Abstract
In this paper we present an ongoing project in which the high voltage distribution grid of Elvia, a Norwegian DSO, with 3200 km of lines, will be monitored using overhead line sensors (Heimdall Power’s Neurons) and advanced software (Heimdall Cloud).
Result from the first two months of monitoring of a transmission corridor show that there is significant spare capacity in the line most of the time, but that DLR purely based on weather forecasts, overestimates the capacity a large part of the time, compared to the sensor-based DLR. A method to visualise hosting capacity based on DLR is presented, and preliminary results show that in order to really exploit the benefits of DLR for hosting capacity increase at the distribution level, active grid management must evolve to allow for situations where the expected base-line load can become higher than the capacity for a certain percentage of the time.
Result from the first two months of monitoring of a transmission corridor show that there is significant spare capacity in the line most of the time, but that DLR purely based on weather forecasts, overestimates the capacity a large part of the time, compared to the sensor-based DLR. A method to visualise hosting capacity based on DLR is presented, and preliminary results show that in order to really exploit the benefits of DLR for hosting capacity increase at the distribution level, active grid management must evolve to allow for situations where the expected base-line load can become higher than the capacity for a certain percentage of the time.
