DocumentCode :
2570928
Title :
Modeling and steady-state analysis of stand-alone switched reluctance generators
Author :
El-Nemr, M.K. ; Al-Khazendar, M.A. ; Rashad, E.M. ; Hassanin, M.A.
Author_Institution :
Dept. of Electr. Power & Machines Eng., Tanta Univ., Egypt
Volume :
3
fYear :
2003
fDate :
13-17 July 2003
Abstract :
This paper presents the modeling and analysis of the switched reluctance generator (SRG) feeding an isolated load. The non-linear magnetization characteristics of the machine have been considered due to its prime importance. The model has been used to analyze the performance characteristics of the generator. The results have been obtained using a software development kit (SDK) specially designed and implemented for switched reluctance machine (SRM) systems. The kit is based on object oriented programming (OOP) technique. It is suitable to investigate the performance of SRM systems for both monitoring and generating modes, steady state and dynamic conditions and different drive circuit topologies. Effects of different operation parameters such as excitation voltage, prime mover speed, switching angles and load resistance have been investigated.
Keywords :
magnetisation; object-oriented programming; power engineering computing; reluctance generators; software engineering; excitation voltage; generating mode; load resistance; monitoring mode; nonlinear magnetization characteristics; object oriented programming; prime mover speed; software development kit; stand-alone generator; steady-state analysis; switched reluctance generators; switched reluctance machine; switching angles; Character generation; Condition monitoring; Magnetic analysis; Magnetization; Object oriented modeling; Object oriented programming; Performance analysis; Reluctance generators; Reluctance machines; Steady-state;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power Engineering Society General Meeting, 2003, IEEE
Print_ISBN :
0-7803-7989-6
Type :
conf
DOI :
10.1109/PES.2003.1267449
Filename :
1267449
Link To Document :
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