Taming instabilities in power grid networks by decentralized control

B. Schaefer; C. Grabow; S. Auer; J. Kurths; D. Witthaut; M. Timme

doi:10.1140/epjst/e2015-50136-y

Taming instabilities in power grid networks by decentralized control

B. Schaefer^*, C. Grabow, S. Auer, J. Kurths, D. Witthaut, M. Timme

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

70 Citations (Scopus)

Abstract

Renewables will soon dominate energy production in our electric power system. And yet, how to integrate renewable energy into the grid and the market is still a subject of major debate. Decentral Smart Grid Control (DSGC) was recently proposed as a robust and decentralized approach to balance supply and demand and to guarantee a grid operation that is both economically and dynamically feasible. Here, we analyze the impact of network topology by assessing the stability of essential network motifs using both linear stability analysis and basin volume for delay systems. Our results indicate that if frequency measurements are averaged over sufficiently large time intervals, DSGC enhances the stability of extended power grid systems. We further investigate whether DSGC supports centralized and/or decentralized power production and find it to be applicable to both. However, our results on cycle-like systems suggest that DSGC favors systems with decentralized production. Here, lower line capacities and lower averaging times are required compared to those with centralized production.

Original language	English
Pages (from-to)	569-582
Number of pages	14
Journal	The European Physical Journal. Special Topics
Volume	225
Issue number	3
Early online date	25 May 2016
DOIs	https://doi.org/10.1140/epjst/e2015-50136-y
Publication status	Published - May 2016

Bibliographical note

We thank Dr. Thomas Walter at Easy Smart Grid GmbH for inspiration and valuable discussions. This work was supported by the BMBF, grants No. 03SF0472A (C.G., S.A., J.K.), No. 03SF0472B (D.W.) and No. 03SF0472E (M.T.), by the Helmholtz Association, grant No.VH-NG-1025 (D.W.), by the Max Planck Society (M.T.), by the G¨ottingen Graduate School for Neurosciences and Molecular Biosciences (DFG Grant GSC 226/2) (B.S.)

Keywords

FUTURE
MODEL

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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Cite this

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title = "Taming instabilities in power grid networks by decentralized control",

abstract = "Renewables will soon dominate energy production in our electric power system. And yet, how to integrate renewable energy into the grid and the market is still a subject of major debate. Decentral Smart Grid Control (DSGC) was recently proposed as a robust and decentralized approach to balance supply and demand and to guarantee a grid operation that is both economically and dynamically feasible. Here, we analyze the impact of network topology by assessing the stability of essential network motifs using both linear stability analysis and basin volume for delay systems. Our results indicate that if frequency measurements are averaged over sufficiently large time intervals, DSGC enhances the stability of extended power grid systems. We further investigate whether DSGC supports centralized and/or decentralized power production and find it to be applicable to both. However, our results on cycle-like systems suggest that DSGC favors systems with decentralized production. Here, lower line capacities and lower averaging times are required compared to those with centralized production.",

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AU - Grabow, C.

AU - Auer, S.

AU - Kurths, J.

AU - Witthaut, D.

AU - Timme, M.

N1 - We thank Dr. Thomas Walter at Easy Smart Grid GmbH for inspiration and valuable discussions. This work was supported by the BMBF, grants No. 03SF0472A (C.G., S.A., J.K.), No. 03SF0472B (D.W.) and No. 03SF0472E (M.T.), by the Helmholtz Association, grant No.VH-NG-1025 (D.W.), by the Max Planck Society (M.T.), by the G¨ottingen Graduate School for Neurosciences and Molecular Biosciences (DFG Grant GSC 226/2) (B.S.)

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Taming instabilities in power grid networks by decentralized control

Abstract

Bibliographical note

Keywords

UN SDGs

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