Probabilistic Stability Assessment for Active Distribution Grids

Research output: Chapter in book/report/conference proceedingConference contributionResearchpeer review

Authors

  • Sebastian Liemann
  • Lia Strenge
  • Paul Schultz
  • Holm Hinners
  • Johannis Porst
  • Marcel Sarstedt
  • Frank Hellmann

Research Organisations

External Research Organisations

  • TU Dortmund University
  • Technische Universität Berlin
  • Potsdam Institute for Climate Impact Research
  • University of Bremen
  • Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU Erlangen-Nürnberg)
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Details

Original languageEnglish
Title of host publication2021 IEEE Madrid PowerTech
PublisherIEEE Computer Society
Number of pages6
ISBN (electronic)978-1-6654-3597-0
ISBN (print)978-1-6654-1173-8
Publication statusPublished - 2021
EventIEEE PowerTech 2021 - Madrid, Spain
Duration: 28 Jun 20212 Jul 2021
https://www.powertech2021.com/

Abstract

This paper demonstrates the concept of probabilistic stability assessment on large-signal stability in the use case of short circuits in an active distribution grid. Here, the concept of survivability is applied, which extends classical stability assessments by evaluating the stability and operational limits during transients for a wide range of operating points and failures. For this purpose, a free, open-source, and computationally efficient environment (Julia) for dynamic simulation of power grids is used to demonstrate its capabilities. The model implementation is validated against established commercial software and deviations are minimal with respect to power flow and dynamic simulations. The results of a large-scale survivability analysis reveal i) a broad field of application for probabilistic stability analysis and ii) that new non-intuitive stability correlations can be obtained. Hence, the proposed method shows strong potential to efficiently conduct power system stability analysis in active distribution grids.

Keywords

    active distribution grid, Julia, probabilistic stability, short-circuits, survivability

ASJC Scopus subject areas

Sustainable Development Goals

Cite this

Probabilistic Stability Assessment for Active Distribution Grids. / Liemann, Sebastian ; Strenge, Lia; Schultz, Paul et al.
2021 IEEE Madrid PowerTech. IEEE Computer Society, 2021. 9494855.

Research output: Chapter in book/report/conference proceedingConference contributionResearchpeer review

Liemann, S, Strenge, L, Schultz, P, Hinners, H, Porst, J, Sarstedt, M & Hellmann, F 2021, Probabilistic Stability Assessment for Active Distribution Grids. in 2021 IEEE Madrid PowerTech., 9494855, IEEE Computer Society, IEEE PowerTech 2021, Madrid, Spain, 28 Jun 2021. https://doi.org/10.1109/PowerTech46648.2021.9494855
Liemann, S., Strenge, L., Schultz, P., Hinners, H., Porst, J., Sarstedt, M., & Hellmann, F. (2021). Probabilistic Stability Assessment for Active Distribution Grids. In 2021 IEEE Madrid PowerTech Article 9494855 IEEE Computer Society. https://doi.org/10.1109/PowerTech46648.2021.9494855
Liemann S, Strenge L, Schultz P, Hinners H, Porst J, Sarstedt M et al. Probabilistic Stability Assessment for Active Distribution Grids. In 2021 IEEE Madrid PowerTech. IEEE Computer Society. 2021. 9494855 doi: 10.1109/PowerTech46648.2021.9494855
Liemann, Sebastian ; Strenge, Lia ; Schultz, Paul et al. / Probabilistic Stability Assessment for Active Distribution Grids. 2021 IEEE Madrid PowerTech. IEEE Computer Society, 2021.
Download
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abstract = "This paper demonstrates the concept of probabilistic stability assessment on large-signal stability in the use case of short circuits in an active distribution grid. Here, the concept of survivability is applied, which extends classical stability assessments by evaluating the stability and operational limits during transients for a wide range of operating points and failures. For this purpose, a free, open-source, and computationally efficient environment (Julia) for dynamic simulation of power grids is used to demonstrate its capabilities. The model implementation is validated against established commercial software and deviations are minimal with respect to power flow and dynamic simulations. The results of a large-scale survivability analysis reveal i) a broad field of application for probabilistic stability analysis and ii) that new non-intuitive stability correlations can be obtained. Hence, the proposed method shows strong potential to efficiently conduct power system stability analysis in active distribution grids.",
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AU - Hellmann, Frank

N1 - Funding Information: Condynet2 FK. 03EK3055A. All authors gratefully acknowledge the European Regional Development Fund (ERDF), the German Federal Ministry of Education and Research and the Land Brandenburg for supporting this project by providing resources on the high performance computer system at the Potsdam Institute for Climate Impact Research.

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