DocumentCode :
3586666
Title :
CSA-Kapur Method to determine ice load amount on electric transmission line conductors
Author :
Akbal, Bahadir ; Aydin, Musa
Author_Institution :
Dept. of Electr. & Electron. Eng., Selcuk Univ., Konya, Turkey
fYear :
2014
Firstpage :
19
Lastpage :
22
Abstract :
Ice load causes important faults on electric transmission lines (ETL), and power outages can be seen for days because of ice load. So, ice load effect must be prevented on ETL. One of the effect methods is Joule Effect Method (JEM). In JEM, ETL conductor is heated by current, and ice on conductor is melted. But primarily ice load amount must be determined to determine value of melting current. In this study, the iced conductor thickness was used to determine ice load amount, and image segmentation method was used to determine the iced conductor thickness. Image segmentation of image of iced conductor is difficult because of environmental factor. So, multilevel threshold method was used for image segmentation, and Kapur Method was used as multilevel threshold method. But detecting of optimal threshold levels with traditional Kapur Method is difficult. So, Clonal Selection Algorithm (CSA) was used to detect optimal threshold level.
Keywords :
conductors (electric); ice; image segmentation; power engineering computing; power transmission faults; power transmission lines; power transmission reliability; CSA-Kapur method; ETL conductor faults; JEM; Joule effect method; clonal selection algorithm; electric transmission line conductor; ice load; iced conductor thickness; image segmentation method; melting current; multilevel threshold method; power outages; Conductors; Ice; Image segmentation; Power transmission lines; Signal processing algorithms; Sociology; Statistics; CSA; Ice load; Kapur Method; image segmentation; multilevel threshold;
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.2014.7090204
Filename :
7090204
Link To Document :
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