KAPSARC – AI-Based Dynamic Line Rating for Enhancing Renewables-Gas Complementarity in the Power Sector

The document focuses on the use of AI-based Dynamic Line Rating (DLR) to enhance the integration of renewables and gas in the power sector.

Key findings include that DLR offers a cost-effective, data-driven solution to increase transmission line capacity based on real-time weather conditions. The model presented allows for the prediction of overhead transmission line thermal capacity, ensuring safe operation. In simulations for Saudi Arabia, wind speed is a key factor for increasing line thermal capacity. DLR can double the static capacity of lines, which is particularly beneficial for wind-rich regions in Saudi Arabia. This improvement facilitates greater integration of renewables and more efficient power distribution, leading to a reduction in variable electricity costs by up to 3% annually and a decrease in renewable curtailment by up to 46% in a 2030 scenario for Saudi Arabia. DLR reduces natural gas usage, aiding Saudi Arabia's energy transition through enhanced grid efficiency.