Bayesian network model for reliability assessment of power systems

Author

Yu, David C. ; Nguyen, Thanh C. ; Haddawy, Peter

Author_Institution

Dept. of Electr. Eng. & Comput. Sci., Wisconsin Univ., Milwaukee, WI, USA

Volume

14

Issue

2

fYear

1999

fDate

5/1/1999 12:00:00 AM

Firstpage

426

Lastpage

432

Abstract

This paper presents an application of Bayesian networks (BN) to the problem of reliability assessment of power systems. Bayesian networks provide a flexible means of representing and reasoning with probabilistic information. Uncertainty and dependencies are easily incorporated in the analysis. Efficient probabilistic inference algorithms in Bayesian networks permit not only computation of the loss of load probability but also answering various probabilistic queries about the system. The advantages of BN models for power system reliability evaluation are demonstrated through examples. Results of a reliability case study of a multi-area test system are also reported

Keywords

belief networks; load (electric); power system reliability; probability; Bayesian network model; loss of load probability; multi-area test system; power system reliability assessment; probabilistic inference algorithms; probabilistic information; reliability case study; Bayesian methods; Computer network reliability; Network topology; Power system analysis computing; Power system economics; Power system modeling; Power system reliability; Power system simulation; Probability distribution; Uncertainty;

fLanguage

English

Journal_Title

Power Systems, IEEE Transactions on

Publisher

ieee

ISSN

0885-8950

Type

jour

DOI

10.1109/59.761860

Filename

761860