• DocumentCode
    3586667
  • Title

    Comparison of PSO-Kapur and DE-Kapur methods to determine ice load on aerial lines

  • Author

    Akbal, Bahadir ; Aydin, Musa

  • Author_Institution
    Dept. of Electr. & Electron. Eng., Selcuk Univ., Konya, Turkey
  • fYear
    2014
  • Firstpage
    23
  • Lastpage
    28
  • Abstract
    Aerial lines are designed according to the calculated a certain ice load amount. If ice load amount on conductor of aerial line is bigger than the calculated ice load amount, aerial line pole bending or conductor breakage can be seen. Joule effect method is proposed to eliminate ice load effect but primarily, the occurred ice load amount on conductor of aerial line must be determined. Ice load amount can be determined with ice thickness of iced conductor. In this study, ice thickness of iced conductor is determined with image segmentation method, but image segmentation is difficult due to high humidity. So, multilevel thresholding method was used to decrease high humidity effect. PSO-Kapur and DE-Kapur Methods were used as multilevel thresholding method. When these results were compared, it was seen that the result of DE-Kapur method was more close to value of real ice thickness according to the result of PSO-Kapur method.
  • Keywords
    bending; conductors (electric); evolutionary computation; humidity; ice; image segmentation; particle swarm optimisation; poles and towers; power transmission lines; DE-Kapur method; Joule effect method; PSO-Kapur Method; aerial line conductor; aerial line pole bending; differential evolution algorithm; ice load determine; ice load elimination; image segmentation method; multilevel thresholding method; particle swarm optimization; Conductors; Humidity; Ice thickness; Image segmentation; Sociology; Statistics; DE; Kapur Method; PSO; image segmentation; multilevel thresholding;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electronics, Computers and Artificial Intelligence (ECAI), 2014 6th International Conference on
  • Print_ISBN
    978-1-4799-5478-0
  • Type

    conf

  • DOI
    10.1109/ECAI.2014.7090205
  • Filename
    7090205