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A Framework for Reliability Assessment in Expansion Planning of Power Distribution Systems

Author

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  • Gustavo L. Aschidamini

    (Graduate Program in Electrical Engineering, Universidade Federal do Rio Grande do Sul, Porto Alegre CEP 90035-190, Brazil)

  • Gederson A. da Cruz

    (Graduate Program in Electrical Engineering, Universidade Federal do Rio Grande do Sul, Porto Alegre CEP 90035-190, Brazil)

  • Mariana Resener

    (Graduate Program in Electrical Engineering, Universidade Federal do Rio Grande do Sul, Porto Alegre CEP 90035-190, Brazil
    School of Sustainable Energy Engineering, Faculty of Applied Sciences, Simon Fraser University-Surrey Campus, Surrey, BC V3T 0N1, Canada)

  • Roberto C. Leborgne

    (Graduate Program in Electrical Engineering, Universidade Federal do Rio Grande do Sul, Porto Alegre CEP 90035-190, Brazil)

  • Luís A. Pereira

    (Graduate Program in Electrical Engineering, Universidade Federal do Rio Grande do Sul, Porto Alegre CEP 90035-190, Brazil)

Abstract

This article proposes a framework that uses analytical assessment of reliability to guide the expansion planning of power distribution systems (PDS) considering reliability criteria. The framework allows the estimation of reliability indices with and without the execution of expansion projects, thus supporting the decision-making process on investments in expansion projects. In the analytical assessment of reliability, failure rates of zones and restoration times are calculated from past data of interruptions in the primary distribution network. In addition, the estimated reliability indices are adjusted to historical values through failure rates proportionate to the length of each zone. To test and validate the proposed framework, it was applied to the distribution network at bus 5 of the Roy Billinton Test System (RBTS) and also to a real distribution feeder located in Brazil. The results indicated that the proposed framework can help define the most attractive investments leading to improvements in reliability indices and reduction in unsupplied energy. The estimation of reliability indices and energy not supplied, considered the following expansion alternatives: (i) the installation of normally-closed sectionalizing switches, (ii) the installation of normally-open switches with interconnection to adjacent feeders, (iii) the automation of switches, and (iv) the reconductoring of zones of the primary distribution network. Nevertheless, the proposed framework allows the inclusion of other expansion alternatives. Finally, the proposed framework proved to be handy and useful for real-life applications.

Suggested Citation

  • Gustavo L. Aschidamini & Gederson A. da Cruz & Mariana Resener & Roberto C. Leborgne & Luís A. Pereira, 2022. "A Framework for Reliability Assessment in Expansion Planning of Power Distribution Systems," Energies, MDPI, vol. 15(14), pages 1-24, July.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:14:p:5073-:d:860735
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    References listed on IDEAS

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    1. Gustavo L. Aschidamini & Gederson A. da Cruz & Mariana Resener & Maicon J. S. Ramos & Luís A. Pereira & Bibiana P. Ferraz & Sérgio Haffner & Panos M. Pardalos, 2022. "Expansion Planning of Power Distribution Systems Considering Reliability: A Comprehensive Review," Energies, MDPI, vol. 15(6), pages 1-29, March.
    2. Alberto Escalera & Edgardo D. Castronuovo & Milan Prodanović & Javier Roldán-Pérez, 2019. "Reliability Assessment of Distribution Networks with Optimal Coordination of Distributed Generation, Energy Storage and Demand Management," Energies, MDPI, vol. 12(16), pages 1-17, August.
    3. Rui Li & Wei Wang & Zhe Chen & Jiuchun Jiang & Weige Zhang, 2017. "A Review of Optimal Planning Active Distribution System: Models, Methods, and Future Researches," Energies, MDPI, vol. 10(11), pages 1-27, October.
    4. Ibrahim Alotaibi & Mohammed A. Abido & Muhammad Khalid & Andrey V. Savkin, 2020. "A Comprehensive Review of Recent Advances in Smart Grids: A Sustainable Future with Renewable Energy Resources," Energies, MDPI, vol. 13(23), pages 1-41, November.
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    Cited by:

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    2. Artis, Reza & Shivaie, Mojtaba & Weinsier, Philip D., 2024. "A flexible urban load density-dependent framework for low-carbon distribution expansion planning in the presence of hybrid hydrogen/battery/wind/solar energy systems," Applied Energy, Elsevier, vol. 364(C).

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