TY  - JOUR
AU  - Anvari, Mehrnaz
AU  - Gorjão, Leonardo Rydin
AU  - Timme, Marc
AU  - Witthaut, Dirk
AU  - Schäfer, Benjamin
AU  - Kantz, Holger
TI  - Stochastic properties of the frequency dynamics in real and synthetic power grids
JO  - Physical review research
VL  - 2
IS  - 1
SN  - 2643-1564
CY  - College Park, MD
PB  - APS
M1  - FZJ-2020-01578
SP  - 013339
PY  - 2020
AB  - The frequency constitutes a key state variable of electrical power grids. However, as the frequency is subject to several sources of fluctuations, ranging from renewable volatility to demand fluctuations and dispatch, it is strongly dynamic. Yet, the statistical and stochastic properties of the frequency fluctuation dynamics are far from fully understood. Here we analyze properties of power-grid frequency trajectories recorded from different synchronous regions. We highlight the non-Gaussian and still approximately Markovian nature of the frequency statistics. Furthermore, we find that the frequency displays significant fluctuations exactly at the time intervals of regulation and trading, confirming the need of having a regulatory and market design that respects the technical and dynamical constraints in future highly renewable power grids. Finally, employing a recently proposed synthetic model for the frequency dynamics, we combine our statistical and stochastic analysis and analyze in how far dynamically modeled frequency properties match the ones of real trajectories.
LB  - PUB:(DE-HGF)16
UR  - <Go to ISI:>//WOS:000602699100003
DO  - DOI:10.1103/PhysRevResearch.2.013339
UR  - https://juser.fz-juelich.de/record/874662
ER  -