DocumentCode
760021
Title
Dispersed generation modeling for object-oriented distribution load flow
Author
Losi, Arturo ; Russo, Mario
Author_Institution
Dipt. di Ingegneria Ind., Univ. degli Studi di Cassino, Italy
Volume
20
Issue
2
fYear
2005
fDate
4/1/2005 12:00:00 AM
Firstpage
1532
Lastpage
1540
Abstract
The interest in dispersed generation (DG) is world-widely increasing. The connection of small generating units affects the operation of distribution systems and classical modeling and analyzing techniques must be revised. Recently, a novel approach to the distribution load-flow problem has been proposed: the object-oriented (OO) paradigm has been applied both to the system modeling and to the Newton-Raphson solving algorithm in the cases of radial and weakly meshed distribution systems. In this paper, the OO load-flow modeling and algorithm are extended to account for the inclusion of DG. The OO paradigm allows easily introducing accurate models of DG interfacing to the network by various electric devices (synchronous generators, induction machines, power electronics converters). Numerical applications are presented to evidence the features of the algorithm evaluating the effects of DG on the operation of two test systems.
Keywords
Newton-Raphson method; distribution networks; load flow; object-oriented methods; power system simulation; Newton-Raphson solving algorithm; dispersed generation modeling; distribution systems; load-flow problem; object-oriented distribution load flow; radial distribution systems; small generating units; weakly meshed distribution systems; Convergence; Induction machines; Load flow; Load modeling; Object oriented modeling; Power electronics; Power generation; Power system modeling; Synchronous generators; System testing; Dispersed generation; load-flow analysis; object-oriented methods; object-oriented programming; power distribution;
fLanguage
English
Journal_Title
Power Delivery, IEEE Transactions on
Publisher
ieee
ISSN
0885-8977
Type
jour
DOI
10.1109/TPWRD.2004.838634
Filename
1413423
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