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The integration of a massive number of small-scale wind turbines and plug-in electric vehicles (PEVs) brought about urgent technical challenge to power distribution network operators (DNOs) in terms of secure power supply and energy dispatching optimization. In this paper, we exploited three coordinated wind-PEV energy dispatching approaches in the vehicle-to-grid (V2G) context, i.e., valley searching, interruptible and variable-rate energy dispatching, aiming to promote the user demand response through optimizing the utilization efficiency of wind power generation as well as meeting the dynamic power demands. This issue is addressed in a stochastic framework considering the uncertainties of wind power generation as well as the statistical PEV driving patterns. The performances of the proposed solutions are assessed through a comparative study through numerical simulation experiments covering sufficient system scenarios by the use of scenario generation and reduction techniques. The result demonstrates that the energy dispatch based on the latter two approaches can achieve better matching between power generation and demands as well as PEV user satisfaction. In addition, the suggested approaches can be adopted by DNOs in practice with minimal deployment hurdles to promote the energy supplies within microgrid with wind power sources and PEVs.