Considering Integer Chance Constraints for Enforcing Flexible Line Flow Ratings

Kaitlyn Garifi, K. Baker
{"title":"Considering Integer Chance Constraints for Enforcing Flexible Line Flow Ratings","authors":"Kaitlyn Garifi, K. Baker","doi":"10.23919/ACC45564.2020.9147669","DOIUrl":null,"url":null,"abstract":"Transmission line capacity ratings are often treated as a fixed nominal value; however, these ratings can be temporarily increased to a higher rating that can be leveraged when accounting for uncertainty in the system. In this paper, we introduce a chance constrained optimal power flow model to account for fluctuations in wind power generation with respect to line flow ratings. We propose a two-stage stochastic program where the optimal traditional generator dispatch is determined across wind power fluctuation scenarios. Flexible line flow ratings are incorporated into our model using integer chance constraints which limit the probability of non-nominal line capacity rating violations across all wind scenarios. We present simulation results on the RTS-GMLC test system to demonstrate the effectiveness of considering infrequent line violations on network congestion to reduce the total average wind power curtailment by 15%.","PeriodicalId":288450,"journal":{"name":"2020 American Control Conference (ACC)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 American Control Conference (ACC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23919/ACC45564.2020.9147669","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

Abstract

Transmission line capacity ratings are often treated as a fixed nominal value; however, these ratings can be temporarily increased to a higher rating that can be leveraged when accounting for uncertainty in the system. In this paper, we introduce a chance constrained optimal power flow model to account for fluctuations in wind power generation with respect to line flow ratings. We propose a two-stage stochastic program where the optimal traditional generator dispatch is determined across wind power fluctuation scenarios. Flexible line flow ratings are incorporated into our model using integer chance constraints which limit the probability of non-nominal line capacity rating violations across all wind scenarios. We present simulation results on the RTS-GMLC test system to demonstrate the effectiveness of considering infrequent line violations on network congestion to reduce the total average wind power curtailment by 15%.
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
考虑整数机会约束的柔性线路流量额定值
传输线的额定容量通常被视为一个固定的标称值;然而,这些评级可以暂时提高到一个更高的评级,当考虑到系统中的不确定性时,可以利用这个评级。在本文中,我们引入了一个机会约束的最优潮流模型来考虑风力发电相对于线流额定值的波动。我们提出了一个两阶段的随机方案,在该方案中,传统发电机的最优调度是在风力发电波动情况下确定的。灵活的线路流量额定值被纳入到我们的模型中,使用整数机会约束,限制了所有风场景中非标称线路容量额定值违规的概率。在RTS-GMLC测试系统上进行了仿真实验,验证了在网络拥塞中考虑不频繁的线路违例对减少总平均弃风15%的有效性。
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
Metric Interval Temporal Logic based Reinforcement Learning with Runtime Monitoring and Self-Correction Boundary Control of Coupled Hyperbolic PDEs for Two-dimensional Vibration Suppression of a Deep-sea Construction Vessel Localizing Data Manipulators in Distributed Mode Shape Identification of Power Systems Boundary prescribed–time stabilization of a pair of coupled reaction–diffusion equations An Optimization-Based Iterative Learning Control Design Method for UAV’s Trajectory Tracking
×
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