Fault Diagnosis for Power System Based on a Special Bayesian Network

被引：0

作者：

Wang Tao ^{[1
]}

Zhu Yi ^{[2
]}

Gao Zhanjun ^{[2
]}

机构：

[1] State Grid China Technol Coll, Jinan, Peoples R China

[2] Shandong Univ, Minist Educ, Key Lab Power Syst Intelligent Dispatch & Control, Jinan, Peoples R China

来源：

TENCON 2015 - 2015 IEEE REGION 10 CONFERENCE | 2015年

关键词：

Bayesian networks; fault diagnosis; fault probability; Noisy-or and Noisy-and nodes model; parameter learning;

D O I：

暂无

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：

To deal with a lot of uncertain information existing in the grid when faulted, this article uses a special Bayesian network-Noisy-or, Noisy-and nodes model to build object-oriented Bayesian networks. An error back propagation algorithm is used to train the Bayesian network so as to update the network's parameters. Finally a case simulation is presented to prove the accuracy and validity of this method for power system fault diagnosis.

引用

页数：6

共 10 条

[1]

Cao Y. H., 2010, INT C E HLTH NETW DI

[2] An Analytic Model for Fault Diagnosis in Power Systems Considering Malfunctions of Protective Relays and Circuit Breakers [J].