Fuzzy adaptive control for multi-machine power system based on ant colony algorithm
Based on multi-machine excitation control models, using fuzzy adaptive theory and considering the multi-machine nonlinear system whose states are not available, observer-based adaptive fuzzy output feed back control schemes are proposed. In this paper, the ant colony algorithm is used to optimize the fuzzy control rules. The simulation result shows that the controller can effectively improve power system stability under big disturbance.