Universität zu Köln

Gorjao, Leonardo Rydin, Anvari, Mehrnaz, Kantz, Holger ORCID: 0000-0001-6921-6094, Beck, Christian ORCID: 0000-0002-4818-6997, Witthaut, Dirk ORCID: 0000-0002-3623-5341, Timme, Marc ORCID: 0000-0002-5956-3137 and Schaefer, Benjamin (2020). Data-Driven Model of the Power-Grid Frequency Dynamics. IEEE Access, 8. S. 43082 - 43098. PISCATAWAY: IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC. ISSN 2169-3536

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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.

Item Type:	Journal Article
Creators:	Creators Email ORCID ORCID Put Code Gorjao, Leonardo Rydin UNSPECIFIED UNSPECIFIED UNSPECIFIED Anvari, Mehrnaz UNSPECIFIED UNSPECIFIED UNSPECIFIED Kantz, Holger UNSPECIFIED orcid.org/0000-0001-6921-6094 UNSPECIFIED Beck, Christian UNSPECIFIED orcid.org/0000-0002-4818-6997 UNSPECIFIED Witthaut, Dirk UNSPECIFIED orcid.org/0000-0002-3623-5341 UNSPECIFIED Timme, Marc UNSPECIFIED orcid.org/0000-0002-5956-3137 UNSPECIFIED Schaefer, Benjamin UNSPECIFIED UNSPECIFIED UNSPECIFIED
URN:	urn:nbn:de:hbz:38-351028
DOI:	10.1109/ACCESS.2020.2967834
Journal or Publication Title:	IEEE Access
Volume:	8
Page Range:	S. 43082 - 43098
Date:	2020
Publisher:	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Place of Publication:	PISCATAWAY
ISSN:	2169-3536
Language:	English
Faculty:	Unspecified
Divisions:	Unspecified
Subjects:	no entry
Uncontrolled Keywords:	Keywords Language SYSTEM Multiple languages Computer Science, Information Systems; Engineering, Electrical & Electronic; Telecommunications Multiple languages
URI:	http://kups.ub.uni-koeln.de/id/eprint/35102