Resumé

The present paper proposes a framework for the modeling and analysis of resilience of networked power grid systems. A probabilistic systems model is proposed based on the JCSS Probabilistic Model Code (JCSS, 2001) and deterministic engineering systems modeling techniques such as the DC flow model. This probabilistic systems model facilitates the propagation of the dominating uncertainties affecting the system performances, including characteristics of geo-hazard disturbances, internal flow, the resistances of the system with respect to these and effects of internal redistribution and subsequent possible cascading failure event scenarios (Nan and Sansavini, 2017). The concept of direct and indirect consequences proposed by the Joint Committee on Structural Safety (JCSS, 2008) is utilized to model the associated consequences. To facilitate a holistic modeling of robustness and resilience, and to identify how these characteristics may be optimized these characteristics, the power grid system is finally interlinked with its fundamental interdependent systems, i.e. a societal model, a regulatory system and control feedback loops.
The proposed framework is exemplified with reference to optimal decision support for resilience management in the IEEE Reliability Test System-1996. Parameter studies are undertaken to assess the significance of decision options on the system performance characteristics. Finally, the presented framework and example results are discussed and suggestions for further developments are provided.
OriginalsprogEngelsk
TitelResilience : The 2nd International Workshop on Modelling of Physical, Economic and Social Systems for Resilience Assessment
Udgivelses stedLuxembourg
ForlagEuropean Commision
Publikationsdato2017
Sider23-35
ISBN (Trykt)978-92-79-74443-3
ISBN (Elektronisk)978-92-79-74444-0
StatusUdgivet - 2017
BegivenhedThe 2nd International Workshop on Modelling of Physical,
Economic and Social Systems for Resilience Assessment: RESILIENCE
- Ispra, Italien
Varighed: 14 dec. 201716 dec. 2017
Konferencens nummer: 2

Konference

KonferenceThe 2nd International Workshop on Modelling of Physical,
Economic and Social Systems for Resilience Assessment
Nummer2
LandItalien
ByIspra
Periode14/12/201716/12/2017

Emneord

  • Power Grid Systems
  • Robustness
  • Resilience
  • Cascading Failures

Citer dette

Qin, J., Sansavini, G., & Nielsen, M. H. F. (2017). Probabilistic Modelling of Robustness and Resilience of Power Grid Systems. I Resilience : The 2nd International Workshop on Modelling of Physical, Economic and Social Systems for Resilience Assessment (s. 23-35). Luxembourg: European Commision.
Qin, Jianjun ; Sansavini, Giovanni ; Nielsen, Michael Havbro Faber. / Probabilistic Modelling of Robustness and Resilience of Power Grid Systems. Resilience : The 2nd International Workshop on Modelling of Physical, Economic and Social Systems for Resilience Assessment. Luxembourg : European Commision, 2017. s. 23-35
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abstract = "The present paper proposes a framework for the modeling and analysis of resilience of networked power grid systems. A probabilistic systems model is proposed based on the JCSS Probabilistic Model Code (JCSS, 2001) and deterministic engineering systems modeling techniques such as the DC flow model. This probabilistic systems model facilitates the propagation of the dominating uncertainties affecting the system performances, including characteristics of geo-hazard disturbances, internal flow, the resistances of the system with respect to these and effects of internal redistribution and subsequent possible cascading failure event scenarios (Nan and Sansavini, 2017). The concept of direct and indirect consequences proposed by the Joint Committee on Structural Safety (JCSS, 2008) is utilized to model the associated consequences. To facilitate a holistic modeling of robustness and resilience, and to identify how these characteristics may be optimized these characteristics, the power grid system is finally interlinked with its fundamental interdependent systems, i.e. a societal model, a regulatory system and control feedback loops.The proposed framework is exemplified with reference to optimal decision support for resilience management in the IEEE Reliability Test System-1996. Parameter studies are undertaken to assess the significance of decision options on the system performance characteristics. Finally, the presented framework and example results are discussed and suggestions for further developments are provided.",
keywords = "Power Grid Systems, Robustness, Resilience, Cascading Failures, Power Grid Systems, Robustness, Resilience, Cascading Failures",
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Qin, J, Sansavini, G & Nielsen, MHF 2017, Probabilistic Modelling of Robustness and Resilience of Power Grid Systems. i Resilience : The 2nd International Workshop on Modelling of Physical, Economic and Social Systems for Resilience Assessment. European Commision, Luxembourg, s. 23-35, The 2nd International Workshop on Modelling of Physical,
Economic and Social Systems for Resilience Assessment, Ispra, Italien, 14/12/2017.

Probabilistic Modelling of Robustness and Resilience of Power Grid Systems. / Qin, Jianjun; Sansavini, Giovanni; Nielsen, Michael Havbro Faber.

Resilience : The 2nd International Workshop on Modelling of Physical, Economic and Social Systems for Resilience Assessment. Luxembourg : European Commision, 2017. s. 23-35.

Publikation: Bidrag til bog/antologi/rapport/konference proceedingBidrag til bog/antologiForskningpeer review

TY - CHAP

T1 - Probabilistic Modelling of Robustness and Resilience of Power Grid Systems

AU - Qin, Jianjun

AU - Sansavini, Giovanni

AU - Nielsen, Michael Havbro Faber

PY - 2017

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N2 - The present paper proposes a framework for the modeling and analysis of resilience of networked power grid systems. A probabilistic systems model is proposed based on the JCSS Probabilistic Model Code (JCSS, 2001) and deterministic engineering systems modeling techniques such as the DC flow model. This probabilistic systems model facilitates the propagation of the dominating uncertainties affecting the system performances, including characteristics of geo-hazard disturbances, internal flow, the resistances of the system with respect to these and effects of internal redistribution and subsequent possible cascading failure event scenarios (Nan and Sansavini, 2017). The concept of direct and indirect consequences proposed by the Joint Committee on Structural Safety (JCSS, 2008) is utilized to model the associated consequences. To facilitate a holistic modeling of robustness and resilience, and to identify how these characteristics may be optimized these characteristics, the power grid system is finally interlinked with its fundamental interdependent systems, i.e. a societal model, a regulatory system and control feedback loops.The proposed framework is exemplified with reference to optimal decision support for resilience management in the IEEE Reliability Test System-1996. Parameter studies are undertaken to assess the significance of decision options on the system performance characteristics. Finally, the presented framework and example results are discussed and suggestions for further developments are provided.

AB - The present paper proposes a framework for the modeling and analysis of resilience of networked power grid systems. A probabilistic systems model is proposed based on the JCSS Probabilistic Model Code (JCSS, 2001) and deterministic engineering systems modeling techniques such as the DC flow model. This probabilistic systems model facilitates the propagation of the dominating uncertainties affecting the system performances, including characteristics of geo-hazard disturbances, internal flow, the resistances of the system with respect to these and effects of internal redistribution and subsequent possible cascading failure event scenarios (Nan and Sansavini, 2017). The concept of direct and indirect consequences proposed by the Joint Committee on Structural Safety (JCSS, 2008) is utilized to model the associated consequences. To facilitate a holistic modeling of robustness and resilience, and to identify how these characteristics may be optimized these characteristics, the power grid system is finally interlinked with its fundamental interdependent systems, i.e. a societal model, a regulatory system and control feedback loops.The proposed framework is exemplified with reference to optimal decision support for resilience management in the IEEE Reliability Test System-1996. Parameter studies are undertaken to assess the significance of decision options on the system performance characteristics. Finally, the presented framework and example results are discussed and suggestions for further developments are provided.

KW - Power Grid Systems

KW - Robustness

KW - Resilience

KW - Cascading Failures

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KW - Robustness

KW - Resilience

KW - Cascading Failures

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PB - European Commision

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ER -

Qin J, Sansavini G, Nielsen MHF. Probabilistic Modelling of Robustness and Resilience of Power Grid Systems. I Resilience : The 2nd International Workshop on Modelling of Physical, Economic and Social Systems for Resilience Assessment. Luxembourg: European Commision. 2017. s. 23-35