Optimal charging plan for electric bus considering time-of-day electricity tariff

Yuhan Liu;Linhong Wang;Ziling Zeng;Yiming Bie
{"title":"Optimal charging plan for electric bus considering time-of-day electricity tariff","authors":"Yuhan Liu;Linhong Wang;Ziling Zeng;Yiming Bie","doi":"10.1108/JICV-04-2022-0008","DOIUrl":null,"url":null,"abstract":"Purpose - The purpose of this study is to develop an optimization method for charging plans with the implementation of time-of-day (TOD) electricity tariff, to reduce electricity bill. Design/methodology/approach - Two optimization models for charging plans respectively with fixed and stochastic trip travel times are developed, to minimize the electricity costs of daily operation of an electric bus. The charging time is taken as the optimization variable. The TOD electricity tariff is considered, and the energy consumption model is developed based on real operation data. An optimal charging plan provides charging times at bus idle times in operation hours during the whole day (charging time is 0 if the bus is not get charged at idle time) which ensure the regular operation of every trip served by this bus. Findings - The electricity costs of the bus route can be reduced by applying the optimal charging plans. Originality/value - This paper produces a viable option for transit agencies to reduce their operation costs.","PeriodicalId":100793,"journal":{"name":"Journal of Intelligent and Connected Vehicles","volume":"5 2","pages":"123-137"},"PeriodicalIF":0.0000,"publicationDate":"2022-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/iel7/9944931/10004541/10004550.pdf","citationCount":"14","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Intelligent and Connected Vehicles","FirstCategoryId":"1085","ListUrlMain":"https://ieeexplore.ieee.org/document/10004550/","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 14

Abstract

Purpose - The purpose of this study is to develop an optimization method for charging plans with the implementation of time-of-day (TOD) electricity tariff, to reduce electricity bill. Design/methodology/approach - Two optimization models for charging plans respectively with fixed and stochastic trip travel times are developed, to minimize the electricity costs of daily operation of an electric bus. The charging time is taken as the optimization variable. The TOD electricity tariff is considered, and the energy consumption model is developed based on real operation data. An optimal charging plan provides charging times at bus idle times in operation hours during the whole day (charging time is 0 if the bus is not get charged at idle time) which ensure the regular operation of every trip served by this bus. Findings - The electricity costs of the bus route can be reduced by applying the optimal charging plans. Originality/value - This paper produces a viable option for transit agencies to reduce their operation costs.
考虑日内电价的电动客车最优充电方案
目的——本研究的目的是开发一种优化充电计划的方法,实施一天中的时间(TOD)电价,以降低电费。设计/方法/方法-开发了两个分别具有固定和随机行程时间的充电计划优化模型,以最大限度地降低电动公交车日常运营的电力成本。充电时间作为优化变量。考虑了TOD电价,并根据实际运行数据建立了能耗模型。最佳充电计划提供了全天运营时间内公交车空闲时间的充电时间(如果公交车在空闲时间未充电,则充电时间为0),以确保该公交车服务的每一次出行的正常运行。调查结果-通过应用最佳充电计划,可以降低公交线路的电力成本。独创性/价值-本文为运输机构降低运营成本提供了一个可行的选择。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
CiteScore
7.10
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信