• DocumentCode
    2023394
  • Title

    A network decoupling transform for phasor data based voltage stability analysis and monitoring

  • Author

    Xu, W. ; Pordanjani, I.R. ; Yunfei Wang ; Vaahedi, E.

  • fYear
    2012
  • fDate
    22-26 July 2012
  • Firstpage
    1
  • Lastpage
    1
  • Abstract
    Summary form only given. It is well known that a power network can be represented as a multinode, multibranch Thevenin circuit connecting loads to generators. This paper shows that eigen-decomposition can be performed on the Thevenin impedance matrix, creating a set of decoupled single-node, single-branch equivalent circuits. The decoupled circuits can reveal important characteristics of a power system. By applying the transform to calculated or measured voltage phasor data, a technique for tracking the modes of voltage collapse and for identifying areas vulnerable to voltage collapse has been developed. Case studies conducted on multiple power systems have confirmed the effectiveness of the proposed method. In addition to voltage stability applications, the proposed transform presents a new approach for processing and interpreting multilocation phasor data.
  • Keywords
    eigenvalues and eigenfunctions; impedance matrix; power system dynamic stability; power system measurement; Thevenin impedance matrix; calculated voltage phasor data; decoupled single-node single-branch equivalent circuits; eigendecomposition; measured voltage phasor data; multilocation phasor data; multinode multibranch Thevenin circuit; network decoupling transform; phasor data-based voltage stability analysis-monitoring; power network; power system; voltage collapse; Generators; Joining processes; Monitoring; Power system stability; Stability analysis; Transforms; Voltage measurement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power and Energy Society General Meeting, 2012 IEEE
  • Conference_Location
    San Diego, CA
  • ISSN
    1944-9925
  • Print_ISBN
    978-1-4673-2727-5
  • Electronic_ISBN
    1944-9925
  • Type

    conf

  • DOI
    10.1109/PESGM.2012.6343977
  • Filename
    6343977