Validation of dynamic line rating model using IEEE738 with digital twin for a power grid

Power lines are prone to congestion due to enhanced electrification and increasing penetration of distributed energy resources, which leads to the optimum utilization of network assets as a short-term alternative for grid expansion. For the optimum utilization of the existing power lines, capacity could be varied dynamically depending on ambient conditions. This article explores the estimation of dynamic line rating procedure using both substation measurements as well as power sensors. A section of a line in a distribution grid in Norway have been analysed with the real data. To evaluate its practicality in the grid operations, the model grid from the Nordic region is further investigated using a real-time simulator and the smart grid control centre platform with synchrophasor visualization options. Results indicate the possibility for a potential trade-off between substation measurements and power neuron for real-time ampacity assessment of the line. Integrating such approach into grid operations via control centre can enables added flexibility for the grid operators to optimize resource utilization, particularly real-time capacity of the network.