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All Journal Asian Journal of Science, Technology, Engineering, and Art
Bakare, G. A.
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Arts Computer Science & IT Engineering Social Sciences

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Design and Optimization of 30/40MVA, 132/33kV Power Transformer Using Responses Surface Methodology Sani, Sabo M.; Bakare, G. A.; Mahmood, A.; Sabo, A.
Asian Journal of Science, Technology, Engineering, and Art Vol 3 No 3 (2025): Asian Journal of Science, Technology, Engineering, and Art
Publisher : Darul Yasin Al Sys

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58578/ajstea.v3i3.5691

Abstract

Transformer is the main apparatus of the power system for both transmission and distribution of electrical energy. It is the important component of electrical engineering because of its high efficiency and helps in step up and step down the voltage, impedance matching and circuit isolation. Team of designers, engineers and building owners struggled for high performance in order to maximize the transformer efficiencies and minimized losses, weight, volume and costs. Design and selection of material to construct a transformer core is a significant process. When designing transformers, especially power transformers, incorrect sizing of active components such as core geometry, low voltage winding and high voltage winding dimensions and tank dimensions can cause additional losses in the transformer. Determining these parameters at the design stage using optimization techniques has a very significant impact on the efficiency and cost effectiveness of the transformer. The purpose of this work is to design and optimized a practical 30/40MVA, 132/33kV, three phase power transformer using Octave and Responses Surface Methodology (RSM). From the work, it was concluded that the optimization of power transformer gives more accurate results as compared to the assume values. The percentage variations of core loss and copper loss in the optimized power transformer with respect to classical value were 4.35% and 13.48%, while that of efficiency was 0.14%.The percentage variations of reactance as well as the core area with classical values were 29.22% and 14.73%. Thus, for the accurate analysis of the result, it is important to optimize the power transformer.
Modelling and Analysis of a Power Transformer Using Finite Element Analysis Muhammad, Sabo Sani; Abdulrazak, Sabo; Bakare, G. A.; Abdulhafiz, Sabo; Nazif, D. M.
Asian Journal of Science, Technology, Engineering, and Art Vol 3 No 3 (2025): Asian Journal of Science, Technology, Engineering, and Art
Publisher : Darul Yasin Al Sys

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58578/ajstea.v3i3.5703

Abstract

This study presents an enhanced Finite Element Method (FEM) model for comprehensive analysis of power transformers, addressing electromagnetic, thermal, and electrostatic performance aspects with improved accuracy and efficiency. Conventional analytical approaches to evaluating transformer characteristics—such as core losses, copper losses, magnetic flux distribution, and thermal behavior—are often labor-intensive and susceptible to inaccuracies. To overcome these limitations, a double discretization FEM (DD-FEM) framework was developed using ANSYS Maxwell and ANSYS Mechanical software to simulate a 30 MVA, 132/33 kV three-phase power transformer. The electromagnetic simulation yielded core and copper losses of 19.62 kW and 97.03 kW, respectively, with DD-FEM reducing absolute errors by 1.38% and 1.48% compared to standard FEM methods. Thermal modeling under normal loading conditions indicated a peak winding temperature of 94.2°C, rising to 112.9°C during overloading (33 MVA), thus justifying the need for forced cooling systems. Electrostatic analysis confirmed that electric field stresses between windings remained within safe operational limits (10.48 kV/mm²), though a localized insulation weakness was identified between the low-voltage winding and the core (3.74 kV/mm²). Across all evaluated parameters, the DD-FEM model showed superior alignment with benchmark analytical results, reducing relative errors in core loss estimation by up to 12.2%. These results affirm the efficacy of the enhanced FEM approach in optimizing transformer design, enhancing operational reliability, and reducing engineering uncertainty, particularly under varying load and fault scenarios. The study demonstrates the critical role of advanced numerical tools in modern transformer engineering and high-fidelity system simulation.
Co-Authors Abdulhafiz, Sabo Abdulrazak, Sabo Mahmood, A. Muhammad, Sabo Sani Nazif, D. M. Sabo, A. Sani, Sabo M.