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Dynamic line rating (DLR) models the transmission capacity of overhead linesas a function of ambient conditions. It takes advantage of the physical thermalproperty of overhead line conductors, thus making DLR less conservativecompared to the traditional worst-case oriented nominal line rating (NLR).Employing DLR brings potential benefits for grid integration of variableRenewable Energy Sources (RES), such as wind and solar energy. In this paper,we reproduce weather conditions from renewable feed-ins and local temperaturerecords, and calculate DLR in accordance with the RES feed-in and load demanddata step. Simulations with high time resolution, using a predictive dispatchoptimization and the Power Node modeling framework, of a six-node benchmarkpower system loosely based on the German power system are performed for thecurrent situation, using actual wind and PV feed-in data. The integrationcapability of DLR under high RES production shares is inspected throughsimulations with scaled-up RES profiles and reduced dispatchable generationcapacity. The simulation result demonstrates a comparison between DLR and NLRin terms of reductions in RES generation curtailments and load shedding, whilediscussions on the practicality of adopting DLR in the current power system isgiven in the end.

Impact of Dynamic Line Rating on Dispatch Decisions and Integration of Variable RES Energy