Routing and Scheduling of Smart Mobile Power Banks for Mobile Charging and Vehicle-to-Grid Services

IF 8.3 1区工程技术 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC IEEE Transactions on Transportation Electrification Pub Date : 2025-01-27 DOI:10.1109/TTE.2025.3535500

Yuyang Wan;Yuanyuan Hu;Xueshan Liu;Qun Zhou;Ning Wang;Yanbo Wang;Zhe Chen

{"title":"Routing and Scheduling of Smart Mobile Power Banks for Mobile Charging and Vehicle-to-Grid Services","authors":"Yuyang Wan;Yuanyuan Hu;Xueshan Liu;Qun Zhou;Ning Wang;Yanbo Wang;Zhe Chen","doi":"10.1109/TTE.2025.3535500","DOIUrl":null,"url":null,"abstract":"In modern power grids, mobile energy storage system (MESS) is essential for meeting the growing demand for electric vehicle (EV) charging infrastructure and maintaining reliable power supply during grid failures. For better utilization of MESS, this article proposes a multimode management scheme to maximize the profit of smart mobile power banks (SMPBs), where SMPB is a multifunctional mobile energy storage unit. A temporal-spatial model is proposed to facilitate the routing and scheduling of SMPBs, combining mobile charging, green hydrogen production, and vehicle-to-grid (V2G) functions. The proposed model couples a power network and a transportation network based on the network flow theory, where the shortest paths can be obtained by the Floyd-Warshall algorithm. Furthermore, the spectral-clustering-based mobile charging and mobile V2G scheme are developed for SMPB. Finally, an optimal routing and scheduling of SMPB with integer and linear decisions is proposed considering real-time electricity prices, photovoltaic (PV) fluctuations, road conditions, flexible charging power for EV, and battery degradation, which is designed for swift resolution using commercial solvers. The effectiveness and economy of the proposed scheme are demonstrated through detailed case studies.","PeriodicalId":56269,"journal":{"name":"IEEE Transactions on Transportation Electrification","volume":"11 3","pages":"8054-8064"},"PeriodicalIF":8.3000,"publicationDate":"2025-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Transactions on Transportation Electrification","FirstCategoryId":"5","ListUrlMain":"https://ieeexplore.ieee.org/document/10855498/","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}

引用次数: 0

Abstract

In modern power grids, mobile energy storage system (MESS) is essential for meeting the growing demand for electric vehicle (EV) charging infrastructure and maintaining reliable power supply during grid failures. For better utilization of MESS, this article proposes a multimode management scheme to maximize the profit of smart mobile power banks (SMPBs), where SMPB is a multifunctional mobile energy storage unit. A temporal-spatial model is proposed to facilitate the routing and scheduling of SMPBs, combining mobile charging, green hydrogen production, and vehicle-to-grid (V2G) functions. The proposed model couples a power network and a transportation network based on the network flow theory, where the shortest paths can be obtained by the Floyd-Warshall algorithm. Furthermore, the spectral-clustering-based mobile charging and mobile V2G scheme are developed for SMPB. Finally, an optimal routing and scheduling of SMPB with integer and linear decisions is proposed considering real-time electricity prices, photovoltaic (PV) fluctuations, road conditions, flexible charging power for EV, and battery degradation, which is designed for swift resolution using commercial solvers. The effectiveness and economy of the proposed scheme are demonstrated through detailed case studies.

查看原文

微信好友朋友圈 QQ好友复制链接

本刊更多论文

面向移动充电和车对网服务的智能移动电源的路由与调度

在现代电网中，移动储能系统（MESS）是满足日益增长的电动汽车充电基础设施需求和在电网故障时保持可靠供电的关键。为了更好地利用MESS，本文提出了一种多模式管理方案，使smart mobile power banks （SMPB）的利润最大化，其中SMPB是一个多功能移动储能单元。结合移动充电、绿色制氢和车辆到电网（V2G）功能，提出了一种时空模型，以方便smpb的路由和调度。该模型基于网络流理论，将电网和交通网络耦合在一起，通过Floyd-Warshall算法获得最短路径。在此基础上，提出了基于频谱聚类的SMPB移动充电和移动V2G方案。最后，综合考虑实时电价、光伏波动、路况、电动汽车灵活充电功率和电池退化等因素，提出了SMPB的整数和线性最优路径和调度方法，并利用商业求解器快速求解。通过详细的案例分析，论证了该方案的有效性和经济性。

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分钟内获得全文去求助

来源期刊

IEEE Transactions on Transportation Electrification Engineering-Electrical and Electronic Engineering

CiteScore

12.20

自引率

15.70%

发文量

449

期刊介绍： IEEE Transactions on Transportation Electrification is focused on components, sub-systems, systems, standards, and grid interface technologies related to power and energy conversion, propulsion, and actuation for all types of electrified vehicles including on-road, off-road, off-highway, and rail vehicles, airplanes, and ships.