Resiliency Metrics for Monitoring and Analysis of Cyber-Power Distribution System with IoTs

• DOI: 10.36227/techrxiv.17695778
• Publication Date: 2021-12-29T04:24:27Z
• Authors: Partha S. Sarker; Sajan K Sadanandan; Anurag K. Srivastava
• Keywords: Resilience

<div>The electric grid operation is constantly threatened with natural disasters and cyber intrusions. The introduction of Internet Things (IoTs) based distributed energy resources (DERs) in the distribution system provides opportunities for flexible services to enable efficient, reliable resilient operation. At same time, IoT DERs comes vulnerabilities requires cyber-power resiliency analysis IoT-integrated system. This work focuses on developing metrics monitoring system, while maintaining consumers’ privacy. Here, refers system’s ability keep providing critical load even adverse events. In developed Distribution System Resiliency (DSR) metric, Trustability Score (ITS) considers effects IoTs using a neural network federated learning. ITS other factors impacting are integrated into single metric Fuzzy Multiple-Criteria Decision Making (F-MCDM) compute Primary level Node (PNR). Finally, DSR computed by aggregating PNR all primary nodes attributes topology utilizing game-theoretic Data Envelopment Analysis (DEA) optimization. will be valuable i) considering holistic model; ii) enabling data privacy not raw user data; iii) better decision-making select best possible mitigation strategies towards ITS, PNR, have been validated multiple case studies IoTs-integrated IEEE 123 node satisfactory results.</div>