Predictive Power Dispatch for the Integration of High Renewable Shares Incorporating Dynamic Line Rating Semester Thesis

In this thesis, the impact of dynamic line rating (DLR) on the power dis-patch of power system with high penetration of renewable energy sources generation is assessed. Methods to calculate the DLR and conductor’s sur-face temperature are presented, the effect of different ambient parameters on the DLR both in steady-state and as well as the transient behaviour is discussed. A power dispatch simulation with a time step of 15 minutes, using model predictive control and the Power Node modeling framework, of a six-node benchmark system loosely based on the German power system is performed with both nominal line rating (NLR) and DLR, using both actual wind and PV in-feed data and scaled generation data. Besides, methods used to acquire or reconstruct load, generation and ambient condition data used in the simulation are also introduced. The simulation results are compared and analyzed with the objective to assess how much DLR can improve th