"Cyber Security and Smart Grid: Vulnerabilities and Countermeasures"
Tuesday, September 4th, 2018 9:00-12:00 AM, Ballroom C1
Speakers:Dr. Richard Brooks, Professor of Electrical and Computer Engineering, Clemson University, USA
Dr. G. Kumar Venayagamoorthy, Duke Energy Distinguished Professor of Power Engineering and Director of the Real-Time Power and Intelligent Systems Laboratory, Clemson University, USA
Mr. Xingsi Zhong, PhD Candidate, Department of Electrical and Computer Engineering, Clemson University, USA.
Abstract:This tutorial provides an overview of smart grid computer and network security. A review of computer and network security basics is first provided. Numerous security taxonomies exist; most of them are based on Department of Defense analyses. We then review how system control and data acquisition (SCADA) systems, also called cyber-physical systems security differs from traditional computer security. This introductory portion ends with a review and critique of the current Department of Energy security guidelines. Given this basis, the tutorial moves on to advanced topics in smart grid security. We look specifically at synchrophasor networks. Following a quick description of PMU use and deployment, we look at PMU network security research problems. Particular emphasis will be given to PMU network traffic analysis, hijacking, and denial of service. We explain how these attacks can be performed and new trends in attack counter-measures.
"Big Data Analytics: Future of Smart Grid"
Tuesday, September 4th, 2018 1:00-3:00 PM, Ballroom C1
Speakers:Dr. G. Kumar Venayagamoorthy, Duke Energy Distinguished Professor of Power Engineering and Director of the Real-Time Power and Intelligent Systems Laboratory, Clemson University, USA
Dr. Zita Vale, Director of the Research Group on Intelligent Engineering and Computing for Advanced Innovation and Development (GECAD) and a Professor at the Polytechnic Institute of Porto,Portugal
Abstract:Big data analytics in smart grid have an increasingly critical role in the business and physical operations of delivering electricity and managing consumption. Utility big data analytics is the integration of data science within the digital grid to provide hindsight, insights and foresight that aid in explaining, predicting, and exposing hidden opportunities to improve operational and business efficiency and to deliver real-world situational awareness and intelligence. This tutorial will start with what is big data and provide descriptions on how it is different from data. Thereafter provide some insights to the considerable potential that big data analytics brings to the smart grid by virtue of a fully realized analytics. Some applications addressed include energy forecasting, demand response management, renewable energy sources, customer operations, and cybersecurity.