Hyperlocal Forecasting with Sensor Feedback for Reduced Uncertainty in Dynamic Line Rating

To increase capacity and improve utilization on existing transmission lines more quickly and at lower cost than physical upgrades to infrastructure, utilities can make use of a dynamic line rating (DLR). Traditional static and seasonal ratings use a minimal amount of data and so are intentionally set conservatively. Alternatively, generating a DLR uses as much information as possible to try to best approximate the true capacity of a line as it varies over time. The formulas used to calculate the rating are functions of conductor properties and meteorological variables.