Simple

Tuning the Parameters of the PID Controller of the Simplest Electric Power System Using a Genetic Algorithm

Tokhir Makhmudov
Tashkent State Technical University

Abstract
Electric power systems are complex non-linear systems by nature. Their behavior is difficult to predict due to their large size, the non-linearity of the system elements, and the dynamic interaction within the system itself. It is extremely important to develop tools for timely and accurate analysis of the stability of energy systems and obtaining the necessary control actions to increase the stability margins and prevent accidents. The article proposes an approach based on an evolutionary method for solving optimization problems - a genetic algorithm to determine the operating parameters of a proportional-integral-derivative (PID) controller. The purpose of this work is to select the tuning parameters of the PID controller by optimizing (minimizing) the response of the system under study to a single perturbation. The study presents an effective algorithm for searching for the tuning parameters of the PID controller of the system used as automatic excitation control (ARC) of synchronous machines. The results are obtained in the form of gain factors for PID controllers and characteristics of the transient mode for two options: the absence and presence of natural damping of the synchronous generator.