Soft computing based governing control and excitation control for stability of power system

摘要

The issue of power system stability is becoming more crucial 1. The excitation and governing control of generator play an important role in improving the dynamic and transient stability of power system. In this paper, the authors present a Neuro-fuzzy based method for the excitation control and governing control. The application of Neuro-fuzzy model (ANFIS model) to generate two compensating signal to modify the controls during system disturbances is proposed 5. A simulation model comparing single machine to infinite bus system is applied 6. The oscillation of internal generator angles is observed to indicate the good performance of proposed control scheme 8. Power system stability issue has been studied widely. Many significant contributions have been made, not only in the aspect of analyzing and explaining the dynamic phenomena but also in the effort of improving the stability of transmission systems. Among these techniques, generator control is one of the most widely applied in power industry. In this paper a coordination of governing control and excitation control using Adaptive Neuro Fuzzy Inference System (ANFIS) model compensate their control inputs during faults 1. The proposed ANFIS automatically coordinates the behavior of the two compensations. The observations show its satisfactory behavior for proposed control.