Simulink verification of Robust Control Strategy for V2G Bidirectional Converter under Electromagnetic Interference

The V2G system realizes vehicle-to-grid interaction and uses the stored energy of electric vehicles as a buffer between the power grid and renewable energy. However, the differential mode/common mode interference in the bidirectional energy conversion process can have negative impacts on the power grid ecology, on-board equipment, etc. Therefore, this paper proposes a strategy combining an interference observer (DOB) and $\mathrm{H}_{\infty}$ robust control for estimating and compensating electromagnetic interference. The simulation verified its superiority in steady-state accuracy, dynamic response and anti-interference, and improved the robustness of the V2G system.

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Publication Details

Published
2025-06-20
DOI
https://doi.org/10.1109/icetac65964.2025.11144401
Primary Topic
Power Systems and Renewable Energy
Type
article
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Simulink verification of Robust Control Strategy for V2G Bidirectional Converter under Electromagnetic Interference

Shirui Chen, Tianming Xu, Yonghan Zhang
Power Systems and Renewable Energy
article

Simulink verification of Robust Control Strategy for V2G Bidirectional Converter under Electromagnetic Interference

Shirui Chen, Tianming Xu, Yonghan Zhang
article en

Abstract

The V2G system realizes vehicle-to-grid interaction and uses the stored energy of electric vehicles as a buffer between the power grid and renewable energy. However, the differential mode/common mode interference in the bidirectional energy conversion process can have negative impacts on the power grid ecology, on-board equipment, etc. Therefore, this paper proposes a strategy combining an interference observer (DOB) and $\mathrm{H}_{\infty}$ robust control for estimating and compensating electromagnetic interference. The simulation verified its superiority in steady-state accuracy, dynamic response and anti-interference, and improved the robustness of the V2G system.

Nanjing Normal University (CN), Huazhong Agricultural University (CN), Xi'an Technological University (CN)
Openalex Percentile: Top 75%
Power Systems and Renewable Energy
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