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Resilience assessment and enhancement evaluation of power distribution systems subjected to ice storms

Author

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  • Hou, Guangyang
  • Muraleetharan, Kanthasamy K.
  • Panchalogaranjan, Vinushika
  • Moses, Paul
  • Javid, Amir
  • Al-Dakheeli, Hussein
  • Bulut, Rifat
  • Campos, Richard
  • Harvey, P. Scott
  • Miller, Gerald
  • Boldes, Kirby
  • Narayanan, Maha

Abstract

Overhead power distribution systems are very susceptible to ice storms. Each year power outages due to ice storms result in extensive economical loss and restoration costs all around the world. Climate change and aging further highlight the need for resilient power distribution systems against ice storms. This paper proposes a probabilistic framework for assessing and evaluating the enhancements of the ice storm resilience of power distribution systems, with a focus on fragility modeling of power distribution components (i.e., power poles and wires). The framework is able to assess the impact of ice storms on the resilience of power distribution systems and evaluate the cost-effectiveness of resilience enhancement strategies such as upgrading poles and vegetation management. Specifically, the limitations of tree-induced risk assessment in previous studies are overcome by developing fragility models of tree-induced component failures and using an empirical tree damage fragility function. The fragility of distribution components subjected to ice storms is thoroughly investigated by considering four different failure modes and the effect of wind attack angle. The proposed framework is demonstrated with a power distribution network in Oklahoma.

Suggested Citation

  • Hou, Guangyang & Muraleetharan, Kanthasamy K. & Panchalogaranjan, Vinushika & Moses, Paul & Javid, Amir & Al-Dakheeli, Hussein & Bulut, Rifat & Campos, Richard & Harvey, P. Scott & Miller, Gerald & Bo, 2023. "Resilience assessment and enhancement evaluation of power distribution systems subjected to ice storms," Reliability Engineering and System Safety, Elsevier, vol. 230(C).
    • Handle: RePEc:eee:reensy:v:230:y:2023:i:c:s0951832022005798
    DOI: 10.1016/j.ress.2022.108964
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    1. Tabandeh, Armin & Sharma, Neetesh & Gardoni, Paolo, 2022. "Uncertainty propagation in risk and resilience analysis of hierarchical systems," Reliability Engineering and System Safety, Elsevier, vol. 219(C).
    2. Paraic C. Ryan & Mark G. Stewart, 2017. "Cost-benefit analysis of climate change adaptation for power pole networks," Climatic Change, Springer, vol. 143(3), pages 519-533, August.
    3. Hines, Paul & Apt, Jay & Talukdar, Sarosh, 2009. "Large blackouts in North America: Historical trends and policy implications," Energy Policy, Elsevier, vol. 37(12), pages 5249-5259, December.
    4. 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.
    5. Wu, Yangyang & Hou, Guangyang & Chen, Suren, 2021. "Post-earthquake resilience assessment and long-term restoration prioritization of transportation network," Reliability Engineering and System Safety, Elsevier, vol. 211(C).
    6. Sharma, Neetesh & Gardoni, Paolo, 2022. "Mathematical modeling of interdependent infrastructure: An object-oriented approach for generalized network-system analysis," Reliability Engineering and System Safety, Elsevier, vol. 217(C).
    7. Guangyang Hou & Suren Chen, 2020. "Probabilistic modeling of disrupted infrastructures due to fallen trees subjected to extreme winds in urban community," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 102(3), pages 1323-1350, July.
    8. 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.
    9. 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).
    10. Iannacone, Leandro & Sharma, Neetesh & Tabandeh, Armin & Gardoni, Paolo, 2022. "Modeling Time-varying Reliability and Resilience of Deteriorating Infrastructure," Reliability Engineering and System Safety, Elsevier, vol. 217(C).
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    4. Zhiwei Wang & Xiao Ma & Song Gao & Changjiang Wang & Shuguang Li, 2023. "Impact of the Operation of Distribution Systems on the Resilience Assessment of Transmission Systems under Ice Disasters," Energies, MDPI, vol. 16(9), pages 1-27, April.
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    6. Hughes, William & Watson, Peter L. & Cerrai, Diego & Zhang, Xinxuan & Bagtzoglou, Amvrossios & Zhang, Wei & Anagnostou, Emmanouil, 2024. "Assessing grid hardening strategies to improve power system performance during storms using a hybrid mechanistic-machine learning outage prediction model," Reliability Engineering and System Safety, Elsevier, vol. 248(C).

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