Fang Yao, Jiawei Wang, F. Wen, Junhua Zhao, Xingyong Zhao, Weijia Liu
{"title":"Resilience Enhancement for a Power System with Electric Vehicles under Extreme Weather Conditions","authors":"Fang Yao, Jiawei Wang, F. Wen, Junhua Zhao, Xingyong Zhao, Weijia Liu","doi":"10.1109/ISGT-Asia.2019.8881313","DOIUrl":null,"url":null,"abstract":"In this paper, a resilience enhancement model is presented for a power system with plug-in electric vehicles (EVs) under extreme weather conditions. The proposed methodological framework is formulated as a two stage/tri-level robust mixed-integer optimization model. In order to solve this model, an algorithm based on nested column-and-constraint generation (NC&CG) is developed. Numerical simulations of a sample power system validate the effectiveness of the developed framework and the efficiency of the solving methodology.","PeriodicalId":257974,"journal":{"name":"2019 IEEE Innovative Smart Grid Technologies - Asia (ISGT Asia)","volume":"554 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE Innovative Smart Grid Technologies - Asia (ISGT Asia)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISGT-Asia.2019.8881313","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
In this paper, a resilience enhancement model is presented for a power system with plug-in electric vehicles (EVs) under extreme weather conditions. The proposed methodological framework is formulated as a two stage/tri-level robust mixed-integer optimization model. In order to solve this model, an algorithm based on nested column-and-constraint generation (NC&CG) is developed. Numerical simulations of a sample power system validate the effectiveness of the developed framework and the efficiency of the solving methodology.