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Effects of large scale EV and PV integration on power supply systems in the context of Singapore

机译:大型EV和PV集成对新加坡背景下电源系统的影响

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Electric vehicles (EVs) are a key technology to reduce dependency on oil imports as well as to diminish environmental effects of individual transportation. Especially in megacities like Singapore where travel distances are moderate, this new mode of transportation is often discussed as a future option. This paper investigates possible effects of large scale EV integration on the power supply system. A unit commitment model combined with an integrated approach for smart charging is used. The mixed-integer linear programming (MILP) formulated unit commitment algorithm cooptimizes energy, regulation, and spinning reserve power. The effects of different charging strategies on the power plant scheduling are analyzed. The power system infrastructure is kept at status quo in a baseline scenario and extended to future scenarios with intermittent photovoltaics (PV) power. Effects on power plants scheduling are evaluated by measuring resulting variable cost of electricity as well as CO2-emissions. Moreover, effects of EVs providing regulation and spinning reserve by controllable charging are investigated.
机译:电动车(EVS)是减少石油进口依赖的关键技术,以及减少个体运输的环境影响。特别是在新加坡这样的巨型场所,旅行距离适中,这种新的运输方式通常被讨论为未来的选择。本文调查了大规模EV集成对电源系统的影响。使用单位承诺模型与智能充电的集成方法相结合。混合整数线性编程(MILP)配制的单位承诺算法将能源,调节和纺纱储备功率共同化。分析了不同充电策略对电厂调度的影响。电力系统基础设施在基线场景中保持状态QUO,并扩展到具有间歇光伏(PV)功率的未来情景。通过测量所产生的电力成本以及CO 2 -Emissions来评估对发电厂调度的影响。此外,研究了EVS提供调节和纺纱储备通过可控充电的影响。

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