Large-scale PV microgrids constitute a growing portion of distributed renewable generation in many grids worldwide and are expected to continue their growth in the foreseeable future. Managing the operation of such microgrids and in particular their interaction with the main electricity grid is a challenging task as it involves controlling large intermittent PV resources. The addition of auxiliary DERs and energy storage systems to such microgrids is a promising solution that provides some flexibility to the operation of these fluctuating PV resources. In this work, a hierarchical predictive controller is designed to perform daily scheduling and real-time control of a PV microgrid with energy storage and auxiliary diesel generation. The controller aims to increase utilization of available PV resources, reduce the daily variability of power flow to the main grid, while at the same time controlling power fluctuations at the point of connection. The controller is designed to utilize updating load and PV predictions on a receding time horizon and uses the flexibility of energy storage and diesel resources to compensate for fluctuations and prediction errors. A study of multiple operational scenarios demonstrates successful performance of the proposed controller.

中文翻译：

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大规模光伏储能微电网潮流预测分级控制


大型光伏微电网在全球许多电网的分布式可再生能源发电中所占的比例越来越大，预计在可预见的未来将继续增长。管理此类微电网的运行，特别是它们与主电网的交互是一项具有挑战性的任务，因为它涉及控制大量间歇性光伏资源。在此类微电网中添加辅助分布式能源和储能系统是一种很有前景的解决方案，可为这些波动的光伏资源的运行提供一定的灵活性。在这项工作中，设计了分层预测控制器来对具有储能和辅助柴油发电的光伏微电网进行日常调度和实时控制。该控制器旨在提高可用光伏资源的利用率，减少主电网潮流的日常变化，同时控制连接点的功率波动。该控制器旨在利用更新的负荷和光伏预测在一个后退的时间范围内，并利用储能和柴油资源的灵活性来补偿波动和预测误差。对多个操作场景的研究证明了所提出的控制器的成功性能。