A novel method for constructing the Bayesian Network for detailed reliability assessment of Power Systems

Author

Ebrahimi, Akbar ; Daemi, Tahereh

Author_Institution

Dept. of Electr. & Comput. Eng., Isfahan Univ. of Technol., Isfahan, Iran

fYear

2009

fDate

10-12 Nov. 2009

Firstpage

1

Lastpage

6

Abstract

In this paper, a novel approach is presented for constructing the Bayesian Network (BN) that can be used in detailed reliability assessments of a power system based on the loss of load probability (LOLP). This method, which is applicable to large and complex power systems, is based on the learning capability of BN from data. In order to obtain training data, state sampling method of the Monte Carlo Simulation is used. The proposed method is applied to two test systems and various analyses are performed showing its efficiency and validity.

Keywords

Monte Carlo methods; belief networks; power system reliability; Bayesian network; Monte Carlo simulation; complex power systems; loss of load probability; reliability assessment; state sampling method; Bayesian methods; Computer network reliability; Inference algorithms; Power system analysis computing; Power system modeling; Power system planning; Power system reliability; Power system simulation; System testing; Training data; Bayesian Network; Power System; Reliability;

fLanguage

English

Publisher

ieee

Conference_Titel

Electric Power and Energy Conversion Systems, 2009. EPECS '09. International Conference on

Conference_Location

Sharjah

Print_ISBN

978-1-4244-5477-8

Type

conf

Filename

5415698