Evaluation of Automatic Voltage Regulator's PID Controller coefficients using Python

Python is a flexible programming tool for all kinds of technological and engineering tasks of academicians, researchers, etc. The variations in the terminal voltage will affect the relative power of the synchronous generator, these variations in the terminal voltage will mitigate by controlling the generator field excitation. This goal will achieve with the help of an Automatic Voltage Regulator (AVR), but unfortunately, the AVR solely cannot control the variations in terminal voltage effectively. It needs a supplementary control like a PID controller to achieve the goal. In this research paper, the PID coefficients are evaluated, in a Python environment, using Good gain and Pattern search tuning algorithms (proposed tuning methods). The robustness of the proposed controllers is evaluated by finding the maximum allowable uncertainties in nominal parameters for different first peak overshoots. The simulation results indicate that the proposed tuning methods give a good voltage stability performance in terms of time-domain specifications (including parameter uncertainties and external disturbances) than the other tuning methods.