A bayesian network approach for fault-section estimation

被引：0

作者：

Zhou, Shu ^{[1
]}

Wang, Xiaoru ^{[1
]}

Qian, Qingquan ^{[1
]}

机构：

[1] SW Jiaotong Univ, Sch Elect Engn, Chengdu 610031, Peoples R China

来源：

PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEMS AND KNOWLEDGE ENGINEERING (ISKE 2007) | 2007年

关键词：

fault section estimation; Bayesian network; power systems;

D O I：

10.2991/iske.2007.237

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Changes of the network topology of a power system, which are determined by a sequence of operations of breakers, will influence the relationships between relays and protected sections. Further more, the complexity of power systems and the uncertainty of all kinds of information make the relations between faults and information more complicated and the fault-section estimation problem more difficult. In this paper, the causal relationships among protected sections, relays and breakers are analyzed by using the operation information of relays and breakers. A simple fault-section estimation model based on Bayesian network for power systems is proposed.

引用

页数：1

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