A Review of Leakage Current-based Condition Monitoring Techniques of Metal Oxide Surge Arresters

2016 ◽  
Author(s):  
Pitshou Ntambu Bokoro
Keyword(s):  
Metal Oxide ◽  
Leakage Current ◽  
Condition Monitoring ◽  
Monitoring Techniques ◽  
Surge Arresters

Methodology to evaluate the performance of metal-oxide surge arresters monitoring techniques based on the resistive leakage current

2018 ◽  
Author(s):  
George R.S. Lira ◽  
Vandilson R.N. Barbosa ◽  
Valdemir S. Brito ◽  
Edson G. Costa ◽  
Cicero R.C. Amorim Filho ◽  
...  
Keyword(s):  
Metal Oxide ◽  
Leakage Current ◽  
Monitoring Techniques ◽  
Surge Arresters

Thermal Image and Leakage Current Diagnostic as a Tool for Testing and Condition Monitoring of ZnO Surge Arrester

2013 ◽  
Vol 64 (4) ◽  
Author(s):  
Novizon N. ◽  
Zulkurnain Abdul Malek ◽  
Nouruddeen Bashir ◽  
N. Asilah
Keyword(s):  
Leakage Current ◽  
Condition Monitoring ◽  
Thermal Imaging ◽  
Harmonic Component ◽  
Strong Relationship ◽  
Thermal Image ◽  
Aging Condition ◽  
Third Harmonic ◽  
Surge Arresters ◽  
Thermal Data

This paper presents a study proposing a method to assess the condition of metal-oxide surge arresters. Thermal data using thermal imaging as well as the leakage current third harmonic component were used as tools to investigate the surge arrester aging condition.  Artificial Neural Network was employed to classify surge arrester condition with the temperature profile, ambient temperature and humidity as inputs and third harmonic leakage current as target. The results indicated a strong relationship between the thermal profile and leakage current of the surge arrester. This finding suggests the viability of this method in condition monitoring of surge arrester.

Surge Arrester Leakage Current Analysis by Using Particle Swarm Optimization Technique

2014 ◽  
Vol 554 ◽  
pp. 608-612
Author(s):  
Vahabi Mashak Saeed ◽  
Zulkurnain Abdul-Malek ◽  
Nabipour Afrouzi Hadi ◽  
Chin Leong Wooi ◽  
Amir Hesam Khavari
Keyword(s):  
Leakage Current ◽  
Condition Monitoring ◽  
Search Algorithm ◽  
Optimization Technique ◽  
Measurement Techniques ◽  
Particle Swarm ◽  
Operating Voltage ◽  
Surge Arresters ◽  
Particle Swarm Optimization Technique ◽  
Total Leakage

Surge arresters, as protective equipment, are used to limit any overvoltage in a power system resulting from various sources. The surge arrester affects from degradation due to the continuous operating voltage system as well as due to repeated lightning current discharge. Therefore, condition monitoring and health diagnostics of surge arresters are a necessary issue. Hence, as a feasible solution, a condition monitoring based on leakage current measurement techniques was selected to tackle the problem of age diagnostics of surge arresters. The Particle Swarm Search Algorithm was introduced as a method for extracting the third harmonic resistive component, Ir3rd, from the total leakage current. To employ this method for extracting Ir3rd, codes were developed in Matlab. The setting of Particle Swarm Search Algorithm was configured for extracting Ir3rd and accuracy of 94% was obtained.

scholarly journals Circuit-based method for extracting the resistive leakage current of metal oxide surge arrester

2020 ◽  
Vol 9 (6) ◽  
pp. 2213-2221 ◽  
Author(s):  
Amir Hesam Khavari ◽  
Abdullah Munir ◽  
Zulkurnain Abdul- Malek
Keyword(s):  
Metal Oxide ◽  
Leakage Current ◽  
Extraction Method ◽  
Maximum Error ◽  
Condition Assessment ◽  
Experimental Results ◽  
Equivalent Model ◽  
Surge Arresters ◽  
Total Leakage ◽  
Resistive Component

Resistive leakage current based condition assessment of metal oxide surge arrester (MOSA) is one of the most extensively employed technique to monitor its degradation. An extraction method is customarily required to extract the resistive component from the total leakage current. The existing methods to extract the resistive current are complex and less accurate. Therefore, this paper describes a simple and accurate circuit-based method to extract the resistive current using equivalent model and measured leakage current of the arrester. The accuracy of the proposed method is validated through experimental results on ABB’s 120 kV surge arrester, EMTP and QuickField software simulations. The performance of the method is also analyzed and verified experimentally on 72, 180 and 240 kV rated ABB’s surge arresters. The obtained results of resistive leakage current have shown the maximum error of 0.001%. Simple and easier computational steps with higher accuracy are the key benefits of the proposed technique.

scholarly journals Condition monitoring and deterioration analysis of metal oxide varistor

2018 ◽  
Vol 69 (5) ◽  
pp. 352-358 ◽  
Author(s):  
Guoming Wang ◽  
Woo-Hyun Kim ◽  
Jong-Hyuk Lee ◽  
Gyung-Suk Kil
Keyword(s):  
Metal Oxide ◽  
Leakage Current ◽  
Condition Monitoring ◽  
Low Voltage ◽  
Short Circuit ◽  
Harmonic Component ◽  
Accelerated Aging ◽  
Ground Fault ◽  
Total Leakage ◽  
Metal Oxide Varistor

Abstract With the growing demand for application of metal-oxide varistor (MOV) in low-voltage electronic circuits for overvoltage protection, it is necessary to ensure its performance to avoid the short-circuit and the line-to-ground fault during operation. In this paper, a precise leakage current analyzer was developed to detect the total leakage current and third harmonic component of MOV for its condition monitoring. The voltage- and temperature-dependent measuring uncertainties were compensated using the multipliers. In addition, the deterioration characteristics of the MOV and the newly developed thermally protected metal-oxide varistor (TMOV) were investigated in the accelerated aging test. From the experimental results, the MOV deteriorated much faster under the lightning current impulse synchronized with power-frequency voltage. The thermally activated fuse of TMOV exploded under two types of impulses, which indicated that the TMOV is much more vulnerable and that it is difficult to diagnose the condition of energized TMOV in advance.

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