A journal of IEEE and CAA , publishes high-quality papers in English on original theoretical/experimental research and development in all areas of automation
Volume 3 Issue 1
Jan.  2016

IEEE/CAA Journal of Automatica Sinica

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Article Contents
Zhongwen Li, Chuanzhi Zang, Peng Zeng, Haibin Yu and Hepeng Li, "MAS Based Distributed Automatic Generation Control for Cyber-Physical Microgrid System," IEEE/CAA J. of Autom. Sinica, vol. 3, no. 1, pp. 78-89, 2016.
Citation: Zhongwen Li, Chuanzhi Zang, Peng Zeng, Haibin Yu and Hepeng Li, "MAS Based Distributed Automatic Generation Control for Cyber-Physical Microgrid System," IEEE/CAA J. of Autom. Sinica, vol. 3, no. 1, pp. 78-89, 2016.

MAS Based Distributed Automatic Generation Control for Cyber-Physical Microgrid System

Funds:

This work was supported by National Natural Science Foundation of China (61100159, 61233007, 61503371), National High Technology Research and Development Program of China (863 Program) (2011AA040103), Foundation of Chinese Academy of Sciences (KGCX2-EW-104), the Strategic Priority Research Program of the Chinese Academy of Sciences (XDA06021100), and the Cross-disciplinary Collaborative Teams Program for Science, Technology and Innovation, of Chinese Academy of Sciences-Network and System Technologies for Security Monitoring and Information Interaction in Smart Grid, Energy Management System for Micro-smart Grid.

  • The microgrid is a typical cyber-physical microgrid system (CPMS). The physical unconventional distributed generators (DGs) are intermittent and inverter-interfaced which makes them very different to control. The cyber components, such as the embedded computer and communication network, are equipped with DGs, to process and transmit the necessary information for the controllers. In order to ensure system-wide observability, controllability and stabilization for the microgrid, the cyber and physical component need to be integrated. For the physical component of CPMS, the droop-control method is popular as it can be applied in both modes of operation to improve the grid transient performance. Traditional droop control methods have the drawback of the inherent trade-off between power sharing and voltage and frequency regulation. In this paper, the global information (such as the average voltage and the output active power of the microgrid and so on) are acquired distributedly based on multi-agent system (MAS). Based on the global information from cyber components of CPMS, automatic generation control (AGC) and automatic voltage control (AVC) are proposed to deal with the drawback of traditional droop control. Simulation studies in PSCAD demonstrate the effectiveness of the proposed control methods.

     

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