MATEC Web Conf.
Volume 208, 20182018 3rd International Conference on Measurement Instrumentation and Electronics (ICMIE 2018)
|Number of page(s)||5|
|Section||Signal Analysis and Processing|
|Published online||26 September 2018|
Experimental Research on Relationship between UHF Partial Discharge Signals and Discharge Quantity in GIS
Electric Power Science Research Institute, Guizhou Power Grid Co., Ltd, Guiyang 550000, China
2 School of Electrical Engineering, Wuhan University, Wuhan 430000, China
3 Guiyang Power Supply Burea, Guizhou Power Grid Co., Ltd, Guiyang 550000, China
4 Liupanshui Power Supply Burea, Guizhou Power Grid Co., Ltd, Liupanshui 553000, China
5 Duyun Power Supply Burea, Guizhou Power Grid Co., Ltd, Duyun 558000, China
6 Tongren Power Supply Burea, Guizhou Power Grid Co., Ltd, Tongren 554300, China
Apparent discharge quantity is usually recognized as judgement standard for severity of partial discharge in the field of electrical equipment insulation diagnosis. In recent years, the ultra-high-frequency (UHF) method has been widely used due to its unique advantages on on-line monitoring and positioning, but the relationship between UHF partial discharge signals and discharge quantity is still a difficult problem of UHF method. In order to research relationship between UHF partial discharge signals and discharge quantity in GIS, a large number of experiments, based on four kinds of typical insulation defects in the GIS, are carried out. Degree of correlation, between parameters including UHF energy, quadratic integral, peak voltage, peak-to-peak value, wave area and discharge quantity, the square of discharge quantity, is studied based on coefficient of determination. The experimental results show there is linear relation between UHF signal energy and the square of discharge quantity with high related degree.
© The Authors, published by EDP Sciences, 2018
This is an open access article distributed under the terms of the Creative Commons Attribution License 4.0 (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.