Deutsch
 
Datenschutzhinweis Impressum
  DetailsucheBrowse

Datensatz

 
 
DownloadE-Mail
  Introduction to Focus Issue: Dynamics of modern power grids

Anvari, M., Hellmann, F., Zhang, X. (2020): Introduction to Focus Issue: Dynamics of modern power grids. - Chaos, 30, 6, 063140.
https://doi.org/10.1063/5.0016372

Item is

Dateien

einblenden: Dateien
ausblenden: Dateien
:
Anvari et al_2020_5.0016372.pdf (Verlagsversion), 691KB
 
Datei-Permalink:
-
Name:
Anvari et al_2020_5.0016372.pdf
Beschreibung:
-
Sichtbarkeit:
Privat
MIME-Typ / Prüfsumme:
application/pdf
Technische Metadaten:
Copyright Datum:
-
Copyright Info:
-
Lizenz:
-

Externe Referenzen

einblenden:

Urheber

einblenden:
ausblenden:
 Urheber:
Anvari, Mehrnaz1, Autor              
Hellmann, Frank1, Autor              
Zhang, Xiaozhu2, Autor
Affiliations:
1Potsdam Institute for Climate Impact Research, ou_persistent13              
2External Organizations, ou_persistent22              

Inhalt

einblenden:
ausblenden:
Schlagwörter: -
 Zusammenfassung: This Focus Issue brings together recent notable advances in the field of dynamical systems and complexity science on the subject of the non-linear collective behavior of power grids and energy systems. Due to the ongoing energy transition, mandated by the epochal challenge that is the decarbonization of human activity, our energy infrastructure is evolving rapidly. This challenges us to understand and rethink current and potential future power grids. In response to this urgent need, the last decade has seen the emergence of a new direction of theoretical research on complex power grids. There is a long tradition of studying models of the complex power grid in the electrical engineering and control theory literature, with the foundational second-order Kuramoto model appearing first in 1981 in the paper by Bergen and Hill,1 leading up to the seminal synchronization results of Dörfler et al.2 and the basin of attraction of the synchronous state of Menck et al.3 The new direction that has been developing using dynamical systems theory complements this by bringing in a new systemic perspective and considering heads on the novel challenge posed by stochastic4 and decentral power generation. This theory- and data-driven research achieved notable insights. A subjective, non-exhaustive list of highlights include (i) the network-wide dynamic response patterns emerging from fluctuating power feed-in;5–7 (ii) time-delayed control mechanisms to reduce grid frequency variation;8 (iii) a deeper understanding of the network structure’s impact on stability;9–13 (iv) new insights into power flows and cascades14,15 and the introduction of dual graphs for new analytic results in this context;16,17 and (v) data-driven and extensive stochastic analysis on renewable energies and power grid frequencies.18–20 The methods and topics in this Focus Issue not only cover further developments in the directions of these highlights but also contribute to a number of new emerging directions that are gaining importance. This includes full range of dynamical systems theory aspects, from delays and control systems, over stochastic systems, and time series analysis to bifurcation theory and multilayer complex networks. We will present the contributions to this Focus Issue grouped according to these themes: multistability and bifurcation structure (Sec. II A), cascades and line failures (Sec. II B), variability and stochastic drivers of power grids (Sec. II C), and control and delays (Sec. II D). Beyond these established areas, we discuss the most important emerging and cross-cutting themes in Sec. III.

Details

einblenden:
ausblenden:
Sprache(n):
 Datum: 2020
 Publikationsstatus: Final veröffentlicht
 Seiten: -
 Ort, Verlag, Ausgabe: -
 Inhaltsverzeichnis: -
 Art der Begutachtung: Expertenbegutachtung
 Identifikatoren: DOI: 10.1063/5.0016372
PIKDOMAIN: RD4 - Complexity Science
MDB-ID: No data to archive
Working Group: Dynamics, stability and resilience of complex hybrid infrastructure networks
 Art des Abschluß: -

Veranstaltung

einblenden:

Entscheidung

einblenden:

Projektinformation

einblenden:

Quelle 1

einblenden:
ausblenden:
Titel: Chaos
Genre der Quelle: Zeitschrift, SCI, Scopus, p3
 Urheber:
Affiliations:
Ort, Verlag, Ausgabe: -
Seiten: - Band / Heft: 30 (6) Artikelnummer: 063140 Start- / Endseite: - Identifikator: CoNE: https://publications.pik-potsdam.de/cone/journals/resource/180808
Publisher: American Institute of Physics (AIP)