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Reconceptualizing Reliability Indices as Metrics to Quantify Power Distribution System Resilience

Author

Listed:
  • Gerald A. Abantao

    (Electrical and Electronics Engineering Institute, University of the Philippines Diliman, Quezon City 1101, Philippines)

  • Jessa A. Ibañez

    (Energy Engineering Program, National Graduate School of Engineering, University of the Philippines Diliman, Quezon City 1101, Philippines)

  • Paul Eugene Delfin C. Bundoc

    (Department of Electrical Engineering, University of the Philippines Los Baños, Los Baños 4031, Philippines)

  • Lean Lorenzo F. Blas

    (Electrical and Electronics Engineering Institute, University of the Philippines Diliman, Quezon City 1101, Philippines)

  • Xaviery N. Penisa

    (Department of Chemical Engineering, College of Engineering, University of the Philippines Diliman, Quezon City 1101, Philippines)

  • Eugene A. Esparcia

    (Department of Chemical Engineering, College of Engineering, University of the Philippines Diliman, Quezon City 1101, Philippines)

  • Michael T. Castro

    (Department of Chemical Engineering, College of Engineering, University of the Philippines Diliman, Quezon City 1101, Philippines)

  • Roger Victor E. Buendia

    (Energy Engineering Program, National Graduate School of Engineering, University of the Philippines Diliman, Quezon City 1101, Philippines
    Deceased author.)

  • Karl Ezra S. Pilario

    (Department of Chemical Engineering, College of Engineering, University of the Philippines Diliman, Quezon City 1101, Philippines)

  • Adonis Emmanuel D. Tio

    (Electrical and Electronics Engineering Institute, University of the Philippines Diliman, Quezon City 1101, Philippines)

  • Ivan Benedict Nilo C. Cruz

    (Electrical and Electronics Engineering Institute, University of the Philippines Diliman, Quezon City 1101, Philippines)

  • Joey D. Ocon

    (Department of Chemical Engineering, College of Engineering, University of the Philippines Diliman, Quezon City 1101, Philippines)

  • Carl Michael F. Odulio

    (Electrical and Electronics Engineering Institute, University of the Philippines Diliman, Quezon City 1101, Philippines)

Abstract

In regions heavily affected by recurrent typhoons, the need for more resilient electricity infrastructure is pressing. This emphasizes the importance of integrating resilience assessment, including incorporating resilience metrics, into the planning process of power distribution systems against any disruptive events. Although standardized metrics exist for assessing distribution system reliability, the absence of formalized resilience metrics hampers informed investments in critical infrastructure such as microgrid development. In this work, a set of resilience metrics is proposed by reconceptualizing reliability metrics. The metrics were formulated to account for both the type of extreme event and its specific impact on loads with varying levels of criticality. The effectiveness of the proposed metrics is demonstrated through a Philippine microgrid case study. A Monte Carlo framework incorporating an extreme event model, component fragility model, and system response model was used to quantify the resilience improvement before and after stand-alone microgrid operation of the power distribution system. Results show that the proposed metrics can effectively evaluate resilience enhancement and highlight the value of a holistic approach of considering critical loads and types of extreme events to strengthen societal and community resilience, making a compelling case for strategic investments in infrastructure upgrades such as microgrids.

Suggested Citation

  • Gerald A. Abantao & Jessa A. Ibañez & Paul Eugene Delfin C. Bundoc & Lean Lorenzo F. Blas & Xaviery N. Penisa & Eugene A. Esparcia & Michael T. Castro & Roger Victor E. Buendia & Karl Ezra S. Pilario , 2024. "Reconceptualizing Reliability Indices as Metrics to Quantify Power Distribution System Resilience," Energies, MDPI, vol. 17(8), pages 1-13, April.
    • Handle: RePEc:gam:jeners:v:17:y:2024:i:8:p:1909-:d:1377301
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    References listed on IDEAS

    as
    1. Kang, Dongbum & Ko, Kyungnam & Huh, Jongchul, 2015. "Determination of extreme wind values using the Gumbel distribution," Energy, Elsevier, vol. 86(C), pages 51-58.
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