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Mobile energy storage systems with spatial–temporal flexibility for post-disaster recovery of power distribution systems: A bilevel optimization approach

Author

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  • Shen, Yueqing
  • Qian, Tong
  • Li, Weiwei
  • Zhao, Wei
  • Tang, Wenhu
  • Chen, Xingyu
  • Yu, Zeyuan

Abstract

In recent years, the damage to power distribution systems caused by the frequent occurrence of extreme disasters in the world cannot be ignored. In the face of the customer’s demand for high power supply reliability and high power quality, it is urgent to establish a resilient distribution network that can not only resist extreme disasters and quickly recover the power distribution system loads, but also ensure a high voltage quality of the distribution system during recovery process. Therefore, mobile energy storage systems with adequate spatial–temporal flexibility are added, and work in coordination with resources in an active distribution network and repair teams to establish a bilevel optimization model. The objective of the upper-level optimization model is minimum the total load curtailment of the distribution system after the disaster. And the objective of the lower-level optimization model is minimum the voltage offset of power supply buses during the recovery stage. A modified IEEE 33-bus distribution test system is used to verify this model. The simulation results show that the bilevel optimization strategy proposed in this research can effectively reduce the voltage offset during the recovery process of distribution systems, and ensure the minimum total load curtailment simultaneously.

Suggested Citation

  • Shen, Yueqing & Qian, Tong & Li, Weiwei & Zhao, Wei & Tang, Wenhu & Chen, Xingyu & Yu, Zeyuan, 2023. "Mobile energy storage systems with spatial–temporal flexibility for post-disaster recovery of power distribution systems: A bilevel optimization approach," Energy, Elsevier, vol. 282(C).
    • Handle: RePEc:eee:energy:v:282:y:2023:i:c:s0360544223016948
    DOI: 10.1016/j.energy.2023.128300
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    1. Jeon, Soi & Choi, Dae-Hyun, 2022. "Joint optimization of Volt/VAR control and mobile energy storage system scheduling in active power distribution networks under PV prediction uncertainty," Applied Energy, Elsevier, vol. 310(C).
    2. Clegg, J. & Smith, M. J., 2001. "Cone projection versus half-space projection for the bilevel optimisation of transportation networks," Transportation Research Part B: Methodological, Elsevier, vol. 35(1), pages 71-82, January.
    3. Wu, Hao & Xie, Yunyun & Xu, Yan & Wu, Qiuwei & Yu, Chen & Sun, Jinsheng, 2022. "Resilient scheduling of MESSs and RCs for distribution system restoration considering the forced cut-off of wind power," Energy, Elsevier, vol. 244(PB).
    4. Gilani, Mohammad Amin & Kazemi, Ahad & Ghasemi, Mostafa, 2020. "Distribution system resilience enhancement by microgrid formation considering distributed energy resources," Energy, Elsevier, vol. 191(C).
    5. Zhao, Baining & Qian, Tong & Tang, Wenhu & Liang, Qiheng, 2022. "A data-enhanced distributionally robust optimization method for economic dispatch of integrated electricity and natural gas systems with wind uncertainty," Energy, Elsevier, vol. 243(C).
    6. Nikoobakht, Ahmad & Aghaei, Jamshid, 2022. "Resilience promotion of active distribution grids under high penetration of renewables using flexible controllers," Energy, Elsevier, vol. 257(C).
    7. Pesaran H.A., Mahmoud & Nazari-Heris, Morteza & Mohammadi-Ivatloo, Behnam & Seyedi, Heresh, 2020. "A hybrid genetic particle swarm optimization for distributed generation allocation in power distribution networks," Energy, Elsevier, vol. 209(C).
    8. Qian, Tong & Chen, Xingyu & Xin, Yanli & Tang, Wenhu & Wang, Lixiao, 2022. "Resilient decentralized optimization of chance constrained electricity-gas systems over lossy communication networks," Energy, Elsevier, vol. 239(PB).
    9. Olabi, A.G. & Onumaegbu, C. & Wilberforce, Tabbi & Ramadan, Mohamad & Abdelkareem, Mohammad Ali & Al – Alami, Abdul Hai, 2021. "Critical review of energy storage systems," Energy, Elsevier, vol. 214(C).
    10. 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).
    11. Younesi, Abdollah & Shayeghi, Hossein & Safari, Amin & Siano, Pierluigi, 2020. "Assessing the resilience of multi microgrid based widespread power systems against natural disasters using Monte Carlo Simulation," Energy, Elsevier, vol. 207(C).
    12. Zhang, Yin & Qian, Tong & Tang, Wenhu, 2022. "Buildings-to-distribution-network integration considering power transformer loading capability and distribution network reconfiguration," Energy, Elsevier, vol. 244(PB).
    13. Esteban, Miguel & Portugal-Pereira, Joana, 2014. "Post-disaster resilience of a 100% renewable energy system in Japan," Energy, Elsevier, vol. 68(C), pages 756-764.
    14. Zamani Gargari, Milad & Tarafdar Hagh, Mehrdad & Ghassem Zadeh, Saeid, 2023. "Preventive scheduling of a multi-energy microgrid with mobile energy storage to enhance the resiliency of the system," Energy, Elsevier, vol. 263(PC).
    Full references (including those not matched with items on IDEAS)

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    3. Zhang, Pan & Mansouri, Seyed Amir & Rezaee Jordehi, Ahmad & Tostado-Véliz, Marcos & Alharthi, Yahya Z. & Safaraliev, Murodbek, 2024. "An ADMM-enabled robust optimization framework for self-healing scheduling of smart grids integrated with smart prosumers," Applied Energy, Elsevier, vol. 363(C).
    4. Wu, Ting & Zhuang, Heng & Huang, Qisheng & Xia, Shiwei & Zhou, Yue & Gan, Wei & Terzić, Jelena Stojković, 2025. "Routing and scheduling of mobile energy storage systems in active distribution network based on probabilistic voltage sensitivity analysis and Hall's theorem," Applied Energy, Elsevier, vol. 386(C).
    5. Zhao, Shihao & Li, Kang & Yin, Mingjia & Yu, James & Yang, Zhile & Li, Yihuan, 2024. "Transportable energy storage assisted post-disaster restoration of distribution networks with renewable generations," Energy, Elsevier, vol. 295(C).
    6. Xin Ning & Tianhao Zhu & Tong Kang & Jiran Zhu & Keyan Liu & Lijing Sun & Jinliang You & Xin Wang & Qi Guo, 2024. "Emergency Power Supply Management Strategy for Low-Performance Distribution Networks Based on Mobile Multi-Port Interconnection Equipment," Energies, MDPI, vol. 17(23), pages 1-12, November.
    7. Shi, Wenlong & Liang, Hao & Bittner, Myrna, 2024. "Dynamic microgrid formation for resilient distribution systems considering large-scale deployment of mobile energy resources," Applied Energy, Elsevier, vol. 362(C).
    8. Bingchao Zhang & Chunyang Gong & Songli Fan & Jian Wang & Tianyuan Yu & Zhixin Wang, 2025. "Research on Mobile Energy Storage Configuration and Path Planning Strategy Under Dual Source-Load Uncertainty in Typhoon Disasters," Energies, MDPI, vol. 18(19), pages 1-21, September.
    9. Du, Ying & Zhang, Junxiang & Chen, Yuntian & Liu, Zhengguang & Zhang, Haoran & Ji, Haoran & Wang, Chengshan & Yan, Jinyue, 2025. "Impact of electric vehicles on post-disaster power supply restoration of urban distribution systems," Applied Energy, Elsevier, vol. 383(C).
    10. Muhammad Usman Aslam & Md Sazal Miah & B. M. Ruhul Amin & Rakibuzzaman Shah & Nima Amjady, 2025. "Application of Energy Storage Systems to Enhance Power System Resilience: A Critical Review," Energies, MDPI, vol. 18(14), pages 1-54, July.
    11. Liu, Shan & Yan, Jie & Yan, Yamin & Zhang, Haoran & Zhang, Jing & Liu, Yongqian & Han, Shuang, 2024. "Joint operation of mobile battery, power system, and transportation system for improving the renewable energy penetration rate," Applied Energy, Elsevier, vol. 357(C).
    12. Yu Ji & Ying Zhang & Lei Chen & Juan Zuo & Wenbo Wang & Chongxin Xu, 2025. "The Optimal Dispatch for a Flexible Distribution Network Equipped with Mobile Energy Storage Systems and Soft Open Points," Energies, MDPI, vol. 18(11), pages 1-21, May.
    13. Junyu Liang & Jun Zhou & Xingyu Yuan & Wei Huang & Xinyong Gong & Guipeng Zhang, 2024. "An Active Distribution Network Voltage Optimization Method Based on Source-Network-Load-Storage Coordination and Interaction," Energies, MDPI, vol. 17(18), pages 1-18, September.

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