首页|基于充电预约与分时电价的带时间窗电动车辆路径问题研究

基于充电预约与分时电价的带时间窗电动车辆路径问题研究

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本文考虑充电预约和分时电价,将客运需求的电动车辆路径问题建模为0-1的整数规划模型。模型中目标函数是最小化总运营成本,约束条件主要包括车辆路径约束、分时电价约束、充电预约约束等。基于遗传算法框架,设计了1个求解算法,计算后得出结论:(1)考虑分时电价时,EV充电时间会尽可能集中于电价低谷期;(2)进一步考虑充电预约,EV的总运营成本减少6。74%。
Electric Vehicle Routing Problem with Time Window Considering Charging Reservation under TOU Electricity Pricing
In this paper, the routing problem of electric vehicles for passenger transport is modeled as 0-1 integer programming model considering charging reservation and TOU. The objective function is to minimize the total operating cost, and the constraints mainly include vehicle path constraints, time-of-use price constraints, charging reservation constraints, etc. Based on the framework of genetic algorithm, a solution algorithm is designed. After calculation, it is concluded that: (1) when considering TOU price, EV charging time will be concentrated in the low price period as much as possible; (2) further consideration of charging reservations reduces the total operating cost of EV by 6.74%.

electric vehicleTOU electricity pricecharging reservationtime windowgenetic algorithm

邹岳、曾明华

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华东交通大学交通运输工程学院,江西南昌 330013

电动车辆 分时电价 充电预约 时间窗 遗传算法

2024

交通节能与环保
人民交通出版社股份有限公司,交通运输部公路科学研究院

交通节能与环保

影响因子:0.286
ISSN:1673-6478
年,卷(期):2024.20(2)
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