Performance comparison of optimized controller tuning techniques for voltage stability

The nonlinear nature of the system behavior causes several disturbances due to which the stability of the system gets affected. Controlled operation of power systems is very critical and most important factoris to achieve stable power system. For this reason there is a need of an adaptive control technique. PID controllers are widely used due to their simplicity and ease of re-tuning on-line. Several tuning methods such as Pattern Search (PS), Genetic Algorithm (GA), Particle Swarm Optimization (PSO) and Simulated Annealing (SA) are being used for the optimum setting of PID controller parameters so as to improve the system stability. In this paper the performance of PID controller tuned by different techniques is compared so as to design optimum controller.