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Robustness assessment of Hetero-functional graph theory based model of interdependent urban utility networks

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  • Munikoti, Sai
  • Lai, Kexing
  • Natarajan, Balasubramaniam

Abstract

Increasing urban population imposes a substantial and growing burden on the supporting infrastructure, such as electricity, water, heating, natural gas, road transportation. This paper presents a Hetero-functional graph theory (HFGT) based modeling framework for these integrated infrastructures followed by an analysis of network robustness. The supporting infrastructures along with the infrastructure repair facilities are considered. In contrast to conventional graph representations, a weighted HFGT model is used to capture the system processes and mutual dependencies among resources. To assess robustness of interdependent networks, impacts of complete/partial and random/targeted attacks are quantified. Specifically, various attack scenarios are simulated and the vulnerability of the network is evaluated. Additionally, several robustness metrics are used to provide a comprehensive evaluation of system robustness. The proposed weighted HFGT modeling and robustness assessment approach is tested using a synthetic interdependent network, comprising of an electrical power system, a water network, a district heating network, a natural gas system and a road transportation network. Results demonstrate that system robustness can be enhanced via securing system information and mitigating attack strength.

Suggested Citation

  • Munikoti, Sai & Lai, Kexing & Natarajan, Balasubramaniam, 2021. "Robustness assessment of Hetero-functional graph theory based model of interdependent urban utility networks," Reliability Engineering and System Safety, Elsevier, vol. 212(C).
    • Handle: RePEc:eee:reensy:v:212:y:2021:i:c:s095183202100168x
    DOI: 10.1016/j.ress.2021.107627
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    6. Li, Ruimeng & Yang, Naiding & Yi, Hao & Jin, Na, 2023. "The robustness of complex product development projects under design change risk propagation with gray attack information," Reliability Engineering and System Safety, Elsevier, vol. 235(C).

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