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<p>Emergency resources refer to resources used to restore the normal operation of the distribution network after an extreme disaster. Existing research on distribution network resilience enhancement strategies primarily focuses on a single stage and a single type of emergency resource. This paper proposes a two-stage resilience enhancement strategy for distribution networks that consider the coordinated scheduling of multiple emergency resources. In the pre-disaster stage, based on disaster-predicted fault scenarios and considering the uncertainty of wind and solar power generation, a two-stage robust optimization model is proposed to minimize the cost of load power curtailment and mobile energy storage operation. This model determines the pre-disaster positioning of mobile energy storage. In the post-disaster stage, considering the coupling between the distribution network and the transportation network, a dynamic recovery model for coordinated scheduling of multiple emergency resources is established to optimize power output and resource dispatch at each time period after the disaster. Finally, simulation experiments are conducted on the modified IEEE 33-bus test system and the corresponding transportation network to verify the effectiveness of the proposed strategy. The results show that the strategy significantly enhances the recovery capability of the distribution network, reduces load curtailment costs, and improves system resilience.</p>

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Two-stage distribution system resilience improvement strategy considering coordinated scheduling of multiple types of emergency resources

  • 期刊论文

  • 发表日期：

    2026年7月30日

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  • Li Huang,
  • Meng Wang,
  • Lingyun Wang

摘要

Emergency resources refer to resources used to restore the normal operation of the distribution network after an extreme disaster. Existing research on distribution network resilience enhancement strategies primarily focuses on a single stage and a single type of emergency resource. This paper proposes a two-stage resilience enhancement strategy for distribution networks that consider the coordinated scheduling of multiple emergency resources. In the pre-disaster stage, based on disaster-predicted fault scenarios and considering the uncertainty of wind and solar power generation, a two-stage robust optimization model is proposed to minimize the cost of load power curtailment and mobile energy storage operation. This model determines the pre-disaster positioning of mobile energy storage. In the post-disaster stage, considering the coupling between the distribution network and the transportation network, a dynamic recovery model for coordinated scheduling of multiple emergency resources is established to optimize power output and resource dispatch at each time period after the disaster. Finally, simulation experiments are conducted on the modified IEEE 33-bus test system and the corresponding transportation network to verify the effectiveness of the proposed strategy. The results show that the strategy significantly enhances the recovery capability of the distribution network, reduces load curtailment costs, and improves system resilience.