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Co-optimization of repairs and dynamic network reconfiguration for improved distribution system resilience

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Listed:
  • Shi, Qingxin
  • Li, Fangxing
  • Dong, Jin
  • Olama, Mohammed
  • Wang, Xiaofei
  • Winstead, Chris
  • Kuruganti, Teja

Abstract

In this paper, a post-disaster distribution system repair and restoration (DSRR) strategy is proposed to improve distribution system resilience. The DSRR strategy is formulated as a two-stage optimization. The first stage is a comprehensive co-optimization of repair crew scheduling, dynamic network reconfiguration, and distributed energy resource (DER) dispatch based on the forecast load profile. The goal is to minimize the accumulative operating cost caused by the load reduction payment as well as DER operating cost. In particular, since the number of available repair crews is usually smaller than the number of faulted lines after a disaster event, the DSRR strategy determines the optimal scheduling for repairing faulted lines. The second stage is a re-dispatch of the DER power output and load shedding based on the real-time load demand of each bus. The proposed algorithm is validated by case studies of the IEEE 33-bus and 123-bus test systems. We consider those scenarios in which faults occur in multiple heavy-loaded feeders. The simulation results demonstrate that the DSRR strategy effectively coordinate the repair scheduling, network reconfiguration and load shedding to minimize the operating cost.

Suggested Citation

  • Shi, Qingxin & Li, Fangxing & Dong, Jin & Olama, Mohammed & Wang, Xiaofei & Winstead, Chris & Kuruganti, Teja, 2022. "Co-optimization of repairs and dynamic network reconfiguration for improved distribution system resilience," Applied Energy, Elsevier, vol. 318(C).
    • Handle: RePEc:eee:appene:v:318:y:2022:i:c:s0306261922006043
    DOI: 10.1016/j.apenergy.2022.119245
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    References listed on IDEAS

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    Cited by:

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    2. Wu, Wenjie & Hou, Hui & Zhu, Shaohua & Liu, Qin & Wei, Ruizeng & He, Huan & Wang, Lei & Luo, Yingting, 2024. "An intelligent power grid emergency allocation technology considering secondary disaster and public opinion under typhoon disaster," Applied Energy, Elsevier, vol. 353(PA).
    3. Dong, Lei & Sun, Shiting & Zhang, Shiming & Zhang, Tao & Pu, Tianjiao, 2024. "Distributed restoration for integrated electricity-gas-heating energy systems with an iterative loop scheme," Energy, Elsevier, vol. 304(C).
    4. Libin Yang & Zhengxi Li & Tingxiang Liu & Na An & Wanpeng Zhou & Yang Si, 2024. "Two-Stage Robust Resilience Enhancement of Distribution System against Line Failures via Hydrogen Tube Trailers," Energies, MDPI, vol. 17(20), pages 1-14, October.
    5. Wu, Chuantao & Wang, Tao & Zhou, Dezhi & Cao, Shankang & Sui, Quan & Lin, Xiangning & Li, Zhengtian & Wei, Fanrong, 2023. "A distributed restoration framework for distribution systems incorporating electric buses," Applied Energy, Elsevier, vol. 331(C).
    6. Sun, Xiaojun & Lin, Sheng & Feng, Ding & Zhang, Qiang, 2024. "Post-disaster repair optimization method for traction power supply system of electrified railways based on train operation loss," Reliability Engineering and System Safety, Elsevier, vol. 250(C).
    7. Yang, Yesen & Li, Zhengmao & Mandapaka, Pradeep V. & Lo, Edmond Y.M., 2023. "Risk-averse restoration of coupled power and water systems with small pumped-hydro storage and stochastic rooftop renewables," Applied Energy, Elsevier, vol. 339(C).

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