<?xml version="1.0" encoding="UTF-8"?>
<records>
<record>
<language>eng</language>
<publisher>Science and Education Publishing</publisher>
<journalTitle>American Journal of Electrical and Electronic Engineering</journalTitle>
<eissn>2328-7357</eissn>
<publicationDate>2019-07-24</publicationDate>
<volume>7</volume>
<issue>2</issue>
<startPage>38</startPage>
<endPage>41</endPage>
<doi>10.12691/ajeee-7-2-3</doi>
<publisherRecordId>AJEEE2019723</publisherRecordId>
<documentType>article</documentType>
<title language="eng">A Modeling Method of Power System Based on Brittleness Factor and Brittleness Correlation Factor</title>
<authors>
<author>
<name>Xiao Lyu</name>
<email>nnulvxiao@126.com</email>
<affiliationId>1</affiliationId>
</author>
<author>
<name>Dan Lyu</name>
<affiliationId>1</affiliationId>
</author>
<author>
<name>Yuge Yang</name>
<affiliationId>1</affiliationId>
</author>

</authors>
<affiliationsList>
<affiliationName affiliationId="1">School of Electrical &amp; Automation Engineering, Nanjing Normal University, Nanjing, China</affiliationName>


</affiliationsList>
<abstract language="eng">The power system is a complex nonlinear system composed of many dynamic components that interact with each other. Failure of any component in the system will have varying degrees of effects on the entire system. From the perspective of the fragility of complex systems, the brittleness factor model and brittleness correlation factor model of power systems are established in this paper, and a method to determine the brittleness chain of power network is proposed. The experimental results show that the model can realize the identification of the component failure of the potential excitation system and prevent effectively the occurrence of cascading failure, and verify the accuracy and validity of the model.</abstract>
<fullTextUrl format="pdf">http://pubs.sciepub.com/ajeee/7/2/3/ajeee-7-2-3.pdf</fullTextUrl>
<keywords language="eng"><keyword>power systems</keyword>
<keyword>system brittleness</keyword>
<keyword>brittle correlation factor</keyword>
<keyword>brittleness factor</keyword>
</keywords>
</record>
</records>
