Spatio-Temporal Power Outage Risk Prediction for Interdependent Urban Electricity and Drainage Networks Under Rainstorm Disasters

Increasing power outage events triggered by rainstorm disasters have highlighted the urgent need for power outage risk prediction to enhance emergency preparedness. However, due to the tight risk interdependencies between power distribution networks (PDNs) and stormwater drainage networks (SDNs) under rainfall variability, the accurate and efficient power outage risk prediction remains challenging. This paper proposes a spatio-temporal power outage risk method for interdependent PDNs and SDNs triggered by rainstorm disasters to identify high-risk areas over time. Firstly, a multi-network cascading failure model is formulated to characterize the escalated superposition effect between urban waterlogging in SDNs…

• NN
  National Natural Science Foundation of China

  Award: 52277091
• SA
  Science and Technology Program of Hunan Province

  Award: 2024RC1037