• DocumentCode
    1499712
  • Title

    Artificial Neural Network Applied to The Problem of Secondary Voltage Control

  • Author

    Vaschetti, J. ; Sauchelli, V.

  • Author_Institution
    FRC, Univ. Tecnol. Nac., Cordoba, Argentina
  • Volume
    10
  • Issue
    2
  • fYear
    2012
  • fDate
    3/1/2012 12:00:00 AM
  • Firstpage
    1518
  • Lastpage
    1524
  • Abstract
    This paper presents the design of a controller based on an Artificial Neural Network (ANN) for the problem of the Secondary Voltage Control (SVC) in Electrical Power Systems (EPS). The design is based on the concept of Optimal Power Flow (OPF) and Pilots Nodes (PN), the obtained Controller is applied to a study case in order to validate the result. Finally the influence of various parameters that make the topology of a Neural Network are analyzed.
  • Keywords
    control system synthesis; neurocontrollers; power system control; voltage control; artificial neural network; controller design; electrical power system; optimal power flow; pilots node; secondary voltage control; topology; Artificial neural networks; Jacobian matrices; Regulators; Silicon; Static VAr compensators; Vectors; Voltage control; Artificial Neural Network; Optimal Power Flow; Power Systems; Secondary Voltage Control; Simulation;
  • fLanguage
    English
  • Journal_Title
    Latin America Transactions, IEEE (Revista IEEE America Latina)
  • Publisher
    ieee
  • ISSN
    1548-0992
  • Type

    jour

  • DOI
    10.1109/TLA.2012.6187595
  • Filename
    6187595