Development of a Flashover Voltage Prediction Model with the Pollution and Conductivity as Factors Using the Response Surface Methodology

Oussama Ghermoul, Hani Benguesmia () and Loutfi Benyettou
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Oussama Ghermoul: LGE Laboratory, Electrical Engineering Department, Faculty of Technology, University of M’sila, M’sila 28000, Algeria
Hani Benguesmia: LGE Laboratory, Electrical Engineering Department, Faculty of Technology, University of M’sila, M’sila 28000, Algeria
Loutfi Benyettou: LGE Laboratory, Electrical Engineering Department, Faculty of Technology, University of M’sila, M’sila 28000, Algeria

Energies, 2022, vol. 15, issue 19, 1-11

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: flashover; response surface methodology (RSM); level of pollution (L); conductivities; ANOVA analysis (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)

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