{"title":"Reliability and stability analysis of corrective topology control actions","authors":"Akshay S. Korad, K. Hedman","doi":"10.1109/PTC.2015.7232519","DOIUrl":null,"url":null,"abstract":"In recent years, the penetration of renewable resources in electrical power systems has increased. These renewable resources add more complexities to power system operations, due to their intermittent nature. As a result, operators must acquire additional reserves in order to maintain reliability. However, one persistent challenge is to determine the optimal location and quantity of reserves; this challenge is exacerbated by the inability to predict key transmission bottlenecks due to this added uncertainty. This paper presents robust corrective topology control, as a congestion management tool, to reduce violations caused by contingencies and renewable uncertainties. The day-ahead topology control formulation is based on the direct current optimal power flow; therefore, switching solutions obtained from these algorithms are tested for AC feasibility and system stability. All numerical results are based on the IEEE-118 bus test case.","PeriodicalId":193448,"journal":{"name":"2015 IEEE Eindhoven PowerTech","volume":"23 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 IEEE Eindhoven PowerTech","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PTC.2015.7232519","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5
Abstract
In recent years, the penetration of renewable resources in electrical power systems has increased. These renewable resources add more complexities to power system operations, due to their intermittent nature. As a result, operators must acquire additional reserves in order to maintain reliability. However, one persistent challenge is to determine the optimal location and quantity of reserves; this challenge is exacerbated by the inability to predict key transmission bottlenecks due to this added uncertainty. This paper presents robust corrective topology control, as a congestion management tool, to reduce violations caused by contingencies and renewable uncertainties. The day-ahead topology control formulation is based on the direct current optimal power flow; therefore, switching solutions obtained from these algorithms are tested for AC feasibility and system stability. All numerical results are based on the IEEE-118 bus test case.