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Non-convex dynamic economic/environmental dispatch with plug-in electric vehicle loads

机译:带插件式电动汽车负载的非凸动态经济/环境调度

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Electric vehicles are a key prospect for future transportation. A large penetration of electric vehicles has the potential to reduce the global fossil fuel consumption and hence the greenhouse gas emissions and air pollution. However, the additional stochastic loads imposed by plug-in electric vehicles will possibly introduce significant changes to existing load profiles. In his paper, electric vehicles loads are integrated into an 5-unit system using a non-convex dynamic dispatch model. The actual infrastructure characteristics including valve-point effects, load balance constrains and transmission loss have been included in the model. Multiple load profiles are comparatively studied and compared in terms of economic and environmental impacts in order o identify patterns to charge properly. The study as expected shows ha off-peak charging is the best scenario with respect to using less fuels and producing less emissions.
机译:电动汽车是未来运输的关键前景。电动汽车的广泛普及有可能减少全球化石燃料的消耗,从而减少温室气体的排放和空气污染。然而,由插入式电动车辆施加的额外随机负载可能会对现有负载曲线产生重大变化。在他的论文中,使用非凸动态调度模型将电动汽车负载集成到一个5单元系统中。该模型包括了实际的基础设施特征,包括阀点效应,负载平衡约束和传输损耗。对多个负载曲线进行了比较研究,并根据经济和环境影响进行了比较,以便确定适当充电的方式。预期的研究表明,就使用更少的燃料和产生更少的排放而言,非高峰充电是最佳方案。

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