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Adequacy and security analysis of interdependent electric and gas networks

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  • Andrea Antenucci
  • Giovanni Sansavini

Abstract

In this article, adequacy and security assessments on the coupled operations of the electric and gas networks are performed. Extreme operating conditions and fault of components are considered as events that can impact the interdependent systems. The electric and gas networks are represented by an event-based direct current power flow model and by a transient one-dimensional mass flow model, respectively. Furthermore, the automations and safety strategies enforced by transmission system operators are represented within an original modelling approach. A quantitative analysis is performed with reference to the simplified energy infrastructures of Great Britain. Results highlight the contingencies which can jeopardize security and identify the components that are prone to fail and induce large gas pressure instabilities and loss of supply, and the locations in the gas grid that are susceptible to pressure violation. Moreover, a simulated 30% increase of the peak gas demand in 2015 is a limit for safe operations of the gas network, but the coupled systems are robust enough to avoid the spread of a cascading failure across networks. These results allow preventing critical operating conditions induced by the interaction between networks and can guide safety-based decisions on system reinforcements and the development of mitigating actions.

Suggested Citation

  • Andrea Antenucci & Giovanni Sansavini, 2018. "Adequacy and security analysis of interdependent electric and gas networks," Journal of Risk and Reliability, , vol. 232(2), pages 121-139, April.
  • Handle: RePEc:sae:risrel:v:232:y:2018:i:2:p:121-139
    DOI: 10.1177/1748006X17715953
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    References listed on IDEAS

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    Cited by:

    1. Jesus Beyza & Eduardo Garcia-Paricio & Jose M. Yusta, 2019. "Applying Complex Network Theory to the Vulnerability Assessment of Interdependent Energy Infrastructures," Energies, MDPI, vol. 12(3), pages 1-16, January.

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