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Cited by 91Infrastructure Resilience and Vulnerability AnalysisPower System Reliability and MaintenanceOptimal Power Flow Distribution

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Resilience of Energy Infrastructure and Services: Modeling, Data Analytics, and Metrics

Open access
Ji, Chuanyi, Wei, Yun, Poor, H. Vincent·2017·Proceedings of the IEEE
DOI 10.1109/jproc.2017.2698262
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Abstract

Large-scale power failures induced by severe weather have become frequent and damaging in recent years, causing millions of people to be without electricity service for days. Although the power industry has been battling weather-induced failures for years, it is largely unknown how resilient the energy infrastructure and services really are to severe weather disruptions. What fundamental issues govern the resilience? Can advanced approaches such as modeling and data analytics help industry to go beyond empirical methods? This paper discusses the research to date and open issues related to these questions. The focus is on identifying fundamental challenges and advanced approaches for quantifying resilience. In particular, the first aspect of this problem is how to model large-scale failures, recoveries, and impacts, involving the infrastructure, service providers, customers, and weather. The second aspect is how to identify generic vulnerability in the infrastructure and services through large-scale data analytics. The third aspect is to understand what resilience metrics are needed and how to develop them.

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  • Representation of the failure and restoration processes is a necessary requirement in bottom up type models to capture the resilience as an emerging system quality.

    “Representation of the failure and restoration processes is a necessary requirement in bottom up type models to capture the resilience as an emerging system quality [75].”

    From Energy system resilience – A review (2021) · cites this paper as [75]

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References 74 · Cited by 91

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Metadata

Authors
Ji, C., Wei, Y., & Poor, H. V.
Affiliations
  • Georgia Institute of Technology (US)
  • Princeton University (US)
ORCID
Venue
Proceedings of the IEEE
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Published
2017-07
Volume
105
Issue
7
Pages
1354-1366
ISSN
  • 0018-9219 (ISSN-L)
  • 1558-2256
DOI
10.1109/jproc.2017.2698262
OpenAlex
W2556099105
Cited by
91
References
74
Citations by year
2026: 6 · 2025: 12 · 2024: 15 · 2023: 11 · 2022: 14 · 2021: 8 · 2020: 8 · 2019: 9 · 2018: 7 · 2017: 1
FWCI
7.15
Type
journal article
Language
en
Open access
Licence
Locations
  • Proceedings of the IEEE (publishedVersion)
  • arXiv (Cornell University) (submittedVersion)
  • arXiv (Cornell University)
Funders
  • U. S. National Science Foundation (CMMI-1435778, ECCS-1549881)
  • New York State Energy Research Development Authority
Topics
  • Physical Sciences › Engineering › Civil and Structural Engineering › Infrastructure Resilience and Vulnerability Analysis
  • Physical Sciences › Engineering › Safety, Risk, Reliability and Quality › Power System Reliability and Maintenance
  • Physical Sciences › Engineering › Electrical and Electronic Engineering › Optimal Power Flow Distribution
Keywords
energy infrastructure resilience, power outages, resilience indicators, infrastructure vulnerability

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