The Study on Power Transformer Design Optimization Using Neural Network System

Improving Efficiency and Cost-effectiveness in Transformer Design using AI and Neural Networks

Abstract

The primary goal of this article to develop software based on AI techniques that could be utilized for the optimal design of distribution transformer. Artificial Intelligence approaches have been widely used to tackle the dynamic task of improving the architecture of the transformer. ANN were used to anticipate the attractive transformer center attributes and center misfortune, which for the most part focused on decreasing iron misfortunes of collected transformers, while cost estimation of transformer was proposed in the plan stage using NN. Developmental programming coupled with neural networks has been studied to improve the nature of wound core transformer conveyance.