIMAL POWER SYSTEM STABILIZER DESIGN TO REDUCE LOW FREQUENCY OSCILLATIONS VIA AN IMPROVED SWARM OPTIMIZATION ALGORITHM

The power system stabilizer (PSS) has been one the most active area of research in power systems. The positive effect of PSS on Low Frequency Oscillations (LFO) damping is obviously clear. Proper designing of PSS can increase the positive effect. So, to enhance of the effectiveness, this paper presents a novel method to reduce LFO. Since the problem of PSS design can be considered as a multi-objective optimization problem, this paper proposes an improved Particle Swarm Optimization (IPSO) algorithm, which is a novel heuristic optimization algorithm, to improve the searching space and convergence speed of the Conventional PSO (CPSO) algorithm. A suitable and comprehensive fitness function is also introduced to cover the wide operating conditions. Thereby, this algorithm is employed to identify the optimal parameters of PSS for Single Machine connected to Infinite Bus (SMIB) system by minimizing the fitness function. Simulation results indicate the superiority of the proposed algorithm.