Study and application of multiple model adaptive control strategy in power system

Installing damping controller is an effective means to prevent the emergence of low-frequency oscillation in the interconnected power system. The control strategy of traditional Linear TCSC(thyristor controlled series compensator) damping controller is simple and easy to be implemented, but its adaptability and robustness is poor; the nonlinear TCSC damping controller has the better adaptability and robustness, but its control strategy is too complicated. To solve these problems, A multiple model adaptive control strategy is put forward in this thesis. Based on the recursive Bayes theorem, the weight for each model is calculated and final output of the controller is synthesized by the weights. A more satisfied performance in adaptive and robust for the new model is proofed by the simulation result.