• DocumentCode
    2286671
  • Title

    An Evolutionary Algorithm Approach to Estimate the Parameters of Power Quality Signals

  • Author

    Pandi, V. Ravikumar ; Panigrahi, B.K.

  • Author_Institution
    Dept. of Electr. Eng., Indian Inst. of Technol., New Delhi
  • fYear
    2006
  • fDate
    12-15 Dec. 2006
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    This paper presents an evolutionary algorithm approach to determine the amplitude, phase and frequency of a power quality signal. Genetic algorithm (GA) and particle swarm optimization (PSO) are the two evolutionary algorithms adopted to extract the above parameters of the power quality signal.
  • Keywords
    genetic algorithms; particle swarm optimisation; power supply quality; power system parameter estimation; evolutionary algorithm approach; genetic algorithm; particle swarm optimization; power quality signal; Amplitude estimation; Biological cells; Evolutionary computation; Frequency estimation; Genetic algorithms; Industrial power systems; Parameter estimation; Particle swarm optimization; Power quality; Power system harmonics; Genetic Algorithm; Particle Swarm Optimization; Power Quality; Voltage flicker;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Electronics, Drives and Energy Systems, 2006. PEDES '06. International Conference on
  • Conference_Location
    New Delhi
  • Print_ISBN
    0-7803-9772-X
  • Electronic_ISBN
    0-7803-9772-X
  • Type

    conf

  • DOI
    10.1109/PEDES.2006.344253
  • Filename
    4147960
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2286671