• DocumentCode
    76675
  • Title

    Voltage stability analysis of unbalanced distribution systems using backward/forward sweep load-flow analysis method with secant predictor

  • Author

    Abdel-Akher, M.

  • Author_Institution
    Dept. of Electr. Eng., Aswan Univ., Aswan, Egypt
  • Volume
    7
  • Issue
    3
  • fYear
    2013
  • fDate
    Mar-13
  • Firstpage
    309
  • Lastpage
    317
  • Abstract
    This study presents a new method for tracing voltage power curves in unbalanced radial distribution power systems. The proposed method starts with the base case loading conditions and leading to the maximum loading point (MLP) whereas no ill-conditioning problems were detected. The calculation is performed by first-order polynomial secant predictor and the solution is corrected using the backward/forward radial power-flow method. Adaptive stepwise control is implemented to improve the overall solution process and reduce the number of the calculated points along the traced curve. The results calculated using the developed method are for both a 33-bus radial feeder and the unbalanced IEEE 13-node and IEEE123-node feeders. The results show that the developed method accurately traces the voltage power curves up to MLP. Comprehensive analysis on unbalanced scenarios shows that load unbalance greatly affects the stability limit of the study system.
  • Keywords
    IEEE standards; adaptive control; distribution networks; polynomials; power system stability; IEEE 13-node; IEEE123-node feeders; MLP; adaptive stepwise control; backward-forward sweep load-flow analysis method; base case loading conditions; first-order polynomial secant predictor; ill-conditioning problems; maximum loading point; secant predictor; stability limit; unbalanced radial distribution power systems; unbalanced scenarios; voltage power curves tracing; voltage stability analysis;
  • fLanguage
    English
  • Journal_Title
    Generation, Transmission & Distribution, IET
  • Publisher
    iet
  • ISSN
    1751-8687
  • Type

    jour

  • DOI
    10.1049/iet-gtd.2012.0360
  • Filename
    6519644