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An Optimized EV Charging Model Considering TOU Price and SOC Curve

机译:考虑分时电价和SOC曲线的电动汽车优化充电模型

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Large-scale deployment of electric vehicles (EVs) is anticipated in the foreseeable future. Heavy intermittent charging load of EVs will create bottlenecks in supplying capacity and expose power system to severe security risks. In this paper, we propose an intelligent method to control EV charging loads in response to time-of-use (TOU) price in a regulated market. First, an optimized charging model is formulated to minimize the charging cost. Then, a heuristic method is implemented to minimize the charging cost considering the relation between the acceptable charging power of EV battery and the state of charge (SOC). Finally, the charging cost and energy demand in different time intervals are compared for both typical charging pattern and optimized charging pattern. Results show that the optimized charging pattern has great benefit in reducing cost and flatting the load curve if the peak and valley time periods are partitioned appropriately.
机译:在可预见的将来,预计将大规模部署电动汽车(EV)。电动汽车的间歇性高充电负荷将造成供应能力瓶颈,并使电力系统面临严重的安全风险。在本文中,我们提出了一种智能方法来控制电动汽车的充电负荷,以响应规范市场中的分时电价(TOU)。首先,制定优化的充电模型以最小化充电成本。然后,考虑到EV电池的可接受充电功率和充电状态(SOC)之间的关系,实施启发式方法以最小化充电成本。最后,比较典型充电模式和优化充电模式在不同时间间隔内的充电成本和能量需求。结果表明,如果对高峰时段和低谷时段进行了适当的划分,则优化的充电方式在降低成本和使负载曲线平坦方面具有很大的优势。

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