Prediction of Transformer Oil Breakdown Voltage with Barriers Using Optimization Techniques

Sherif S M Ghoneim,Ragab A El-Sehiemy,Abdullah M Shaheen,Mosleh M Alharthi

doi:10.32604/iasc.2022.020464

Sherif S M Ghoneim, Ragab A El-Sehiemy + Show 2 more

Open Access

https://doi.org/10.32604/iasc.2022.020464

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Abstract

A new procedure to optimally identifying the prediction equation of oil breakdown voltage with the barrier parameters’ effect is presented. The specified equation is built based on the results of experimental works to link the response with the barrier parameters as the inputs for hemisphere-hemisphere electrode gap configuration under AC voltage. The AC HV is applied using HV Transformer Type (PGK HB-100 kV AC) to the high voltage electrode in the presence of a barrier immersed in Diala B insulating oil. The problem is formulated as a nonlinear optimization problem to minimize the error between experimental and estimated breakdown voltages (VBD). Comprehensive comparative analyses are addressed using three recent innovative marine predators, grey wolf, and equilibrium optimization algorithms to reduce the error between the experimental and estimated breakdown voltages. In addition, the experimental results are expressed in two different models via grey and real coding. Finally, simulation results are conducted with statistical indices that show the effectiveness of the proposed models for experimental verification. The total percentage errors of the tested samples between the observed and estimated VBD are 1.207, 1.222, and 1.207 for EO, GWO, MPA, respectively. The marine predator algorithm has the best performance compared with the other two competitive algorithms for grey and actual codes.

Highlights

The insulating oils are used for cooling and insulating purposes in the high voltage (HV) apparatus
Tab. 1 shows the estimated coefficients obtained by the three competitive algorithms for the predicted equations compared with the grey code method for the actual VBD of 15 experiment runs at different values of d, a/d%, and D based on the grey code model extracted by using Box Behnken Design (BBD)
Tab. 2 illustrates the statistical analysis of the minimum, mean, maximum, and standard deviation (STD) of Grey Wolf Optimization (GWO), equilibrium Optimization (EO), and Marine Predators Algorithm (MPA)

Summary

Introduction

The insulating oils are used for cooling and insulating purposes in the high voltage (HV) apparatus. The. HV apparatus’s failure comes from defects in its insulating systems, such as oil in the transformer. Enhancing the dielectric strength of the insulating oil is the main task in research [1]. The barrier is a technique utilized to increase the breakdown voltage (VBD) of the insulating oil because it prevents particle movements and avoids the charge development inside the insulating oil [1,2].

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