Review of Partial Discharge Signal Monitoring In Power Transformer Using Chromatic Approach

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.

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Partial Discharge Detection Using Acoustic and Optical Methods in High Voltage Power Equipments: A Review

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.845.283 ◽

2013 ◽

Vol 845 ◽

pp. 283-286 ◽

Cited By ~ 3

Author(s):

Malik Abdul Razzaq Al Saedi ◽

Mohd Muhridza Yaacob

Keyword(s):

Acoustic Emission ◽

High Voltage ◽

Power Transformer ◽

Partial Discharge ◽

Optical Detection ◽

Detection Threshold ◽

Optical Methods ◽

Detection Methods ◽

Detection Techniques ◽

Advantages And Disadvantages

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.

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Evaluation of UHF Transfer Function in a Power Transformer for Real-Time Partial Discharge Detection

Journal of Mobile Multimedia ◽

10.13052/jmm1550-4646.16124 ◽

2020 ◽

Author(s):

Sathaporn Promwong ◽

Thanadol Tiengthong

Keyword(s):

Transfer Function ◽

Real Time ◽

High Voltage ◽

Power Transformer ◽

Partial Discharge ◽

Complex Form ◽

Detection Methods ◽

Laptop Computer ◽

Em Method ◽

Time Diagnosis

The UHF transfer function is significant for a short-range communication system, e.g., a real-time diagnosis of partial discharge (PD). Real-time diagnosis of the PD has become a challenging topic of improving the diagnosis of high voltage equipment, including a power transformer. Further, the PD detection in high voltage equipment is critical since the PD can cause severe damage to electrical systems. The PD detection methods are classified by a phenomenon of the PD. The PD detection by electromagnetic (EM) method is regulated by IEC TS 62478, which specified the UHF band for the PD detection in power transformers. Hence, an evaluation of frequency characteristics is essential to achieve an excellent diagnostic performance. In this paper, a complex form of channel analysis is applied with the PD detection method. The measurement model in a power transformer is proposed. The optimum receiver is introduced to maximize SNR and hence it is easy to analyze the results. The results were analyzed by using magnitude, phase, group delay, received waveform, and path loss parameters. The results show that the measured channel is affected by the structure of the power transformer. The contribution of this research is useful for improving the precision of the PD detection with EM method and building an accurate real-time partial diagnosis via a smartphone or laptop computer.

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A Review of Techniques for RSS-Based Radiometric Partial Discharge Localization

Sensors ◽

10.3390/s21030909 ◽

2021 ◽

Vol 21 (3) ◽

pp. 909

Author(s):

David W. Upton ◽

Keyur K. Mistry ◽

Peter J. Mather ◽

Zaharias D. Zaharis ◽

Robert C. Atkinson ◽

...

Keyword(s):

Power Systems ◽

High Voltage ◽

Partial Discharge ◽

Specific Area ◽

Electrical Insulation ◽

Acoustic Detection ◽

Advantages And Disadvantages ◽

Initial Stage ◽

Catastrophic Failures ◽

Radiometric Detection

The lifespan assessment and maintenance planning of high-voltage power systems requires condition monitoring of all the operational equipment in a specific area. Electrical insulation of electrical apparatuses is prone to failure due to high electrical stresses, and thus it is a critical aspect that needs to be monitored. The ageing process of the electrical insulation in high voltage equipment may accelerate due to the occurrence of partial discharge (PD) that may in turn lead to catastrophic failures if the related defects are left untreated at an initial stage. Therefore, there is a requirement to monitor the PD levels so that an unexpected breakdown of high-voltage equipment is avoided. There are several ways of detecting PD, such as acoustic detection, optical detection, chemical detection, and radiometric detection. This paper focuses on reviewing techniques based on radiometric detection of PD, and more specifically, using received signal strength (RSS) for the localization of faults. This paper explores the advantages and disadvantages of radiometric techniques and presents an overview of a radiometric PD detection technique that uses a transistor reset integrator (TRI)-based wireless sensor network (WSN).

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Simultaneous radial deformation and partial discharge detection of high‐voltage winding of power transformer

IET Electric Power Applications ◽

10.1049/iet-epa.2019.0528 ◽

2020 ◽

Vol 14 (3) ◽

pp. 383-390

Author(s):

Hossein Karami ◽

Gevork B. Gharehpetian ◽

Yaser Norouzi ◽

Maryam Akhavan‐Hejazi

Keyword(s):

High Voltage ◽

Power Transformer ◽

Partial Discharge ◽

Radial Deformation ◽

Discharge Detection

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Acoustic and Electrical Detection to Localize And Measure the Partial Discharge in High Voltage Apparatus

International Journal of Advanced Research in Engineering ◽

10.24178/ijare.2017.3.4.22 ◽

2017 ◽

Vol 3 (4) ◽

pp. 22

Author(s):

Sobhy S. Dessouky ◽

Adel A. Elfaraskoury ◽

Sherif S.M. Ghoneim ◽

Ramy. N. R. Ghaly

Keyword(s):

High Voltage ◽

Power Transformer ◽

Partial Discharge ◽

Acoustic Signals ◽

Electrical Detection ◽

Insulation System ◽

Digital Oscilloscope ◽

Analysis System ◽

Maintenance Process ◽

To Receive

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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