Trusted operation framework for virtual power plants

iEnergy Pub Date : 2023-06-01 DOI:10.23919/IEN.2023.0018
Hongyi Li;Hongxun Hui;Hongcai Zhang
{"title":"Trusted operation framework for virtual power plants","authors":"Hongyi Li;Hongxun Hui;Hongcai Zhang","doi":"10.23919/IEN.2023.0018","DOIUrl":null,"url":null,"abstract":"The prevalence of intermittent renewable energy sources further stimulates the need for operating reserve to maintain the supply-demand balance of the power system. DERs can form a VPP to provide both upward and downward operating reserve to the power system. The process of providing operating reserve as a VPP includes evaluating of reserve capacity of DERs, bidding in the operating reserve market, responding to the regulation signal, assessing the response performance of DERs and allocating the profit (see the Figure, which is reprinted with permission from iEnergy, 2(2): 133-142, 2023 © 2023 The Author(s)). The operation characteristics of various DERs are modeled for the evaluation of their available operating reserve capacity. However, due to the uncertainty of the DER status, there might exist a mismatch between the estimated capacity at the bidding stage and the available capacity at the response stage, which could results in an inaccurate tracking of the regulation signal. Thus, a timely update of the operating reserve capacity evaluation result is introduced to the operation of VPP, which enables the proactive compensation for capacity mismatch during the stage of assigning of regulating power.","PeriodicalId":100648,"journal":{"name":"iEnergy","volume":"2 2","pages":"92-92"},"PeriodicalIF":0.0000,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/iel7/9732629/10185633/10185662.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"iEnergy","FirstCategoryId":"1085","ListUrlMain":"https://ieeexplore.ieee.org/document/10185662/","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

The prevalence of intermittent renewable energy sources further stimulates the need for operating reserve to maintain the supply-demand balance of the power system. DERs can form a VPP to provide both upward and downward operating reserve to the power system. The process of providing operating reserve as a VPP includes evaluating of reserve capacity of DERs, bidding in the operating reserve market, responding to the regulation signal, assessing the response performance of DERs and allocating the profit (see the Figure, which is reprinted with permission from iEnergy, 2(2): 133-142, 2023 © 2023 The Author(s)). The operation characteristics of various DERs are modeled for the evaluation of their available operating reserve capacity. However, due to the uncertainty of the DER status, there might exist a mismatch between the estimated capacity at the bidding stage and the available capacity at the response stage, which could results in an inaccurate tracking of the regulation signal. Thus, a timely update of the operating reserve capacity evaluation result is introduced to the operation of VPP, which enables the proactive compensation for capacity mismatch during the stage of assigning of regulating power.
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
虚拟电厂的可信运行框架
间歇性可再生能源的普及进一步刺激了运营储备的需求,以维持电力系统的供需平衡。DER可以形成VPP以向电力系统提供向上和向下的操作储备。作为VPP提供运营储备的过程包括评估DER的储备能力、在运营储备市场上投标、响应监管信号、评估DER的响应性能和分配利润(见图,经iEnergy许可转载,2(2):133-142023©2023作者)。对各种DER的运行特性进行建模,以评估其可用的运行储备容量。然而,由于DER状态的不确定性,投标阶段的估计容量与响应阶段的可用容量之间可能存在不匹配,这可能导致对调节信号的跟踪不准确。因此,将运行备用容量评估结果的及时更新引入VPP的运行,这使得能够在分配调节功率的阶段对容量失配进行主动补偿。
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
Contents Front Cover Methods of Suppressing Ion Migration in n-i-p Perovskite Solar Cells Artificial Intelligence Techniques for Stability Analysis in Modern Power Systems Intelligent Adjustment for Power System Operation Mode Based on Deep Reinforcement Learning
×
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