Parallel-Execute-Based Real-time Energy Management Strategy for FTPSS integrated PV and ESS

IF 10.1 1区 工程技术 Q1 ENERGY & FUELS Applied Energy Pub Date : 2025-02-18 DOI:10.1016/j.apenergy.2025.125538
Junhao Li , Qi Guo , Xin Wang , Chunming Tu , Fan Xiao , Yuchao Hou , Xia Shen
{"title":"Parallel-Execute-Based Real-time Energy Management Strategy for FTPSS integrated PV and ESS","authors":"Junhao Li ,&nbsp;Qi Guo ,&nbsp;Xin Wang ,&nbsp;Chunming Tu ,&nbsp;Fan Xiao ,&nbsp;Yuchao Hou ,&nbsp;Xia Shen","doi":"10.1016/j.apenergy.2025.125538","DOIUrl":null,"url":null,"abstract":"<div><div>Constructing a flexible traction power supply system (FTPSS) integrating railway power conditioner (RPC), energy storage system (ESS), and photovoltaic (PV) is essential to realize low-carbon and economical railway transportation. However, the existing rule-based energy management strategies (EMS) only focus on RPC and ESS, whose applicability and economy are limited for FTPSS accessed PV. In addition, the operational optimization model of FTPSS is complex and data-intensive, resulting in the existing optimization EMS being mostly poor at reliability and timeliness. To this end, a parallel-execute-based real-time EMS for FTPSS integrated ESS and PV is proposed. First, the real-time collaborative management of PV, ESS, and RPC is realized with the improved rule-based EMS. Then, considering the operation cost and the three-phase voltage unbalance rate (TVUR), the multi-objective optimization model of FTPSS is built. Further, a coordination mechanism between the rule-based and optimization EMS is proposed. By executing the rule-based and optimization EMS in parallel and switching their reference commands within the real-time management time threshold, the EMS's reliability, timeliness, and economy performance can be improved simultaneously. Finally, the proposed EMS is verified based on the measured data from a traction station.</div></div>","PeriodicalId":246,"journal":{"name":"Applied Energy","volume":"385 ","pages":"Article 125538"},"PeriodicalIF":10.1000,"publicationDate":"2025-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Applied Energy","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0306261925002685","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENERGY & FUELS","Score":null,"Total":0}
引用次数: 0

Abstract

Constructing a flexible traction power supply system (FTPSS) integrating railway power conditioner (RPC), energy storage system (ESS), and photovoltaic (PV) is essential to realize low-carbon and economical railway transportation. However, the existing rule-based energy management strategies (EMS) only focus on RPC and ESS, whose applicability and economy are limited for FTPSS accessed PV. In addition, the operational optimization model of FTPSS is complex and data-intensive, resulting in the existing optimization EMS being mostly poor at reliability and timeliness. To this end, a parallel-execute-based real-time EMS for FTPSS integrated ESS and PV is proposed. First, the real-time collaborative management of PV, ESS, and RPC is realized with the improved rule-based EMS. Then, considering the operation cost and the three-phase voltage unbalance rate (TVUR), the multi-objective optimization model of FTPSS is built. Further, a coordination mechanism between the rule-based and optimization EMS is proposed. By executing the rule-based and optimization EMS in parallel and switching their reference commands within the real-time management time threshold, the EMS's reliability, timeliness, and economy performance can be improved simultaneously. Finally, the proposed EMS is verified based on the measured data from a traction station.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
求助全文
约1分钟内获得全文 去求助
来源期刊
Applied Energy
Applied Energy 工程技术-工程:化工
CiteScore
21.20
自引率
10.70%
发文量
1830
审稿时长
41 days
期刊介绍: Applied Energy serves as a platform for sharing innovations, research, development, and demonstrations in energy conversion, conservation, and sustainable energy systems. The journal covers topics such as optimal energy resource use, environmental pollutant mitigation, and energy process analysis. It welcomes original papers, review articles, technical notes, and letters to the editor. Authors are encouraged to submit manuscripts that bridge the gap between research, development, and implementation. The journal addresses a wide spectrum of topics, including fossil and renewable energy technologies, energy economics, and environmental impacts. Applied Energy also explores modeling and forecasting, conservation strategies, and the social and economic implications of energy policies, including climate change mitigation. It is complemented by the open-access journal Advances in Applied Energy.
期刊最新文献
A novel frequency-domain physics-informed neural network for accurate prediction of 3D Spatio-temporal wind fields in wind turbine applications The user-side energy storage investment under subsidy policy uncertainty Performance and stability of renewable fuel production via H2O electrolysis and H2O–CO2 co-electrolysis using proton-conducting solid oxide electrolysis cells A novel multivariable prognostic approach for PEMFC degradation and remaining useful life prediction using random forest and temporal convolutional network Multi-view graph contrastive representative learning for intrusion detection in EV charging station
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1