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Power factor correction and load demand peak shaving in residential town using electric vehicles fleet in smart parking

机译:智能停车场使用电动车舰队的住宅镇功率因数校正和负荷需求峰值剃须

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摘要

This paper presents an algorithm for compensating the active and reactive power simultaneously in a real residential distribution household system using the amount of energy saved in plug-in hybrid electric vehicles (PHEVs) or in electric vehicles (EVs) parked in smart parking. The system and vehicle's specifications are discussed in separate sections. Moreover, the effects of the algorithm on active power peak shaving, reactive power compensation, and power factor correction are discussed as well. The economic effect of the algorithm on consumers' energy payment bills in Iran's distribution market is depicted in Section 6. Reactive power compensation leads into correction of power factor and power loss reduction. The main reason for connecting vehicles to grid is to charge them in their departure time to the desired state of charge (SOC). This algorithm guarantees that all vehicles will reach their desired state of charge at least half-hour before departure. Finally, the positive effect of the algorithm on all items is demonstrated.
机译:本文介绍了一种用于在现实住宅配送家用系统中同时补偿主动和无功功率的算法,使用插入式混合动力电动汽车(PHEV)或停放在智能停车位的电动车辆(EVS)中的能量。系统和车辆的规格在单独的部分中讨论。此外,还讨论了算法对有源功率峰值剃须,无功功率补偿和功率因数校正的影响。伊朗消费者能源支付账单算法的经济效益在第6章中描述了无功补偿导致功率因数和功率损失减少的校正。将车辆连接到网格的主要原因是将它们的出发时间充电到所需的充电状态(SOC)。该算法保证所有车辆将在出发前至少半小时达到期望的最终充电状态。最后,证明了算法对所有物品的积极效果。

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