In this article, a cloud-edge collaboration based control framework is proposed for the voltage regulation and economic operation in incremental distribution networks (IDN). The voltage regulation and economic operation, usually considered in separated aspects, can be integrated in a hierarchical control method by coordinating the active power and reactive power of distributed generators (DGs) and distributed storages (DSs) in an “active” mode. Promising the voltage security of the IDN, the upper level multiobjective optimization is formulated to maximize the consumption of the DGs, moreover, the lower level model predictive control (MPC) aims to regulate the dynamics of the DGs and DSs based on the established state space model. Time delay in the downstream channel is considered due to the open environment of the proposed control framework, which can be eliminated by using the PCM derived from the MPC considering model uncertainty. Finally, simulation results demonstrate the validity and robustness of the proposed method.

中文翻译：

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通过导热复合材料环形翅片增强高功率白光 LED 中量子点的散热


本文提出了一种基于云边协作的控制框架，用于增量配电网（IDN）的电压调节和经济运行。通常分开考虑的电压调节和经济运行可以通过在“主动”模式下协调分布式发电机（DG）和分布式存储（DS）的有功功率和无功功率来集成在分级控制方法中。保证IDN的电压安全，上层多目标优化旨在最大化DG的消耗，此外，下层模型预测控制（MPC）旨在基于建立的状态空间调节DG和DS的动态模型。由于所提出的控制框架的开放环境，考虑了下行通道中的时间延迟，考虑到模型的不确定性，可以通过使用从 MPC 导出的 PCM 来消除该时间延迟。最后，仿真结果证明了该方法的有效性和鲁棒性。