Risk-based constraint relaxation with high penetration of wind resources

Xian-Chang Guo, J. McCalley
{"title":"Risk-based constraint relaxation with high penetration of wind resources","authors":"Xian-Chang Guo, J. McCalley","doi":"10.1109/ISAP.2017.8071370","DOIUrl":null,"url":null,"abstract":"This paper is motivated by infeasibilities in look-ahead economic dispatch with significant wind integration; such infeasibilities result from transmission line constraints that cannot be satisfied within a security constrained economic dispatch. Thus, constraint relaxation is necessary to achieve the dispatch decisions and market solution. The acceptable relaxation margin is determined by assessing the time duration of the thermal overloads in terms of an adaptive transmission rate (ATR). ATR is calculated using the dynamic heat balance equation associated with thermal overloading probability. Furthermore, high wind energy penetration increases variability in circuit flows. We utilize conditional value at risk to evaluate the effects of overloads on system security. We propose a systematic methodology of riskbased constraint relaxation (RBCR) to eliminate the infeasibilities of thermal limits in the stochastic look-ahead SCED problem. Finally, the methodology of RBCR has been verified using an IEEE 6 bus testing system.","PeriodicalId":257100,"journal":{"name":"2017 19th International Conference on Intelligent System Application to Power Systems (ISAP)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 19th International Conference on Intelligent System Application to Power Systems (ISAP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISAP.2017.8071370","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

Abstract

This paper is motivated by infeasibilities in look-ahead economic dispatch with significant wind integration; such infeasibilities result from transmission line constraints that cannot be satisfied within a security constrained economic dispatch. Thus, constraint relaxation is necessary to achieve the dispatch decisions and market solution. The acceptable relaxation margin is determined by assessing the time duration of the thermal overloads in terms of an adaptive transmission rate (ATR). ATR is calculated using the dynamic heat balance equation associated with thermal overloading probability. Furthermore, high wind energy penetration increases variability in circuit flows. We utilize conditional value at risk to evaluate the effects of overloads on system security. We propose a systematic methodology of riskbased constraint relaxation (RBCR) to eliminate the infeasibilities of thermal limits in the stochastic look-ahead SCED problem. Finally, the methodology of RBCR has been verified using an IEEE 6 bus testing system.
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
风电资源高渗透下基于风险的约束松弛
本文的研究动机是考虑到具有显著风电并网的前瞻性经济调度的不可行性;这种不可行性是由于输电线路的约束不能在安全约束的经济调度中得到满足。因此,约束放宽是实现调度决策和市场解决的必要条件。可接受的松弛裕度是根据自适应传输速率(ATR)评估热过载的持续时间来确定的。采用与热过载概率相关的动态热平衡方程计算ATR。此外,高风能渗透增加了电路流动的可变性。我们利用风险条件值来评估过载对系统安全性的影响。我们提出了一种系统的基于风险的约束松弛(RBCR)方法来消除随机前瞻性SCED问题中热极限的不可行性。最后,利用ieee6总线测试系统对RBCR方法进行了验证。
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
Design of a multi-agent system for distributed voltage regulation Machine learning versus ray-tracing to forecast irradiance for an edge-computing SkyImager Modified teaching-learning based optimization algorithm and damping of inter-area oscillations through VSC-HVDC Intelligent system for automatic performance evaluation of distribution system operators Methodology for islanding operation of distributed synchronous generators
×
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