  As the share of renewable generation in large power systems continues to
increase, the operation of power systems becomes increasingly challenging. The
constantly shifting mix of renewable and conventional generation leads to
largely changing dynamics, increasing the risk of blackouts. We propose to
retune the parameters of the already present controllers in the power systems
to account for the seemingly changing operating conditions. To this end, we
present an approach for fast and computationally efficient tuning of parameters
of structured controllers. The goal of the tuning is to shift system poles to a
specified region in the complex plane, e.g. for stabilization or oscillation
damping. The approach exploits singular value optimization in the frequency
domain, which enables scaling to large systems and is not limited to power
systems. The efficiency of the approach is shown on three systems of increasing
size with multiple initial parameterizations.
