scholarly journals Study of the Influence of Winding and Sensor Design on Ultra-High Frequency Partial Discharge Signals in Power Transformers

Sensors ◽  
2020 ◽  
Vol 20 (18) ◽  
pp. 5113 ◽  
Author(s):  
Chandra Prakash Beura ◽  
Michael Beltle ◽  
Stefan Tenbohlen
Keyword(s):  
Simulation Model ◽  
High Frequency ◽  
Partial Discharge ◽  
Complex Structure ◽  
Signal Propagation ◽  
Power Transformers ◽  
Sensor Design ◽  
Propagation Characteristics ◽  
Ultra High Frequency ◽  
Research Activities

Ultra-high frequency (UHF) partial discharge (PD) measurements in power transformers are becoming popular because of the advantages of the method. Therefore, it is necessary to improve the basic understanding of the propagation of signals inside the transformer tank and the factors that influence the sensitivity of the measurement. Since the winding represents a major obstacle to the propagation of the UHF signals, it is necessary to study the effect of winding design on signal propagation. Previous research activities have studied these effects using simplified models, and it is essential to consider the complexity of propagation in a complete transformer tank. Additionally, the quality of UHF PD measurements depends, to a large extent, on the sensitivity of the UHF sensors. In this contribution, a simulation model consisting of a simple, grounded enclosure with multiple winding designs is used to study the propagation characteristics of UHF signals when an artificial PD source is placed inside the winding. After analysis of the results, the winding designs are incorporated in an existing and validated simulation model of a 420 kV power transformer and analyzed to observe the influence in a more complex structure. Two commonly used sensor designs are also used in the simulation model to receive the signals. In all cases, the propagation and signal characteristics are analyzed and compared to determine the influence of the winding and sensor design on the UHF signals. It is found that the level of detail of winding design has a significant impact on the propagation characteristics. However, the attenuation characteristics of the UHF signals received by the two sensor designs are similar, with the electric field distribution around the sensor being the key difference.

scholarly journals An Intelligent Sensor for the Ultra-High-Frequency Partial Discharge Online Monitoring of Power Transformers

Energies ◽  
2016 ◽  
Vol 9 (5) ◽  
pp. 383 ◽  
Author(s):  
Jian Li ◽  
Xudong Li ◽  
Lin Du ◽  
Min Cao ◽  
Guochao Qian
Keyword(s):  
High Frequency ◽  
Online Monitoring ◽  
Partial Discharge ◽  
Power Transformers ◽  
Intelligent Sensor ◽  
Ultra High Frequency

scholarly journals On-Line Partial Discharge Monitoring System for Power Transformers Based on the Simultaneous Detection of High Frequency, Ultra-High Frequency, and Acoustic Emission Signals

Energies ◽  
2020 ◽  
Vol 13 (12) ◽  
pp. 3271 ◽  
Author(s):  
Wojciech Sikorski ◽  
Krzysztof Walczak ◽  
Wieslaw Gil ◽  
Cyprian Szymczak
Keyword(s):  
Acoustic Emission ◽  
Monitoring System ◽  
High Frequency ◽  
Power Transformer ◽  
Partial Discharge ◽  
Power Transformers ◽  
Ultra High Frequency ◽  
On Line ◽  
Simultaneous Use ◽  
Dielectric Window

The article presents a novel on-line partial discharge (PD) monitoring system for power transformers, whose functioning is based on the simultaneous use of three unconventional methods of PD detection: high-frequency (HF), ultra-high frequency (UHF), and acoustic emission (AE). It is the first monitoring system equipped in an active dielectric window (ADW), which is a combined ultrasonic and electromagnetic PD sensor. The article discusses in detail the process of designing and building individual modules of hardware and software layers of the system, wherein the most attention was paid to the PD sensors, i.e., meandered planar inverted-F antenna (MPIFA), high-frequency current transformer (HFCT), and active dielectric window with ultrasonic transducer, which were optimized for detection of PDs occurring in oil-paper insulation. The prototype of the hybrid monitoring system was first checked on a 330 MVA large power transformer during the induced voltage test with partial discharge measurement (IVPD). Next, it was installed on a 31.5 MVA substation power transformer and integrated according to the standard IEC 61850 with SCADA (Supervisory Control and Data Acquisition) system registering voltage, active power, and oil temperature of the monitored unit. The obtained results showed high sensitivity of the manufactured PD sensors as well as the advantages of the simultaneous use of three techniques of PD detection and the possibility of discharge parameter correlation with other power transformer parameters.

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