Demand Response of Integrated Zero-Carbon Power Plant: Model and Method

Energies Pub Date : 2024-07-12 DOI:10.3390/en17143431
Rong Xia, Jun Dai, Xiangjie Cheng, Jiaqing Fan, Jing Ye, Qiangang Jia, Sijie Chen, Qiang Zhang
{"title":"Demand Response of Integrated Zero-Carbon Power Plant: Model and Method","authors":"Rong Xia, Jun Dai, Xiangjie Cheng, Jiaqing Fan, Jing Ye, Qiangang Jia, Sijie Chen, Qiang Zhang","doi":"10.3390/en17143431","DOIUrl":null,"url":null,"abstract":"An integrated zero-carbon power plant aggregates uncontrollable green energy, adjustable load, and storage energy resources into an entity in a grid-friendly manner. Integrated zero-carbon power plants have a strong demand response potential that needs further study. However, existing studies ignore the green value of renewable energy in power plants when participating in demand response programs. This paper proposed a mathematical model to optimize the operation of an integrated zero-carbon power plant considering the green value. A demand response mechanism is proposed for the independent system operator and the integrated zero-carbon power plants. The Stackelberg gaming process among these entities and an algorithm based on dichotomy are studied to find the demand response equilibrium. Case studies verify that the mechanism activates the potential of the integrated zero-carbon power plant to realize the load reduction target.","PeriodicalId":504870,"journal":{"name":"Energies","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2024-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Energies","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3390/en17143431","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

An integrated zero-carbon power plant aggregates uncontrollable green energy, adjustable load, and storage energy resources into an entity in a grid-friendly manner. Integrated zero-carbon power plants have a strong demand response potential that needs further study. However, existing studies ignore the green value of renewable energy in power plants when participating in demand response programs. This paper proposed a mathematical model to optimize the operation of an integrated zero-carbon power plant considering the green value. A demand response mechanism is proposed for the independent system operator and the integrated zero-carbon power plants. The Stackelberg gaming process among these entities and an algorithm based on dichotomy are studied to find the demand response equilibrium. Case studies verify that the mechanism activates the potential of the integrated zero-carbon power plant to realize the load reduction target.
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
综合零碳发电厂的需求响应:模型与方法
一体化零碳电厂以电网友好的方式将不可控的绿色能源、可调负荷和储能资源整合为一个实体。一体化零碳电厂具有强大的需求响应潜力,需要进一步研究。然而,现有研究在参与需求响应计划时忽略了电厂中可再生能源的绿色价值。本文提出了一个数学模型,以优化考虑绿色价值的一体化零碳电厂的运行。针对独立系统运营商和一体化零碳电厂提出了需求响应机制。研究了这些实体之间的 Stackelberg 博弈过程和基于二分法的算法,以找到需求响应平衡。案例研究验证了该机制能激活综合零碳发电厂的潜力,从而实现负荷削减目标。
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
自引率
0.00%
发文量
0
期刊最新文献
The Impact of Wide Discharge C-Rates on the Voltage Plateau Performance of Cylindrical Ternary Lithium-Ion Batteries Renewable Energy Source Utilization Progress in South Africa: A Review Density-Driven CO2 Dissolution in Depleted Gas Reservoirs with Bottom Aquifers Investigation of Arc Dynamic Behavior Change Induced by Various Parameter Configurations for C4F7N/CO2 Gas Mixture Fault Detection Methods for Electric Power Steering System Using Hardware in the Loop Simulation
×
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