Analysis of voltage sags propagation in distribution grids using a SI epidemic model

Miguel Romero-L, L. Gallego
{"title":"Analysis of voltage sags propagation in distribution grids using a SI epidemic model","authors":"Miguel Romero-L, L. Gallego","doi":"10.1109/PEPQA.2017.7981685","DOIUrl":null,"url":null,"abstract":"The occurrence of different types of faults and connection of heavy loads could cause voltage sags in several busbars in distribution grids. In this paper a Susceptible-Infected (SI) epidemic model is proposed to assess the propagation of voltage sags in distribution systems. In the SI model, the infectious nodes are the bus-bars where faults or connection of big loads could occur. On the other hand, susceptible nodes are the bus-bars in which voltage sags could occur. Parameters that affect the voltage sags propagation as system topology and detection threshold are modeled using the concept of infection rate (β). + A directed graph representing the voltage sags propagation is calculated based on the values of β between every pair of nodes. Finally, the propagation is characterized in terms of fault impedance and nodes are classified using graph theory indexes.","PeriodicalId":256426,"journal":{"name":"2017 IEEE Workshop on Power Electronics and Power Quality Applications (PEPQA)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 IEEE Workshop on Power Electronics and Power Quality Applications (PEPQA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PEPQA.2017.7981685","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6

Abstract

The occurrence of different types of faults and connection of heavy loads could cause voltage sags in several busbars in distribution grids. In this paper a Susceptible-Infected (SI) epidemic model is proposed to assess the propagation of voltage sags in distribution systems. In the SI model, the infectious nodes are the bus-bars where faults or connection of big loads could occur. On the other hand, susceptible nodes are the bus-bars in which voltage sags could occur. Parameters that affect the voltage sags propagation as system topology and detection threshold are modeled using the concept of infection rate (β). + A directed graph representing the voltage sags propagation is calculated based on the values of β between every pair of nodes. Finally, the propagation is characterized in terms of fault impedance and nodes are classified using graph theory indexes.
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
用SI流行模型分析配电网电压跌落传播
配电网中不同类型故障的发生和大负荷的连接会引起多个母线的电压跌落。本文提出了一个易感感染(SI)流行病模型来评估配电系统中电压跌落的传播。在SI模型中,传染节点是可能发生故障或大负载连接的母线。另一方面,易受影响的节点是可能发生电压跌落的母线。影响电压跌落传播的参数作为系统拓扑和检测阈值使用感染率(β)的概念进行建模。+根据每对节点之间的β值计算电压跌落传播的有向图。最后,利用故障阻抗对传播过程进行表征,并利用图论指标对节点进行分类。
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
Simulation interface to reproduce signals with harmonic distortion of distribution systems in real-time Adaptive model for a variable load in a distribution network using a neuro-fuzzy system A procedure for power electronic converters design with controllability verification based on the nonlinear dynamical model OpenDSS and OpenDSS-PM open source libraries for NI LabVIEW Implicit PV cell parameters estimation used in approximated closed-form model for inverter power control
×
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