Computational model to determine the optimum level of chargeability of the power transformers of the national interconnected system

Main Article Content

Juan Rodríguez
Víctor Orejuela

Abstract

This document outlines the process of development and implementation of a computational model to determine the optimal level chargeability power transformers National Interconnected System of Ecuador. Thanks to the tools of software platforms that allow constructing mathematical models to make predictions and optimize the behavior of complex systems, it is possible to develop a computational model that encompasses all technical aspects indicated and documented in the ANSI and IEC, to determine the parameters affecting the chargeability of power transformers and the impact this has on the life of transformers. Under these parameters the computational model, determine a solution, both from a technical standpoint, and economically, and that in developing this model based on the technical development - economic, determining the optimal chargeability transformers, and establishes a projected life of the power transformer within the power grid.

Article Details

Section
Scientific Paper
Author Biographies

Juan Rodríguez

Estudiante de Ingeniería Eléctrica de la Universidad Politécnica Salesiana Sede Quito – Campus Kennedy.

Víctor Orejuela

Máster en Educación, Especialista en Seguridad y Desarrollo, Ingeniero eléctrico, Docente-Investigador de Ingeniería Eléctrica de la Universidad Politécnica Salesiana Quito – Campus Kennedy.

References

CONELEC, “Plan maestro de electrificación – 2012,” 2012.

L. L. Grigsby, Electric Power Generation Transmission and Distribution, 3rd ed., ser. The Electric Power Engineering Handbook. Taylor & Francis, 2012.

K. Najdenkoski, G. Rafajlovski, and V. Dimcev, “Thermal aging of distribution transformers according to ieee and iec standards,” in Power Engineering Society General Meeting, 2007. IEEE. IEEE, 2007, pp. 1–5.

I. 60076-7, Loading guide for Oil – immersed Power Transformers, Std., 2005.

L. Pierce, “Predicting liquid filled transformer loading capability,” IEEE Transactions on Industry Applications, vol. 30, no. 1, pp. 170–178, 1994.

ANSI/IEEE, Distribution, power and regulating transformers, Std., 1994.

F. J. Yébenes Cabrejas, “Gestión de la cargabilidad de transformadores de potencia,” Proyecto de fin de carrera, Universidad Carlos III de Madrid, Madrid, España, 2009.

“IEEE guide for determination of maximum winding temperature rise in liquid-filled transformers,” IEEE Std 1538-2000, 2000.

P. Code, International Standard IEC 60076-7, Std.

O. Ramírez and S. Fernández, “Introducción de un modelo térmico para el diagnóstico en tiempo real de transformadores,” La Habana, Cuba, 2000.

D. Kalluri, Electromagnetic Waves, Materials, and Computation With MATLAB. Taylor & Francis, 2011.

W. Tang, Q. Wu, and Z. Richardson, “A simplified transformer thermal model based on thermalelectric analogy,” IEEE Transactions on Power Delivery, vol. 19, no. 3, pp. 1112–1119, 2004.

B. Lesieutre, W. Hagman, and J. Kirtley, J.L., “An improved transformer top oil temperature model for use in an on-line monitoring and diagnostic system,” IEEE Transactions on Power Delivery, vol. 12, no. 1, pp. 249–256, 1997.

T. Shamsodin, G. Ahmad, F. Issouf, and T. Hamed, “Modeling and simulation of transformer loading capability and hot spot temperature under harmonic conditions„” Electric Power Systems Research, vol. 86, pp. 68–75, May 2012.

IEC-61378-1, Transformers for industrial applications, Std., 1997.

D. J. Tylavsky, Q. He, J. Si, G. A. McCulla, and J. R. Hunt, “Transformer top-oil temperature modeling and simulation,” IEEE Transactions on Industry Applications, vol. 36, no. 5, pp. 1219– 1225, 2000.

A. Emanuel and X. Wang, “Estimation of loss of life of power transformers supplying nonlinear loads,” IEEE Transactions on Power Apparatus and Systems, vol. PAS-104, no. 3, pp. 628–636, 1985.

L. Pierce, “Predicting liquid filled transformer loading capability,” in Petroleum and Chemical Industry Conference, 1992, Record of Conference Papers., Industry Applications Society 39th Annual, 1992, pp. 197–207.

Y.-C. Huang, H.-T. Yang, and C.-L. Huang, “Developing a new transformer fault diagnosis system through evolutionary fuzzy logic,” IEEE Transactions on Power Delivery, vol. 12, no. 2, pp. 761–767, 1997.

O. Gouda, G. Amer, and W. Salem, “Predicting transformer temperature rise and loss of life in the presence of harmonic load currents,” Ain Shams Engineering Journal, vol. 3, no. 2, pp. 113–121, 201