Title :
GIS partial discharge severity assessment: A digital image approach
Author :
Zhiyang Jin ; Bo Qi ; Chengrong Li ; Le Yu ; Zhaoliang Xing ; Dangguo Xu ; Shaoyu Liu
Author_Institution :
Beijing Area Major Lab. of High Voltage & EMC, North China Electr. Power Univ., Beijing, China
Abstract :
Gas insulated substation (GIS) has been widely used in the field of high voltage power transmission. However, GIS equipments are witnessing more and more internal faults and failures as the voltage class of power network and capacity of power system keep upgrading. Therefore, an effective way in assessing the internal insulation conditions of GIS equipments is needed more urgently than ever. The severity of partial discharge used to be mainly judged through comparing partial discharge spectra on the basis of visual comparison and individual experience, which have served as the most important measurement in the field. Nevertheless, this subjective method falls short of accuracy and efficiency. To better measure the severity of partial discharge in GIS, this paper adopts digital image processing techniques to analyze the correlation between the spectra captured and the severity of partial discharge. Verified by laboratory experiments, the digital image approach demonstrates effectiveness in accurately assessing the GIS partial discharge severity.
Keywords :
gas insulated substations; image processing; partial discharge measurement; power engineering computing; power transmission faults; GIS equipments; GIS partial discharge severity assessment; digital image approach; digital image processing techniques; field measurement; gas insulated substation; high voltage power transmission; internal faults; internal insulation conditions; laboratory experiments; partial discharge severity measurement; partial discharge spectra; power network voltage class; power system capacity; visual comparison; Feature extraction; Gas insulation; Image color analysis; Partial discharges; Shape; Substations; assessment; gas insulated substation (GIS); partial discharge; severity;
Conference_Titel :
Condition Monitoring and Diagnosis (CMD), 2012 International Conference on
Conference_Location :
Bali
Print_ISBN :
978-1-4673-1019-2
DOI :
10.1109/CMD.2012.6416239