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Interruption flows for reliability evaluation of power distribution networks

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  • Fábio Luiz Usberti

    (University of Campinas)

  • Celso Cavellucci

    (University of Campinas)

  • Christiano Lyra

    (University of Campinas)

Abstract

Energy networks should strive for reliability. How can it be assessed, measured, and improved? What are the best trade-offs between investments and their worth? The flow-based framework for the reliability assessment of energy networks proposed in this paper addresses these questions with a focus on power distribution networks. The framework introduces the concept of iflows, or interruption flows, which translate the analytical reliability evaluation into solving a series of node balance equations computable in linear time. The iflows permeate the network, providing relevant information to support linear formulations of reliability optimization problems. Numerical examples showcase the evaluation process obtained through iflows in illustrative distribution networks with distributed generation. A new visual representation of the reliability state, called iflow diagram, provides insights into the most vulnerable regions of the network. The methodology was validated by a practical application of the iflows on the optimal allocation of switches in power distribution systems. Computational experiments were conducted using a benchmark of distribution networks, having up to 881 nodes. The results confirm the effectiveness of the approach in terms of providing high-quality information and optimal trade-offs to aid reliability decisions for energy networks.

Suggested Citation

  • Fábio Luiz Usberti & Celso Cavellucci & Christiano Lyra, 2023. "Interruption flows for reliability evaluation of power distribution networks," Operational Research, Springer, vol. 23(1), pages 1-23, March.
    • Handle: RePEc:spr:operea:v:23:y:2023:i:1:d:10.1007_s12351-023-00758-w
    DOI: 10.1007/s12351-023-00758-w
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    References listed on IDEAS

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    1. Juanwei, Chen & Tao, Yu & Yue, Xu & Xiaohua, Cheng & Bo, Yang & Baomin, Zhen, 2019. "Fast analytical method for reliability evaluation of electricity-gas integrated energy system considering dispatch strategies," Applied Energy, Elsevier, vol. 242(C), pages 260-272.
    2. Adefarati, T. & Bansal, R.C., 2017. "Reliability assessment of distribution system with the integration of renewable distributed generation," Applied Energy, Elsevier, vol. 185(P1), pages 158-171.
    3. Lin, Jin & Cheng, Lin & Chang, Yao & Zhang, Kai & Shu, Bin & Liu, Guangyi, 2014. "Reliability based power systems planning and operation with wind power integration: A review to models, algorithms and applications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 31(C), pages 921-934.
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