TY  - JOUR
AU  - Karki, Rajesh
AU  - Adhikari, Binamra
PY  - 2024
DA  - 2024/08/07
TI  - Probabilistic Modeling of Cyber-Physical Microgrid Systems to Evaluate the Reliability and Resiliency Implications of Cyber Attacks
JO  - Journal of Energy and Power Technology
SP  - 015
VL  - 06
IS  - 03
AB  - The integration of cyber and physical layer of the grid has not only introduced a microscopic spectacle to observe and ensure the efficient flow of electricity but has also exposed the interdependencies of the network. These cyber-physical interdependencies are often exploited in the form of cyber-attacks that can disable a grid introducing substantial financial losses and observable social repercussions. Thus, it is important to address the impending Achilles heel by devising pragmatic approaches to comprehensibly upgrade the grid preventing huge financial and societal repercussions. In this regard, this paper proposes important methodologies in assessing the resiliency of a smart microgrid enabled distribution system in case of a cyber-attack and also steers discussion towards mitigation strategies and their influence in increasing the reliability and resiliency of the system. While doing so, it also aims to clarify the different principles of reliability and resiliency assessment. The paper describes an efficient bad-data detection strategy and its necessity in improving the reliability and resiliency of the system. The paper finds that a precipitous drop in reliability and resiliency is observed which can be effectively mitigated by the deployment of bad-data detection strategies and proposes efficient resiliency assessment methodologies to conduct similar studies.
SN  - 2690-1692
UR  - https://doi.org/10.21926/jept.2403015
DO  - 10.21926/jept.2403015
ID  - Karki2024
ER  -