Simplified Thermal Computation of a Metal Oxide Varistor Element under a Lightning Impulse Current Injection

2021 ◽  
Author(s):  
Tokuya Tanaka ◽  
Yoshihiro Baba ◽  
Yoshimasa Tsujimoto ◽  
Naoyuki Tsukamoto
Keyword(s):  
Metal Oxide ◽  
Current Injection ◽  
Lightning Impulse ◽  
Metal Oxide Varistor ◽  
Impulse Current

scholarly journals A Study on the Change of the Characteristics of Metal Oxide Element by Application of Lightning Impulse Current

1997 ◽  
Vol 117 (5) ◽  
pp. 749-750
Author(s):  
Katsuji Igarashi ◽  
Norihiko Ichise ◽  
Eisaku Oho ◽  
Norio Baba ◽  
Teruya Kouno ◽  
...  
Keyword(s):  
Metal Oxide ◽  
Lightning Impulse ◽  
Impulse Current

Neural Network Model to Estimate Resistivity of Ground Enhancers Reinforced with Graphene Nano Particles for Transmission Lines

2019 ◽  
Vol 58 ◽  
pp. 139-150
Author(s):  
Isaias Ramirez-Vazquez ◽  
Miguel Ramirez-Gonzalez ◽  
J. Eduardo Salgado-Talavera
Keyword(s):  
Neural Network ◽  
Network Model ◽  
Neural Network Model ◽  
Transmission Lines ◽  
Nano Particles ◽  
Grounding System ◽  
Surge Arresters ◽  
Lightning Impulse ◽  
Graphene Nanoparticles ◽  
Impulse Current

For many high voltage transmission lines, lightning is the first cause of outages. Different alternatives have been used to diminish these outages, like the use of counterpoise wires, installation of surge arresters, and the improvement of the grounding system using ground enhancers or chemical enhancers. In this paper, graphene nanoparticles were used to reformulate commercial ground enhancers. The results of this research end up in an improvement factor of up to 100 times the reduction in resistivity, when graphene nanoparticles are used. After lightning current impulse tests done on both types of samples, the performance of the un-reformulated ground enhancer samples shows a faster deterioration than the graphene reinforced ground enhancer samples. In order to establish a criterion to quantitatively rank the chemical ground enhancers ́ performance after the lightning impulse current tests, a neural network model was developed.

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