{"title":"Quantifying transient stability of generators by basin stability and Kuramoto-like models","authors":"Zhao Liu, Ziang Zhang","doi":"10.1109/NAPS.2017.8107260","DOIUrl":null,"url":null,"abstract":"Conventional approach of power system transient stability analysis use time-domain simulation and detailed system information. Recent efforts on non-uniform Kuramoto oscillators and basin stability have revealed new ways to address stability problems on power systems. In this paper, we introduce a method that can quantify how likely a generator remains synchronized after a disturbance. We show that by changing transmission line reactance, the basin stability of the system will change accordingly. Single-node basin stability can provide a relative node stability ranking for the system. This work helps bridge the gap between conventional transient stability analysis and non-linear oscillator analysis from the complex network perspective. Simulations on a two-area, four-machine system and a 16-machine, 68-bus system are provided.","PeriodicalId":296428,"journal":{"name":"2017 North American Power Symposium (NAPS)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"12","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 North American Power Symposium (NAPS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NAPS.2017.8107260","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 12
Abstract
Conventional approach of power system transient stability analysis use time-domain simulation and detailed system information. Recent efforts on non-uniform Kuramoto oscillators and basin stability have revealed new ways to address stability problems on power systems. In this paper, we introduce a method that can quantify how likely a generator remains synchronized after a disturbance. We show that by changing transmission line reactance, the basin stability of the system will change accordingly. Single-node basin stability can provide a relative node stability ranking for the system. This work helps bridge the gap between conventional transient stability analysis and non-linear oscillator analysis from the complex network perspective. Simulations on a two-area, four-machine system and a 16-machine, 68-bus system are provided.