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 5 Issue 2
Mar.  2018

IEEE/CAA Journal of Automatica Sinica

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    CiteScore: 11.2, Top 5% (Q1)
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Article Contents
Md Masud Rana, Li Li and Steven W. Su, "Cyber Attack Protection and Control of Microgrids," IEEE/CAA J. Autom. Sinica, vol. 5, no. 2, pp. 602-609, Mar. 2018. doi: 10.1109/JAS.2017.7510655
Citation: Md Masud Rana, Li Li and Steven W. Su, "Cyber Attack Protection and Control of Microgrids," IEEE/CAA J. Autom. Sinica, vol. 5, no. 2, pp. 602-609, Mar. 2018. doi: 10.1109/JAS.2017.7510655

Cyber Attack Protection and Control of Microgrids

doi: 10.1109/JAS.2017.7510655
More Information
  • Recently, the smart grid has been considered as a next-generation power system to modernize the traditional grid to improve its security, connectivity, efficiency and sustainability. Unfortunately, the smart grid is susceptible to malicious cyber attacks, which can create serious technical, economical, social and control problems in power network operations. In contrast to the traditional cyber attack minimization techniques, this paper proposes a recursive systematic convolutional (RSC) code and Kalman filter (KF) based method in the context of smart grids. Specifically, the proposed RSC code is used to add redundancy in the microgrid states, and the log maximum a-posterior is used to recover the state information, which is affected by random noises and cyber attacks. Once the estimated states are obtained by KF algorithm, a semidefinite programming based optimal feedback controller is proposed to regulate the system states, so that the power system can operate properly. Test results show that the proposed approach can accurately mitigate the cyber attacks and properly estimate and control the system states.


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