• DocumentCode
    2219670
  • Title

    ANN-based AVC relay for voltage control of distribution network with and without embedded generation

  • Author

    Salman, S.K. ; Rida, I.M.

  • Author_Institution
    Sch. of Electron. & Electr. Eng., Robert Gordon Univ., Aberdeen, UK
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    263
  • Lastpage
    267
  • Abstract
    Voltage magnitude of distribution networks is usually maintained within statutory limits by using on load tap changer transformers that are controlled by automatic voltage control (AVC) relays. Traditional AVC relay is usually equipped with compounding whose settings are chosen in such away to compensate for the voltage drop along the feeder(s) emanating from source substation. This paper presents an attempt to design an AVC relay based on the application of artificial neural networks (ANNs). The input data file used for the training of the proposed AVC relay is prepared using a power system load flow program, which is written in FORTRAN. In this paper the structure of the proposed ANN-based AVC relay is presented and the test results that show its performance are also presented and discussed
  • Keywords
    control system analysis computing; control system synthesis; neurocontrollers; power distribution control; power system analysis computing; relay control; voltage control; ANN-based AVC relay; FORTRAN; artificial neural networks; automatic voltage control relays; control simulation; distribution network voltage control; embedded generation; input data file; on load tap changer transformers; power system load flow program; training; Artificial neural networks; Automatic voltage control; Load flow; On load tap changers; Power system relaying; Relays; Substations; Testing; Transformers; Voltage control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electric Utility Deregulation and Restructuring and Power Technologies, 2000. Proceedings. DRPT 2000. International Conference on
  • Conference_Location
    London
  • Print_ISBN
    0-7803-5902-X
  • Type

    conf

  • DOI
    10.1109/DRPT.2000.855674
  • Filename
    855674