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Model predictive control method for cascaded bi-directional DC-DC converter applied to a stand-alone photovoltaic energy storage system

机译:独立光伏储能系统中级联双向DC-DC变换器的模型预测控制方法

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A Model Predictive Control (MPC) method is proposed for cascaded bi-directional DC-DC converter in this paper. Building the predictive models and minimizing the cost function are included in this method. Predictive values of state variables can be obtained according to the predictive models, which include the first chopper inductor current and the second chopper inductor current, etc. The cost function is based on the system requirements, and the switching state which minimizes the cost function is selected to be the control signal in the following sampling period. Simulation and experimental results show high static/dynamic performances of the energy storage system.
机译:提出了一种用于级联双向DC-DC变换器的模型预测控制(MPC)方法。该方法包括建立预测模型和最小化成本函数。可以根据预测模型获得状态变量的预测值,包括第一斩波电感电流和第二斩波电感电流等。成本函数基于系统要求,最小化成本函数的开关状态为在接下来的采样周期中选择作为控制信号。仿真和实验结果表明储能系统具有很高的静态/动态性能。

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