DocumentCode
2616757
Title
Interpreting GIS data for operation and control of distribution networks
Author
Wang, Zhenyuan ; Julian, Danny E. ; Bass, Martin ; Peterson, William
Author_Institution
ABB Inc. Corp. Res., Raleigh, NC, USA
fYear
2004
fDate
10-13 Oct. 2004
Firstpage
907
Abstract
This paper introduces a software application to interpret geographic features and attributes of a geographical information system (GIS) in such a way that the interpretation can then be used by electric utility distribution network management systems that operate and control the electric utility distribution system. The software application is based on information from a GIS, user-defined rules and mapping relationships to generate data files in an extensible markup language (XML) format. By extracting the geographical data from the GIS, the extracted data can be interpreted using the rules and mapping relationships so that output data can be created which are useful to modern distribution network management systems. The software application provides utilities with a data engineering tool that can be used to update their network management systems from GIS sources.
Keywords
XML; data models; database management systems; energy management systems; geographic information systems; power distribution control; power system analysis computing; GIS; XML; common information model; data files generation; data management; data models; data processing; distribution network control; distribution network management system; distribution network operation; electric utility; energy management system; extensible markup language format; geographic feature interpretation; geographical information system; mapping relationship; software application; user-defined rule; Application software; Control systems; Data engineering; Data mining; Geographic Information Systems; Management information systems; Power industry; Software systems; Software tools; XML;
fLanguage
English
Publisher
ieee
Conference_Titel
Power Systems Conference and Exposition, 2004. IEEE PES
Print_ISBN
0-7803-8718-X
Type
conf
DOI
10.1109/PSCE.2004.1397648
Filename
1397648
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