In this paper, distributed model predictive control (DMPC) for island DC micro-grids (MG) with wind/photovoltaic (PV)/battery power is proposed, which coordinates all distributed generations (DG) to stabilize the bus voltage together with the insurance of having computational efficiency under a real-time requirement. Based on the feedback of the bus voltage, the deviation of the current is dispatched to each DG according to cost over the prediction horizon. Moreover, to avoid the excessive fluctuation of the battery power, both the discharge-charge switching times and costs are considered in the model predictive control (MPC) optimization problems. A Lyapunov constraint with a time-varying steady-state is designed in each local MPC to guarantee the stabilization of the entire system. The voltage stabilization of the MG is achieved by this strategy with the cooperation of DGs. The numeric results of applying the proposed method to a MG of the Shanghai Power Supply Company shows the effectiveness of the distributed economic MPC.

中文翻译：

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分布式经济MPC协同调节海岛直流微电网电压

本文提出了针对风能/光伏(PV)/电池电源的岛屿直流微电网(MG)的分布式模型预测控制(DMPC)，它协调所有分布式发电(DG)以稳定母线电压并提供保险。在实时要求下具有计算效率。根据母线电压的反馈，在预测范围内根据成本将电流偏差调度到每个DG。此外，为了避免电池电量的过度波动，在模型预测控制（MPC）优化问题中同时考虑了充放电切换时间和成本。在每个局部MPC中设计了具有时变稳态的Lyapunov约束，以保证整个系统的稳定性。 MG的电压稳定是通过该策略与DG的配合来实现的。将所提方法应用于上海供电公司MG的数值结果表明了分布式经济MPC的有效性。