Title :
CIM extensions to electrical distribution and CIM XML for the IEEE radial test feeders
Author :
Wang, Xiaofeng ; Schulz, Noel N. ; Neumann, Scott
Author_Institution :
GE Network Solutions, Melbourne, FL, USA
Abstract :
The electric power utility is an extremely large enterprise and has many computer systems and applications to complete both business and engineering functions. An efficient information exchanging and sharing infrastructure is key to the success of an electric utility. To facilitate the integration, a common data model is needed as a common language by which systems and applications can talk with each other. This research focuses on creating a common data model for the electrical distribution. It extends the CIM to electrical distribution for the data requirements by the distribution power flow and proposes modified models for distribution lines, distribution loads, and some specific distribution devices. It converts the IEEE radial test feeders to distribution CIM-based XML documents and provides an initial reference model for the electric distribution data in CIM XML format. These CIM XML documents have been tested and reviewed by industrial contacts. More tests are encouraged to check the interoperability of the proposed model and created CIM XML documents of the IEEE radial test feeders.
Keywords :
distribution networks; hypermedia markup languages; object-oriented methods; power system analysis computing; CIM XML; CIM extensions; DMS; IEEE radial test feeders; common data model; common information model; data requirements; distribution devices; distribution loads; distribution management system; distribution power flow; electric distribution data; electric power utility; electrical distribution; extensible markup language; industrial contacts; information exchange; initial reference model; interoperability; object-oriented data modeling; Application software; Computer applications; Computer integrated manufacturing; Data models; Load flow; Power engineering and energy; Power engineering computing; Power industry; Testing; XML;
Journal_Title :
Power Systems, IEEE Transactions on
DOI :
10.1109/TPWRS.2003.814857