@inproceedings{c878e533e82f472a82549e7b8f215791,
title = "Investigation into the willingness to accept of electric vehicle (EV) users to engage in vehicle-to-grid (V2G) participation",
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.",
keywords = "choice experiment, Electric vehicle, vehicle-to-grid, willingness to accept",
author = "Bo Wang and Fuhua Nie and Kaining Sun and Jiucun Yuan",
note = "Publisher Copyright: {\textcopyright} 2024 SPIE.; 2023 International Conference on Computer Application and Information Security, ICCAIS 2023 ; Conference date: 20-12-2023 Through 22-12-2023",
year = "2024",
doi = "10.1117/12.3025703",
language = "English",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
publisher = "SPIE",
editor = "Lin, \{Jerry Chun-Wei\} and Haidong Shao",
booktitle = "International Conference on Computer Application and Information Security, ICCAIS 2023",
address = "United States",
}