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@ARTICLE{Gorjao:872867,
author = {Gorjao, Leonardo Rydin and Anvari, Mehrnaz and Kantz,
Holger and Beck, Christian and Witthaut, Dirk and Timme,
Marc and Schafer, Benjamin},
title = {{D}ata-driven model of the power-grid frequency dynamics},
journal = {IEEE access},
volume = {8},
issn = {2169-3536},
address = {New York, NY},
publisher = {IEEE},
reportid = {FZJ-2020-00333},
pages = {43082 - 43097},
year = {2020},
abstract = {The energy system is rapidly changing to accommodate the
increasing number of renewable generators and the general
transition towards a more sustainable future.
Simultaneously, business models and market designs evolve,
affecting power-grid operation and power-grid frequency.
Problems raised by this ongoing transition are increasingly
addressed by transdisciplinary research approaches, ranging
from purely mathematical modelling to applied case studies.
These approaches require a stochastic description of
consumer behaviour, fluctuations by renewables, market
rules, and how they influence the stability of the
power-grid frequency. Here, we introduce an easy-to-use,
data-driven, stochastic model for the power-grid frequency
and demonstrate how it reproduces key characteristics of the
observed statistics of the Continental European and British
power grids. Using data analysis tools and a Fokker–Planck
approach, we estimate parameters of our deterministic and
stochastic model. We offer executable code and guidelines on
how to use the model on any power grid for various
mathematical or engineering applications.},
cin = {IEK-STE},
ddc = {621.3},
cid = {I:(DE-Juel1)IEK-STE-20101013},
pnm = {153 - Assessment of Energy Systems – Addressing Issues of
Energy Efficiency and Energy Security (POF3-153)},
pid = {G:(DE-HGF)POF3-153},
typ = {PUB:(DE-HGF)16},
UT = {WOS:000524706500022},
doi = {10.1109/ACCESS.2020.2967834},
url = {https://juser.fz-juelich.de/record/872867},
}