Deutsch
 
Hilfe Datenschutzhinweis Impressum
  DetailsucheBrowse

Datensatz

DATENSATZ AKTIONENEXPORT
  Data-Driven Model of the Power-Grid Frequency Dynamics

Gorjao, L. R., Anvari, M., Kantz, H., Beck, C., Witthaut, D., Timme, M., et al. (2020). Data-Driven Model of the Power-Grid Frequency Dynamics. IEEE Access, 8, 43082-43097. doi:10.1109/ACCESS.2020.2967834.

Item is

Basisdaten

einblenden: ausblenden:
Genre: Zeitschriftenartikel

Externe Referenzen

einblenden:

Urheber

einblenden:
ausblenden:
 Urheber:
Gorjao, Leonardo Rydin, Autor
Anvari, Mehrnaz, Autor
Kantz, Holger, Autor
Beck, Christian, Autor
Witthaut, Dirk, Autor
Timme, Marc1, Autor           
Schäfer, Benjamin2, Autor           
Affiliations:
1Max Planck Research Group Network Dynamics, Max Planck Institute for Dynamics and Self-Organization, Max Planck Society, ou_2063295              
2Department of Dynamics of Complex Fluids, Max Planck Institute for Dynamics and Self-Organization, Max Planck Society, ou_2063299              

Inhalt

einblenden:
ausblenden:
Schlagwörter: -
 Zusammenfassung: 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.

Details

einblenden:
ausblenden:
Sprache(n): eng - English
 Datum: 2020
 Publikationsstatus: Erschienen
 Seiten: -
 Ort, Verlag, Ausgabe: -
 Inhaltsverzeichnis: -
 Art der Begutachtung: -
 Identifikatoren: DOI: 10.1109/ACCESS.2020.2967834
 Art des Abschluß: -

Veranstaltung

einblenden:

Entscheidung

einblenden:

Projektinformation

einblenden:

Quelle 1

einblenden:
ausblenden:
Titel: IEEE Access
Genre der Quelle: Zeitschrift
 Urheber:
Affiliations:
Ort, Verlag, Ausgabe: New York, NY : IEEE
Seiten: - Band / Heft: 8 Artikelnummer: - Start- / Endseite: 43082 - 43097 Identifikator: ISSN: 2169-3536
CoNE: https://pure.mpg.de/cone/journals/resource/2169-3536