DocumentCode :
2208120
Title :
An XML data representation model for power system reliability assessment
Author :
Anbalagan ; Malarvizhi ; Ponmagal
Author_Institution :
Dept. of EEE, Anna Univ. Tiruchirappalli, Tiruchirappalli, India
fYear :
2010
fDate :
July 29 2010-Aug. 1 2010
Firstpage :
458
Lastpage :
462
Abstract :
The main objective of this paper is to present an XML-based data representation model for the exchange of power system reliability information among the power system community. Legacy power system applications represent power system data as IEEE common data format, industry standard Common Information Model (CIM) and the huge number of proprietary formats that makes it difficult to exchange the system data. The proposed data conversion model can accept the IEEE reliability test systems (RTS) data as input, and converts it to XML-based format. The exchange of data using XML is validated through XML Schema Document (XSD) and Viewed with the help of XML Style sheet Language (XSL). The generated XML document can be access, navigate, manipulate and update the content by using the Document Object Model (DOM). The proposed data representation model is error-free, adaptable and highly reliable to commonly used integration platforms like Web Services, Service Oriented Architecture (SOA).
Keywords :
XML; power engineering computing; power system reliability; IEEE common data format; IEEE reliability test systems; Web services; XML data representation model; XML schema document; XML style sheet language; common information model; document object model; legacy power system applications; power system data; power system reliability assessment; service oriented architecture; Data models; HTML; Internet; Power system reliability; Reliability; XML; Data representation; Generation capacity reliability assessment; Power System Reliability; Power system data exchange; XML;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial and Information Systems (ICIIS), 2010 International Conference on
Conference_Location :
Mangalore
Print_ISBN :
978-1-4244-6651-1
Type :
conf
DOI :
10.1109/ICIINFS.2010.5578659
Filename :
5578659
Link To Document :
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