Cyber-security of Intelligent Power Grids: Risk Assessment and Mitigation


Project Description

The increasingly digitized power system offers more data, details, and controls in a real-time fashion than its non-networked predecessors. However, cyber security vulnerabilities within the ICT infrastructures may allow attackers to manipulate the wide area monitoring systems which depend heavily on the ICT infrastructures and their data transported through communication networks to utility control centres and the operators. Attackers can perform data integrity attacks by exploiting software vulnerabilities to inject false data on cyber components. System resources can also be rendered unavailable through denial of service attacks by congesting the network. Attackers can even launch combined data integrity attacks and availability attacks in a coordinated way. 

In this project, we investigate data attacks on both power system steady-state cases and power system dynamics ones. In the steady-state of power system, risk analysis methods and tools combining vulnerability and impact assessment for combined data attacks against DC/AC State Estimation are proposed to implement risk assessment methodologies. Security metrics is presented in a general framework quantifying attack resources under certain level of adversarial knowledge.  In the power system dynamics, we focus on the robust attack detector development considering nonlinearities of the system and unknown load disturbances through a Load Frequency Control case study. The efficiency of the detector is examined in a realistic framework. 

This project is also working with Dr. Peyman Mohajerin Esfahani from Delft Center for Systems and Control, the Faculty of 3mE, Delft University of Technology and Dr. André Teixeira from Signals and Systems Group, Department of Engineering Sciences, Uppsala University.


Project Team:


K. Pan

Kaikai Pan is a doctoral researcher working towards risk assessment and mitigation of cyber-attacks in smart grids at the Intelligent Electrical Power Grids group. He obtained the B.Eng. and M. Eng. degrees in measuring and control from Beihang University, Beijing, China, in 2012 and 2015, respectively. His current research interests include cyber security of intelligent power grids, risk assessment, attack detection, cyber-physical energy systems and co-simulation techniques.

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