In a cyber-physical power system, active distribution network (ADN) facilitates the energy control through hierarchical and distributed control system (HDCS). Various researches have dedicated to develop the control strategies of primary devices of ADN. However, an ADN demonstration project shows that the information transmission of HDCS may cause time delay and response lag, and little model can describe both the ADN primary device and HDCS as a cyber-physical system (CPS). In this paper, a hybrid system based CPS model is proposed to describe ADN primary devices, control information flow, and HDCS. Using the CPS model, the energy process of primary devices and the information process of HDCS are optimized by model predictive control (MPC) methodology to seamlessly integrate the energy flow and the information flow. The case study demonstrates that the proposed CPS model can accurately reflect main features of HDCS, and the control technique can effectively achieve the operation targets on primary devices despite the fact that HDCS brings adverse effects to control process.

中文翻译：

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主动配电网时序驱动控制的网络物理电力系统建模

在网络物理电力系统中，有源配电网（ADN）通过分层和分布式控制系统（HDCS）促进了能源控制。各种研究致力于开发ADN主设备的控制策略。但是，ADN演示项目表明HDCS的信息传输可能会导致时间延迟和响应滞后，并且几乎没有模型可以将ADN主设备和HDCS都描述为网络物理系统（CPS）。本文提出了一种基于混合系统的CPS模型，用于描述ADN主要设备，控制信息流和HDCS。使用CPS模型，通过模型预测控制（MPC）方法优化了一次设备的能量过程和HDCS的信息过程，以无缝整合能量流和信息流。