Over the last few years there has been a significant push from FERC to move from static seasonal transmission line ratings to ambient-adjusted ratings (AAR) considering the impacts of the temperature each hour of the day and dynamic line ratings (DLR) which also considers predicted wind and solar heating of conductors. The ultimate goal of FERC has been to free up additional capacity that was theoretically available much of the year due to conservative line ratings. As utilities have started to implement AAR (required by this summer) and preparing for DLR (presently in FERC rulemaking process), it has become clear that while AAR and DLR provide additional capacity at times, they may also require reduced capacity at other times, often during the hottest days with peak solar exposure and less wind when the grid could use the most capacity. This panel will include a few utilities and other related parties discussing their journey into DLR and how results may vary based on previous ratings processes and the willingness to be aggressive or desire to stay conservative on assumptions and predicted weather data.

Over the last few years there has been a significant push from FERC to move from static seasonal transmission line ratings to ambient-adjusted ratings (AAR) considering the impacts of the temperature each hour of the day and dynamic line ratings (DLR) which also considers predicted wind and solar heating of conductors. The ultimate goal of FERC has been to free up additional capacity that was theoretically available much of the year due to conservative line ratings. As utilities have started to implement AAR (required by this summer) and preparing for DLR (presently in FERC rulemaking process), it has become clear that while AAR and DLR provide additional capacity at times, they may also require reduced capacity at other times, often during the hottest days with peak solar exposure and less wind when the grid could use the most capacity. This panel will include a few utilities and other related parties discussing their journey into DLR and how results may vary based on previous ratings processes and the willingness to be aggressive or desire to stay conservative on assumptions and predicted weather data.