For a grid operator, managing a crisis caused by a storm requires predicting damage in order to size the response teams to best effect.
Our solution is to predict the impact of a storm on the overhead lines (electrical grid, railway, telecom,...) for up to 4 days using a reliability model. A HMI displays the forecast results intuitively on maps and graphs. Since forecasts are subject to a certain degree of uncertainty, they are associated with a confidence interval. The model was tested successfully on the French grid, having been “taught” from a history of nearly 60 storms. The methodology adapts to any type of electricity grid.
The calculated indicators are used to:
- Reduce the resupply time following an incident
- Reduce the amount of undistributed energy and the associated costs
- Improve management of operating agents and resources during a storm.
