• DocumentCode
    539745
  • Title

    Instantaneous Value Sampling AC-DC Converter and its Application in Power Quantity Detection

  • Author

    Shengyuan, Li ; Zhirong, Wu ; Keliang, Zhou ; Hong, Liu

  • Author_Institution
    Jiangxi Univ. of Sci. & Technol., Ganzhou, China
  • Volume
    2
  • fYear
    2011
  • fDate
    6-7 Jan. 2011
  • Firstpage
    429
  • Lastpage
    432
  • Abstract
    In order to speed up the response of the power quantity detection, to adopt instantaneous value sampling method make up the AC-DC converter that use in power quantity detection system is researched. There, the DC voltage is obtained by fixed-point sampling each cycle of the power quantity. The feasibility is proved by the simulation analysis. Composing the power quantity transducer with it, the response time may reduce a number magnitude compared to the traditional power quantity transducer, composing the power data acquisition system with it, the software architecture can be simplified effectively. The power quantity transducer and the power data acquisition system composed in this way are promising to be used in the power system control and protection where demanding the response is rapid.
  • Keywords
    AC-DC power convertors; data acquisition; power system control; power system protection; transducers; DC voltage; fixed-point sampling; instantaneous value sampling AC-DC converter; power data acquisition system; power quantity detection system; power quantity transducer; power system control; power system protection; simulation analysis; software architecture; AC-DC power converters; Band pass filters; Data acquisition; Time factors; Transducers; Transmitters; AC-DC converter; instantaneous value sampling; power data acquisition system; power quantity detection; power quantity transducer; response speed;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Measuring Technology and Mechatronics Automation (ICMTMA), 2011 Third International Conference on
  • Conference_Location
    Shangshai
  • Print_ISBN
    978-1-4244-9010-3
  • Type

    conf

  • DOI
    10.1109/ICMTMA.2011.394
  • Filename
    5721212