Flashover Voltage Prediction Models under Agricultural and Biological Contaminant Conditions on Insulators

Shabana Khatoon, Asfar Ali Khan, Mohd Tariq, Basem Alamri and Lucian Mihet-Popa
Additional contact information
Shabana Khatoon: Department of Electrical Engineering, Zakir Husain College of Engineering and Technology, Aligarh Muslim University, Aligarh 202002, India
Asfar Ali Khan: Department of Electrical Engineering, Zakir Husain College of Engineering and Technology, Aligarh Muslim University, Aligarh 202002, India
Mohd Tariq: Department of Electrical Engineering, Zakir Husain College of Engineering and Technology, Aligarh Muslim University, Aligarh 202002, India
Basem Alamri: Department of Electrical Engineering, College of Engineering, Taif University, Taif 21944, Saudi Arabia
Lucian Mihet-Popa: Faculty of Information Technology, Engineering and Economics, Oestfold University College, 1757 Halden, Norway

Energies, 2022, vol. 15, issue 4, 1-14

Abstract: The flashover performance of contaminated insulators highly depends on the type of pollutant and its present concentration. In this paper, important agricultural salts (NaCl, K 2 SO 4 , NaHCO 3 , CaSO 4 , KHCO 3 , MgSO 4 , NH 4 ), 2Fe(SO 4 ) 2 , and 6H 2 O (ferrous ammonium sulphate, dust, and urea) at different concentrations, and biological contaminants, such as algae and fungi, were taken as pollutants, and the AC flashover behavior of a porcelain-cap-and-pin-type insulator polluted with these two different pollutants was investigated. The experiment was carried out by a semi-natural method, wherein the insulator was first polluted artificially; thereafter, natural fog was applied to measure the wet flashover voltage. Test results indicated that the flashover voltages were affected by both soluble salts and non-soluble components deposited on the insulator surface. In the case of the thickly contaminated layers, non-soluble deposits greatly reduced the flashover voltage. Moreover, by using regression analysis, four empirical models based on different variables were developed. The empirical models developed in the present work represented a good degree of relation in predicting the flashover voltage of naturally contaminated insulators.

Keywords: organic contamination; flashover voltage; high-voltage insulators; ESDD; conductivity measurement (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
https://www.mdpi.com/1996-1073/15/4/1297/pdf (application/pdf)
https://www.mdpi.com/1996-1073/15/4/1297/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:15:y:2022:i:4:p:1297-:d:746626

Access Statistics for this article

Energies is currently edited by Ms. Agatha Cao

More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().