• DocumentCode
    3134412
  • Title

    A wide area synchrophasor based ANN transient stability predictor for the Egyptian Power System

  • Author

    Hashiesh, Fahd ; Mostafa, Hossam E. ; Helal, Ibrahim ; Mansour, Mohamed M.

  • Author_Institution
    ABB Ltd., Stone, UK
  • fYear
    2010
  • fDate
    11-13 Oct. 2010
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    This paper proposes an Artificial Neural Networks (ANN) based technique for transient stability prediction. The ANN makes use of the advent of Phasor Measurements Units (PMU) for real-time prediction. Rate of change of bus voltages and angles is used to train a two layers ANN. Potential of the proposed approach is tested using the Egyptian Power System (EPS) as a study system.
  • Keywords
    neural nets; phase measurement; power system transient stability; ANN; Egyptian power system; artificial neural networks; phaser measurements units; transient stability; wide area synchrophasor; Artificial neural networks; Generators; Phasor measurement units; Power system dynamics; Power system stability; Transient analysis; Artificial Neural Networks; Egyptian Power System; Phasor Measurements Units; Synchrophasor; Transient Stability Prediction; Wide Area Applications;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Innovative Smart Grid Technologies Conference Europe (ISGT Europe), 2010 IEEE PES
  • Conference_Location
    Gothenburg
  • Print_ISBN
    978-1-4244-8508-6
  • Electronic_ISBN
    978-1-4244-8509-3
  • Type

    conf

  • DOI
    10.1109/ISGTEUROPE.2010.5638923
  • Filename
    5638923
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3134412