2019/11/18 by Ahmed Imteaj, Imteaj, Ahmed, M. Hadi Amini +3
Computer Science · Engineering · Mathematics · #Artificial Intelligence (cs.AI) #Distributed #FOS: Computer and information sciences #FOS: Mathematics #Infrastructure Resilience and Vulnerability Analysis #Multiagent Systems (cs.MA) #Optimization and Control (math.OC) #Parallel #Power System Reliability and Maintenance #Smart Grid Security and Resilience #and Cluster Computing (cs.DC) #cs.AI #cs.DC #cs.MA #math.OC
paper · pdf · doi:10.48550/arxiv.1911.07690
arxiv created 2019/11/18 · openalex publication_date 2019/11/18 · arxiv updated 2019/11/19 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
This paper reintroduces the notion of resilience in the context of recent issues originated from climate change triggered events including severe hurricanes and wildfires. A recent example is PG&E's forced power outage to contain wildfire risk which led to widespread power disruption. This paper focuses on answering two questions: who is responsible for resilience? and how to quantify the monetary value of resilience? To this end, we first provide preliminary definitions of resilience for power systems. We then investigate the role of natural hazards, especially wildfire, on power system resilience. Finally, we will propose a decentralized strategy for a resilient management system using distributed storage and demand response resources. Our proposed high fidelity model provides utilities, operators, and policymakers with a clearer picture for strategic decision making and preventive decisions.