A scheduling strategy for a new energy highway integrated network with clean green energy synergy

Li Ji, Yiwei Zhang, Ruifeng Shi, Limin Jia, Xin Zhang
{"title":"A scheduling strategy for a new energy highway integrated network with clean green energy synergy","authors":"Li Ji, Yiwei Zhang, Ruifeng Shi, Limin Jia, Xin Zhang","doi":"10.1108/srt-05-2022-0012","DOIUrl":null,"url":null,"abstract":"\nPurpose\nGreen energy as a transportation supply trend is irreversible. In this paper, a highway energy supply system (HESS) evolution model is proposed to provide highway transportation vehicles and service facilities with a clean electricity supply and form a new model of a source-grid-load-storage-charge synergistic highway-PV-WT integrated system (HPWIS). This paper aims to improve the flexibility index of highways and increase CO2 emission reduction of highways.\n\n\nDesign/methodology/approach\nTo maximize the integration potential, a new energy-generation, storage and information-integration station is established with a dynamic master–slave game model. The flexibility index is defined to evaluate the system ability to manage random fluctuations in power generation and load levels. Moreover, CO2 emission reduction is also quantified. Finally, the Lianhuo Expressway is taken as an example to calculate emission reduction and flexibility.\n\n\nFindings\nThe results show that through the application of the scheduling strategy to the HPWIS, the flexibility index of the Lianhuo Expressway increased by 29.17%, promoting a corresponding decrease in CO2 emissions.\n\n\nOriginality/value\nThis paper proposed a new model to capture the evolution of the HESS, which provides highway transportation vehicles and service facilities with a clean electricity supply and achieves energy transfer aided by an energy storage system, thus forming a new model of a transportation energy system with source-grid-load-storage-charge synergy. An evaluation method is proposed to improve the air quality index through the coordination of new energy generation and environmental conditions, and dynamic configuration and dispatch are achieved with the master–slave game model.\n","PeriodicalId":311971,"journal":{"name":"Smart and Resilient Transportation","volume":"34 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-08-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Smart and Resilient Transportation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1108/srt-05-2022-0012","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

Abstract

Purpose Green energy as a transportation supply trend is irreversible. In this paper, a highway energy supply system (HESS) evolution model is proposed to provide highway transportation vehicles and service facilities with a clean electricity supply and form a new model of a source-grid-load-storage-charge synergistic highway-PV-WT integrated system (HPWIS). This paper aims to improve the flexibility index of highways and increase CO2 emission reduction of highways. Design/methodology/approach To maximize the integration potential, a new energy-generation, storage and information-integration station is established with a dynamic master–slave game model. The flexibility index is defined to evaluate the system ability to manage random fluctuations in power generation and load levels. Moreover, CO2 emission reduction is also quantified. Finally, the Lianhuo Expressway is taken as an example to calculate emission reduction and flexibility. Findings The results show that through the application of the scheduling strategy to the HPWIS, the flexibility index of the Lianhuo Expressway increased by 29.17%, promoting a corresponding decrease in CO2 emissions. Originality/value This paper proposed a new model to capture the evolution of the HESS, which provides highway transportation vehicles and service facilities with a clean electricity supply and achieves energy transfer aided by an energy storage system, thus forming a new model of a transportation energy system with source-grid-load-storage-charge synergy. An evaluation method is proposed to improve the air quality index through the coordination of new energy generation and environmental conditions, and dynamic configuration and dispatch are achieved with the master–slave game model.
清洁绿色能源协同的新能源公路综合网络调度策略
绿色能源作为交通运输供给的趋势是不可逆转的。本文提出公路能源供应系统(HESS)演化模型,为公路运输车辆和服务设施提供清洁电力供应,形成源-网-负荷-蓄-荷协同的公路- pv - wt集成系统(HPWIS)新模型。本文旨在提高公路的灵活性指数,增加公路的CO2减排。设计/方法/方法为最大限度地发挥集成潜力,采用动态主从博弈模型,建立了一种新型的产储信息集成站。定义了柔性指标来评价系统管理发电量和负荷水平随机波动的能力。此外,对CO2的减排也进行了量化。最后以连火高速公路为例,进行了减排量和灵活性的计算。结果表明:将该调度策略应用于高速公路系统后,连火高速公路的灵活性指数提高了29.17%,促进了相应的CO2排放量的减少。原创性/价值本文提出了一个新的模型来捕捉高速公路运输车辆和服务设施的发展过程,为高速公路运输车辆和服务设施提供清洁的电力供应,并在储能系统的辅助下实现能量转移,从而形成源-网-负荷-蓄-电荷协同的交通能源系统新模型。提出了一种通过新能源发电与环境条件的协调来改善空气质量指标的评价方法,并利用主从博弈模型实现了动态配置和调度。
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
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:604180095
Book学术官方微信