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Assessing survivability to support power grid investment decisions

Author

Listed:
  • Koziolek, Anne
  • Avritzer, Alberto
  • Suresh, Sindhu
  • Menasché, Daniel S.
  • Diniz, Morganna
  • de Souza e Silva, Edmundo
  • Leão, Rosa M.
  • Trivedi, Kishor
  • Happe, Lucia

Abstract

The reliability of power grids has been subject of study for the past few decades. Traditionally, detailed models are used to assess how the system behaves after failures. Such models, based on power flow analysis and detailed simulations, yield accurate characterizations of the system under study. However, they fall short on scalability.

Suggested Citation

  • Koziolek, Anne & Avritzer, Alberto & Suresh, Sindhu & Menasché, Daniel S. & Diniz, Morganna & de Souza e Silva, Edmundo & Leão, Rosa M. & Trivedi, Kishor & Happe, Lucia, 2016. "Assessing survivability to support power grid investment decisions," Reliability Engineering and System Safety, Elsevier, vol. 155(C), pages 30-43.
    • Handle: RePEc:eee:reensy:v:155:y:2016:i:c:p:30-43
    DOI: 10.1016/j.ress.2016.05.015
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    Citations

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    Cited by:

    1. He, Y.X. & Jiao, J. & Chen, R.J. & Shu, H., 2018. "The optimization of Chinese power grid investment based on transmission and distribution tariff policy: A system dynamics approach," Energy Policy, Elsevier, vol. 113(C), pages 112-122.
    2. Yücel, E. & Salman, F.S. & Arsik, I., 2018. "Improving post-disaster road network accessibility by strengthening links against failures," European Journal of Operational Research, Elsevier, vol. 269(2), pages 406-422.
    3. Gholizadeh, N. & Hosseinian, S.H. & Abedi, M. & Nafisi, H. & Siano, P., 2022. "Optimal placement of fuses and switches in active distribution networks using value-based MINLP," Reliability Engineering and System Safety, Elsevier, vol. 217(C).
    4. Ding, Weiyong & Xu, Maochao & Huang, Yu & Zhao, Peng, 2020. "Cyber risks of PMU networks with observation errors: Assessment and mitigation," Reliability Engineering and System Safety, Elsevier, vol. 198(C).

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