Du, XuXuDuEngelmann, AlexanderAlexanderEngelmannJiang, YuningYuningJiangFaulwasser, TimmTimmFaulwasserHouska, BorisBorisHouska2024-03-052024-03-052020IFAC-PapersOnLine 53 (2): 13311-13316 (2020)https://hdl.handle.net/11420/46209The integration of renewables into electrical grids calls for the development of tailored control schemes which in turn require reliable grid models. In many cases, the grid topology is known but the actual parameters are not exactly known. This paper proposes a new approach for online parameter estimation in power systems based on optimal experimental design using multiple measurement snapshots. In contrast to conventional approaches, our method computes optimal excitations extracting the maximum information in each estimation step to accelerate convergence. The performance of the proposed method is illustrated with a case study.en2405-8963202021331113316IFACOptimal Experiment DesignPower system parameter estimationComputer SciencesNatural Resources, Energy and EnvironmentMathematicsConference Paper10.1016/j.ifacol.2020.12.163Other