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  Network-induced multistability through lossy coupling and exotic solitary states

Hellmann, F., Schultz, P., Jaros, P., Levchenko, R., Kapitaniak, T., Kurths, J., Maistrenko, Y. (2020): Network-induced multistability through lossy coupling and exotic solitary states. - Nature Communications, 11, 592.
https://doi.org/10.1038/s41467-020-14417-7

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Item Permalink: https://publications.pik-potsdam.de/pubman/item/item_23893 Version Permalink: https://publications.pik-potsdam.de/pubman/item/item_23893_5
Genre: Journal Article

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 Creators:
Hellmann, Frank1, Author              
Schultz, Paul1, Author              
Jaros, P.2, Author
Levchenko, R.2, Author
Kapitaniak, T.2, Author
Kurths, Jürgen1, Author              
Maistrenko, Y.2, Author
Affiliations:
1Potsdam Institute for Climate Impact Research, ou_persistent13              
2External Organizations, ou_persistent22              

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 Abstract: The stability of synchronised networked systems is a multi-faceted challenge for many natural and technological fields, from cardiac and neuronal tissue pacemakers to power grids. For these, the ongoing transition to distributed renewable energy sources leads to a proliferation of dynamical actors. The desynchronisation of a few or even one of those would likely result in a substantial blackout. Thus the dynamical stability of the synchronous state has become a leading topic in power grid research. Here we uncover that, when taking into account physical losses in the network, the back-reaction of the network induces new exotic solitary states in the individual actors and the stability characteristics of the synchronous state are dramatically altered. These effects will have to be explicitly taken into account in the design of future power grids. We expect the results presented here to transfer to other systems of coupled heterogeneous Newtonian oscillators.

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 Dates: 2020
 Publication Status: Finally published
 Pages: -
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 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1038/s41467-020-14417-7
PIKDOMAIN: RD4 - Complexity Science
eDoc: 8953
MDB-ID: yes
Research topic keyword: Complex Networks
Research topic keyword: Energy
Research topic keyword: Nonlinear Dynamics
Organisational keyword: RD4 - Complexity Science
 Degree: -

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Title: Nature Communications
Source Genre: Journal, SCI, Scopus, p3, oa
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Pages: - Volume / Issue: 11 Sequence Number: 592 Start / End Page: - Identifier: CoNE: https://publications.pik-potsdam.de/cone/journals/resource/journals354
Publisher: Springer Nature