TY - GEN
T1 - A Cyber-Resilience Risk Management Architecture for Distributed Wind
AU - Culler, Megan J.
AU - Morash, Sean
AU - Smith, Brian
AU - Cleveland, Frances
AU - Gentle, Jake
N1 - Funding Information:
This research was sponsored by the Department of Energy (DOE) Wind Energy Technologies Office (WETO) under DOE Idaho Operations Office Contract DE-AC07-05ID14517. The views and opinions of the authors expressed herein do not necessarily state or reflect those of the U.S. Government of any agency thereof.
Publisher Copyright:
© 2021 IEEE.
PY - 2021/10/21
Y1 - 2021/10/21
N2 - Distributed wind is an electric energy resource segment with strong potential to be deployed in many applications, but special consideration of resilience and cybersecurity is needed to address the unique conditions associated with distributed wind. Distributed wind is a strong candidate to help meet renewable energy and carbon-free energy goals. However, care must be taken as more systems are installed to ensure that the systems are reliable, resilient, and secure. The physical and communications requirements for distributed wind mean that there are unique cybersecurity considerations, but there is little to no existing guidance on best practices for cybersecurity risk management for distributed wind systems specifically. This research develops an architecture for managing cyber risks associated with distributed wind systems through resilience functions. The architecture takes into account the configurations, challenges, and standards for distributed wind to create a risk-focused perspective that considers threats, vulnerabilities, and consequences. We show how the resilience functions of identification, preparation, detection, adaptation, and recovery can mitigate cyber threats. We discuss common distributed wind architectures and interconnections to larger power systems. Because cybersecurity cannot exist independently, the cyber-resilience architecture must consider the system holistically. Finally, we discuss risk assessment recommendations with special emphasis on what sets distributed wind systems apart from other distributed energy resources (DER).
AB - Distributed wind is an electric energy resource segment with strong potential to be deployed in many applications, but special consideration of resilience and cybersecurity is needed to address the unique conditions associated with distributed wind. Distributed wind is a strong candidate to help meet renewable energy and carbon-free energy goals. However, care must be taken as more systems are installed to ensure that the systems are reliable, resilient, and secure. The physical and communications requirements for distributed wind mean that there are unique cybersecurity considerations, but there is little to no existing guidance on best practices for cybersecurity risk management for distributed wind systems specifically. This research develops an architecture for managing cyber risks associated with distributed wind systems through resilience functions. The architecture takes into account the configurations, challenges, and standards for distributed wind to create a risk-focused perspective that considers threats, vulnerabilities, and consequences. We show how the resilience functions of identification, preparation, detection, adaptation, and recovery can mitigate cyber threats. We discuss common distributed wind architectures and interconnections to larger power systems. Because cybersecurity cannot exist independently, the cyber-resilience architecture must consider the system holistically. Finally, we discuss risk assessment recommendations with special emphasis on what sets distributed wind systems apart from other distributed energy resources (DER).
KW - cybersecurity
KW - distributed energy resource
KW - distributed wind
KW - resilience
UR - https://ieeexplore.ieee.org/document/9611786/
UR - https://www.scopus.com/pages/publications/85123307322
UR - https://www.mendeley.com/catalogue/dac04326-58a6-3adc-b0d0-80986706c8e0/
U2 - 10.1109/RWS52686.2021.9611786
DO - 10.1109/RWS52686.2021.9611786
M3 - Conference contribution
SN - 978-1-6654-2906-1
T3 - 2021 Resilience Week, RWS 2021 - Proceedings
SP - 1
EP - 8
BT - 2021 Resilience Week (RWS)
PB - IEEE
T2 - 2021 Resilience Week (RWS)
Y2 - 18 October 2021 through 21 October 2021
ER -