Towards Resilient Cyber-Physical Energy Systems
Name
Resilience_Alefiya_Anu_Stefanos.pdf
Description
main article
Size
1.97 MB
Format
Adobe PDF
Checksum (MD5)
30be4a7d07daded506ee702f5cd97e48
Author(s)
Baros, Stefanos
Shiltz, Dylan
Jaipuria, Prateek
Hussain, Alefiya
Annaswamy, Anuradha M.
Date Issued
March 14, 2017
Abstract
In this paper, we develop a system-of-systems framework to address cyber-physical resilience, the ability to withstand the combined presence of both cyber attacks and physi-cal faults. This framework incorporates a definition of re-silience, a resilience metric as well as a resilient control de-sign methodology. The resilient control architecture utilizes a hybrid optimal control methodology combined with a dy-namic regulation market mechanism (DRMM), and is evalu-ated in the context of frequency regulation at a transmission grid. The framework enables the evaluation of both the clas-sical robust control properties and emerging resilient control properties under both cyber attacks and physical faults. The proposed framework is used to assess resilience of a Cyber-Physical Energy System (CPES) when subjected to both cyber and physical faults via DETERLab. DETERLab, a testbed capable of emulating high fidelity, cybersecure, net-worked systems, is used to construct critical scenarios with physical faults emulated in the form of generator outages and cyber faults emulated in the form of Denial of Service (DoS) attacks. Under these scenarios, the resilience and per-formance of a CPES that is comprised of 56 generators and 99 consumers is evaluated using the hybrid-DRMM control methodology.
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