Title :
Modern power spectral density estimation of discharge pulses of polluted insulators
Author :
Tan, Wenqiang ; Zhu, Zhan ; Yao, Shuyou ; Xiong, Lan ; Zhang, Zhanlong
Author_Institution :
Zigong Electr. Power Co., Zigong
Abstract :
Although the insulation level of polluted insulators and the number of ultra-violet discharge pulses have close relationship, it is difficult to determine the insulation level of polluted insulators only by the number of discharge pulses. This paper illustrates the method of time-series analysis to study power spectral density (PSD) of ultra-violet discharge pulses from one string of 110 kV polluted insulators, by applying Burg algorithm to establish the autoregressive model based on field data. Results indicate that different polluted level has its own corresponding curve, so it is possible to classify the insulation level of insulators through PSD method.
Keywords :
discharges (electric); insulator contamination; Burg algorithm; autoregressive model; field data; polluted insulators; power spectral density estimation; time-series analysis; ultra-violet discharge pulses; voltage 110 kV; Data acquisition; Data analysis; Dielectrics and electrical insulation; Electric variables measurement; Infrared detectors; Infrared imaging; Instruments; Pollution measurement; Pulse measurements; Time series analysis;
Conference_Titel :
Automation Congress, 2008. WAC 2008. World
Conference_Location :
Hawaii, HI
Print_ISBN :
978-1-889335-38-4
Electronic_ISBN :
978-1-889335-37-7