Maximal Renewable Power Penetration Computation with Augmented Lagrangian Alternative Direction Inexact Newton Method

Yunkai Lei, Xiong Yang, Donglai Xiao, Jinchuan Han
{"title":"Maximal Renewable Power Penetration Computation with Augmented Lagrangian Alternative Direction Inexact Newton Method","authors":"Yunkai Lei, Xiong Yang, Donglai Xiao, Jinchuan Han","doi":"10.1109/ICPET55165.2022.9918223","DOIUrl":null,"url":null,"abstract":"Global warming and environmental pollution concerns have promoted dramatic penetration of renewable energy sources all over the world. The problem of estimating the maximal power penetration of renewable energy can be formulated as an optimal power flow problem. In this paper, we apply augmented Lagrangian alternating direction inexact Newton (ALADIN) method to solve this optimization problem. The ALADIN method uses inexact Hessians which can reduce the communication compared with alternating direction of multipliers method (ADMM). The numerical studies on 30 bus system indicating that the ALADIN method is much faster than the ADMM and can reduce the number of iterations by about one order of magnitude.","PeriodicalId":355634,"journal":{"name":"2022 4th International Conference on Power and Energy Technology (ICPET)","volume":"91 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 4th International Conference on Power and Energy Technology (ICPET)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICPET55165.2022.9918223","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

Global warming and environmental pollution concerns have promoted dramatic penetration of renewable energy sources all over the world. The problem of estimating the maximal power penetration of renewable energy can be formulated as an optimal power flow problem. In this paper, we apply augmented Lagrangian alternating direction inexact Newton (ALADIN) method to solve this optimization problem. The ALADIN method uses inexact Hessians which can reduce the communication compared with alternating direction of multipliers method (ADMM). The numerical studies on 30 bus system indicating that the ALADIN method is much faster than the ADMM and can reduce the number of iterations by about one order of magnitude.
增广拉格朗日替代方向非精确牛顿法的最大可再生电力渗透计算
全球变暖和对环境污染的担忧促使可再生能源在世界各地急剧渗透。估计可再生能源的最大功率渗透问题可表述为最优潮流问题。本文采用增广拉格朗日交替方向不精确牛顿(ALADIN)方法求解这一优化问题。ALADIN方法使用了不精确的Hessians,与交替方向乘法相比较,减少了通信。在30总线系统上的数值研究表明,ALADIN方法比ADMM方法速度快得多,迭代次数减少约一个数量级。
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 求助全文
来源期刊
自引率
0.00%
发文量
0
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信