Leveraging the Existing German Transmission Grid with Dynamic Line Rating
For energy system planners and policymakers, DLR offers a non-invasive, cost-effective alternative to grid expansion for integrating renewable energy and reducing congestion.
This study presents the first investment model incorporating Dynamic Line Rating (DLR) in a large-scale power system with real-world network data. For Germany, DLR reduces total system costs by 3% at 80% renewable penetration and up to 5.5% (4 billion Euro/year) in a fully decarbonized system, primarily by lowering storage and solar capacity needs.
The integration of large shares of wind and solar power into the power system benefits from transmission network expansion. However, the construction of new power lines requires long planning phases and is often delayed by citizen protests. As a non-invasive alternative, Dynamic Line Rating (DLR) offers the potential to leverage the existing grid by dynamically adjusting the transmission line capacities to the prevailing weather conditions. In this study, we present the first investment model that includes DLR in a large-scale power system with real-world network data and a high temporal resolution. Using Germany as an example, we show that a system-wide integration of DLR improves the integration of existing and additional renewables while reducing grid congestion. The evolving synergies between DLR and increased wind generation result in total cost savings of about 3% of all system costs for a scenario with 80% renewable power production, mainly due to reduced storage and solar capacity needs. If considering a fully decarbonized electricity system, the cost savings from DLR amount to up to 5.5% of the system costs, i.e. 4 billion Euro per year. Our results underscore the importance of a rapid implementation of DLR in power systems to support the energy transition and relieve grid congestion.