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

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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.

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  • 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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    2. 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).
    3. 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).
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    5. 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 1-19, September.

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