PSO based tuning of PID controller for a Load frequency control in two area power system

The paper deals with optimal tuning of a PID controller for a load frequency control of two area Power system using particle swarm optimization (PSO) algorithm. The proposed approach has superior feature, including easy implementation, stable convergence characteristics and very good computational performances efficiency. The main objective is to obtain a stable ,robust and controlled system by tuning the PID controller using PSO algorithm. The incurred value is compared with the traditional tuning techniques like Ziegler Nichols and is proved better. The interconnected two area LFC system is modeled and simulated using MATLAB-SIMLINK environment and the PID control parameters are tuned based on PSO algorithm. Hence the results establishes that tuning the PID controller using the PSO technique gives less over shoot, system is less sluggish and reduces the integral Time absolute error( ITAE) Particle Swarm Optimization method finds the best parameters for controller and designed controller is an optimal controller. The studies power system is subjected to a load disturbances to validate the effectiveness of the proposed PSO controller. The simulated results are obtained for different load configurations of the PSO based controller.