Particle Swarm Optimization Based Power System Stabilizer to Enhance Power System Small Signal Stability

Power system dynamic performance is improved by the damping of system oscillations. PSS is widely used in the electric power industry for improve the performance and functions of power systems during normal and abnormal operations. It can increase the system positive damping, improve the steady-state stability margin, and suppress the low-frequency oscillation of the power system. Design and application of PSS has been the subject of continuing development for many years. Therefore, it is necessary to utilize most efficient optimization methods to take full advantages in simplifying the problem and its implementation. From this perspective, many successful and powerful optimization methods and algorithms have been employed in formulating and solving this problem. This paper proposes Particle Swarm Optimization (PSO) in modern research optimization techniques to develop Power System Stabilizer (PSS).

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