Regensburg 2019 – wissenschaftliches Programm
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DY: Fachverband Dynamik und Statistische Physik
DY 46: Energy Networks (joint SOE/DY) (joint session SOE/DY)
DY 46.3: Vortrag
Donnerstag, 4. April 2019, 12:00–12:15, H17
Understanding power-grid-frequency dynamics with stochastic modelling: The influence of the electricity market — •Leonardo Rydin Gorjäo1,2, Mehrnaz Anvari3, Holger Kantz3, Marc Timme4,5, Benjamin Schäfer4,5, and Dirk Witthaut1,2 — 1Forschungszentrum Jülich, Institute for Energy and Climate Research - Systems Analysis and Technology Evaluation (IEK-STE), 52428 Jülich, Germany — 2Institute for Theoretical Physics, University of Cologne, 50937 Köln, Germany — 3Max–Planck Institute for the Physics of Complex Systems, 01187 Dresden, Germany — 4Chair for Network Dynamics, Center for Advancing Electronics Dresden (cfaed) and Institute for Theoretical Physics, Technical University of Dresden, 01062 Dresden, Germany — 5Network Dynamics, Max Planck Institute for Dynamics and Self-Organization (MPIDS), 37077 Göttingen, Germany
The ongoing energy transition transforms the power system by introducing additional fluctuations via intermittent renewable energy generation To evaluate the various proposed strategies of implementation of renewable energy generation and the impact of market design on the power grid’s stability, a solid understanding of the power grid dynamics, specifically its frequency, is necessary. A pure empirical study on existing power grids is limited due to their small number, limited available data and high costs of implementing control and market schemes in real grids. Our model allows predictions of the frequency statistics for diverse power grids and ultimately enables us to quantify the impact of control proposals and market designs.