Evaluation of Components Reliability Importance Measures of Electric Transmission Systems Using the Bayesian Network

被引：11
|
作者：
Daemi, T. [1 ]
Ebrahimi, A. [1 ]
机构：
[1] Isfahan Univ Technol, Elect & Comp Engn Dept, Esfahan 8415683111, Iran
来源：
ELECTRIC POWER COMPONENTS AND SYSTEMS | 2012年 / 40卷 / 12期
关键词：
Bayesian network; component reliability importance measure; transmission system;
D O I：
10.1080/15325008.2012.694973
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
In this article, a novel approach is presented for the determination of reliability importance measures in electric transmission systems implementing the Bayesian network. By this method, the Bayesian network associated with a given power system is first constructed where the generation units are assumed fully reliable and the required training data is provided by using the state sampling method of Monte Carlo simulation. When the Bayesian network is constructed, it is readily used to determine the various reliability importance measures and to investigate their physical interpretations for the proposed transmission system.
引用
收藏
页码：1377 / 1389
页数：13
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