• 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