Stochastic quantum models for the dynamics of power grids

Pierrick Guichard, Nicolas Retière, Didier Mayou
{"title":"Stochastic quantum models for the dynamics of power grids","authors":"Pierrick Guichard, Nicolas Retière, Didier Mayou","doi":"arxiv-2408.14921","DOIUrl":null,"url":null,"abstract":"While electric power grids play a key role in the decarbonization of society,\nit remains unclear how recent trends, such as the strong integration of\nrenewable energies, can affect their stability. Power oscillation modes, which\nare key to the stability of the grid, are traditionally studied numerically\nwith the conventional view-point of two regimes of extended (inter-area) or\nlocalized (intra-area) modes. In this article we introduce an analogy based on\nstochastic quantum models and demonstrate its applicability to power systems.\nWe show from simple models that at low frequency the mean free path induced by\ndisorder is inversely cubic in the frequency. This stems from the\nCourant-Fisher-Weyl theorem, which predicts a strong protection of the lowest\nfrequency modes from disorder. As a consequence a power oscillation, induced by\nsome local disruption of the grid, can propagate in a ballistic, diffusive or\nlocalised regime. In contrast with the conventional view-point, the existence\nof these three regimes is confirmed in a realistic model of the European power\ngrid.","PeriodicalId":501066,"journal":{"name":"arXiv - PHYS - Disordered Systems and Neural Networks","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2024-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - PHYS - Disordered Systems and Neural Networks","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2408.14921","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

While electric power grids play a key role in the decarbonization of society, it remains unclear how recent trends, such as the strong integration of renewable energies, can affect their stability. Power oscillation modes, which are key to the stability of the grid, are traditionally studied numerically with the conventional view-point of two regimes of extended (inter-area) or localized (intra-area) modes. In this article we introduce an analogy based on stochastic quantum models and demonstrate its applicability to power systems. We show from simple models that at low frequency the mean free path induced by disorder is inversely cubic in the frequency. This stems from the Courant-Fisher-Weyl theorem, which predicts a strong protection of the lowest frequency modes from disorder. As a consequence a power oscillation, induced by some local disruption of the grid, can propagate in a ballistic, diffusive or localised regime. In contrast with the conventional view-point, the existence of these three regimes is confirmed in a realistic model of the European power grid.
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
电网动态的随机量子模型
尽管电网在社会去碳化过程中发挥着关键作用,但目前仍不清楚可再生能源的大力整合等最新趋势会如何影响电网的稳定性。电力振荡模式是电网稳定性的关键所在,传统的数值研究通常从扩展模式(区域间)或局部模式(区域内)两种状态的传统视角出发。在本文中,我们介绍了一种基于随机量子模型的类比方法,并展示了其在电力系统中的适用性。我们通过简单的模型证明,在低频情况下,由无序引起的平均自由路径与频率成反立方关系。这源于库朗-费舍尔-韦尔定理(Courant-Fisher-Weyl theorem),该定理预言最低频率的模式会受到无序的强烈保护。因此,由网格局部破坏引起的功率振荡可以在弹道、扩散或局部机制中传播。与传统观点不同的是,欧洲电网的现实模型证实了这三种机制的存在。
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
Fast Analysis of the OpenAI O1-Preview Model in Solving Random K-SAT Problem: Does the LLM Solve the Problem Itself or Call an External SAT Solver? Trade-off relations between quantum coherence and measure of many-body localization Soft modes in vector spin glass models on sparse random graphs Boolean mean field spin glass model: rigorous results Generalized hetero-associative neural networks
×
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