Optimization of synchronous generator excitation controller parameters

In this paper the excitation control (AVR) for synchronous generator has been developed using PID controller. Optimal tuning of Proportional-Integral-Derivative (PID) controller parameters is necessary for the satisfactory operation of Automatic Voltage Regulator system. Hence, Real coded Genetic Algorithm is used as optimization technique for tuning optimal values of PID controller parameters (K_p, K_i, and K_d). The optimal PID gains are obtained by the proposed GA for various operating condition and the performance of the system is compared with Fuzzy controller and Ziegler-Nichols method and are tested under perturbations. The suitability of the proposed approach for PID controller tuning has been demonstrated through computer simulations in an AVR system.