Reliability Analysis of Industrial Electrical Systems Using Bayesian Networks Considering Power Quality and Security Characteristics Applied to the IEEE 493 Standard Network

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