Dynamic Capacity Sharing for Cyber–Physical Resilience of EV Charging

Erdem Gümrükcü, Charukeshi Joglekar (), Grace Muriithi, Ali Arsalan, Ahmed Aboulebdeh, Behnaz Papari, Alparslan Zehir, Ferdinanda Ponci () and Antonello Monti
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Erdem Gümrükcü: Eaton Research Labs (ERL), Eaton European Innovation Center, FEN Research Campus, Campus-Boulevard 79, 52074 Aachen, Germany
Charukeshi Joglekar: Fraunhofer Institute for Applied Information Technology, Hüttenstrasse 5, 52068 Aachen, Germany
Grace Muriithi: Automotive Engineering Department, Clemson University, Greenville, SC 29607, USA
Ali Arsalan: Automotive Engineering Department, Clemson University, Greenville, SC 29607, USA
Ahmed Aboulebdeh: Department of Electrical and Electronics Engineering, Faculty of Engineering, Marmara University, 34469 Istanbul, Turkey
Behnaz Papari: Automotive Engineering Department, Clemson University, Greenville, SC 29607, USA
Alparslan Zehir: Department of Electrical and Electronics Engineering, Faculty of Engineering, Marmara University, 34469 Istanbul, Turkey
Ferdinanda Ponci: Institute for Automation of Complex Power Systems, E.ON Energy Research Center, RWTH Aachen University, Mathieustrasse 10, 52074 Aachen, Germany
Antonello Monti: Fraunhofer Institute for Applied Information Technology, Hüttenstrasse 5, 52068 Aachen, Germany

Energies, 2024, vol. 17, issue 24, 1-28

Abstract: Electric vehicle (EV) charging infrastructure hardware–software solutions and communication protocols have inherent vulnerabilities against cyberattacks. Due to the wide range of back doors and infiltration possibilities, there is an important need for solutions that can maintain critical service continuity during incidents. This study proposes a dynamic capacity sharing method for effective use of the constrained grid capacity between neighboring charging clusters in distribution grids when the communication link between the clusters’ operators and the grid operator is disrupted due to hardware faults or cyberattacks. The performance of the developed solution is thoroughly investigated in a Denial-of-Service cyberattack scenario that may take place at different times of the day in realistic scenarios involving residential demand and stochastic EV charging behavior. The analyses validated the effectiveness of the proposed method in improving the deteriorated service level per charging cluster and better utilization of an overall constrained capacity.

Keywords: energy management; power system security; EV smart charging; resilience (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2024
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