{"title":"Probabilistic impact of transmission line switching on power system operating states","authors":"P. Dehghanian, M. Kezunovic","doi":"10.1109/TDC.2016.7519884","DOIUrl":null,"url":null,"abstract":"Power system topology control as a planned corrective action in face of contingencies and also as a measure for achieving economic gains in real time market operation has been recently studied as an enhancement in hour- and day-ahead operations. Although attractive from the reliability and economic standpoint, the attention must be paid to the impact on the power system operating states following the switching implementation to make sure the system security performance in the new migrated operating state is not jeopardized. This paper suggests a probabilistic measure to foresee the likelihood of experiencing undesirable operating state following execution of an optimal hour-ahead switching plan. The presented approach can also be helpful in selecting the most practical switching action when the optimization engine can provide multiple optimal switching scenarios. The proposed tool is tested on a modified IEEE 118-Bus Test System to demonstrate its applicability and effectiveness.","PeriodicalId":6497,"journal":{"name":"2016 IEEE/PES Transmission and Distribution Conference and Exposition (T&D)","volume":"1 1","pages":"1-5"},"PeriodicalIF":0.0000,"publicationDate":"2016-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"18","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE/PES Transmission and Distribution Conference and Exposition (T&D)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/TDC.2016.7519884","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 18
Abstract
Power system topology control as a planned corrective action in face of contingencies and also as a measure for achieving economic gains in real time market operation has been recently studied as an enhancement in hour- and day-ahead operations. Although attractive from the reliability and economic standpoint, the attention must be paid to the impact on the power system operating states following the switching implementation to make sure the system security performance in the new migrated operating state is not jeopardized. This paper suggests a probabilistic measure to foresee the likelihood of experiencing undesirable operating state following execution of an optimal hour-ahead switching plan. The presented approach can also be helpful in selecting the most practical switching action when the optimization engine can provide multiple optimal switching scenarios. The proposed tool is tested on a modified IEEE 118-Bus Test System to demonstrate its applicability and effectiveness.