• DocumentCode
    2317915
  • Title

    Online performance test software and its application for Large Capacity Combined-cycle Units

  • Author

    Gao, Jianqiang ; Fan, Xiaoying ; Zhao, Junyou

  • Author_Institution
    North China Electr. Power Univ., Baoding
  • fYear
    2008
  • fDate
    21-24 April 2008
  • Firstpage
    192
  • Lastpage
    195
  • Abstract
    The paper introduces an online performance test software for large capacity combined-cycle units. The software is composed of four parts, i.e. the integrated modular modeling software (IMMS), real time database software, client browser software and communication software. The results of the model are displayed in B/S mode on the userpsilas terminals. With IMMS, on-line performance calculating model is developed by means of modular modeling method, which follows the guidelines of ldquoPerformance Test Code on Overall Plant Performancerdquo (PTC46-1996). All the primary parameters used for model calculation are from DCS of the unit. The software has been successfully applied to a 395 MW combined-cycle power unit for a year. It runs stably and reliably. It can provide the economic indicator on line, such as gross equipment power output and gross equipment heat rate etc., so as to help operators monitoring and adjusting the operation of unit more efficiently.
  • Keywords
    combined cycle power stations; condition monitoring; power engineering computing; power generation reliability; power system stability; testing; client browser software; communication software; integrated modular modeling software; large capacity combined-cycle unit; online performance test software; real time database software; Application software; Cogeneration; Databases; Distributed control; Economic indicators; Guidelines; Monitoring; Performance evaluation; Software performance; Software testing; combined-cycle; condition monitoring; modeling; online; power generation testing; programming;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Condition Monitoring and Diagnosis, 2008. CMD 2008. International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-1621-9
  • Electronic_ISBN
    978-1-4244-1622-6
  • Type

    conf

  • DOI
    10.1109/CMD.2008.4580261
  • Filename
    4580261