Cybersecurity in the Smart Electrical Grid

Cyber-enabled Demand Side Management (DSM) plays a crucial role in smart grid by providing automated decision-making capabilities that selectively schedule loads on these local grids to improve power balance and grid stability. Typically relying on Advanced Metering Infrastructure for two way communication capabilities, such DSM methods consider current and forecasted power generation, as well as load types and requirements, availability of storage, and flexible pricing incentives and tariff structures to either dispatch load (either directly via controllable loads or indirectly via pricing signals) in response to inadequate and/or uncontrollable power supply. Our research investigates different information security problems in the context of demand side management including smart meter privacy through energy management systems, privacy-cost tradeoffs in energy storage systems, topological vulnerabilities in advanced metering infrastructure, and false data injection that exploit the DSM feedback loop to target specific components or operations of the distribution grid.

Some publications from this work:

Yao, Jiyun, and Parv Venkitasubramaniam. “The privacy analysis of battery control mechanisms in demand response: Revealing state approach and rate distortion bounds.” IEEE Transactions on Smart Grid 6.5 (2015): 2417-2425 pdf

Yao, Jiyun, and Parv Venkitasubramaniam. “On the privacy-cost tradeoff of an in-home power storage mechanism.” 2013 51st Annual Allerton Conference on Communication, Control, and Computing (Allerton). IEEE, 2013 pdf

Yao, Jiyun, and Parv Venkitasubramaniam. “On the privacy-cost tradeoff of battery control mechanisms in demand response: Selective information protection.” Non-Intrusive Load Monitoring Workshop. 2014 pdf

Yao, Jiyun, and Parv Venkitasubramaniam. “Stochastic games of end-user energy storage sharing.” 2016 IEEE 55th Conference on Decision and Control (CDC). IEEE, 2016 pdf

Yao, Jiyun, and Parv Venkitasubramaniam. “Privacy aware stochastic games for distributed end-user energy storage sharing.” IEEE Transactions on Signal and Information Processing over Networks 4.1 (2017): 82-95 pdf

Yao, Jiyun, and Parv Venkitasubramaniam. “Optimal end user energy storage sharing in demand response.” 2015 IEEE International Conference on Smart Grid Communications (SmartGridComm). IEEE, 2015. pdf

Yao, Jiyun, et al. “Network topology risk assessment of stealthy cyber attacks on advanced metering infrastructure networks.” 2017 51st Annual Conference on Information Sciences and Systems (CISS). IEEE, 2017. pdf

Pradhan, P., Nagananda, K., Venkitasubramaniam, P., Kishore, S., & Blum, R. S. “GPS spoofing attack characterization and detection in smart grids,” In 2016 IEEE Conference on Communications and Network Security (CNS) (pp. 391-395). IEEE. pdf

Zhao, C., Hatalis, K., Venkitasubramaniam, P., Blum, R., Kishore, S., Snyder, L. “Detecting Cyber Attacks in Demand Side Management, ” accepted to IEEE Power and Energy Society, TD2020.

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