The DOI matches its Crossref record.
Resilience Enhancement Strategy for Distribution Systems Under Extreme Weather Events
Abstract
This paper proposes an optimal hardening strategy to enhance the resilience of power distribution networks to protect against extreme weather events. Different grid hardening techniques are considered, such as upgrading poles and vegetation management. The problem is formulated as a tri-level optimization problem to minimize grid hardening investment and load shedding in extreme weather events. The first level is to identify vulnerable distribution lines and select hardening strategies, the second level is to determine the set of out-of-service distribution lines so that the damage caused by extreme weather events is maximized, and the third level is to minimize load shedding costs according to load priorities and the set of damaged lines. Since the selection of hardening strategies is coupled with the uncertainty set of out-of-service lines, the original tri-level model is transformed to be an equivalent bi-level problem, which is subsequently solved by a greedy searching algorithm. Case studies demonstrate the effectiveness of the proposed method under multiple severe weather events and different simulation settings.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
No references could be resolved yet.
Research works printed but not linked: 22
- 10.1109/MELE.2015.2509879 · DOI · Paper page
- 10.1016/j.strusafe.2014.01.001 · DOI · Paper page
- 10.1139/x00-124 · DOI
- louth, 2011, Governor’s Two-Storm Panel Distribution Infrastructure Hardening Options and Recommendations
- 2015, 7th AIMMS/MOPTA Optimization Modeling Competition
- 10.1109/61.25627 · DOI · Paper page
- 10.1109/TSG.2014.2321748 · DOI · Paper page
- 10.1109/TSG.2015.2429653 · DOI · Paper page
- 2013, Economic Benefits of Increasing Electric Grid Resilience to Weather Outages IEEE USA Books & eBooks, 29
- yamangil, 2015, Resilient upgrade of electrical distribution grids, Proc 29th Int Conf AAAI, 1233
- 10.1109/PES.2008.4596940 · doi:10.1109/pes.2008.4596940
- 10.1109/TPWRS.2013.2286171 · DOI · Paper page
- 10.1016/j.cor.2013.06.009 · doi:10.1016/j.cor.2013.06.009
- 10.1109/TPWRD.2002.804007 · DOI
- 10.1016/j.ress.2015.07.028 · DOI · Paper page
- 10.1109/MPE.2015.2397337 · DOI
- 10.1016/j.ress.2013.08.003 · doi:10.1016/j.ress.2013.08.003
- 10.1109/TSG.2015.2427513 · DOI · Paper page
- 2012, Summary of EPRI Test Circuits, 1
- 10.1109/TPWRS.2014.2313841 · DOI
- brown, 2008, Electric Power Distribution Reliability, 10.1201/9780849375682 · DOI
- 2014, Forward Speed of a Hurricane Hurricane Research Division
Cited by
Networked Microgrids for Enhancing the Power System Resilience
Li, Z., Shahidehpour, M., Aminifar, F., Alabdulwahab, A., & Al-Turki, Y. (2017) · Proceedings of the IEEE · doi:10.1109/jproc.2017.2685558 · Cited by 640
A Survey on State Estimation Techniques and Challenges in Smart Distribution Systems
Dehghanpour, K., Wang, Z., Wang, J., Yuan, Y., & Bu, F. (2019) · IEEE Transactions on Smart Grid · doi:10.1109/tsg.2018.2870600 · Cited by 485
Self-citationJufri, F. H., Widiputra, V., & Jung, J. (2019) · Applied Energy · doi:10.1016/j.apenergy.2019.02.017 · Cited by 473
Energy system resilience – A review
Jasiūnas, J., Lund, P. D., & Mikkola, J. (2021) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2021.111476 · Cited by 412
“Many of the hardening techniques are very expensive limiting their economic viability to special cases for the most important, exposed, and yet-to-be-built system components [134,135].”
BackgroundToward a consensus on the definition and taxonomy of power system resilience
Gholami, A., Shekari, T., Amirioun, M. H., Aminifar, F., Amini, M. H., & Sargolzaei, A. (2018) · IEEE Access · doi:10.1109/access.2018.2845378 · Cited by 294
Metadata
- Authors
- Ma, S., Chen, B., & Wang, Z.
- Venue
- IEEE Transactions on Smart Grid
- Published
- 2018-03
- Volume
- 9
- Issue
- 2
- Pages
- 1442-1451
- ISSN
- 1949-3053 (ISSN-L)
- 1949-3061
- OpenAlex
- W2503431744
- Cited by
- 500
- References
- 0
- FWCI
- 13.87
- Type
- journal article
- Language
- en
- Open access
- closed
- Funders
- Electric Power Research Center at Iowa State University
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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Resilience Enhancement Strategy for Distribution Systems Under Extreme Weather Events. https://app.cochat.ai/papers/10.1109/tsg.2016.2591885
- The paper
- Ma, S., Chen, B., & Wang, Z. (2018). Resilience Enhancement Strategy for Distribution Systems Under Extreme Weather Events. IEEE Transactions on Smart Grid. https://doi.org/10.1109/tsg.2016.2591885
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.