Vol(1), Issue(8)

IJSRE - Vol(1), Issue(8)

ESTIMATION OF PARTIAL DISCHARGE INSIDE SOLID INSULATOR USING ARTIFICIAL NEURAL NETWORK
Mr. Umashankar Khare*, Assi. Prof. Varsha Sharma
ABSTRACT :

Due to the high voltage stress the weak zone inside the insulator causes the partial discharge (PD) and finally the insulation properties of such materials is enormously degrades its quality. An electrical circuit model of void presence inside the solid is used to study the PD activity inside the insulator. A small cylindrical void is taken as impurity inside the solid insulating materials and placed at the middle of this insulator which is kept under uniform electric field using the plane-plane electrode arrangement. The entire simulation has been done with the MATLAB environment. An ANN based partial discharge estimator has been proposed in this paper which counts the number of partial discharge and the partial discharge voltage across the measuring unit.

AUTHOR :

Umashankar Khare
M.Tech Student, Department of E.E.E, RSR-RCET, Bhilai, Chhattisgarh, INDIA

Varsha Sharma
Assistant Professor, Department of E.E.E, RSR-RCET, Bhilai, Chhattisgarh, INDIA

KEYWORDS :

Partial Discharge, PD modeling, ANN, Void Creation, Void Parameters

CONCLUSION :

This paper investigated the effect of parameters like applied voltage, dielectric constant of insulating materials and size of void (air) present in solid dielectric sample on partial discharge. A MATLAB SIMULINK based model has been developed which leads to better understanding of PD activity in solid dielectric with void. The model was used to simulate PD in solid dielectric under sinusoidal voltage. The value of the peak PD voltage depends on the values of applied voltage across the solid dielectric. The PD magnitude increases with the increased input applied voltage. Dielectric constants of different types of insulation materials are considered in order to see the significant difference to the peak PD voltage when different insulating materials are used. A significant change in PD magnitude could be observed when different void sizes are used. Also, this paper introduces ANN based partial discharge estimator which counts the number of partial discharge and the partial discharge voltage by using various input PD factors. ANN based Partial Discharge Estimator results shows that the number of partial discharge and the discharge voltage is increasing with increase in applied voltage, relative permittivity of voids, radius and height of voids. Thus it can be conclude that the partial discharge is greatly affected by the parameters of the voids present inside the solid insulator. The PD activity inside the solid insulation is highly depends on the entire geometry of the void presence inside the solid insulation model. In addition, PD increases with the increase of applied voltage inside the solid insulation. This study will ensure the power engineers to predict the quality of the insulation used for high voltage power equipment.

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