Automatic Generation Control of Two Area Interconnected Thermal-Thermal Power System using APSO-PI Controller

Controller design problems play a significant role in an optimization to satisfy the performance criteria of the stability of Automatic Generation Control (AGC) in an interconnected multi-area power system. The operation objectives of the AGC are to maintain reasonably uniform frequency, to divide the load between generators and to control the tie-line interchange schedules in interconnected power systems. In this work, an Adaptive Particle Swarm Optimization based Proportional Integral (APSO-PI) controller has been proposed for solving the frequency variation problems arising due to uncertainty in loads in two area interconnected Thermal-Thermal (T-T) power system. Stochastic Algorithm can be applied for tuning PI controller gains to ensure optimal control performance at nominal operating conditions. Hence PSO in a conventional PI controller is named as APSO-PI. The gain values are randomly selected and the results are verified for every set are passed to the PI controller of the single area. Then the gain values are tested for two area of AGC to optimize the change in frequency in both areas. The performance of the APSO-PI is compared to conventional PI controller. It is found to be satisfactory with the conventional PI controller. The proposed controller is tested by a sensitivity analysis of the change in system time constant parameters namely T_G, T_T and T₁₂.