DOE OSTI · 2565937
Advanced Computational Techniques for Improving Resilience of Critical Energy Infrastructure under Cyber-Physical Attacks
Abstract
In this chapter, we present recent advances in improving the resilience of cyber-physical systems, especially with regards to energy systems. We provide discussions around various types of cyber-physical events that can cause disruptions and new advances in optimization, control, and reinforcement learning (RL) to deal with the challenges posed by such cyber-physical events. The presented methods range from distributed robust optimization, autonomous and coordinated control, reinforcement learning based resilient control and topology reconfiguration in Inter-System resilient control.
Keep this discovery
Explore connections, maps & timelines
Nazir, Mohammad Nawaf [BATTELLE (PACIFIC NW LAB)], Nandanoori, Sai Pushpak [BATTELLE (PACIFIC NW LAB)] (ORCID:0000000280065394), Vu, Thanh Long [BATTELLE (PACIFIC NW LAB)], Mukherjee, Sayak [BATTELLE (PACIFIC NW LAB)], Kundu, Soumya [BATTELLE (PACIFIC NW LAB)] (ORCID:0000000215758557), Adetola, Veronica A. [BATTELLE (PACIFIC NW LAB)]. 2024-12-16. Advanced Computational Techniques for Improving Resilience of Critical Energy Infrastructure under Cyber-Physical Attacks. https://doi.org/10.1201/9781003559993-13
Cite the original work for its findings. Save a collection to share your selection of sources.