On Charging Scheduling Optimization for a Wirelessly Charged Electric Bus System

On Charging Scheduling Optimization for a Wirelessly Charged Electric Bus System
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无线充电电动公交系统充电调度优化研究

DOI:
10.1109/tits.2017.2740329
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发表时间:
2018
影响因子:
8.5
通讯作者:
Shengli Xie
Shengli Xie
中科院分区:
工程技术1区
文献类型:
--
作者:
Chao Yang;Wei Lou;Junmei Yao;Shengli Xie

文献摘要

被引文献

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近年来,将无线充电电动公交车引入公共交通系统引起了人们的广泛关注。无线充电技术将能量从电源发射器传输到道路上的电动汽车,为解决阻碍电动汽车应用的两大关键问题——大尺寸电池的巨大成本和充电时间长,提供了一种很有前景的解决方案。然而,wceb的系统成本是巨大的。在电力需求动态和电价波动的情况下,系统运行的电力成本很大程度上取决于充电计划。本文根据典型的日前电力市场,在考虑日前电网特性的基础上,探讨了以系统运行电力成本最小为目标的最优充电调度方案。电力价格在空间和时间上随能源需求的累积而波动。我们首先提出了一种提前一天预留批发电力的确定算法,其中,假设wceb的平均速度。然后,提出了一种最优充电调度算法,该算法对WCEB各插槽的充电调度顺序进行优化。槽内的预留电量和预测速度都被使用了。仿真结果验证了所提出的WCEB充电方案的有效性。
The introduction of wirelessly charged electric buses (WCEBs) into current public transportation system attracts many attentions in recent years. As the wireless charging technology enables energy transfer from power transmitters to electric vehicles (EVs) on road, it provides a promising solution to reduce the huge cost of battery with large size and long charging time, which are two critical impediments for EV applications. However, the system cost of WCEBs is huge. Under the dynamic electricity demands and the fluctuating electricity prices, the system operating electricity cost highly depends on the charging schedule. In this paper, according to the typical day-ahead electricity market, we explore an optimal charging scheduling scheme in a WCEB system to minimize the system operating electricity cost, while the characteristic of WCEBs is considered. The price of electricity fluctuates with the accumulated energy demands in both spatial and temporal domains. We first present a day-ahead reserved wholesale electricity determination algorithm, in which, the average speeds of WCEBs are presumed. Then, we propose an optimal charging scheduling algorithm, in which the WCEB charging schedules in slots are optimized sequentially. Both the reserved electricity and the predicted speeds in the slot are used. Simulation results demonstrate the efficiency of our proposed WCEB charging schedules.