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Resilience-Oriented Framework for Microgrid Planning in Distribution Systems

Author

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  • Eun-Tae Son

    (Department of Electrical Engineering, Dongshin University, Naju 58245, Korea)

  • In-Su Bae

    (Department of Electrical Engineering, Kangwon National University, Samcheok 25913, Korea)

  • Sung-Yul Kim

    (Department of Electrical Energy Engineering, Keimyung University, Daegu 42601, Korea)

  • Dong-Min Kim

    (Department of Electrical Engineering, Dongshin University, Naju 58245, Korea)

Abstract

Recently, it has been suggested that microgrids (MGs) can improve the resilience of distribution systems. However, predictions about future faults are uncertain. This makes calculating the exact value of the benefits of system resilience enhancement close to impossible at the time of MG planning. Therefore, this paper proposes a framework for MG planning, which focuses on resilience estimation. To consider the uncertainties of future failure events, the proposed method for estimating the resilience utilized the Monte Carlo simulation. In addition, an optimal scenario was estimated using a cost–benefit analysis and constraints on the expected value of resilience enhancement. In the case study, an actual MG installation at D-university was evaluated to obtain the optimal MG planning scenario. The results show that the capacity and installation locations of the distributed generators (DGs) impact the resilience enhancement. The proposed method can effectively derive the optimal MG planning scenario by evaluating the possibility of future operations based on the segmentation of both the system configuration and type of DG to improve the resilience of distribution systems.

Suggested Citation

  • Eun-Tae Son & In-Su Bae & Sung-Yul Kim & Dong-Min Kim, 2022. "Resilience-Oriented Framework for Microgrid Planning in Distribution Systems," Energies, MDPI, vol. 15(6), pages 1-17, March.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:6:p:2145-:d:771731
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    References listed on IDEAS

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    1. Xiong Wu & Shuo Shi & Zhao Wang, 2019. "Microgrid Planning Considering the Supply Adequacy of Critical Loads under the Uncertain Formation of Sub-Microgrids," Sustainability, MDPI, vol. 11(17), pages 1-21, August.
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    Cited by:

    1. Jin-Li Hu, 2022. "Energy Resilience in Presence of Natural and Social Uncertainties," Energies, MDPI, vol. 15(18), pages 1-3, September.
    2. Ahmed Sulaiman Alsafran, 2023. "A Feasibility Study of Implementing IEEE 1547 and IEEE 2030 Standards for Microgrid in the Kingdom of Saudi Arabia," Energies, MDPI, vol. 16(4), pages 1-15, February.

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