Cited by 33Infrastructure Resilience and Vulnerability AnalysisOptimal Power Flow DistributionPower System Optimization and Stability

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

A State-of-the-Art Literature Survey of Power Distribution System Resilience Assessment

Chi, Yuan, Xu, Yan, Hu, Chunchao, Feng, Shanqiang·2018·2018 IEEE Power & Energy Society General Meeting (PESGM)

Abstract

With increased threats from frequent natural disasters, power distribution network resilience has been gaining momentum in recent years. In the literature, a variety of methods have been proposed for assessing the resilience level of the power distribution system. This paper conducts a comprehensive review of the state-of-the-art methods on resilience evaluation framework and metrics in the literature. At first, the core conceptions of the resilience are clarified, and different phases before and after the incidents are analyzed. Subsequently, evaluation methods are classified into several categories based on their features and limitations, and reviewed respectively. Finally, challenges and promising topics in this area are discussed and summarized. The value of this paper is to gain a deep insight into this import research area and envision some future works, which can assist the operator/planner to formulate more effective restoration strategies and produce more effective countermeasures to increase the resilience of distribution network.

Overview

Integrity signals

Registry

Crossref · 10.1109/pesgm.2018.8586495

Cites

1 of 1 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Verification

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Traditional risk management approaches may no longer be sufficient to cope with emerging risks.

    “As a result, traditional risk management approaches may no longer be sufficient to cope with these [10].”

    From Energy system resilience – A review (2021) · cites this paper as [10]

  • Many papers describe the focus of reliability as operation within desired system state boundaries under high probability threats, while the resilience focus is described in terms of less likely threats that knock the system outside the desired system state.

    “Many of these papers describe the focus of reliability as operation within desired system state boundaries under high probability threats, while the resilience focus is described in terms of less likely threats that knock the system outside the desired system state [10,17,50,51].”

    From Energy system resilience – A review (2021) · cites this paper as [10]

  • System resilience is often described by its performance changing in time from a disruption event over several phases in a resilience curve.

    “System resilience is often described by its performance changing in time from a disruption event over several phases in so-called resilience curve [1,10,12,17,18,20,51,[59][60][61][62].”

    From Energy system resilience – A review (2021) · cites this paper as [10]

  • Resilience literature tends to focus on extreme, unexpected, or unknown threats regardless of the occurrence likelihood.

    “This is consistent with the observation that resilience literature tends to focus on extreme, unexpected, or unknown threats regardless of the occurrence likelihood [1,10,51].”

    From Energy system resilience – A review (2021) · cites this paper as [10]

  • All sources distinguish reliability as a static concept with time-averaged metrics from resilience, which addresses dynamics during a disruption event.

    “All sources distinguish reliability as a static concept with time-averaged metrics from resilience, which addresses dynamics during a disruption event.”

    From Energy system resilience – A review (2021) · cites this paper as [10]

Citations

Cites

Flagged first, then by citations

Research works printed but not linked: 44

  1. 10.1109/TPWRD.2016.2613935 · DOI
  2. 10.1109/TSG.2016.2545683 · DOI
  3. 10.1007/978-981-4585-27-9_18 · DOI
  4. 10.1007/978-981-4585-30-9_7 · DOI
  5. cano-andrade, 2012, Multi-objective optimization for the sustainable-resilient synthesis/design/ operation of a power network coupled to distributed power producers via microgrids, Energy Parts A and B, 6, 1393
  6. 10.1109/ELECO.2015.7394501 · DOI
  7. 10.1109/TSG.2016.2596788 · DOI
  8. 10.1109/TSG.2016.2577643 · DOI
  9. miller, 2014, Achieving a resilient and agile grid
  10. 10.1109/JPROC.2017.2666548 · DOI
  11. 10.1049/iet-gtd.2015.1509 · DOI
  12. 10.1016/j.ijdrr.2012.11.006 · DOI
  13. teodorescu, 2016, Properties and use of a resilience index in disaster preparation and response, Technologies for Homeland Security (HST) 2016 IEEE International Symposium on, 1
  14. 10.1109/TSG.2016.2579999 · DOI
  15. 10.1109/TSG.2016.2561303 · DOI
  16. 10.1016/j.strusafe.2014.01.001 · DOI
  17. bajpai, 0, A Novel Metric to Quantify and Enable Resilient Distribution System using Graph Theory and Choquet Integral, IEEE Transactions on Smart Grid, pp, 1
  18. 10.3390/en9020093 · DOI
  19. 10.1109/JPROC.2017.2691357 · DOI
  20. 10.1007/978-1-4615-7731-7 · DOI
  21. 10.1109/JSYST.2015.2389272 · DOI
  22. 2016, The Australian state without power
  23. gao, 2016, Resilience- oriented critical load restoration using microgrids in distribution systems, IEEE Trans Smart Grid, 7, 2837, 10.1109/TSG.2016.2550625 · DOI
  24. 2013, Improving Electric Grid Reliability and Resilience Lessons Learned From Superstorm Sandy and Other Extreme Events
  25. 2011, Keeping the country running Natural hazards and infrastructure
  26. liu, 2006, Particle swarm optimization based defensive islanding of large scale power system, 2006 IEEE International Joint Conference on Neural Network Proceedings, 1719
  27. 2017, Puerto Rico Is Now Largest Blackout in U S History Report Says
  28. petit, 2013, Resiliency Measurement Index
  29. 2010, A Framework for Establishing Critical Infrastructure Resilience Goals
  30. 2013, Economic Benefits of Increasing Electric Grid Resilience to Weather Outages
  31. mcmanus, 2007, Resilience management: A framework for assessing and improving the resilience of organisations, Resilient Organ Res Rep, 1, 1
  32. 10.1016/j.sandf.2012.11.003 · DOI
  33. 10.1109/JPROC.2017.2698262 · DOI · Paper page
  34. 10.1103/PhysRevE.60.1412 · DOI
  35. arefifar, 0, Voltage and current controllability in multi-microgrid smart distribution systems, IEEE Trans Smart Grid, 99, 1
  36. 10.1109/TSG.2012.2200703 · DOI
  37. 10.1109/TSG.2016.2556619 · DOI
  38. 10.1109/MPE.2015.2397334 · DOI · Paper page
  39. 10.1109/TSG.2016.2551641 · DOI
  40. 10.1109/TPWRS.2016.2577500 · DOI
  41. 10.1016/j.epsr.2015.03.009 · DOI
  42. 10.1016/j.strusafe.2011.12.004 · DOI
  43. 10.1109/JPROC.2016.2633780 · DOI
  44. 10.1016/j.engstruct.2010.08.008 · DOI

Cited by

Sorted by citations

Metadata

Authors
Chi, Y., Xu, Y., Hu, C., & Feng, S.
Affiliations
  • Nanyang Technological University (SG)
  • Guangdong Power Grid Company (China) (CN)
Venue
2018 IEEE Power & Energy Society General Meeting (PESGM)
Publisher
IEEE
Published
2018-08
Pages
1-5
ISSN
1932-5517 (ISSN-L)
OpenAlex
W2906048567
Cited by
33
References
1
Citations by year
2026: 1 · 2025: 7 · 2024: 3 · 2023: 3 · 2022: 5 · 2021: 6 · 2020: 7 · 2019: 1
FWCI
11.46
Type
conference paper
Language
en
Open access
closed
Locations
IEEE Power Engineering Society General Meeting (publishedVersion)
Topics
  • Physical Sciences › Engineering › Civil and Structural Engineering › Infrastructure Resilience and Vulnerability Analysis
  • Physical Sciences › Engineering › Electrical and Electronic Engineering › Optimal Power Flow Distribution
  • Physical Sciences › Engineering › Electrical and Electronic Engineering › Power System Optimization and Stability
Keywords
power distribution system resilience, resilience assessment, resilience indicators, natural disasters, resilience evaluation framework

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review