• DocumentCode
    3575371
  • Title

    Automatic Power System Identification Using Genetic Algorithms

  • Author

    Nowakova, Jana ; Platos, Jan ; Snasel, Vaclav

  • Author_Institution
    FEECS & IT4Innovation, VSB-Tech. Univ. of Ostrava, Ostrava, Czech Republic
  • fYear
    2014
  • Firstpage
    133
  • Lastpage
    137
  • Abstract
    Some identification methods of the systems are developed, but there is still some space for finding new solutions for such classic and needed procedure as the identification is. For proposed solution in the paper the genetic algorithms are used as optimization method for finding the parameters of difference equation of systems of the system of 2nd order with defined transfer function, but it can be used for the huge scale of systems, the only task is to be able to define the general difference equation and be able to store the data. This method is going to be added to the complex system of intelligent controller. The used genetic algorithms is designed to discover the whole search space with constant attempts to find better solution and not be stuck in local minima. The proposed algorithm finds the solution of the problem with defined precision and in real time on common computer equipment.
  • Keywords
    difference equations; genetic algorithms; power system identification; transfer functions; automatic power system identification; common computer equipment; defined transfer function; general difference equation; genetic algorithms; identification methods; intelligent controller; optimization method; search space; Biological cells; Difference equations; Genetic algorithms; Sociology; Statistics; Transfer functions; Vectors; Identification; genetic programming; optimization; system;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Networking and Collaborative Systems (INCoS), 2014 International Conference on
  • Print_ISBN
    978-1-4799-6386-7
  • Type

    conf

  • DOI
    10.1109/INCoS.2014.64
  • Filename
    7057081