Fast Control Strategy of Virtual Power Plant based on Model Predictive Control

Model predictive control (MPC) is a widely used control strategy in the field of power system, which has good performance in power system frequency control, voltage control and power system stability enhancement. In this paper, a fast control strategy of virtual power plant based on model predictive control is proposed. The MPC controller is used to optimize the operation of the virtual power plant, and the optimal operation curve is predicted by the optimization algorithm. The MPC controller can adjust the operation of each distributed power plant in the virtual power plant according to the predicted optimal operation curve, so as to improve the overall operation efficiency and stability of the virtual power plant. In order to improve the response speed and control accuracy of the MPC controller, a fast control strategy based VPP is proposed. The controller improves the dynamic performance and robustness of the VPP. The simulation results show that the fast control strategy of virtual power plant based on model predictive control can effectively improve the overall operation efficiency and stability of the virtual power plant.