Cyber Resilient Design and Controls for Energy Systems

Conference · Wed Oct 05 04:00:00 EDT 2022

OSTI ID:1891867

Macwan, Richard

As the grid of today is evolving into a highly distributed and autonomous cyber-physical system with higher penetration of Distributed Energy Resources (DERs) and autonomous controls that are dependent on the cyber infrastructure, there are novel and increasing challenges to cyber-resilient operation of the grid. While the traditional mechanisms take a "bolt on" approach to cybersecurity and resiliency, this talk presents two novel technologies developed at NREL that "bake in" security and resilience into the design and control of the grid. An Adaptive Resilience Metrics framework is a novel mechanism for system owners and operators to understand the impact of cyber and physical system design and topology on the resilient operation, while also helping determine optimal policies in response to adverse cyber events. Along with that a zero-knowledge proof-based technique helps incorporate security into the controls layer by focusing on computational integrity rather than data integrity. By leveraging design and control properties unique to Operational Technology systems these technologies will not only help enhance cyber-resilience for the grid of today, but a highly distributed and autonomous grid of tomorrow.

• Research Organization: National Renewable Energy Laboratory (NREL), Golden, CO (United States)
• Sponsoring Organization: USDOE National Renewable Energy Laboratory (NREL), Laboratory Directed Research and Development (LDRD) Program
• DOE Contract Number: AC36-08GO28308
• OSTI ID: 1891867
• Report Number(s): NREL/PR-5R00-83978; MainId:84751; UUID:0f7d5161-dee1-414e-8f7a-0df952219071; MainAdminID:67727
• Country of Publication: United States
• Language: English

Related Subjects

MATHEMATICS AND COMPUTING
POWER TRANSMISSION AND DISTRIBUTION
cyber resilience
cyber resilient controls
cyber resilient design
cybersecurity
reinforcement learning
zero knowledge proofs