DocumentCode
2017248
Title
The Operation Optimization based on Correlation Analysis of Operation Parameters in Power Plant
Author
Li, Jian-qiang ; Gu, Jun-jie ; Niu, Cheng-Lin
Author_Institution
North China Electr. Power Univ., Baoding
Volume
2
fYear
2008
fDate
17-18 Oct. 2008
Firstpage
138
Lastpage
141
Abstract
Accurate operation data is the foundation of system identification and system analysis. Based on the characteristic of operation parameters in power plant, the method of data selection and data processing was discussed and the correlation analysis of operation parameters was introduced to operation optimization. The correlation coefficients were proposed to measure the related degree between operation parameters. The operation optimization values were determined by the results of correlation analysis and data mining, which is the foundation of economical analysis and operation optimization. The optimal values of the excess air coefficient were obtained and provided to the operators online to guide the operation based on the results of the data analysis. The experiment results show that the boiler efficiency is improved greatly. The determination of the optimization value based on operation data by correlation analysis and data mining provides a novel and efficient method for operation optimization in power plant.
Keywords
correlation methods; data mining; power engineering computing; power plants; correlation analysis; data mining; data processing; data selection; operation optimization; power plant; system analysis; system identification; Boilers; Computational intelligence; Data analysis; Data mining; Data processing; Design optimization; Optimization methods; Power generation; Power generation economics; System identification; Correlation Analysis; Operation Optimization; Power Plant; Quantitative Association Rule Mining;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence and Design, 2008. ISCID '08. International Symposium on
Conference_Location
Wuhan
Print_ISBN
978-0-7695-3311-7
Type
conf
DOI
10.1109/ISCID.2008.182
Filename
4725476
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