Design of Computational Experiment for Performance Optimization of a Switched Reluctance Generator in Wind Systems

This paper presents as a new contribution a proposal to optimize the performance of a switched reluctance generator (SRG) in a variable wind energy conversion system. An approach based on the design of computational experiment is applied to determinate the optimal firing angles and the optimal dc li...

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Bibliographic Details
Published in:IEEE transactions on energy conversion 2018-03, Vol.33 (1), p.406-419
Main Authors: dos Santos Neto, Pedro Jose, dos Santos Barros, Tarcio Andre, de Paula, Marcelo Vinicius, Rodrigues de Souza, Ramon, Filho, Ernesto Ruppert
Format: Article
Language:English
Subjects:
Computational modeling
Computer simulation
Data simulation
design of computational experiments
Design optimization
direct power controls
Energy conversion
Firing angle
Magnetic hysteresis
multiobjective optimization
Multiple objective analysis
Optimization
Power control
Reluctance
Rotor speed
Rotors
Switched reluctance generators
Switches
Torque
Voltage control
wind energy
Wind power
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Summary:This paper presents as a new contribution a proposal to optimize the performance of a switched reluctance generator (SRG) in a variable wind energy conversion system. An approach based on the design of computational experiment is applied to determinate the optimal firing angles and the optimal dc link voltage that guarantee the best system behavior for each rotor speed. A third-order response surface model based on space-filling designs is applied to build a multiobjective function considering efficiency improvement and torque ripple reduction. An interior point method is applied to find the minimum of the surface, optimizing the process. Direct power control is used to obtain the maximum power as a function of the rotor speed, employing the optimal parameters. Hysteresis and single-pulse current control are applied for low- and high-speed operation, respectively. Simulation and experimental results have shown that the proposed approach returned a good compromise between SRG high efficiency and low torque ripple. Moreover, the presented technique reduces computational effort and provides a clear massive data simulation framework.
ISSN:0885-8969
1558-0059
DOI:10.1109/TEC.2017.2755590