Investigation of High Voltage Polymeric Insulators Performance under Wet Pollution
Ali Ahmed Salem1, Kwan Yiew Lau1, Zulkurnain Abdul-Malek1
1Institute of High Voltage and High Current, School of Electrical Engineering, Universiti Teknologi Malaysia, Johor Bahru 81310, Malaysia.
Polymers
|March 26, 2022
Summary
This study models electric field distribution on contaminated polymeric insulators using electrical measurements. The findings help predict dry band formation and flashover, crucial for power system reliability.
Area of Science:
- Electrical Engineering
- Materials Science
Background:
- Polymeric insulators are vital in high-voltage power systems.
- Contamination and environmental factors (rain, fog) significantly impact insulator performance.
- Accurate electric field analysis is essential for preventing flashovers.
Purpose of the Study:
- To develop a novel method for calculating electric field distribution on contaminated polymeric insulators.
- To investigate the influence of different insulator geometries on electric field enhancement.
- To establish a nonlinear, field-dependent conductivity model for pollution layers.
Main Methods:
- Measurements of leakage current (LC) on polluted insulators under laboratory conditions.
- Utilizing the finite element method (FEM) for electric field (EF) and current density computation.
- Characterizing pollution layer conductance to establish field-dependent conductivity.
Main Results:
- Electric field magnitudes increased significantly under high rain (up to 4.5 kV/cm) and fog conditions.
- Insulators with alternating sheds exhibited higher electric fields compared to those with similar sheds.
- The proposed modeling accurately estimated field conditions, crucial for predicting flashover.
Conclusions:
- The developed electrical characteristic-based approach effectively models electric field distribution on contaminated polymeric insulators.
- Understanding electric field enhancement in different geometries is key to designing more robust insulators.
- This research provides critical insights for preventing dry band formation and flashover, enhancing power system safety and reliability.


