A generator tripping control method based on trajectory sensitivity analysis and pattern search

A generation tripping control method based on trajectory sensitivity analysis and pattern search is proposed in this paper. Considering the nonlinear dynamic model of multi-machine power system, the trajectory sensitivity of instable rotor angle to all generators´ output power is derived, which is used to screen candidate control targets for generator tripping, and then the optimal control strategy is chosen by a pattern search algorithm. The proposed control method uses trajectory from time-domain simulation for analysis, which guarantees control accuracy compared to direct analysis method. Furthermore, the method realizes parallel calculation of both trajectory sensitivity and pattern search, which improves the decision-making efficiency and is particularly applicable to online pre-decision-making. Finally, two power system cases are illustrated to verify the effectiveness of the method.