{"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.