A Case Study of Horizon Window in Receding Horizon Control for Renewable Energy Integration
A Case Study of Horizon Window in Receding Horizon Control for Renewable Energy Integration
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DOI：
10.1109/eit.2019.8833852
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发表时间：
2019-05
期刊：
影响因子：
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通讯作者：
Avijit Das;Z. Ni
中科院分区：
文献类型：
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作者：
Avijit Das;Z. Ni
将可再生能源（RESs）集成到电网中增加了电力系统输入曲线的复杂性和非线性。滚动时域控制（RHC）方法通过减少未来预测的影响，有可能减轻电力系统优化问题的复杂性。然而，水平窗口大小的设计一直是RHC优化的经典问题。在本文中，我们研究的视野大小的能量调度优化问题与RESS集成的效果。我们进行了两个不同的实验，并考虑单个（仅光伏）和多个（光伏和风能）RES，并显示不同的地平线窗口的RHC方法的性能。我们验证了RHC方法的性能与调整的视野大小相比，我们的参考混合整数规划方法。随着可再生能源渗透率的增加，可能需要更长的时域窗口来提高优化性能。
Integrating renewable energy sources (RESs) into power grid increases complexity and non-linearity in power system input profiles. Receding horizon control (RHC) approach has the potential to mitigate the complexity of power system optimization problems by reducing the future prediction effects. However, designing the horizon window size is being a classical issue of RHC optimization. In this paper, we study the effect of horizon size on an energy scheduling optimization problem with the integration of RESs. We conduct two different experiments and consider both single (only photovoltaic) and multiple (photovoltaic and wind) RESs, and show the performance of the RHC approach with different horizon windows. We validate the performance of the RHC approach with tuned horizon size comparing with our reference mixed integer programming approach. With increasing penetration of renewable energy resources, a longer horizon window may be needed to improve the optimization performance.