Cross-Layer Distributed Control Strategy for Cyber Resilient Microgrids
- 29 March 2021
- journal article
- research article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Smart Grid
- Vol. 12 (5) , 3705-3717
Abstract
The widespread adoption of communication and control infrastructures will not only improve the microgrid system performance in normal conditions but also increase microgrid cybersecurity risks. Potential cyberattacks can deteriorate microgrid performances by corrupting and intercepting data exchanges among participating DERs, whereby microgrids deviate from desired operating conditions and stable microgrid operations are jeopardized. In this paper, a cross-layer control strategy is proposed to enhance the microgrid resilience against false data injection (FDI) and denial of service (DoS) attacks. On the one hand, the proposed control strategy will not interfere with microgrid normal operations when there are no cyberattacks. On the other hand, the proposed control strategy can effectively mitigate the impacts of FDI and DoS attacks on microgrids without relying on prompt detection and isolation of cyberattacks. The stability of the proposed control strategy is demonstrated using the Lyapunov theory under different scenarios, including without and with FDI and DoS attacks. The effectiveness of the proposed cross-layer resilient control strategy against cyberattacks is validated in a 12-bus microgrid system using time-domain PSCAD/EMTDC simulations.Keywords
Funding Information
- National Natural Science Foundation of China (51777062)
- Deanship of Scientific Research (DSR) at King Abdulaziz University (RG-10-135-41)
This publication has 46 references indexed in Scilit:
- Optimal Operation for Community-Based Multi-Party Microgrid in Grid-Connected and Islanded ModesIEEE Transactions on Smart Grid, 2016
- Breaking the Hierarchy: Distributed Control and Economic Optimality in MicrogridsIEEE Transactions on Control of Network Systems, 2015
- Secondary Frequency and Voltage Control of Islanded Microgrids via Distributed AveragingIEEE Transactions on Industrial Electronics, 2015
- Risk-Sensitive Control Under Markov Modulated Denial-of-Service (DoS) Attack StrategiesIEEE Transactions on Automatic Control, 2015
- Detecting False Data Injection Attacks in AC State EstimationIEEE Transactions on Smart Grid, 2015
- Classical converse theorems in Lyapunov's second methodDiscrete and Continuous Dynamical Systems-Series B, 2015
- Quickest Detection of False Data Injection Attack in Wide-Area Smart GridsIEEE Transactions on Smart Grid, 2014
- Machine learning approach for detection of flooding DoS attacks in 802.11 networks and attacker localizationInternational Journal of Machine Learning and Cybernetics, 2014
- Detection of Faults and Attacks Including False Data Injection Attack in Smart Grid Using Kalman FilterIEEE Transactions on Control of Network Systems, 2014
- Attack Detection and Identification in Cyber-Physical SystemsIEEE Transactions on Automatic Control, 2013