IDEAS home Printed from https://ideas.repec.org/a/eee/reensy/v144y2015icp319-333.html
   My bibliography  Save this article

Evaluating system reliability and targeted hardening strategies of power distribution systems subjected to hurricanes

Author

Listed:
  • Salman, Abdullahi M.
  • Li, Yue
  • Stewart, Mark G.

Abstract

Over the years, power distribution systems have been vulnerable to extensive damage from hurricanes which can cause power outage resulting in millions of dollars of economic losses and restoration costs. Most of the outage is as a result of failure of distribution support structures. Over the years, various methods of strengthening distribution systems have been proposed and studied. Some of these methods, such as undergrounding of the system, have been shown to be unjustified from an economic point of view. A potential cost-effective strategy is targeted hardening of the system. This, however, requires a method of determining critical parts of a system that when strengthened, will have greater impact on reliability. This paper presents a framework for studying the effectiveness of targeted hardening strategies on power distribution systems subjected to hurricanes. The framework includes a methodology for evaluating system reliability that relates failure of poles and power delivery, determination of critical parts of a system, hurricane hazard analysis, and consideration of decay of distribution poles. The framework also incorporates cost analysis that considers economic losses due to power outage. A notional power distribution system is used to demonstrate the framework by evaluating and comparing the effectiveness of three hardening measures.

Suggested Citation

  • Salman, Abdullahi M. & Li, Yue & Stewart, Mark G., 2015. "Evaluating system reliability and targeted hardening strategies of power distribution systems subjected to hurricanes," Reliability Engineering and System Safety, Elsevier, vol. 144(C), pages 319-333.
    • Handle: RePEc:eee:reensy:v:144:y:2015:i:c:p:319-333
    DOI: 10.1016/j.ress.2015.07.028
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0951832015002343
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.ress.2015.07.028?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Nguyen, Minh N. & Leicester, Robert H. & Wang, Chi-Hsiang & Cookson, Laurie J., 2008. "Probabilistic procedure for design of untreated timber piles under marine borer attack," Reliability Engineering and System Safety, Elsevier, vol. 93(3), pages 482-488.
    2. Volkanovski, Andrija & ÄŒepin, Marko & Mavko, Borut, 2009. "Application of the fault tree analysis for assessment of power system reliability," Reliability Engineering and System Safety, Elsevier, vol. 94(6), pages 1116-1127.
    3. LaCommare, Kristina Hamachi & Eto, Joseph H., 2006. "Cost of power interruptions to electricity consumers in the United States (US)," Energy, Elsevier, vol. 31(12), pages 1845-1855.
    4. Wang, Chi-hsiang & Leicester, Robert H. & Nguyen, Minh, 2008. "Probabilistic procedure for design of untreated timber poles in-ground under attack of decay fungi," Reliability Engineering and System Safety, Elsevier, vol. 93(3), pages 476-481.
    5. Ryan, Paraic C. & Stewart, Mark G. & Spencer, Nathan & Li, Yue, 2014. "Reliability assessment of power pole infrastructure incorporating deterioration and network maintenance," Reliability Engineering and System Safety, Elsevier, vol. 132(C), pages 261-273.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Hughes, William & Zhang, Wei & Cerrai, Diego & Bagtzoglou, Amvrossios & Wanik, David & Anagnostou, Emmanouil, 2022. "A Hybrid Physics-Based and Data-Driven Model for Power Distribution System Infrastructure Hardening and Outage Simulation," Reliability Engineering and System Safety, Elsevier, vol. 225(C).
    2. Salman, Abdullahi M. & Li, Yue & Bastidas-Arteaga, Emilio, 2017. "Maintenance optimization for power distribution systems subjected to hurricane hazard, timber decay and climate change," Reliability Engineering and System Safety, Elsevier, vol. 168(C), pages 136-149.
    3. Hughes, William & Zhang, Wei & Bagtzoglou, Amvrossios C. & Wanik, David & Pensado, Osvaldo & Yuan, Hao & Zhang, Jintao, 2021. "Damage modeling framework for resilience hardening strategy for overhead power distribution systems," Reliability Engineering and System Safety, Elsevier, vol. 207(C).
    4. Ryan, Paraic C. & Stewart, Mark G. & Spencer, Nathan & Li, Yue, 2014. "Reliability assessment of power pole infrastructure incorporating deterioration and network maintenance," Reliability Engineering and System Safety, Elsevier, vol. 132(C), pages 261-273.
    5. Chi-hsiang Wang & Xiaoming Wang, 2012. "Vulnerability of timber in ground contact to fungal decay under climate change," Climatic Change, Springer, vol. 115(3), pages 777-794, December.
    6. Xue, Jiayue & Mohammadi, Farshad & Li, Xin & Sahraei-Ardakani, Mostafa & Ou, Ge & Pu, Zhaoxia, 2020. "Impact of transmission tower-line interaction to the bulk power system during hurricane," Reliability Engineering and System Safety, Elsevier, vol. 203(C).
    7. Odin Foldvik Eikeland & Filippo Maria Bianchi & Inga Setså Holmstrand & Sigurd Bakkejord & Sergio Santos & Matteo Chiesa, 2022. "Uncovering Contributing Factors to Interruptions in the Power Grid: An Arctic Case," Energies, MDPI, vol. 15(1), pages 1-21, January.
    8. Anu Narayanan & M. Granger Morgan, 2012. "Sustaining Critical Social Services During Extended Regional Power Blackouts," Risk Analysis, John Wiley & Sons, vol. 32(7), pages 1183-1193, July.
    9. Dunn, Laurel N. & Sohn, Michael D. & LaCommare, Kristina Hamachi & Eto, Joseph H., 2019. "Exploratory analysis of high-resolution power interruption data reveals spatial and temporal heterogeneity in electric grid reliability," Energy Policy, Elsevier, vol. 129(C), pages 206-214.
    10. Zou, Qiling & Chen, Suren, 2019. "Enhancing resilience of interdependent traffic-electric power system," Reliability Engineering and System Safety, Elsevier, vol. 191(C).
    11. Vaurio, Jussi K., 2011. "Importance measures in risk-informed decision making: Ranking, optimisation and configuration control," Reliability Engineering and System Safety, Elsevier, vol. 96(11), pages 1426-1436.
    12. Leonardo Leoni & Farshad BahooToroody & Saeed Khalaj & Filippo De Carlo & Ahmad BahooToroody & Mohammad Mahdi Abaei, 2021. "Bayesian Estimation for Reliability Engineering: Addressing the Influence of Prior Choice," IJERPH, MDPI, vol. 18(7), pages 1-16, March.
    13. Majid Hashemi & Glenn Jenkins, 2021. "The Economic Benefits of Mitigating the Risk of Unplanned Power Outages," Working Paper 1468, Economics Department, Queen's University.
    14. Elie Bouri & Joseph El Assad, 2016. "The Lebanese Electricity Woes: An Estimation of the Economical Costs of Power Interruptions," Energies, MDPI, vol. 9(8), pages 1-12, July.
    15. Praktiknjo, Aaron J., 2014. "Stated preferences based estimation of power interruption costs in private households: An example from Germany," Energy, Elsevier, vol. 76(C), pages 82-90.
    16. Fant, Charles & Boehlert, Brent & Strzepek, Kenneth & Larsen, Peter & White, Alisa & Gulati, Sahil & Li, Yue & Martinich, Jeremy, 2020. "Climate change impacts and costs to U.S. electricity transmission and distribution infrastructure," Energy, Elsevier, vol. 195(C).
    17. Niu, Yi-Feng & Gao, Zi-You & Lam, William H.K., 2017. "A new efficient algorithm for finding all d-minimal cuts in multi-state networks," Reliability Engineering and System Safety, Elsevier, vol. 166(C), pages 151-163.
    18. Wu, Baichao & Tang, Aiping & Wu, Jie, 2016. "Modeling cascading failures in interdependent infrastructures under terrorist attacks," Reliability Engineering and System Safety, Elsevier, vol. 147(C), pages 1-8.
    19. Huang, Chao & Li, Liang, 2020. "Architectural design and analysis of a steer-by-wire system in view of functional safety concept," Reliability Engineering and System Safety, Elsevier, vol. 198(C).
    20. Xavier Labandeira & Baltazar Manzano, 2012. "Some Economic Aspects of Energy Security," European Research Studies Journal, European Research Studies Journal, vol. 0(4), pages 47-64.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:reensy:v:144:y:2015:i:c:p:319-333. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: https://www.journals.elsevier.com/reliability-engineering-and-system-safety .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.