Análisis de Confiabilidad de Sistemas Industriales Aplicando Redes Bayesianas Considerando Aspectos de Calidad de la Potencia y Seguridad - Caso de Estudio Sistema IEEE 493 (Reliability Analysis of Industrial Electrical Systems Using Bayesian Networks Considering Power Quality and Security Characteristics Applied to the IEEE 493 Standard Network)

Gustavo Andrés Ramos L. (gramos@uniandes.edu.co)1, Alvaro Torres M. (atorres@concol.com)1, Jean-Pierre Rognon (jean-pierre.rognon@leg.ensieg.inpg.fr)2


1Universidad de los Andes
2Institute National Polytechnique de Grenoble

This paper appears in: Revista IEEE América Latina

Publication Date: Dec. 2007
Volume: 5,   Issue: 8 
ISSN: 1548-0992


Abstract:
The application of power electronics in industrial systems has increased the use of a wide variety of reliability analysis software for commercial and industrial electrical systems. However, there are power quality and security events that are not considered by these tools. This paper describes a methodology for the reliability evaluation of industrial electrical systems using Bayesian networks which incorporates the power quality and security characteristics under events such us short-circuits, random outages and electrical transients. This methodology is applied to the standard network proposed by the IEEE 493 Gold Book to compare the system reliability indices with the ones obtained by others methodologies. This work offers a solid and practical tool for the design of industrial electrical systems

Index Terms:
Availability, Bayes procedures, Industrial power system reliability   


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