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A Receding Horizon Optimal Scheduling Method of Networked Charging System

A novel receding horizon optimal scheduling algorithm is presented for the node devices charging process of a distributed electric barriers system where the power supply line capacity and the start-up current fluctuation rate are constrained. This optimal strategy aims at reducing the power supply current and avoiding the high start-up inrush current. Based on the analysis of system structure, a linear system model is established to describe the dynamic process, and the above two problems are formulated too. A nonlinear current reference trajectory is designed through comprehensive considering with the charging time, current amplitude and rate of current change, simultaneously. After adding the symbolic function, which can express the work state of the node devices, into the linear system model, then the model is reconstructed into a nonlinear system model. Furthermore, a discrete predictive model is established. The objective function is designed to minimize the variance of the predicted current and the reference current. Receding horizon optimal method is used to obtain the scheduling strategy. Performances of the system with the proposed receding horizon optimal method are verified by simulation results. The research results can be widely used in networked charging systems.