Funded by NSF SFS Program (NSF-1303359, $500K, 9/2013-8/2016)
The overall goal of this proposal is to develop an integrated simulation framework of smart grids for security educational purposes, design and implement a suite of course modules and handson exercises upon the system, and contribute to the establishment of an education and training pipeline for information security workforce in future power industry through carefully planned evaluation and dissemination activities. To accomplish this task, the proposed efforts consist of the following components: (1) design and develop a smart grid simulation framework including an industry standard control network protocol and a power grid operation simulator; (2) design a suite of course modules and hands-on projects upon the environment for security education in smart grids; (3) implement the instructional materials in three participating institutions and conduct rigorous and systematic evaluation of their impacts, and (4) promote dissemination and adoption of the proposed approach through faculty development workshops, partnership with industry, high school/undergraduate outreach activities, and instructional material development and sharing.
Cyber-security of smart grid has raised significant interest and concerns amongst both general public and researchers. A Department of Homeland Security report shows that a vulnerability in smart meters could allow attackers to remotely control thousands of such devices and cause regional blackout. To better protect future power systems, more than ten university level critical infrastructure research centers have been established nationwide. Different from the emphasis on research in securing critical infrastructures, the corresponding education programs fall behind in this country in many aspects. For example, to the best of our knowledge, there is no integrated simulation environment of smart grids dedicated to security educational programs that covers all essential components including power systems, control networks, and communication networks. The few systems that become available recently for research purposes are not designed for in-and-out-of-class exercises since their software infrastructures and programming interfaces cannot be easily grasped by students and instructors. The open source system MATPOWER does not include the control and communication network components. The lack of such environments puts a serious challenge for the training of qualified workforce to fill tens of thousands of positions in the fast evolving smart grid industry, which becomes an urgent demand after several power grid failures attributed to cyber-related attacks.
To bridge this gap, we plan to develop an integrated smart grid simulation environment for security education purposes, design a suite of course modules and hands-on exercises using the system, and contribute to the establishment of an education and training pipeline for information security workforce for future power industry through carefully planned evaluation and dissemination activities.
- Yi Pan, Georgia State University (GSU)
- WenZhan Song, Georgia State University (GSU)
- Weichao Wang, University of North Carolina Charlotte (UNCC)
- Le Xie, Texas A&M University (TAMU)
- Kewen Wang
 Song Tan, Debraj De, WenZhan Song, Junjie Yang, Sajal Das, Survey of Security Advances in Smart Grid: A Data Driven Approach IEEE Communications Surveys and Tutorials, 18 (1), pp. 397-422, 2017.
 Qifen Dong, Li Yu, WenZhan Song, Junjie Yang, Yuan Wu, Jun Qi Fast Distributed Demand Response Algorithm in Smart Grid. IEEE/CAA Journal of Automatica Sinica, 2016.
 Yuan Wu, Xiaoqi Tan, Liping Qian, Danny Hin-Kwok Tsang, Wen-Zhan Song, Yu, Li Optimal Pricing and Energy Scheduling for Hybrid Energy Trading Market in Future Smart Grid. IEEE Transactions on Industrial Informatics, 2015.
 Yuan Wu, Wen-Zhan Song Cooperative Resource Sharing and Pricing for Proactive Dynamic Spectrum Access via Nash Bargaining Solution. IEEE Transactions on Parallel and Distributed Systems (TPDS), 25 , 2014.
 Yuan Wu, Xiaojie Sun, Xiaoqi Tan, Limin Meng, Li Yu, Wen-Zhan Song, Danny Hin-Kwok Tsang Cooperative Distributed Energy Generation and Energy Trading for Future Smart Grid. China Control Conference, CCC2014, Nanjing, P.R. China, 2014.
ScorePlus: A Software-Hardware Hybrid and Federated Experiment Environment for Smart Grid, ACM Transaction on Embedded Computing System, 2016
Online Data Integrity Attacks Against Real-Time Electrical Market in Smart Grid, IEEE Transaction on Smart Grid, 2016
Construct Data Integrity Attacks Against Real-Time Electrical Market in Smart Grid ,IEEE International Conference on Smart Grid Communications (SmartGridComm), Nov, 2015.
ScorePlus: Integrated Scalable Cyber-Physical Experiment Environment for Smart Grid,IEEE International Conference on Sensing, Communication and Networking (SECON), June, 2015.
SmartGridLab+: A Software-Hardware Hybrid Smart Grid Testbed,Tenth Carnegie Mellon Conference On the Electricity Industry, Apr, 2015.
Distributed Software Emulator for Cyber-Physical Analysis in Smart Grid,IEEE Transaction on Emerging topics in Computing, 2014.
Distributed Power-line Outage Detection Based on Wide Area Measurement System,Special issue on “Sensor Computing for Mobile Security and Big Data Analytics”, Sensors Journal, MDPI, 2014.
Monitoring for Power-line Change and Outage Detection in Smart Grid via the Alternating Direction Method of Multipliers,IEEE International Conference on Advanced Information Networking and Applications Workshops (AINA), 2014.
Topology Identification in Smart Grid with Limited Measurements Via Convex Optimization,IEEE Innovative Smart Grid Technologies Conference- Asia (ISGT-ASIA), 2014.
LPAttack: Leverage Point Attacks against State Estimation in Smart Grid,IEEE Global Communications Conference (IEEE GlobeCom), 2014.
Integrated Software Testbed for Cyber-Physical Analysis in Smart Grid, 5th Innovative Smart Grid Technologies Conference (IEEE PES ISGT), 2014.
SCORE: Smart-Grid Common Open Research Emulator, The 3rd IEEE International Conference on Smart Grid Communications (IEEE SmartGridComm), 2012.
A Wireless Smart Grid Testbed In Lab, Special Issue on Recent Advances in Wireless Technologies for Smart Grid, IEEE Wireless Communications Magazine, 2012.
Distributed Demand and Response Algorithm for Optimizing Social-Welfare in Smart Grid, The 26th IEEE International Parallel & Distributed Processing Symposium (IPDPS’12), Shanghai, China, 2012. (acceptance ratio 21%: 118 out of 569)
SmartGridLab: A Laboratory-Based Smart Grid Testbed, The 1st IEEE International Conference on Smart Grid Communications (IEEE SmartGridComm), 2010.
Demand and Response in Smart Grid, Green Communications and Networking, 2012.
A Smart Grid Testbed: Design and Validation, Book Chapter of Communication and Networking in Smart Grids, Auerbach Publications, Taylor & Francis Group, 2011.