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

机译:考虑到EV的生命周期碳排放的风力职能协作调度策略

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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, multi-objective 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.
机译:为了提高电动汽车的低碳和经济效益(EV),本文提出了一种电动汽车和风动力的合作调度模型。 该模型的目标包括最低的碳排放,最低的热功率成本和最低的等效负载方差。 此外,EV碳排放减少效益被考虑在内,包括整个生命周期和碳交易机制的碳排放。 最后,应用了多目标粒子群优化(MPSO)算法以实现EV的最佳充电策略,并且使用燃料车辆和电动车辆混乱充电的场景进行比较分析。 结果在实际案例中验证了经济和环境效率模型的优势。

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