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
Link To Document :
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