Published on: April 2026
MODELLING AND SIMULATION OF TRANSFORMER USING PYTHON PROGRAMMING
Sunnamgalla Sivaji Telugu Rahul Chandra Shaik Mujahid Konda Venkata Suman Kumar Reddy
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Abstract
Transformers are the backbone of electrical power systems, enabling efficient voltage transformation and power transmission. Accurate modelling and simulation are essential for understanding their behaviour and designing reliable systems. This project presents a Python-based platform for simulating single-phase transformers using NumPy and Matplotlib. The platform computes key parameters including voltage regulation, efficiency, and performance under varying load conditions. By combining a mathematical model with interactive simulations, students gain practical, hands-on experience with electrical machines. The generated graphs clearly visualise how changes in variables affect transformer performance. This approach is cost-effective and requires no specialised laboratory equipment, providing an accessible and interactive environment for learning about electrical machines and power systems
How to Cite this Paper
Sivaji, S., Chandra, T. R., Mujahid, S. & Reddy, K. V. S. K. (2026). Modelling and Simulation of Transformer using Python Programming. International Journal of Creative and Open Research in Engineering and Management, <i>02</i>(04). https://doi.org/10.55041/ijcope.v2i4.696
Sivaji, Sunnamgalla, et al.. "Modelling and Simulation of Transformer using Python Programming." International Journal of Creative and Open Research in Engineering and Management, vol. 02, no. 04, 2026, pp. . doi:https://doi.org/10.55041/ijcope.v2i4.696.
Sivaji, Sunnamgalla,Telugu Chandra,Shaik Mujahid, and Konda Reddy. "Modelling and Simulation of Transformer using Python Programming." International Journal of Creative and Open Research in Engineering and Management 02, no. 04 (2026). https://doi.org/https://doi.org/10.55041/ijcope.v2i4.696.
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References
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[6] Matplotlib Development Team, "Matplotlib Documentation for Data Visualization," Available: https://matplotlib.org, 2025.
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- •Peer Review Type: Double-Blind Peer Review
- •Published on: Apr 25 2026
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