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.
Due to differences in resource endowments and economic development levels among regions in China, it is crucial to fully consider regional differences and select a reasonable allocation method for achieving the establishment of a unified national carbon market in 2016. This article attempts to seek a new allocation method for carbon emissions rights through the ZSGDEA model, with electricity as input and GDP and population as output. Based on the evaluation results of the model, we compared the differences in quota allocation, fairness, and efficiency between the grandfather method and the efficiency method, providing reference for the establishment and effective operation of a unified national carbon trading market.
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