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Dynamic estimation of electrical demand in hot rolling mills

Autor(es) y otros:
Alonso Orcajo, Gonzalo ArturoAutoridad Uniovi; Rodríguez Díez, Josué; Ardura García, PabloAutoridad Uniovi; Cano Rodríguez, José ManuelAutoridad Uniovi; González Norniella, JoaquínAutoridad Uniovi; Llera Traviesa, RocíoAutoridad Uniovi; Cifrián Riesgo, Diego
Palabra(s) clave:

Electrical demand

Finishing mill

Hot rolling mill

Power system harmonics

Fecha de publicación:
2016
Editorial:

IEEE

Versión del editor:
http://dx.doi.org/10.1109/TIA.2016.2533483
Citación:
IEEE Transactions on Industry Applications (2016); doi:10.1109/TIA.2016.2533483
Resumen:

This paper proposes a method capable of reproducing the particular operating conditions of a hot strip mill and predicting the evolution of the main electrical variables from both the characteristics of the steel to be milled and the specific features of the rolling mill. The method analyzes the load torque and the motor speed evolution in the stands of the roughing and finishing mill drives, according to the steel to be milled. In this study three types of carbon alloy steel are considered, thus involving dissimilar hardness characteristics. The main stands of the mill, the power network and the filter banks have been modeled. The relationship between the grade of steel and both the electrical demand and various power quality parameters is discussed. The results can be used as a part of an expert system for the automatic estimation of the electrical demand in a hot rolling mill

This paper proposes a method capable of reproducing the particular operating conditions of a hot strip mill and predicting the evolution of the main electrical variables from both the characteristics of the steel to be milled and the specific features of the rolling mill. The method analyzes the load torque and the motor speed evolution in the stands of the roughing and finishing mill drives, according to the steel to be milled. In this study three types of carbon alloy steel are considered, thus involving dissimilar hardness characteristics. The main stands of the mill, the power network and the filter banks have been modeled. The relationship between the grade of steel and both the electrical demand and various power quality parameters is discussed. The results can be used as a part of an expert system for the automatic estimation of the electrical demand in a hot rolling mill

URI:
http://hdl.handle.net/10651/36747
ISSN:
0093-9994
DOI:
10.1109/TIA.2016.2533483
Colecciones
  • Artículos [37543]
  • Ingeniería Eléctrica, Electrónica, de Comunicaciones y de Sistemas [1086]
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