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Enhancement of Dielectric Strength for Medium Voltage Cross-Linked Polyethylene (XLPE) Cables

By: Contributor(s): Publication details: Ghaziabad Mantech Publications 2021Edition: Vol,6(3), Sep-DecDescription: 11-22pSubject(s): Online resources: In: Recent trends in electrical machines and drivesSummary: varieties of polymeric materials used in medium voltage cables, which are considered to be the foundation of the power system, are of importance to energy distribution firms. This study attempted to improve the electrical characteristics of cross-linked polyethylene (XLPE) after adding inorganic fillers such as Silica (SiO2) filler at 10%, 20%, 30%, and 40% concentration percentages. The samples' dielectric strength was evaluated under various heat settings (0, 25, and 100 C0) to imitate various types of environments. Thermal ageing is simulated for one week at various temperatures (70, 100, and 120 C0) to explore the influence of increased temperature stressors on the electric characteristics of XLPE in a thermal drying oven following the addition of Silica filler. Curve fitting is used to select the best relationship between dielectric strength rates for each temperature state and various Silica filler percentages. It was discovered that the maximum value of dielectric strength for XLPE may be produced with a 30% SiO2 filler [max. at 70 Co(30.07kV/mm)]. Polynomial regression using MATLAB code was used to determine the appropriate percentages of SiO2 filler and the greatest dielectric strength value. This regression technique is a kind of linear regression that includes higher order powers of an independent variable (2nd, 3rd, etc.) and defines a link between an explanatory variable and a response variable.
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varieties of polymeric materials used in medium voltage cables, which are considered to be the foundation of the power system, are of importance to energy distribution firms. This study attempted to improve the electrical characteristics of cross-linked polyethylene (XLPE) after adding inorganic fillers such as Silica (SiO2) filler at 10%, 20%, 30%, and 40% concentration percentages. The samples' dielectric strength was evaluated under various heat settings (0, 25, and 100 C0) to imitate various types of environments. Thermal ageing is simulated for one week at various temperatures (70, 100, and 120 C0) to explore the influence of increased temperature stressors on the electric characteristics of XLPE in a thermal drying oven following the addition of Silica filler. Curve fitting is used to select the best relationship between dielectric strength rates for each temperature state and various Silica filler percentages. It was discovered that the maximum value of dielectric strength for XLPE may be produced with a 30% SiO2 filler [max. at 70 Co(30.07kV/mm)]. Polynomial regression using MATLAB code was used to determine the appropriate percentages of SiO2 filler and the greatest dielectric strength value. This regression technique is a kind of linear regression that includes higher order powers of an independent variable (2nd, 3rd, etc.) and defines a link between an explanatory variable and a response variable.

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