Abstract

In modern power systems, power transformers are considered vital components that can ensure the grid’s continuous operation. In this regard, studying the breakdown in the transformer becomes necessary, especially its insulating system. Hence, in this study, Box–Behnken design (BBD) was used to introduce a prediction model of the breakdown voltage (VBD) for the transformer insulating oil in the presence of different barrier effects for point/plane gap arrangement with alternating current (AC) voltage. Interestingly, the BBD reduces the required number of experiments and their costs to examine the barrier parameter effect on the existing insulating oil VBD. The investigated variables were the barrier location in the gap space (a/d)%, the relative permittivity of the barrier materials (εr), the hole radius in the barrier (hr), the barrier thickness (th), and the barrier inclined angle (θ). Then, only 46 experiment runs are required to build the BBD model for the five barrier variables. The BBD prediction model was verified based on the statistical study and some other experiment runs. Results explained the influence of the inclined angle of the barrier and its thickness on the VBD. The obtained results indicated that the designed BBD model provides less than a 5% residual percentage between the measured and predicted VBD. The findings illustrated the high accuracy and robustness of the proposed insulating oil breakdown voltage predictive model linked with diverse barrier effects.

Highlights

  • The gap space is constant at 4 cm, and the circular barrier diameter is fixed at 7 cm for all barriers

  • The first barrier variable that influences the VBD is the location of the barrier in the gap space

  • Powerposition transformer insulating oil rather any other role inclined barrier angle or the acrylic barrier made of acrylic, without a hole in the barrier, and the barrier thickness of the power transformer insulating rather than any other inclined barrier or the barrier with a horizontal position.oil

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Summary

Introduction

An artificial neural network (ANN) was presented in [29] to study the barrier effect parameters on the VBD of the transformer insulating oil for the point/plane and plane/plane gaps under AC high voltage. New barrier variables are considered to investigate their effects on the VBD of insulating oils with point /plane gap configuration under alternating current (AC) voltage based on BBD. These barrier variables are the barrier location in the gap space (a/d)%, the dielectric constant of barrier material (εr ), the hole radius in the barrier (hr), the barrier thickness (th), and the inclined angle of the barrier in the gap space (θ). The errors are always less than 5%

Experimental Setup
Arrangement
2.3.Results
Characteristics ofRadius insulating
2.4.Results
Results for Barrier
Statistical Analyses
Validation of the Predictive Mathematical Model
Conclusions
Full Text
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