An Improved Dynamic Multi-Arcs Modeling Approach for Pollution Flashover of Silicone Rubber Insulator

This article presents a dynamic modeling approach to analyze pollution flashover of silicone rubber insulators. Pre-flashover conditions can be used to represent analytical formulations for different stages of dry band arcing activities on the surface of polluted insulator. In this article, effects...

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Bibliographic Details
Published in:IEEE transactions on dielectrics and electrical insulation 2022-02, Vol.29 (1), p.77-85
Main Authors: Sezavar, Hamid Reza, Fahimi, Navid, Shayegani-Akmal, Amir Abbas
Format: Article
Language:English
Subjects:
Analytical models
Artificial neural networks
Dynamic modeling
Dynamic models
Flashover
flashover prediction
flashover voltage (FOV)
Insulators
Integrated circuit modeling
Leakage current
leakage current (LC)
Mathematical analysis
Mathematical models
Modelling
Pollution
pollution flashover
Pollution monitoring
self-consistent multi-arcs dynamic model
Silicone resins
Silicone rubber
silicone rubber insulator
Silicones
Surface contamination
Thickness
Voltage
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Summary:This article presents a dynamic modeling approach to analyze pollution flashover of silicone rubber insulators. Pre-flashover conditions can be used to represent analytical formulations for different stages of dry band arcing activities on the surface of polluted insulator. In this article, effects of dust deposit as nonsoluble deposit density (NSDD) are investigated on the dynamic behavior of partial arcs on the surface of insulators by means of a proposed multi-arcs modeling approach. It is shown that analytical formulations of dynamic resistance of surface pollution can be used to analyze different modes of arcing as unstable and stable. Real data of leakage current (LC) and flashover voltage (FOV) of polluted insulator are used to make correlation with analytical multi-arcs formulations. The proposed analytical multi-arcs model is based on an artificial neural network (ANN) which is able to predict the LC and FOV of the insulator in real-time monitoring. In addition, effects of pollution resistance as variable surface conduction and thickness of pollution layer are investigated on LC and FOV of the insulators. It is shown that the proposed multi-arcs representation has a closer correlation with real testing data in comparison to previous single-arc and multi-arcs models.
ISSN:1070-9878
1558-4135
DOI:10.1109/TDEI.2022.3146531