A Collaborative Load Recovery Method for Power-Transportation Systems

To improve the load recovery effect in post-disaster cities, a collaborative load recovery method for power-transportation system is proposed. First, based on the building envelope and the power-transportation network, a collaborative load recovery model is established. Then, considering the auxiliary role of road repair and electric buses, a three-stage collaborative load recovery strategy is proposed. Finally, a typical failure scenario is used to verify the superiority of the proposed strategy.

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Publication Details

Published
2024-11-29
DOI
https://doi.org/10.1109/ei264398.2024.10991442
Primary Topic
Power Systems and Technologies
Type
article
Field-Weighted Citation Impact
0.00

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article

A Collaborative Load Recovery Method for Power-Transportation Systems

Xiangyu Zhai, Zening Li, Liping Chang, Xinying Qin et al.
Power Systems and Technologies
article

A Collaborative Load Recovery Method for Power-Transportation Systems

Xiangyu Zhai, Zening Li, Liping Chang, Xinying Qin, Hongbin Sun, Bing Ding
article en

Abstract

To improve the load recovery effect in post-disaster cities, a collaborative load recovery method for power-transportation system is proposed. First, based on the building envelope and the power-transportation network, a collaborative load recovery model is established. Then, considering the auxiliary role of road repair and electric buses, a three-stage collaborative load recovery strategy is proposed. Finally, a typical failure scenario is used to verify the superiority of the proposed strategy.

Taiyuan University of Technology (CN)
National Natural Science Foundation of China
Affordable and clean energy
Openalex Percentile: Top 72%
Power Systems and Technologies
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