Aiming at the voltage problems of DC distribution network with multiple groups of PV-Battery energy storage units, a distributed voltage secondary control strategy based on model predictive control algorithm is proposed in this paper. A multi-step prediction consistency model is designed as the voltage prediction model. The prediction coefficients are obtained by minimizing the objective function, contributing to the optimal secondary compensations which are added to the primary control. Deviation adjustment problems under the PI controller in traditional consistency algorithm are transformed into the voltage tracking problems under the model predictive controller. This method effectively solves the problems of poor transient characteristics of the traditional consistency algorithm, and reduces control errors in some cases. The effectiveness and superiority of the proposed strategy in different conditions have been verified by building a model on MATLAB / Simulink.

DC distribution network,Energy storage,Distributed secondary control,Model predictive control,Voltage optimization