Simulation and Operation of Smart Power Transformer using Artificial Intelligence

Author(s)	Mr. Hanuman Prasad Sharma
Country	India
Abstract	Smart power transformers are emerging as a key component of modern smart grids due to their ability to provide real-time monitoring, control, and adaptive operation. With the integration of Artificial Intelligence (AI), transformers can predict faults, optimize performance, and enhance reliability. This research paper focuses on the simulation and operational analysis of smart transformers using AI techniques such as Machine Learning (ML), Artificial Neural Networks (ANN), and predictive analytics. The study demonstrates how AI-based models improve transformer efficiency, reduce failures, and support intelligent decision-making in power systems. Recent advancements show that AI-driven models can accurately forecast transformer conditions and enable predictive maintenance strategies. The proposed methodology combines simulation modeling and AI techniques to analyze the operation of smart power transformers. This approach enables efficient fault detection, predictive maintenance, and intelligent control, making it suitable for modern smart grid applications.
Keywords	simulation modeling and AI techniques
Field	Engineering
Published In	Volume 8, Issue 3, May-June 2026
Published On	2026-05-23

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International Journal For Multidisciplinary Research