Classification of RTV-coated porcelain insulator condition under different profiles and levels of pollution.

Autor: Salem AA; School of Electrical Engineering, College of Engineering, Universiti Teknologi MARA, Shah Alam, 40450, Malaysia. alisalem@uitm.edu.my., Al-Gailani SA; Wireless Communication Centre, Faculty of Electrical Engineering, Universiti Teknologi Malaysia, 81310, UTM Johor Bahru, Malaysia. aasamer@utm.my., Amer AAG; Faculty of Electrical and Electronic Engineering, University Tun Hussein Onn Malaysia, 86400, Batu Pahat, Malaysia., Alsharef M; Department of Electrical Engineering, College of Engineering, Taif University, Taif, 21944, Saudi Arabia., Bajaj M; Department of Electrical Engineering, Graphic Era (Deemed to be University), Dehradun, 248002, India.; Hourani Center for Applied Scientific Research, Al-Ahliyya Amman University, Amman, Jordan.; College of Engineering, University of Business and Technology, Jeddah, 21448, Saudi Arabia., Zaitsev I; Department of Theoretical Electrical Engineering and Diagnostics of Electrical Equipment, Institute of Electrodynamics, National Academy of Sciences of Ukraine, Beresteyskiy, 56, Kyiv-57, 03680, Ukraine. zaitsev@i.ua.; Center for Information-Analytical and Technical Support of Nuclear Power Facilities Monitoring, National Academy of Sciences of Ukraine, Akademika Palladina Avenue, 34-A, Kyiv, Ukraine. zaitsev@i.ua., Ngah R; Wireless Communication Centre, Faculty of Electrical Engineering, Universiti Teknologi Malaysia, 81310, UTM Johor Bahru, Malaysia., Ghoneim SSM; Department of Electrical Engineering, College of Engineering, Taif University, Taif, 21944, Saudi Arabia.
Jazyk: angličtina
Zdroj: Scientific reports [Sci Rep] 2024 Oct 01; Vol. 14 (1), pp. 22759. Date of Electronic Publication: 2024 Oct 01.
DOI: 10.1038/s41598-024-73520-7
Abstrakt: Due to the limited hydrophobic properties of porcelain insulators, applying anti-pollution flashover coatings is crucial to enhance their functionality. This research outlines a classification system for assessing contamination levels on 22 kV porcelain insulators, both with and without coatings. It synthesizes six classification criteria derived through both numerical simulations and experimental studies to effectively gauge contamination severity. The study examined insulators treated with Room Temperature Vulcanizing (RTV) silicone under three different conditions: uncoated, partially coated, and fully coated. Additionally, the research assessed the effects of humidity on these polluted insulators to understand environmental impacts on their performance. The criteria, which are the flashover voltage (x 1 ), fifth to third harmonics of leakage current (x 2 ), maximum electric field (x 3 ), total harmonic index (x 4 ), insulation resistance (x 5 ) and dielectric loss (x 6 ), were proposed for evaluating the insulator's string condition. The finite element method (FEM) was used to simulate an electric field. Then, based on the proposed criteria, the performances of the Random Forest (RF), Support Vector Machine (SVM), K-Nearest Neighbor (KNN), and Multi-layer Perceptron (MLP) have been trained and compared to classify polluted insulator conditions with and without coating. The established criteria facilitate precise monitoring of the condition of high-voltage insulators, ensuring quick and effective responses that support the stability of the electrical power system.
(© 2024. The Author(s).)
Databáze: MEDLINE
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