A Resilience Entropy-Based Framework for V2G Charging Station Siting and Resilient Reconfiguration of Power Distribution Networks Under Disasters

In the post-disaster recovery of power distribution networks (PDNs), electric vehicles (EVs) possess a great potential as mobile energy storage units. When supported by vehicle-to-grid (V2G)-enabled charging stations, EVs can provide effective supplementary power for disaster-stricken areas. However, most existing stations only support unidirectional charging, limiting the resilience-enhancing potential of V2G. To address this gap, this paper proposes a resilience-oriented restoration optimization model that jointly considers the siting of V2G-enabled charging stations and PDN topology reconfiguration. A novel metric—Resilience Entropy—is introduced to dynamically characterize the recovery process. The model explicitly describes fault propagation and circuit breaker operations, while incorporating power flow and radial topology constraints to ensure secure operation. EV behavioral uncertainty is also considered to enhance model adaptability under real-world post-disaster conditions. The optimal siting scheme is obtained by solving the proposed model. Case studies demonstrate the model’s effectiveness in improving post-disaster supply and recovery efficiency, and analyze the impact of user participation willingness on V2G-based restoration.

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Publication Details

Journal
World Electric Vehicle Journal
Published
2025-09-19
DOI
https://doi.org/10.3390/wevj16090532
Citations
2
Primary Topic
Infrastructure Resilience and Vulnerability Analysis
Type
article
Field-Weighted Citation Impact
1.91
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article

A Resilience Entropy-Based Framework for V2G Charging Station Siting and Resilient Reconfiguration of Power Distribution Networks Under Disasters

Guowei Guo, Chu-Tao Zheng, Fei Chen, Xilin Yang et al.
2 citations
World Electric Vehicle Journal
Infrastructure Resilience and Vulnerability Analysis
1.91
article

A Resilience Entropy-Based Framework for V2G Charging Station Siting and Resilient Reconfiguration of Power Distribution Networks Under Disasters

Guowei Guo, Chu-Tao Zheng, Fei Chen, Xilin Yang, Cong Chen, Zeli Xi
article en
2 citations

Abstract

In the post-disaster recovery of power distribution networks (PDNs), electric vehicles (EVs) possess a great potential as mobile energy storage units. When supported by vehicle-to-grid (V2G)-enabled charging stations, EVs can provide effective supplementary power for disaster-stricken areas. However, most existing stations only support unidirectional charging, limiting the resilience-enhancing potential of V2G. To address this gap, this paper proposes a resilience-oriented restoration optimization model that jointly considers the siting of V2G-enabled charging stations and PDN topology reconfiguration. A novel metric—Resilience Entropy—is introduced to dynamically characterize the recovery process. The model explicitly describes fault propagation and circuit breaker operations, while incorporating power flow and radial topology constraints to ensure secure operation. EV behavioral uncertainty is also considered to enhance model adaptability under real-world post-disaster conditions. The optimal siting scheme is obtained by solving the proposed model. Case studies demonstrate the model’s effectiveness in improving post-disaster supply and recovery efficiency, and analyze the impact of user participation willingness on V2G-based restoration.

World Electric Vehicle JournalVol. 16(9)
China Southern Power Grid (China) (CN)
Openalex Percentile: Top 13%
Infrastructure Resilience and Vulnerability Analysis
1.91
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