• DocumentCode
    1148093
  • Title

    Implementing transformer nodal admittance matrices into backward/forward sweep-based power flow analysis for unbalanced radial distribution systems

  • Author

    Wang, Zhuding ; Chen, Fen ; Li, Jingui

  • Author_Institution
    Chongqing Univ., China
  • Volume
    19
  • Issue
    4
  • fYear
    2004
  • Firstpage
    1831
  • Lastpage
    1836
  • Abstract
    This paper proposes a new method to handle distribution transformers of various winding connections in the backward/forward sweep-based power flow analysis for unbalanced radial distribution systems. The method takes advantage of available nodal admittance matrices of distribution transformers, and can automatically solve the problem of conductively isolated subnetworks to obtain their equivalent phase-to-reference voltages. In addition, this paper presents a limitation of backward/forward sweeps, and an extension of the power summation method for distribution power flow analysis from single-phase to unbalanced three-phase. The validity and effectiveness of the proposed method can be demonstrated by numerous examples and real systems.
  • Keywords
    distribution networks; load flow; power transformers; transformer windings; backward sweep; distribution power flow analysis; distribution transformers; equivalent phase-to-reference voltage; equivalent power flow; forward sweep; isolated subnetworks; nodal admittance matrices; power summation method; sweep-based power flow analysis; unbalanced radial distribution systems; winding connections; Admittance; Calculus; Convergence; Equivalent circuits; Linear circuits; Load flow; Load flow analysis; Power generation; Power system modeling; Robustness; 65; Backward/forward sweep; distribution transformer model; nodal admittance matrix; radial distribution system; unbalanced power flow;
  • fLanguage
    English
  • Journal_Title
    Power Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8950
  • Type

    jour

  • DOI
    10.1109/TPWRS.2004.835659
  • Filename
    1350820