{"title":"A Data-driven Method for Estimating Parameter Uncertainty in PMU-based Power Plant Model Validation","authors":"Jacob Eisenbarth, J. Wold","doi":"10.1109/KPEC47870.2020.9167601","DOIUrl":null,"url":null,"abstract":"Event-based, online power plant model validation is an important component in economical maintenance of power grid reliability. It is well-known that any given event will not excite all portions of a power plant model, so those portions cannot be considered validated. This paper introduces a method to provide quantitative information about the uncertainty of model parameters for a given event. This information can be used to identify the portions of a model that should be considered validated and those that will require additional events to validate.","PeriodicalId":308212,"journal":{"name":"2020 IEEE Kansas Power and Energy Conference (KPEC)","volume":"53 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE Kansas Power and Energy Conference (KPEC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/KPEC47870.2020.9167601","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
Event-based, online power plant model validation is an important component in economical maintenance of power grid reliability. It is well-known that any given event will not excite all portions of a power plant model, so those portions cannot be considered validated. This paper introduces a method to provide quantitative information about the uncertainty of model parameters for a given event. This information can be used to identify the portions of a model that should be considered validated and those that will require additional events to validate.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
