• DocumentCode
    2230340
  • Title

    Methodology for Service Restoration Based Adaptive-Selective Tabu Search (ASTS)

  • Author

    de Matos Goncalves, A.M. ; Leite, L.C. ; Pinto, Joao O. P.

  • Author_Institution
    Fed. Univ. of Mato Grosso do Sul, Campo Grande
  • fYear
    2007
  • fDate
    20-24 Oct. 2007
  • Firstpage
    741
  • Lastpage
    746
  • Abstract
    The objective this paper is to present the development methodology, called Adaptive-Selective Tabu Search - ASTS, proposed to optimization of the transmission power systems restoration. The methodology is based on Tabu Search (TS) and Reactive Tabu Search (RTS) techniques with elements similar to those found in other Artificial Intelligent Methods, as elitism, aleatority and future analysis. These elements provide diversification and intensification mechanism to the search, beside of the predictive controlled characteristics. The proposed method is applied to the 20-nodes transmission real system and the simulations results obtained are satisfactory as well as the comparisons with other methodologies.
  • Keywords
    artificial intelligence; optimisation; power engineering computing; power system restoration; search problems; transmission networks; adaptive-selective tabu search; artificial intelligent method; optimization; reactive tabu search; transmission power systems restoration; Artificial intelligence; Control systems; Design optimization; Human factors; Intelligent systems; Optimization methods; Power system protection; Power system restoration; Psychology; Stress control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Systems Design and Applications, 2007. ISDA 2007. Seventh International Conference on
  • Conference_Location
    Rio de Janeiro
  • Print_ISBN
    978-0-7695-2976-9
  • Type

    conf

  • DOI
    10.1109/ISDA.2007.147
  • Filename
    4389696