Research on Wind Power Optimal Dispatch Based on Model Predictive Control

As high penetration of wind power integrated in-to the large-scale power grid via the transmission line, active power control is prone to poor tracking control construction and over the capacity of the transmission line, and it is difficult to effectively suppress the power fluctuation caused by the randomness of wind power in traditional control methods. Therefore, a novel wind power optimal dispatch based on model predictive control (MPC) is proposed. In this approach, a combined prediction model based on the variancecovariance (VC) variable weight is adopted to provide prediction information for dispatch. To maximize wind power output, a finite time domain rolling optimization and real-time feedback correction of wind power strategy is developed for intraday dispatch, and in the feedback correction procedure, the current output state of the wind power is taken as the initial value of the next round of receding horizon optimization dispatch. A case study is carried out with a regional wind farm in North China taking as an example. The simulation and experimental result analysis show that the control strategy proposed in this paper can not only suppress the power fluctuation, but also effectively maintain the safety of the transmission line.