Optimization of Automatic Generation Control Scheme with Pso Tuned Fuzzy Pid Controller And Comparision With Conventional Pso Pid Controller

Automatic generation control or AGC system is substantial control process that operates perpetually to balance the generation and load in power system at minimum cost. If any kind of mismatch occurs between generation and demand causes the variation in the system frequency from its nominal value. This high frequency deviation may cause system breakdown. In order to maintain the stability, a very fast, reliable and accurate controller is needed to maintain the system frequency within the range. This paper presents the particle swarm optimization (PSO) technique to tune the Fuzzy based PID controller gains for the automatic generation control (AGC) of the interconnected two area power system. Each control area includes the dynamics response of the power systems. The results reported in this paper present the potency of the particle swarm optimizer in the tuning of the Fuzzy based PID controller parameter for two area power system. The improvement in the dynamic response of the power system is verified. The output response of the proposed work is compared with PSO-PID controller.