Physical security professional study guide pdf

Further documentation is available here. A real-time cyber physical system testbed is developed based on OPAL-RT, SEL 351S protection system, high-performance computers physical security professional study guide pdf communication networks.

The impact of a real-time cyber attack on the multimachine power system is studied in terms of voltage stability and generation loss. Two different mitigation strategies are studied offline using optimal power flow for system reconfiguration in order to restore normal or next steady state operating condition after failures. The ADP based real-time adaptive control is conducted for multimachine power system during the load fluctuations based on this proposed cyber physical system platform. The existing electric power grid is upgraded into a smart grid through an intelligent communication infrastructures, layers of information, extensive computing and sensing technologies.

Researchers need a power system testbed which can provide a platform for realistic experiments. This paper presents the development of a real-time cyber-physical system testbed for cyber security and stability control. We use SEL 351S protection system with OPAL-RT including control functions and communications to build a cyber-physical environment. In this testbed, we conducted power grid security experiment by knocking down two transmission lines in a row and analyzed the impact of failures. Meanwhile, we provided two mitigation strategies for this failure using optimal power flow. In addition, we conducted load fluctuations for multimachine power system, and provide timely adaptive control strategies.

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Check if you have access through your login credentials or your institution. Department of Electrical Engineering, Pulchowk Campus, Kathmandu, Nepal, in 2013, and the M. Electrical Engineering and Computer Science Department, South Dakota State University, Brookings, SD, USA, in 2016. He is now pursuing the Ph. School of Electrical and Computer Engineering, Washington State University, Pullman, WA. His current research interests include smart grid security, distribution system restoration, resilience assessment, and cyber-physical system. Department of Control Science and Engineering, Huazhong University of Science and Technology, Wuhan, China, in 2010, and the Ph.

Kingston, RI, USA, in 2015. He is currently an Assistant Professor with the Department of Electrical Engineering and Computer Science, South Dakota State University, Brookings, SD, USA. His current research interests include computational intelligence, smart grid, machine learning, and cyber-physical systems. Ni received the Chinese Government Award for Outstanding Students Abroad in 2014.