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A model predictive power control method with longer prediction horizon for distributed power generations

机译:分布式发电具有较长预测范围的模型预测功率控制方法

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The model predictive control method can be effective for converter control in distributed power generation but requires a large amount of computation, leading to a considerable time delay in the actuation. If the delay is not reflected, the system performance could get worse. This paper presents a two-step (horizon) prediction algorithm of model predictive control technique for grid-tied inverters used in wind turbine systems. The control objectives such as active and reactive power flow and switching loss reduction are reflected in the objective function of the controller. The proposed model predictive control strategy is verified numerically by using MATLAB/Simulink.
机译:该模型预测控制方法对于分布式发电中的转换器控制可能是有效的,但是需要大量的计算,从而导致致动中相当大的时间延迟。如果延迟没有得到反映,则系统性能可能会变差。本文提出了一种用于风力涡轮机系统的并网逆变器的模型预测控制技术的两步(水平)预测算法。控制目标(例如有功和无功潮流以及开关损耗的减少)反映在控制器的目标功能中。通过使用MATLAB / Simulink对所提出的模型预测控制策略进行了数值验证。

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