Cyber-physical Power System Modeling for Timing-driven Control of Active Distribution Network

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Abstract

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.

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Wang, Y., Liu, D., Xu, X., & Dai, H. (2020). Cyber-physical Power System Modeling for Timing-driven Control of Active Distribution Network. Journal of Modern Power Systems and Clean Energy, 8(3), 549–556. https://doi.org/10.35833/MPCE.2018.000191

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