Design of optimal power swing damping and fuzzy logic controller for SVC using Improved Particle Swarm Optimization algorithm

In this paper, the problem of optimal tuning of power swing damping controller (PSDC) parameters based Static VAR Compensator (SVC) is considered. This problem is formulated as an optimization problem which is solved by Improved Particle Swarm Optimization (IPSO) algorithm. Furthermore, in this paper, optimal design of fuzzy logic controller (FLC) based SVC is investigated and IPSO is used to optimize the scaling factors and membership functions of FLC based SVC. The proposed controllers coordinated with SVC are applied to single-machine infinite bus system (SMIBS) for the sake of improvement of power system damping. Simulation results show effectiveness of the proposed controllers to damp out low frequency oscillations under different loading and fault conditions. Also, the results indicate that the control performance and robustness of FLC is superior to that of PSDC under different disturbances and loading conditions.