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