Abstract: The integration of large-scale intermittent power sources such as wind power, photovoltaics, and distributed energy storage into the power grid has brought great impacts on the safe and stable operation of the power system, one of which is the increasing regulation requirements. Due to the limitation of ramp constraints, the traditional regulation ancillary services provided by the thermal units has the characteristics of low regulation speed and accelerated aging, which makes it difficult to meet the regulation requirements. Electric vehicles (EV) can be controlled directly by the grid and participate in the vehicle-to-grid (V2G) interactions, which have the ability to respond to the system commands quickly to provide regulation ancillary services. In order to better match the regulation requirements of the power system, a two-stage stochastic optimal scheduling model of joint regulation with the electric vehicles and the units considering the EV users enthusiasm is proposed based on the behavior characteristics of EV users in this paper. The proposed model realizes the complementarity of the thermal units and the electric vehicles in regulation capacity and regulation speed. The dynamic scenario method is used to generate a dynamic scenario set with the regulation signal data of Guangdong Power Grid. The simulation analysis is performed in the IEEE 39-bus system, which verifies the correctness and effectiveness of the proposed scheduling model.