Vehicle-to-Grid (V2G) under the management of electric vehicle (EV) aggregators has great potential to interact with renewable energy generation. This interactive mode could create enormous economic and social benefits, however, it lacks appropriate business model as a support. In this paper, a business model based on cooperation among EV users, aggregators, electric companies and wind farms was proposed. Under constraints of EV users' charging demand and discharging compensation, curtailed wind power profile and unit ramp rate, aday-ahead optimal scheduling formulation for aggregators to maximize their expected revenue was established. An algorithm which can solve this kind of nonlinear mixed integer programming problem was also proposed. Simulation based on data from the Beijing- Tianjin-Tangshan power grid is conducted and the results prove the effectiveness of the proposed business and scheduling models and the accuracy of proposed algorithm.