• DocumentCode
    674293
  • Title

    Fuzzy-based control of on-load tap changers under high penetration of distributed generators

  • Author

    Azzouz, Maher Abdelkhalek ; Farag, Hany E. ; El-Saadany, Ehab F.

  • Author_Institution
    Electr. & Comput. Eng., Univ. of Waterloo, Waterloo, ON, Canada
  • fYear
    2013
  • fDate
    2-4 Oct. 2013
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Voltage regulation in the distribution networks becomes more challenging when the distribution generation (DG) units are introduced. The reasons behind that are: the reverse power flow which is introduced by the DG units, in addition to the probabilistic nature of the generated power due to renewable-based DG units. In this paper, a fuzzy algorithm is proposed to provide an adaptive reference of the OLTC controller, such that the OLTC, which feeds a multiple feeders, can mitigate the effect of the high penetration of the DG units. The motivations behind using the fuzzy logic are: 1) it can map nonlinear relations behind its inputs and output; and 2) it can provide a smooth transition, which lead to a more relaxed tap operation compared to the conventional logic control. The proposed fuzzy algorithm is tested using a radial structure distribution network which is modeled using SIMULINK/MATLAB.
  • Keywords
    distributed power generation; load flow; on load tap changers; power distribution control; power generation control; voltage control; OLTC controller; Simulink-Matlab; adaptive reference; distributed generator units; distribution networks; fuzzy algorithm; fuzzy logic; fuzzy-based control; nonlinear relations; on-load tap changers; penetration effect mitigation; radial structure distribution network; renewable-based DG units; reverse power flow; voltage regulation; Hysteresis; Software packages; Switches;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electric Power and Energy Conversion Systems (EPECS), 2013 3rd International Conference on
  • Conference_Location
    Istanbul
  • Print_ISBN
    978-1-4799-0687-1
  • Type

    conf

  • DOI
    10.1109/EPECS.2013.6713050
  • Filename
    6713050