计及风力发电机转速安全约束的DFIG一次调频模型预测控制策略OA北大核心CSTPCD

Aiming at the problem that the frequency modulation effect of the traditional method to control the doubly fed induction generator(DFIG)dependents on the parameter setting too much,a fan participating in primary frequency regulation control strategy is proposed based on model predictive control(MPC)and speed safety constraints.This method combines the fan dynamic model and frequency response model to establish a prediction model,and takes the stability of fan speed into account by changing the reference value through linear regression method.Compared with the methods such as virtual inertial control,which directly associates the system frequency deviation with the rotor kinetic energy,this method considers the state information of the whole system in real time by establishing a new prediction model,without repeatedly adjusting the parameters,considering the speed safety along with the global performance.Finally,the effectiveness of the proposed frequency modulation strategy and its advantages over the existing methods are verified by an actual example.