Improving Grid Resilience and Reliability Through Dynamic Line Rating During Ice Precipitating Conditions

Ahstract-A significant aspect of global decarbonization efforts hinges on expanding electric transmission capacity to accommodate renewable energy sources. Within this context, dynamic line rating (DLR) systems for overhead lines present an opportunity to enhance the flexibility of power grids while utilizing existing infrastructure. Specifically, during ice-precipitating conditions, the combined effect of lower ambient temperatures and ice buildup on the conductor aids in maintaining a lower conductor temperature, allowing for increased current flow. This research introduces an innovative approach for estimating line ratings during icing conditions. Unlike previous methods, our approach accurately accounts for temperature variations and incorporates the clouding effect during precipitation events. By addressing these variables, we seek to enhance current methodologies for estimating line ratings in adverse weather conditions. To validate the efficacy of our proposed method, we conduct experiments using real-world weather data and line current measurements under both precipitating and non-precipitating conditions. Through these experiments, we illustrate the effectiveness of our approach in accurately estimating line ratings during icing events, thus improving the reliability and efficiency of power line operations during adverse weather conditions.