Synchronous Generator Advanced Control Strategies Simulation

Abstract

Three different structures for the excitation control of a synchronous generator were simulated in Matlab Simulink: the first structure is a conventional control structure which includes a PI voltage controller, while the second structure includes a fuzzy logic controller, and the third structure includes a neural network- based voltage controller. Performances of the proposed algorithms were tested for step changes in voltage reference in the excitation system of a synchronous generator, which was connected to an AC network through a transformer and a transmission line. For the performance analysis of the proposed control structures two numerical criteria were used: the integral of absolute error and the integral of absolute error derivative. In the comparison with the PI voltage controller neural network-based controller and the fuzzy logic controller show a significant damping of oscillations. It is important to emphasize that the stabilizer was not used in the conventional control structure, which would definitely reduce the difference between the conventional and the proposed control structures. The simulation results show justification for the use of the advanced control structure based on neural networks and fuzzy logic in the excitation control system of a synchronous generator. Also, using the software package Matlab Simulink allows users to easily test the proposed algorithms.