IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v17y2024i20p5020-d1495293.html
   My bibliography  Save this article

A Post-Disaster Fault Recovery Model for Distribution Networks Considering Road Damage and Dual Repair Teams

Author

Listed:
  • Wei Liu

    (School of Electrical Engineering, Southeast University, Nanjing 210096, China)

  • Qingshan Xu

    (School of Electrical Engineering, Southeast University, Nanjing 210096, China)

  • Minglei Qin

    (Nanjing Power Supply Company, State Jiangsu Electric Power Co., Ltd., Nanjing 210019, China)

  • Yongbiao Yang

    (School of Electrical Engineering, Southeast University, Nanjing 210096, China)

Abstract

Extreme weather, such as rainstorms, often triggers faults in the distribution network, and power outages occur. Some serious faults cannot be repaired by one team alone and may require equipment replacement or engineering construction crews to work together. Rainstorms can also lead to road damage or severe waterlogging, making some road sections impassable. Based on this, this paper first establishes a road network model to describe the dynamic changes in access performance and road damage. It provides the shortest time-consuming route suggestions for the traffic access of mobile class resources in the post-disaster recovery task of power distribution networks. Then, the model proposes a joint repair model with general repair crew (GRC) and senior repair crew (SRC) collaboration. Different types of faults match different functions of repair crews (RCs). Finally, the proposed scheme is simulated and analyzed in a road network and power grid extreme post-disaster recovery model, including a mobile energy storage system (MESS) and distributed power sources. The simulation finds that considering road damage and severe failures produces a significant difference in the progress and load loss of the recovery task. The model proposed in this paper is more suitable for the actual scenario requirements, and the simulation results and loss assessment obtained are more accurate and informative.

Suggested Citation

  • Wei Liu & Qingshan Xu & Minglei Qin & Yongbiao Yang, 2024. "A Post-Disaster Fault Recovery Model for Distribution Networks Considering Road Damage and Dual Repair Teams," Energies, MDPI, vol. 17(20), pages 1-23, October.
    • Handle: RePEc:gam:jeners:v:17:y:2024:i:20:p:5020-:d:1495293
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/17/20/5020/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/17/20/5020/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Cao, Wanyu & Wu, Jianzhong & Jenkins, Nick & Wang, Chengshan & Green, Timothy, 2016. "Operating principle of Soft Open Points for electrical distribution network operation," Applied Energy, Elsevier, vol. 164(C), pages 245-257.
    2. Lo, Hong K., 1999. "A novel traffic signal control formulation," Transportation Research Part A: Policy and Practice, Elsevier, vol. 33(6), pages 433-448, August.
    3. Xie, Shiwei & Hu, Zhijian & Wang, Jueying, 2020. "Two-stage robust optimization for expansion planning of active distribution systems coupled with urban transportation networks," Applied Energy, Elsevier, vol. 261(C).
    4. Tsapakis, Ioannis & Cheng, Tao & Bolbol, Adel, 2013. "Impact of weather conditions on macroscopic urban travel times," Journal of Transport Geography, Elsevier, vol. 28(C), pages 204-211.
    5. Cao, Wanyu & Wu, Jianzhong & Jenkins, Nick & Wang, Chengshan & Green, Timothy, 2016. "Benefits analysis of Soft Open Points for electrical distribution network operation," Applied Energy, Elsevier, vol. 165(C), pages 36-47.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Wang, Chengshan & Song, Guanyu & Li, Peng & Ji, Haoran & Zhao, Jinli & Wu, Jianzhong, 2017. "Optimal siting and sizing of soft open points in active electrical distribution networks," Applied Energy, Elsevier, vol. 189(C), pages 301-309.
    2. Ji, Haoran & Wang, Chengshan & Li, Peng & Song, Guanyu & Yu, Hao & Wu, Jianzhong, 2019. "Quantified analysis method for operational flexibility of active distribution networks with high penetration of distributed generators," Applied Energy, Elsevier, vol. 239(C), pages 706-714.
    3. Wang, Ke & Xue, Yixun & Zhou, Yue & Li, Zening & Chang, Xinyue & Sun, Hongbin, 2024. "Distributed coordinated reconfiguration with soft open points for resilience-oriented restoration in integrated electric and heating systems," Applied Energy, Elsevier, vol. 365(C).
    4. Gonzalez Venegas, Felipe & Petit, Marc & Perez, Yannick, 2021. "Active integration of electric vehicles into distribution grids: Barriers and frameworks for flexibility services," Renewable and Sustainable Energy Reviews, Elsevier, vol. 145(C).
    5. Ji, Haoran & Wang, Chengshan & Li, Peng & Zhao, Jinli & Song, Guanyu & Wu, Jianzhong, 2018. "Quantified flexibility evaluation of soft open points to improve distributed generator penetration in active distribution networks based on difference-of-convex programming," Applied Energy, Elsevier, vol. 218(C), pages 338-348.
    6. Su, Hongzhi & Wang, Chengshan & Li, Peng & Liu, Zhelin & Yu, Li & Wu, Jianzhong, 2019. "Optimal placement of phasor measurement unit in distribution networks considering the changes in topology," Applied Energy, Elsevier, vol. 250(C), pages 313-322.
    7. Aithal, Avinash & Li, Gen & Wu, Jianzhong & Yu, James, 2018. "Performance of an electrical distribution network with Soft Open Point during a grid side AC fault," Applied Energy, Elsevier, vol. 227(C), pages 262-272.
    8. Deakin, Matthew & Sarantakos, Ilias & Greenwood, David & Bialek, Janusz & Taylor, Phil C. & Walker, Sara, 2023. "Comparative analysis of services from soft open points using cost–benefit analysis," Applied Energy, Elsevier, vol. 333(C).
    9. Zhichun Yang & Fan Yang & Huaidong Min & Yu Shen & Xu Tang & Yun Hong & Liang Qin, 2023. "A Local Control Strategy for Voltage Fluctuation Suppression in a Flexible Interconnected Distribution Station Area Based on Soft Open Point," Sustainability, MDPI, vol. 15(5), pages 1-13, March.
    10. Wang, Chunling & Liu, Chunming & Zhou, Xiulin & Zhang, Gaoyuan, 2024. "Flexibility-based expansion planning of active distribution networks considering optimal operation of multi-community integrated energy systems," Energy, Elsevier, vol. 307(C).
    11. Bustos, Cristian & Watts, David & Olivares, Daniel, 2019. "The evolution over time of Distributed Energy Resource’s penetration: A robust framework to assess the future impact of prosumage under different tariff designs," Applied Energy, Elsevier, vol. 256(C).
    12. Bastami, Houman & Shakarami, Mahmoud Reza & Doostizadeh, Meysam, 2021. "A decentralized cooperative framework for multi-area active distribution network in presence of inter-area soft open points," Applied Energy, Elsevier, vol. 300(C).
    13. Shamam Alwash & Sarmad Ibrahim & Azher M. Abed, 2022. "Distribution System Reconfiguration with Soft Open Point for Power Loss Reduction in Distribution Systems Based on Hybrid Water Cycle Algorithm," Energies, MDPI, vol. 16(1), pages 1-22, December.
    14. Eshan Karunarathne & Jagadeesh Pasupuleti & Janaka Ekanayake & Dilini Almeida, 2021. "The Optimal Placement and Sizing of Distributed Generation in an Active Distribution Network with Several Soft Open Points," Energies, MDPI, vol. 14(4), pages 1-20, February.
    15. Escalera, Alberto & Prodanović, Milan & Castronuovo, Edgardo D. & Roldan-Perez, Javier, 2020. "Contribution of active management technologies to the reliability of power distribution networks," Applied Energy, Elsevier, vol. 267(C).
    16. Xiao, Jun & Zu, Guoqiang & Wang, Ying & Zhang, Xinsong & Jiang, Xun, 2020. "Model and observation of dispatchable region for flexible distribution network," Applied Energy, Elsevier, vol. 261(C).
    17. Zhengqi Wang & Haoyu Zhou & Hongyu Su, 2022. "Disturbance Observer-Based Model Predictive Super-Twisting Control for Soft Open Point," Energies, MDPI, vol. 15(10), pages 1-19, May.
    18. Qi, Qi & Wu, Jianzhong & Long, Chao, 2017. "Multi-objective operation optimization of an electrical distribution network with soft open point," Applied Energy, Elsevier, vol. 208(C), pages 734-744.
    19. Li, Peng & Ji, Haoran & Yu, Hao & Zhao, Jinli & Wang, Chengshan & Song, Guanyu & Wu, Jianzhong, 2019. "Combined decentralized and local voltage control strategy of soft open points in active distribution networks," Applied Energy, Elsevier, vol. 241(C), pages 613-624.
    20. Irina I. Picioroaga & Andrei M. Tudose & Dorian O. Sidea & Constantin Bulac, 2022. "Supply Restoration in Active Distribution Networks Based on Soft Open Points with Embedded DC Microgrids," Mathematics, MDPI, vol. 10(2), pages 1-21, January.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:17:y:2024:i:20:p:5020-:d:1495293. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.