Fragility curve based storm modelling of distribution networks with staff constraints

Abstract

Normally reliable distribution systems often are at their most unreliable during storms. High winds can cause significant damage to overhead lines. The high number of faults can block normal paths to reconfigure the network to restore supply to customers meaning that faults can have a significantly higher impact than if they occurred during normal network operation. Unfortunately, the high number of faults means that network operators are unable to repair all faults simultaneously, prioritising those repairs that will benefit the most customers. While many studies have focused on the damage done by a storm, the recovery after a storm is often modelled using high level assumptions around aver..