Fast Estimation of Relations Between Aggregated Train Power System Data and Traffic Performance

摘要: Transports via rail are increasing, and major railway infrastructure investments expected. An important part of this is the power supply system (RPSS). Future demands not known. The more distant uncertain future, greater number scenarios that have to be considered. Large numbers make time-demanding (some minutes, each) full simulations electric systems less attractive simplifications so. aim, main contribution, paper propose a fast approximator uses aggregated traction information as inputs outputs. This can used an investment planning constraint in optimization. It considers there limit on intensity train traffic, depending strength system. approach has previously been encountered literature. In numerical example paper, configuration; distance between connection from contact line public grid, another connection, or end line; average values standard deviations inclinations railway; trains; their velocity for distance. output maximal attainable added described section. facilitates studies many future loading scenarios, combined with different configurations, analysis. based neural networks. additional value it provides understanding relations configuration traffic performance.