Dynamic performance analysis of AGC of multi-area power system considering Proportional-Integral-Derivative controller with different cost functions

This work presents Automatic Generation Control (AGC) of multi-area reheat thermal power system with Proportional-Integral-Derivative (PID) controller. The investigated power system comprises of four equal reheat thermal power system and all four areas are interconnected through tie-line. The gain values of PID controller parameters are tuned by using proposed Artificial Intelligence (AI) based optimization technique with different objective functions. Performance of proposed algorithm is tested with objective functions by considering one percent Step Load Perturbation (1% SLP) in area 1 and compared. Time domain specification analysis is considered to evaluate the performance of objective functions.