Robust Cooperative Operation of Community Microgrids With Electric Vehicle Battery Charging Stations and Swapping Stations

The coordination of electric vehicle battery charging stations (BCSs), battery swapping stations (BSSs), and residential buildings (RBs) within a community microgrid (CM) presents a significant opportunity to enhance system flexibility and reduce operational costs. However, the randomness of user behaviors and the intermittency of renewable energy pose threats to the stability of the CMs. This article investigates the robust cooperative operation of CMs with BCSs and BSSs, allowing for energy sharing. First, a robust energy management framework utilizing cooperative game theory is developed among a BCS, a BSS, and a set of RBs within a CM, achieving proactive energy sharing and fair distribution of benefits. Then, an alternating direction method of multipliers algorithm combined with robust optimization is designed to address the energy management problem in a distributed manner, ensuring the protection of private data and enhancing system robustness. Finally, numerical examples verify the effectiveness and superiority of the proposed method. In comparison with the noncooperative benchmark, the proposed method achieves a reduction in operational costs of 5.69%, 9.1%, and 8.48% for the BCS, BSS, and RBs, respectively.

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Publication Details

Journal
IEEE Transactions on Industrial Informatics
Published
2025-04-29
DOI
https://doi.org/10.1109/tii.2025.3552718
Citations
4
Primary Topic
Electric Vehicles and Infrastructure
Type
article
Field-Weighted Citation Impact
2.92

Funders

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article

Robust Cooperative Operation of Community Microgrids With Electric Vehicle Battery Charging Stations and Swapping Stations

Dunfeng Zhang, Weiming Fu, Jiahu Qin, Yanni Wan et al.
4 citations
IEEE Transactions on Industrial Informatics
Electric Vehicles and Infrastructure
2.92
article

Robust Cooperative Operation of Community Microgrids With Electric Vehicle Battery Charging Stations and Swapping Stations

Dunfeng Zhang, Weiming Fu, Jiahu Qin, Yanni Wan, Ruitian Han
article en
4 citations

Abstract

The coordination of electric vehicle battery charging stations (BCSs), battery swapping stations (BSSs), and residential buildings (RBs) within a community microgrid (CM) presents a significant opportunity to enhance system flexibility and reduce operational costs. However, the randomness of user behaviors and the intermittency of renewable energy pose threats to the stability of the CMs. This article investigates the robust cooperative operation of CMs with BCSs and BSSs, allowing for energy sharing. First, a robust energy management framework utilizing cooperative game theory is developed among a BCS, a BSS, and a set of RBs within a CM, achieving proactive energy sharing and fair distribution of benefits. Then, an alternating direction method of multipliers algorithm combined with robust optimization is designed to address the energy management problem in a distributed manner, ensuring the protection of private data and enhancing system robustness. Finally, numerical examples verify the effectiveness and superiority of the proposed method. In comparison with the noncooperative benchmark, the proposed method achieves a reduction in operational costs of 5.69%, 9.1%, and 8.48% for the BCS, BSS, and RBs, respectively.

IEEE Transactions on Industrial InformaticsVol. 21(8)
University of Science and Technology of China (CN), Ningxia University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 9%
Electric Vehicles and Infrastructure
2.92
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