Suzhou Electric Appliance Research Institute
期刊号: CN32-1800/TM| ISSN1007-3175

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基于贝叶斯网络的牵引变电所主接线可靠性评估

来源:电工电气发布时间:2016-03-15 16:15 浏览次数:593

基于贝叶斯网络的牵引变电所主接线可靠性评估 

尹维恒,解绍锋,陈民武,梁泽川,邓大磊 
西南交通大学 电气工程学院,四川 成都 610031 
 

摘 要:贝叶斯网络是研究不确定性问题的重要方法之一,把贝叶斯网络法用到牵引变电所的可靠性评估中,结合牵引变电所电气主接线的故障树和最小路来建立贝叶斯网络。通过故障树的贝叶斯网络计算了其可靠性指标,能够有效地识别系统的薄弱环节,实现了牵引变电所可靠性的定性和定量评估。用基于最小路的贝叶斯网络对上面的可靠性指标进行了验证,为牵引变电所可靠性评估提供了新的方法。
关键词:贝叶斯网络;牵引变电所;可靠性评估;故障树;最小路
中图分类号:TM922.4 文献标识码:A 文章编号:1007-3175(2013)08-0029-05


Reliability Assessment of Main Electric Connection of Traction Substation Based on Bayesian Network 

YIN Wei-heng, XIE Shao-feng, CHEN Min-wu, LIANG Ze-chuan, DENG Da-lei 
School of Electrical Engineering, Southwest Jiaotong University, Chengdu 610031, China 
 

Abstract: Bayesian network (BN) is one of the most effective tools to study uncertain problems. This paper used BN method to evaluate the reliability of traction substation. The fault tree and the minimal path of main electric connection of traction substation were combined to build Bayesian network. This paper calculated its reliability index through Bayesian network of the fault tree, which could effectively identify the weakness of the system, to realize the qualitative and quantitative assessment of reliability in traction substation. The mentioned reliability index above is verified by Bayesian networks based on the minimal path, which provides a new method for the assessment of traction substation reliability.
Key words: Bayesian network; traction substation; reliability assessment; fault tree; minimal path


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