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Optimal expansion planning of a self-healing distribution system considering resiliency investment alternatives

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  • Mohammadi Pour, Ahmad
  • Nazar, Mehrdad Setayesh
  • Shafie-khah, Miadreza
  • Vale, Zita

Abstract

This paper proposes a three-stage optimization framework for the expansion planning of a self-healing distribution system that determines the optimal characteristics of distributed generation, energy storage systems, electric vehicle charging stations, and sectionalizing switches for the planning horizon. The main contribution of this model is that the proposed model considers the resilient investment alternatives in the expansion planning exercise to reduce the system's vulnerability against external shocks. The mobile energy storage system commitment in contingent conditions is another contribution of this paper. In the first stage, the optimal location, capacity, and time of installation of the electricity facilities are calculated. Then, the optimal allocation of sectionalizing switches is performed in the second stage. The third stage consists of three levels. In the first and second levels, the optimal normal and contingent operational scheduling are determined, respectively. The system is sectionalized into multi-microgrid systems in contingent conditions. Finally, the resilient investment alternatives for the designed system are evaluated. The proposed model utilizes a self-healing index and resilient expansion planning index to assess the impacts of resilient investment alternatives on the operational scheduling conditions. The proposed model was evaluated using the IEEE 123-bus system. The proposed method reduced the estimated average value of the worst-case energy not supplied by 50.52 % for the 5th year of the planning horizon concerning the no-resiliency investment case. Further, the proposed resilience investment method increased the self-healing index by about 9.32 % concerning the no-resiliency investment case.

Suggested Citation

  • Mohammadi Pour, Ahmad & Nazar, Mehrdad Setayesh & Shafie-khah, Miadreza & Vale, Zita, 2024. "Optimal expansion planning of a self-healing distribution system considering resiliency investment alternatives," Energy, Elsevier, vol. 313(C).
    • Handle: RePEc:eee:energy:v:313:y:2024:i:c:s0360544224034030
    DOI: 10.1016/j.energy.2024.133625
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    References listed on IDEAS

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    1. Rahimi Sadegh, Ainollah & Setayesh Nazar, Mehrdad & Shafie-khah, Miadreza & Catalão, João P.S., 2022. "Optimal resilient allocation of mobile energy storages considering coordinated microgrids biddings," Applied Energy, Elsevier, vol. 328(C).
    2. Moradijoz, M. & Moghaddam, M. Parsa & Haghifam, M.R., 2018. "A flexible active distribution system expansion planning model: A risk-based approach," Energy, Elsevier, vol. 145(C), pages 442-457.
    3. Zakernezhad, Hamid & Nazar, Mehrdad Setayesh & Shafie-khah, Miadreza & Catalão, João P.S., 2021. "Multi-level optimization framework for resilient distribution system expansion planning with distributed energy resources," Energy, Elsevier, vol. 214(C).
    4. Huang, Nantian & Zhao, Xuanyuan & Guo, Yu & Cai, Guowei & Wang, Rijun, 2023. "Distribution network expansion planning considering a distributed hydrogen-thermal storage system based on photovoltaic development of the Whole County of China," Energy, Elsevier, vol. 278(C).
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    Cited by:

    1. Yu, De-Qi & Xiao, Jiang-Wen & Wang, Yan-Wu, 2025. "Resilience-promoting day-ahead schedule in coastal integrated energy system considering subjective uncertainty," Energy, Elsevier, vol. 328(C).
    2. Wen, Jiaxing & Jia, Rong & Jiao, Yang & Meng, Jinhao & Cheng, Shucan & Guo, Yi & Cao, Ge & Wang, Kaiyan, 2026. "Distributionally robust planning method for cyber-physical distribution system based on the coordinated recovery of multi-type resilience resources," Applied Energy, Elsevier, vol. 409(C).

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