Anticipatory fuzzy control of power systems

The paper presents an anticipatory fuzzy control scheme to improve the stability of electric power systems. This differs from the traditional fuzzy control in that once the fuzzy-control rules have been used to generate a control value, a predictive routine built into the controller is called for anticipating its effect on the power system output and hence updating the rule base or input-output membership functions in the event of unsatisfactory performance. The effectiveness of the anticipatory and traditional PI fuzzy controllers is demonstrated by simulation studies on a single-machine infinite-bus and multimachine power system subjected to a variety of transient disturbances for different operating conditions. The anticipatory fuzzy control, however, requires a neural network prediction routine using a modified Kalman filter-based fast-learning algorithm