Grid Voltage Control with New Energy, Energy Storage, and Flexible Load Based on Combined Model and Improved MPC

Aiming at the problem of grid voltage fluctuation caused by new energy grid connection, this paper proposes a dual-time-scale grid voltage control method based on combined model and improved model predictive control (MPC). First of all, in order to effectively improve the accuracy of reactive power control instructions, this paper uses a combined prediction model instead of the traditional single prediction model as the prediction kernel; secondly, the improved multidimensional chaotic traversal particle swarm algorithm is used as the optimization kernel in the long-time scale control to deal with the problems of many kinds of particles and large dimensions. Thirdly, the improved MPC method based on the error dynamic feedback coefficient is used to complete the rolling optimization in the inner short-time scale voltage regulation. Finally, taking the actual regional power grid in a certain area of eastern China as an example, comparing the traditional dual time-scale voltage control to verify the feasibility and advancement of the improved strategy proposed in this paper.