Forced Outage Cause Identification Based on Bayesian Networks

Abstract

The advances in area of information technology and applications, specially mobile and wireless technology, are providing conditions to improve data acquisition to be used in power system analysis. These conditions together with computational intelligence methods help provide an improvement in reliability analysis of distribution systems. This paper presents the development of a computational systems using mobile computing and a methodology based on Bayesian Networks to identify forced outage causes. The proposed system was validated using data collection of Brazilian distribution utility.