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Root Cause Analysis & Predictive Electro-Mechanical Interaction Analysis Algorithm Development for Minimizing Electric Arc Furnace Transformer Degradation | IEEE Conference Publication | IEEE Xplore

Root Cause Analysis & Predictive Electro-Mechanical Interaction Analysis Algorithm Development for Minimizing Electric Arc Furnace Transformer Degradation


Abstract:

Commonly Electric Arc Furnaces are employed in steel mills for heating raw metal to its melting point using an electric arc, and to supply very high rated current usually...Show More

Abstract:

Commonly Electric Arc Furnaces are employed in steel mills for heating raw metal to its melting point using an electric arc, and to supply very high rated current usually in kA (kilo-Ampere) to this electric arc, specially designed transformers are being installed. This high current, electrode unbalanced positions result in fluctuating system load parameters, causing high stress on insulation, high current requirement, very unusual load patterns in the supplying transformer. Here I observing power quality problems in furnace steel plant by modeling visited steel mill system in MATLAB simulation. This paper shows how the position of the electrode will affect on steel mill transformer harmonics. Here, it is used for measuring the current, voltage profile, each harmonic and THD of an electric furnace in loading and unloading of scrap material.
Date of Conference: 29-30 October 2021
Date Added to IEEE Xplore: 21 December 2021
ISBN Information:
Conference Location: Pune, India

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