{"title":"On the relative power contribution between process variables of SCR control systems for ST-GT combined cycle power plants","authors":"Mai Duc Thong, K. Nakano, Y. Toyoda","doi":"10.1109/ECTICON.2012.6254249","DOIUrl":null,"url":null,"abstract":"This paper is concerned with a method of computing the relative power contribution ratio (PCR) between process variables of a Selective Catalytic Reduction (SCR) system in a steam turbine (ST)-gas turbine (GT) combined cycle power plant. The PCR is used to select process variables in the statistical model of the system to be considered. Firstly, we show a method for computing the PCR using a RBF-ARX-based modeling of the SCR. Next, we demonstrate the effectiveness of the PCR in evaluating the identified system. Finally, we consider about a method for computing PCR for general stationary control systems based on Otomo-Nakagawa-Akaike's method, which is applicable to the above-mentioned SCR systems.","PeriodicalId":6319,"journal":{"name":"2012 9th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology","volume":"7 1","pages":"1-4"},"PeriodicalIF":0.0000,"publicationDate":"2012-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 9th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ECTICON.2012.6254249","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
This paper is concerned with a method of computing the relative power contribution ratio (PCR) between process variables of a Selective Catalytic Reduction (SCR) system in a steam turbine (ST)-gas turbine (GT) combined cycle power plant. The PCR is used to select process variables in the statistical model of the system to be considered. Firstly, we show a method for computing the PCR using a RBF-ARX-based modeling of the SCR. Next, we demonstrate the effectiveness of the PCR in evaluating the identified system. Finally, we consider about a method for computing PCR for general stationary control systems based on Otomo-Nakagawa-Akaike's method, which is applicable to the above-mentioned SCR systems.