Yuan Yan, Yi Ding, Chuangxin Guo, R. Wang, Lin Cheng, Yuanzhan Sun
{"title":"Operating Reliability Analysis of Peaking Generating Units Considering Start-Up Failures and Degradation","authors":"Yuan Yan, Yi Ding, Chuangxin Guo, R. Wang, Lin Cheng, Yuanzhan Sun","doi":"10.1109/SMRLO.2016.37","DOIUrl":null,"url":null,"abstract":"The peaking generating units such as gas and hydro turbines have been widely for providing operating reserve during real time operation of power systems. These generating units usually require a short lead time to start, synchronize and carry load. If the unit starts up successfully, it will transit to the in-service state for generation. However, if the unit fails to start-up or meets a random failure during operation, it goes into the failure state, which may have serious impact on system reliability. In this paper, a multi-state model has been developed for peaking generating units considering their start-up failures and degradation. The conceptual modeling and corresponding reliability solutions for peaking generating units have been comprehensively analyzed.","PeriodicalId":254910,"journal":{"name":"2016 Second International Symposium on Stochastic Models in Reliability Engineering, Life Science and Operations Management (SMRLO)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 Second International Symposium on Stochastic Models in Reliability Engineering, Life Science and Operations Management (SMRLO)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SMRLO.2016.37","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
The peaking generating units such as gas and hydro turbines have been widely for providing operating reserve during real time operation of power systems. These generating units usually require a short lead time to start, synchronize and carry load. If the unit starts up successfully, it will transit to the in-service state for generation. However, if the unit fails to start-up or meets a random failure during operation, it goes into the failure state, which may have serious impact on system reliability. In this paper, a multi-state model has been developed for peaking generating units considering their start-up failures and degradation. The conceptual modeling and corresponding reliability solutions for peaking generating units have been comprehensively analyzed.