  The 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 methods, our method computes optimal
excitations extracting the maximum information in each estimation step to
accelerate convergence. The performance of the proposed method is illustrated
on a case study.
