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

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.

Sensors ◽  
2021 ◽  
Vol 21 (4) ◽  
pp. 1257
Author(s):  
Vid Vončina ◽  
Jože Pihler ◽  
Miro Milanovič

This article presents the development of the theoretical background and the design of an electronic device for monitoring the condition of a gapless Metal Oxide Surge Arrester (MOSA). The device is intended to be used online. Because of the inaccessibility and possible remote location of most surge arresters, it is equipped with a communication system, allowing for the device to convey the measurement of the surge arrester characteristics under any conditions. It is possible to determine the condition of the MOSA by gathering measurements of the surge arrester’s resistive component of leakage current. The leakage current information is sent via data transfer unit to a server and, after interpretation, will be forwarded to the authorised personnel through the surge arrester control centre.


Author(s):  
George R.S. Lira ◽  
Vandilson R.N. Barbosa ◽  
Valdemir S. Brito ◽  
Edson G. Costa ◽  
Cicero R.C. Amorim Filho ◽  
...  

2014 ◽  
Vol 554 ◽  
pp. 608-612
Author(s):  
Vahabi Mashak Saeed ◽  
Zulkurnain Abdul-Malek ◽  
Nabipour Afrouzi Hadi ◽  
Chin Leong Wooi ◽  
Amir Hesam Khavari

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.


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