Optimal Design of SVC-PI Controller for Damping Improvement Using New Computational Intelligence Approach

摘要

This paper presents an optimal design of a Static Var Compensator (SVC) for damping improvement of a Single Machine Infinite Bus (SMIB) system. In this study, SVC is installed to improve the angle stability of a synchronous generator. A new computational intelligence approach called Particle Swarm Optimization (PSO) technique is implemented. The study involves the optimization of the proportional gain, K_P and interval gain, K_I parameters of PI controller. Results are based on damping ratio as an objective function. Results based on PSO technique are compared with other widely used optimization techniques. From the results, it is found that the proposed technique is very effective to reduce the damping problem which indicates that stability has been achieved.