Otto - Theses

Master Theses (finished)

  • Comparison of network representations for analysing temporal power plant data
    As renewable energy is increasingly used in power generation, the temporal and spatial balance of electric power supply and demand requires large-scale power transmission to maintain. Describing such systems requires network modeling theory. This dissertation takes the German power transmission network as an example and explores the impact of different representations. The representation forms include unweighted network, weighted network, multiplex network and interconnected network. In this dissertation, the static topological characteristics of networks under different representations are examined. Then, the temporal data of the available capacity is also introduced, and a temporal network with the power flow path as the time variable is constructed based on Djikstra’s algorithm. In this research, we find that the weighted network is more suitable for modeling transmission networks than the unweighted network, and the multi-layer network may be more suitable for modeling more complex systems.
    Led by: Anna Malinovskaya, Philipp Otto
    Team: Ruochen Yang
    Year: 2022