System Efficient Energy Regulation and Control for Reversible Substations in Urban Rail System

IF 8.3 1区 工程技术 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC IEEE Transactions on Transportation Electrification Pub Date : 2024-12-17 DOI:10.1109/TTE.2024.3519336
Qian Xu;Wei Liu;Juxia Ding;Zhongbei Tian;Jian Zhang;Xiaodong Zhang;Ashfaque Ahmed Bhatti
{"title":"System Efficient Energy Regulation and Control for Reversible Substations in Urban Rail System","authors":"Qian Xu;Wei Liu;Juxia Ding;Zhongbei Tian;Jian Zhang;Xiaodong Zhang;Ashfaque Ahmed Bhatti","doi":"10.1109/TTE.2024.3519336","DOIUrl":null,"url":null,"abstract":"The system efficiency of reversible substations (RSSs) in urban rail transit power supply systems has garnered significant attention. In particular, reverse power flow from the main substation (MS) has been observed in the real world, adversely impacting system efficiency. This article proposes a novel power supply structure for RSSs that effectively reduces reverse power flow. To further enhance system efficiency, an optimal model is established by leveraging the control characteristics of RSSs. Then, a system efficiency energy regulation and control framework considering complex scenarios is presented, with the lowest system losses as the optimization objective. The modified Cheetah Optimizer algorithm is adopted to optimize the control parameters of reversible converters (RCs). Simulations of actual engineering cases are conducted, and the results demonstrate the effectiveness of the proposed power supply solution and energy regulation control in various scenarios. The proposed method can improve energy efficiency by up to 3.25% and 2% compared with nonoptimized and existing offline optimized methods, and this value varies depending on the scenario. Additionally, performance analysis and evaluation highlight the fundamentals of energy regulation in enhancing system efficiency, including balancing bus load, appropriately increasing catenary voltage, and adjusting the proportion of regenerative braking energy (RBE) between the ac and dc sides based on different situations.","PeriodicalId":56269,"journal":{"name":"IEEE Transactions on Transportation Electrification","volume":"11 2","pages":"6916-6928"},"PeriodicalIF":8.3000,"publicationDate":"2024-12-17","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/10804855/","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

The system efficiency of reversible substations (RSSs) in urban rail transit power supply systems has garnered significant attention. In particular, reverse power flow from the main substation (MS) has been observed in the real world, adversely impacting system efficiency. This article proposes a novel power supply structure for RSSs that effectively reduces reverse power flow. To further enhance system efficiency, an optimal model is established by leveraging the control characteristics of RSSs. Then, a system efficiency energy regulation and control framework considering complex scenarios is presented, with the lowest system losses as the optimization objective. The modified Cheetah Optimizer algorithm is adopted to optimize the control parameters of reversible converters (RCs). Simulations of actual engineering cases are conducted, and the results demonstrate the effectiveness of the proposed power supply solution and energy regulation control in various scenarios. The proposed method can improve energy efficiency by up to 3.25% and 2% compared with nonoptimized and existing offline optimized methods, and this value varies depending on the scenario. Additionally, performance analysis and evaluation highlight the fundamentals of energy regulation in enhancing system efficiency, including balancing bus load, appropriately increasing catenary voltage, and adjusting the proportion of regenerative braking energy (RBE) between the ac and dc sides based on different situations.
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
城市轨道系统可逆变电站的系统高效能量调节与控制
可逆变电站在城市轨道交通供电系统中的系统效率问题已引起人们的广泛关注。特别是,在现实世界中已经观察到主变电站(MS)的反向潮流,对系统效率产生不利影响。本文提出了一种新的rss电源结构,可以有效地减少反向潮流。为了进一步提高系统效率,利用rss的控制特性建立了最优模型。然后,以系统损失最小为优化目标,提出了考虑复杂情景的系统效率能量调控框架。采用改进的Cheetah Optimizer算法对可逆变换器的控制参数进行优化。通过实际工程实例的仿真,验证了所提出的供电方案和能量调节控制在各种场景下的有效性。与非优化方法和现有离线优化方法相比,本文提出的方法可将能源效率提高3.25%和2%,并且该数值根据场景而变化。此外,性能分析与评价强调了提高系统效率的能量调节基础,包括平衡母线负载、适当提高接触网电压、根据不同情况调整交直流侧制动再生能量(RBE)比例。
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
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.
期刊最新文献
A short-term EV charging load forecast method based on Kolmogorov–Arnold Spatiotemporal Attention Recurrent Network A Generalized and Robust Online SOH Estimation Framework for Lithium-ion Batteries under Dynamic Conditions A Non-Ecap Wide Range Bidirectional OBC With Multi-function Circuit Decoupled Measurement Method of Windage and Bearing Losses in High-Speed Electric Machines for Heavy-Duty Automotive Applications Online Fault Severity Estimation of Interturn Short-Circuits in PMSMs based on EKF
×
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:604180095
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