A risk management framework for power distribution networks undergoing a typhoon disaster

Abstract

With the increasing distribution network accidents caused by typhoon disasters, risk management in typhoon scenarios is necessary. A risk management framework for power distribution networks (PDNs) undergoing a typhoon disaster is proposed. First, a risk prediction model of the PDN under typhoon conditions based on the Batts model is developed to predict the loss of load risk (LLR) index and economic loss risk (ELR) index of the PDN before the typhoon lands. Then, a vulnerability index of overhead lines, considering the failure frequency of specific overhead lines and their load importance, is introduced for use in a weak link identification model to identify weak links in the PDN. Finally, a two‐time‐step risk relief model based on typhoon forecast information and the identified weak links is developed to allocate PDN relief materials to reduce the LLR and ELR during a typhoon disaster. An IEEE RBTS BUS6 system is employed as a test system to verify the risk management strategy. The vulnerability index proposed by the strategy considers both the importance of load and line failure. The risk management strategy adopts a two‐time‐step model, which reduces the impact of meteorological forecast errors and enables more efficient use of materials. The results show that the proposed framework can take more effective use of relief materials to reduce the loss of PDNs compared with the traditional strategy.

Resilience-oriented repair crew and network reconfiguration coordinated operational scheduling for post-event restoration

“…Typhoons are one of the most frequently occurring extreme disasters. Mu et al (2022), using the classic Batts typhoon model, obtained time-varying wind speed curves at various points of the lines. Combining the vulnerability model of distribution network components, they generated fault scenarios using a non-time-series Monte Carlo simulation method.…”

Imagining and assessing future risks: A dynamic scenario‐based social vulnerability analysis framework for disaster planning and response

“…In the context of the complex and cascading nature of modern disasters, anticipating and preparing for the snowballing multihazard risks requires a comprehensive, multihazard and multivulnerability risk assessment involving complex scenarios (Birkmann et al, 2013; Girgin et al, 2019). Scenario‐based assessments offer unique opportunity for analysing impacts of different conditions of disasters (e.g., Baxter et al, 2008; Mu et al, 2021) and vulnerability risks related to the response of citizens, authorities and the physical environment (Kolen & Helsloot, 2012). However, so far there is limited analysis regarding the opportunities for using scenario techniques in vulnerability research to overcome the uncertainty and complexity of factors determining the outcome of future disasters (Birkmann, 2013).…”