LAPSE:2023.9259
Published Article
LAPSE:2023.9259
Development of a Flashover Voltage Prediction Model with the Pollution and Conductivity as Factors Using the Response Surface Methodology
Oussama Ghermoul, Hani Benguesmia, Loutfi Benyettou
February 27, 2023
Abstract
In this paper, the response surface methodology (RSM) is used to predict the flashover voltage of a cap and pin 1512L insulator used by SONELGAZ Algerian Power Company (SPE). The pollution and conductivity are studied using a two-level central composite design. MINITAB 19 software is used to perform the regression analysis and analysis of variance (ANOVA) of the data, from which the full quadratic model is developed. The results show that both the pollution and conductivity have a significant effect on the response. The model validation shows the good agreement between the experiment’s obtained results and the predicted results. Therefore, the model could be used to predict the flashover voltage.
Keywords
ANOVA analysis, conductivities, flashover, level of pollution (L), response surface methodology (RSM)
Suggested Citation
Ghermoul O, Benguesmia H, Benyettou L. Development of a Flashover Voltage Prediction Model with the Pollution and Conductivity as Factors Using the Response Surface Methodology. (2023). LAPSE:2023.9259
Author Affiliations
Ghermoul O: LGE Laboratory, Electrical Engineering Department, Faculty of Technology, University of M’sila, M’sila 28000, Algeria
Benguesmia H: LGE Laboratory, Electrical Engineering Department, Faculty of Technology, University of M’sila, M’sila 28000, Algeria [ORCID]
Benyettou L: LGE Laboratory, Electrical Engineering Department, Faculty of Technology, University of M’sila, M’sila 28000, Algeria
Journal Name
Energies
Volume
15
Issue
19
First Page
7161
Year
2022
Publication Date
2022-09-29
ISSN
1996-1073
Version Comments
Original Submission
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PII: en15197161, Publication Type: Journal Article
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LAPSE:2023.9259
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https://doi.org/10.3390/en15197161
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