School of Mathematical Sciences

Power Grids as Dynamical Systems: Recent Progress and a Data-Driven Approach using Superstatistics menu

Power Grids as Dynamical Systems: Recent Progress and a Data-Driven Approach using Superstatistics

Speaker: 
Benjamin Schaefer (MPI Goettingen)
Date/Time: 
Tue, 21/11/2017 - 16:00
Room: 
W316
Seminar series: 

The Paris conference 2015 set a path to limit climate change to "well below 2°C". To reach this goal, integrating renewable energy sources into the electrical power grid is essential but poses an enormous challenge to the existing system, demanding new conceptional approaches. In this talk, I outline some pressing challenges to the power grid,
highlighting how methods from Mathematics and Physics can potentially support the energy transition.
In particular, I present our latest research on power grid fluctuations and how they threaten robust grid operation. For our analysis, we collected frequency recordings from power grids in North America, Europe and Japan, noticing significant deviations from Gaussianity. We develope a coarse framework to analytically characterize the impact of arbitrary noise distributions as well as a superstatistical approach. Overall, we identify energy trading as a significant contribution to today's frequency fluctuation and effective damping of the grid as a controlling factor to reduce fluctuation risks.