三峡大学学报（自然科学版）2018，Vol.40Issue(2)：72-77,6.DOI:10.13393/j.cnki.issn.1672-948X.2018.02.015
改进贝叶斯算法在配网故障诊断中的研究
Research on Improved Bayesian Algorithm in Fault Diagnosis of Distribution Network
摘要
Abstract
For the large amount of uncertain information in the fault diagnosis of smart grid,the Bayesian network fault diagnosis methods are studied.Based on the original Noisy-or,Noisy-and node models and fault diagnosis models of power lines,buses and transformers have been established.The improved Bayesian algo-rithm is proposed to improve the traditional Bayesian algorithm.It can be concluded that the improved algo-rithm has the advantages of higher sensitivity and less error probability in the fault diagnosis,and can con-struct the Bayesian classification of the minimum error probability by comparing with the traditional algo-rithm.And it will have a good application prospect in the actual power system fault diagnosis.In addition,the results can be displayed by graphical user interface(GUI)to facilitate the operator to make rapid decisions, which would provide practical help for power system operators.关键词
改进贝叶斯算法/故障诊断/图形用户界面Key words
improved Bayesian algorithm/fault diagnosis/graphical user interface(GUI)分类
信息技术与安全科学引用本文复制引用
朱蕾,杨毅..改进贝叶斯算法在配网故障诊断中的研究[J].三峡大学学报（自然科学版）,2018,40(2):72-77,6.基金项目
国家自然科学青年基金项目(61602251) （61602251）
