Sensitivity verification and application of UHF sensor for partial discharge measurement in high voltage power transformer

Author(s):  
J. R. Jung ◽  
K. R. Hwang ◽  
Y. M. Kim ◽  
E. T. Lyu ◽  
H. J. Yang
2013 ◽  
Vol 845 ◽  
pp. 283-286 ◽  
Author(s):  
Malik Abdul Razzaq Al Saedi ◽  
Mohd Muhridza Yaacob

There is a high risk of insulation system dielectric instability when partial discharge (PD) occurs. Therefore, measurement and monitoring of PD is an important preventive tool to safeguard high-voltage equipment from wanton damage. PD can be detected using optical method to increase the detection threshold and to improve the performance of on-line measurement of PD in noise environment. The PD emitted energy as acoustic emission. We can use this emitted energy to detect PD signal. The best method to detect PD in power transformer is by using acoustic emission. Optical sensor has some advantages such as; high sensitivity, more accuracy small size. Furthermore, in on-site measurements and laboratory experiments, it isoptical methodthat gives very moderate signal attenuations. This paper reviews the available PD detection methods (involving high voltage equipment) such as; acoustic detection and optical detection. The advantages and disadvantages of each method have been explored and compared. The review suggests that optical detection techniques provide many advantages from the consideration of accuracy and suitability for the applications when compared to other techniques.


2013 ◽  
Vol 64 (4) ◽  
Author(s):  
M. M. Yaacob ◽  
Malik Abdulrazzaq Alsaedi

In partial discharge (PD) phenomenon energy is emitted as electromagnetic emission, acoustic emission and chemical reactions as ozone formation and nitrous oxide gases. One of the continuous conditions monitoring process is done in high voltage equipments such as power transformer. This paper deals with a short review on PD detection methods regarding high-voltage equipments such as electrical detection, chemical detection, acoustic detection and optical detection. Also, new technique for PD signal monitoring in power transformer call as chromatic in the present. The chromatic approach shows the ability to quantifying information content of PD signal by chromatic parameters hue (H), saturation (S) and lightness (L), which can be related to characteristics of PD signal. The chromatic approach shows the ability to yielding new patterns, which monitoring indications of the discharges signals with high accurac and without noise.


2020 ◽  
Vol 14 (3) ◽  
pp. 383-390
Author(s):  
Hossein Karami ◽  
Gevork B. Gharehpetian ◽  
Yaser Norouzi ◽  
Maryam Akhavan‐Hejazi

Author(s):  
Sobhy S. Dessouky ◽  
Adel A. Elfaraskoury ◽  
Sherif S.M. Ghoneim ◽  
Ramy. N. R. Ghaly

The occurrence of the Partial Discharge (PD) inside the high voltage apparatus especially in power transformer due to some defect in its insulation system results in a catastrophic failure. Determination the magnitude and location of the PD inside the transformer is very valuable to avoid the undesired outage. In this paper, two important issues will discuss. The first issue, measuring the magnitude of the PD by the electrical detection device (The partial discharge analysis system MPD 600) that has many kits to the acquisition and analysis for detecting, recording and analyzing the PD. PD Measuring the circuit of MPD600 connected to point to plane according to IEC60270 with an optical interface by computer that have Metronix software in case of partial prediction. The second issue is determining the PD location to start the maintenance process. In order to locate the PD inside the transformer the acoustic signals that emit from the PD source were measured and therefore, the Time difference of arrival (TDOA) between these signals is estimated. A point to plan gap configuration that is mounted in the acrylic tank that contains the insulating oil is used to develop the PD point source. In addition four piezoelectric sensors are fitted on the tank walls to receive the acoustic signals. The sensors are coupled with acoustic PD detector which outputs are applied to four-channel digital oscilloscope to measure the acoustic signals. The proposed algorithm results demonstrate the ability of the algorithm to determine the PD location.


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