Leibniz MMS Days 2020 - Abstract

Plietzsch, Anton

Modelling Renewable Fluctuations in Power Grids as Stochastic Differential Equations

The increasing share of renewable energy resources poses new challenges for the dynamical control of power grids. One major issue is the intermittent infeed of solar and wind power on various time scales. Data analysis has shown the correlated and non-Gaussian stochastic nature of these fluctuations. However, in dynamical simulations power grids are usually modelled as deterministic systems. We show that by including stochastic models for wind and solar power fluctuations the power grid dynamics can be modelled by systems of stochastic differential equations. By using the state-of-the-art differential equation solvers of Julia we are able to develop simulation scenarios that can be used for testing dynamical control schemes under more realistic circumstances.