• DocumentCode
    2356564
  • Title

    An intelligent voltage control system — Training, learning and controlling

  • Author

    Ma, Haomin ; Lin, Dan ; Tao, Mei

  • Author_Institution
    Shenzhen Polytech., Shenzhen, China
  • fYear
    2011
  • fDate
    25-28 Sept. 2011
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    An intelligent voltage control (IVC) system is proposed in this paper. Accompanied with training and learning capabilities, this system can realized a fast and efficient voltage control after an emergency happens in a power system. Firstly, the system knowledge is acquired from off-line studies and then further accumulated from on-line experiences by learning. With this saved control knowledge, the searching solution space is then significantly reduced in focusing into a specified area. Within this solution area, the on-line control can quickly achieve a good system performance. With both of the training and learning scheme, controls for any emergency can be realized in a rapid and qualified response. A simulation in the New England 39-bus power system shows that this intelligent strategy is very efficient for real time applications.
  • Keywords
    learning systems; power system control; predictive control; training; voltage control; New England 39-bus power system; intelligent voltage control system; learning; model predictive control; online control; power system control; searching solution space; training; Aerospace electronics; Databases; Genetic algorithms; Optimization; Power system stability; Voltage control; Coordinated voltage control; intelligent system; model predictive control; multi-objective optimization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent System Application to Power Systems (ISAP), 2011 16th International Conference on
  • Conference_Location
    Hersonissos
  • Print_ISBN
    978-1-4577-0807-7
  • Electronic_ISBN
    978-1-4577-0808-4
  • Type

    conf

  • DOI
    10.1109/ISAP.2011.6082256
  • Filename
    6082256