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In order to improve the low-carbon and economic benefits of electric vehicles (EV), this paper proposes a cooperative dispatch model of electric vehicles and wind power. The objectives of the model include the lowest carbon emissions, the lowest cost of thermal power and the lowest equivalent load variance. In addition, EV carbon emission reduction benefits are taken into account including the carbon emissions of the whole life cycle and the carbon trading mechanism. Finally, multiobjective particle swarm optimization (MPSO) algorithm is applied to achieve the optimal charging strategy of EV and comparison analysis is carried out with fuel vehicles and the scenarios of disordered charging of electric vehicles. The results verifies the superiority of the model in economic and environmental efficiency in a practical case. Keywords—electric vehicles; carbon trading; wind power; lowcarbon economic dispatch

Wind Power Cooperative Scheduling Strategy Considering the Life Cycle Carbon Emissions of EV