Paper
8 April 2024 Investigation into the willingness to accept of electric vehicle (EV) users to engage in vehicle-to-grid (V2G) participation
Bo Wang, Fuhua Nie, Kaining Sun, Jiucun Yuan
Author Affiliations +
Proceedings Volume 13090, International Conference on Computer Application and Information Security (ICCAIS 2023); 1309013 (2024) https://doi.org/10.1117/12.3025703
Event: International Conference on Computer Application and Information Security (ICCAIS 2023), 2023, Wuhan, China
Abstract
Electric vehicle users play a crucial role in the interaction between electric vehicles and the power grid. Therefore, it is highly significant to design a discharge subsidy method that aligns with their willingness to accept compensation, thereby enhancing the incentive mechanism for vehicle-to-grid interaction. This study utilizes questionnaire data from electric vehicle users in a specific city and employs the choice experiment method to construct a model for their participation in grid interaction based on six attributes: discharge season, discharge time, discharge period, discharge amount, and discharge frequency. The random parameter Logit model is utilized to analyze the willingness to accept (WTA) of EV users towards different discharge schemes. These findings provide valuable insights for improving the compensation mechanism associated with EV integration into the power grid.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Bo Wang, Fuhua Nie, Kaining Sun, and Jiucun Yuan "Investigation into the willingness to accept of electric vehicle (EV) users to engage in vehicle-to-grid (V2G) participation", Proc. SPIE 13090, International Conference on Computer Application and Information Security (ICCAIS 2023), 1309013 (8 April 2024); https://doi.org/10.1117/12.3025703
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KEYWORDS
Design

Power grids

Batteries

Data modeling

Decision making

Statistical modeling

Sustainability

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