Structural Vulnerability Assessment of Multi-energy System Using a PageRank Algorithm

Yichen Shen, Chenghong Gu, Pengfei Zhao

Research output: Contribution to journalConference articlepeer-review

16 Citations (SciVal)


Severe natural catastrophes may directly cause large-scale cascading failures in energy systems. This paper presents a comprehensive scheme of vulnerability assessment for multi-energy systems, including both electricity and natural gas. Differing from cascading failure theory, this scheme employs PageRank algorithm to measure the structural importance of the integrated system. A modified weighted PageRank methodology is applied to determine the importance of nodes in both natural gas and electricity networks. The effectiveness of this scheme is demonstrated and analyzed via an integrated energy system in the case study. This algorithm can help identify the weakness in the integrate energy system so that purposeful planning and operation strategies can be deployed to increase the security.

Original languageEnglish
Pages (from-to)6466-6471
Number of pages6
JournalEnergy Procedia
Publication statusPublished - 1 Feb 2019
Event10th International Conference on Applied Energy, ICAE 2018 - Hong Kong, China
Duration: 22 Aug 201825 Aug 2018


  • Combined Gas-electric system
  • PageRank algorithm
  • Vulnerability assessment

ASJC Scopus subject areas

  • General Energy


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