面对风电和电动汽车大规模接入对电网的安全经济运行带来的挑战，文中以运行成本最小、污染物排放最低为目标，建立了风电 － 电动汽车协同调度的多目标安全约束机组组合模型( SCUC) ． 将可充放电的电动汽车作为可优化调度单元，建立虚拟电价策略，以充电成本最小为目标来制定合理的充放电计划; 使用模糊机会约束规划来描述风电的间歇性和不确定性，通过电动汽车充放电平抑风电波动，降低机组出力调整的频率，提高了电网安全运行的经济性． 仿真结果表明，该模型可以很好地利用各因素之间的互补性，提高风电利用率，实现更好的经济、环境效益．

In view of the impact of the large-scale access of wind power and electric vehicles on power grids,a multi-objective security-constrained unit commitment model based on the co-scheduling of the wind power and the electric vehicles (EVs) is constructed by taking the lowest operating cost and the lowest pollution emission as the objectives.In the model,by regarding a charging and discharging electric vehicle as an optimal scheduling unit,a virtual electricity pricing strategy is established to make a reasonable charge and discharge plan with the goal of minimizing the charge cost.Then,a fuzzy chance-constrained program is used to describe the intermittency and uncertainty of the wind power,and the vehicle-to-gird (V2G) method is adopted to stabilize the wind power fluc- tuation and reduce the adjusting frequency of the unit,thus improving the economy of the power grids in a safe ope- ration.Simulation results demonstrate that the constructed model can utilize the complementarity between various factors to promote the utilization of the wind power and thus achieve better economic and environmental benefits.