Open AccessCyPhyR: a cyber‐physical analysis tool for measuring and enabling resiliency in microgrids
Author(s) -
Venkataramanan Venkatesh,
Hahn Adam,
Srivastava Anurag
Publication year - 2019
Publication title -
iet cyber‐physical systems: theory and applications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.308
H-Index - 7
ISSN - 2398-3396
DOI - 10.1049/iet-cps.2018.5069
Subject(s) - microgrid , testbed , cyber physical system , reliability engineering , metric (unit) , computer science , electric power system , reliability (semiconductor) , vulnerability (computing) , risk analysis (engineering) , computer security , systems engineering , asset (computer security) , engineering , power (physics) , control (management) , computer network , operations management , operating system , medicine , physics , quantum mechanics , artificial intelligence
This study presents a tool to study the cyber‐physical resiliency (CyPhyR) of critical energy infrastructure system, in particular the effect of cyber attacks on the microgrid's resiliency. The developed tool enables measuring resiliency using data from cyber and physical systems and suggests control decisions for resilient planning and operation of the microgrid. The microgrid resiliency is formulated based on graph theory based indices and cyber‐power system characteristics. A Common Vulnerability Scoring System based metric called the Cyber Asset Impact Potential is developed and used in the planning phase, and another metric, Cyber Impact Severity is introduced to study the system performance in the operational phase. The information from these two phases is provided to the operator to make informed and proactive decisions to ensure the resilient operation of the microgrid. The performance of the developed tool has been tested using comprehensive real‐time cyber‐power testbed for a Consortium for Electric Reliability Technology Solutions microgrid test system.