A coordinated control strategy and dynamic characteristics of coal-fired units coupled with the S-CO2 energy storage cycle

IF 10.1 1区 工程技术 Q1 ENERGY & FUELS Applied Energy Pub Date : 2024-07-05 DOI:10.1016/j.apenergy.2024.123812
Di Wang , Xinrui Han , Long Si , Yu Zhou
{"title":"A coordinated control strategy and dynamic characteristics of coal-fired units coupled with the S-CO2 energy storage cycle","authors":"Di Wang ,&nbsp;Xinrui Han ,&nbsp;Long Si ,&nbsp;Yu Zhou","doi":"10.1016/j.apenergy.2024.123812","DOIUrl":null,"url":null,"abstract":"<div><p>To ensure the safety of supply in the power grid, it is necessary to establish a power generation system with flexible regulation. This study proposes an innovative system coupling coal-fired units with a S-CO<sub>2</sub> energy storage cycle to improve the overall load regulation capability. First, a dynamic mathematical model of the coupled coal-fired power units and S-CO<sub>2</sub> energy storage cycle is established. The relative error associated with the model is found to be less than 5%. Then, the two operating conditions of the load up process and the load down process are combined, and the dynamic characteristics of the S-CO<sub>2</sub> energy storage cycle are studied and reported. The results highlighted that heating the boiler and supplying air can reduce the coal consumption rate by 2.29 g/(kW·h). Finally, a new coordinated control strategy based on mode switching and dual control is designed and implemented. The experiment conducted showed that the coordinated control strategy based on the dual control yielded the best performance, with the fastest response speed to the load command. Additionally, this control approach has the smallest integration value of the absolute error index and time squared error. Overall, the findings of this study provide useful information and serve as a reference for improving the flexibility of coal-fired power generation units.</p></div>","PeriodicalId":246,"journal":{"name":"Applied Energy","volume":null,"pages":null},"PeriodicalIF":10.1000,"publicationDate":"2024-07-05","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/S0306261924011954","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

To ensure the safety of supply in the power grid, it is necessary to establish a power generation system with flexible regulation. This study proposes an innovative system coupling coal-fired units with a S-CO2 energy storage cycle to improve the overall load regulation capability. First, a dynamic mathematical model of the coupled coal-fired power units and S-CO2 energy storage cycle is established. The relative error associated with the model is found to be less than 5%. Then, the two operating conditions of the load up process and the load down process are combined, and the dynamic characteristics of the S-CO2 energy storage cycle are studied and reported. The results highlighted that heating the boiler and supplying air can reduce the coal consumption rate by 2.29 g/(kW·h). Finally, a new coordinated control strategy based on mode switching and dual control is designed and implemented. The experiment conducted showed that the coordinated control strategy based on the dual control yielded the best performance, with the fastest response speed to the load command. Additionally, this control approach has the smallest integration value of the absolute error index and time squared error. Overall, the findings of this study provide useful information and serve as a reference for improving the flexibility of coal-fired power generation units.

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
与 S-CO2 储能循环耦合的燃煤机组协调控制策略和动态特性
为确保电网供电安全,有必要建立一个具有灵活调节能力的发电系统。本研究提出了一种燃煤机组与 S-CO 储能循环耦合的创新系统,以提高整体负荷调节能力。首先,建立了燃煤机组与 S-CO 储能循环耦合的动态数学模型。模型的相对误差小于 5%。然后,结合负荷上升过程和负荷下降过程两种运行条件,研究并报告了 S-CO 储能循环的动态特性。结果表明,加热锅炉和送风可使煤耗率降低 2.29 g/(kW-h)。最后,设计并实施了一种基于模式切换和双重控制的新型协调控制策略。实验结果表明,基于双重控制的协调控制策略性能最佳,对负载指令的响应速度最快。此外,这种控制方法的绝对误差指数和时间平方误差的积分值最小。总之,本研究的结果为提高燃煤发电机组的灵活性提供了有用的信息和参考。
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
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
Comprehensive framework on wind energy: A sustainable site selection under uncertainty and reliability, layout optimization and 7E analysis Physically rational data augmentation for energy consumption estimation of electric vehicles Multi-objective optimization with Q-learning for cruise and power allocation control parameters of connected fuel cell hybrid vehicles Robust decomposition and tracking strategy for demand response enhanced virtual power plants Research on optimization strategy of futures hedging dependent on market state
×
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