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Controlled Switching for Transformer Overvoltage Reduction by Kristijan is a document available to read on EtoBox.

This paper presents a novel approach to reduce harmonic overvoltages during transformer energization through controlled switching, utilizing a harmonic index to determine optimal switching times. An Artificial Neural Network (ANN) is proposed to estimate these switching angles in real-time applications, improving the efficiency of power system restoration following blackouts. The effectiveness of the method is demonstrated through case studies, showing significant reductions in overvoltages during transform

Author
Kristijan
Language
EN