Forced Outage Cause Identification Based on Bayesian Networks

Author

Tronchoni, A.B. ; Pretto, C.O. ; Licks, V. ; Rosa, M.A. ; Lemos, F.A.B.

Author_Institution

Electr. Energy Syst. Group, Pontifical Catholic Univ. of Rio Grande do Sul, Rio Grande

fYear

2007

Firstpage

1599

Lastpage

1604

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.

Keywords

belief networks; data acquisition; fault diagnosis; mobile computing; power distribution faults; power distribution reliability; power system analysis computing; Bayesian networks; Brazilian distribution utility; computational intelligence methods; data acquisition; distribution systems; forced outage cause identification; mobile computing; power system analysis; reliability analysis; Bayesian methods; Computer networks; Data acquisition; IEEE members; Information technology; Mobile computing; Personal digital assistants; Power system analysis computing; Power system reliability; Resource management; Bayesian networks; mobile computing; outage; personal digital assistant (PDA); reliability;

fLanguage

English

Publisher

ieee

Conference_Titel

Power Tech, 2007 IEEE Lausanne

Conference_Location

Lausanne

Print_ISBN

978-1-4244-2189-3

Electronic_ISBN

978-1-4244-2190-9

Type

conf

DOI

10.1109/PCT.2007.4538554

Filename

4538554