DocumentCode
1840458
Title
Grid integration studies of a switched reluctance generator for future hardware-in-the-loop experiments
Author
Azongha, S.F. ; Balathandayuthapani, S. ; Edrington, C.S. ; Leonard, J.P.
Author_Institution
Center for Adv. Power Syst., Florida State Univ., Tallahassee, FL, USA
fYear
2010
fDate
7-10 Nov. 2010
Firstpage
3079
Lastpage
3084
Abstract
This paper investigates the generation capabilities of a switched reluctance machine for possible wind power generation applications. The long-term goal is to conduct Power Hardware-in-the-loop (PHIL) simulation using a dSpace-controlled 1kW switched reluctance generator (SRG) available in the lab. In the proposed PHIL simulations, the SRG is controlled to output a constant DC output voltage, which is then fed into a real-time digital simulator (RTDS), amplified, inverted, and integrated with the grid. The inverter and the grid are modeled within the RTDS software platform (RSCAD). Appropriate wind data, also modeled within RTDS is scaled accordingly and fed back into the lab as speed command for the machine. In order to achieve this future goal, a complete simulation study of the system is performed in both Simulink and RSCAD to validate the viability of the proposed method as a precursor to the actual experimental study. This paper presents this study, which includes a mathematical model of the SRG integrated with the grid, and the simulation results.
Keywords
invertors; machine control; power generation control; power grids; power system simulation; reluctance generators; wind power plants; PHIL simulation; RSCAD; RTDS software platform; dSpace-controlled SRG; inverter; power hardware-in-the-loop simulation; real-time digital simulator; switched reluctance generator; switched reluctance machine; wind power generation; Converters; Inductance; Inverters; Mathematical model; Rotors; Torque; Voltage control;
fLanguage
English
Publisher
ieee
Conference_Titel
IECON 2010 - 36th Annual Conference on IEEE Industrial Electronics Society
Conference_Location
Glendale, AZ
ISSN
1553-572X
Print_ISBN
978-1-4244-5225-5
Electronic_ISBN
1553-572X
Type
conf
DOI
10.1109/IECON.2010.5674965
Filename
5674965
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