Bayesian Networks Utilization for Reliability Evaluation of Power Systems

被引：0
|
作者：
Ciobanu, Alexandra [1 ]
Munteanu, F. [1 ]
Nemes, C. [1 ]
机构：
[1] Gheorghe Asachi Tech Univ, Dept Power Engn, Iasi, Romania
来源：
PROCEEDINGS OF THE 2016 INTERNATIONAL CONFERENCE AND EXPOSITION ON ELECTRICAL AND POWER ENGINEERING (EPE 2016) | 2016年
关键词：
conditional probability theorem; Bayesian networks; reliability; power networks; nodal architectures; MODELS;
D O I：
暂无
中图分类号：
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号：
0807 ; 0820 ;
摘要：
Bayesian networks proved to be a useful tool in power engineering for: availability and reliability studies, power quality analysis, risk evaluation, components monitoring and fault diagnosis. The paper is dedicated to reliability analysis of power systems and authors present details how the method based on Bayes' theorem of conditional probability can be used for reliability evaluation of different architectures of power system nodes and electricity supply chains. The RBD -reliability block diagram, cut-sets or tie-sets methods and event tree or failure tree techniques can be used to construct Bayesian networks based on corresponding real systems.
引用
收藏
页码：837 / 841
页数：5
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