A Wireless OFDM Control System of SCIG for Applications in Smart Grids Jointly Employing Convolutional Coding and FWMA Filtering

In this paper, a new power control system for wind turbines based on a squirrel cage induction generator linked to the mains by means of a back-to-back converter for smart grid applications is proposed. The wireless system employs orthogonal frequency division multiplexing, convolutional coding, and...

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Bibliographic Details
Published in:Journal of control, automation & electrical systems automation & electrical systems, 2019-06, Vol.30 (3), p.360-370
Main Authors: Sguarezi Filho, A. J., Solís-Chaves, J. S., de Almeida, L. A. L., Costa, Fabiano F., Casella, I. R. S., Capovilla, C. E.
Format: Article
Language:English
Subjects:
Ancillary services
Coding
Control
Control and Systems Theory
Control systems
Converters
Electrical Engineering
Energy management
Engineering
Filtration
Harmonic distortion
Induction generators
Mechatronics
Orthogonal Frequency Division Multiplexing
Power control
Reactive power
Robotics
Robotics and Automation
Smart grid
Squirrel cage motors
Wind turbines
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Summary:In this paper, a new power control system for wind turbines based on a squirrel cage induction generator linked to the mains by means of a back-to-back converter for smart grid applications is proposed. The wireless system employs orthogonal frequency division multiplexing, convolutional coding, and functionally weighted moving average filtering to improve the system performance against the errors due to the propagation channel in the transmitted power references. Hence, the system avoids damages in turbines and converters and also increases the power quality of the power injected into the grid. Hence, the reactive power injection can be helpful in ancillary services. The system was analyzed regarding the total harmonic distortion for SCIGs’ currents and the system response to verifying the delivered power quality by the generator to the mains. The simulated results validate the proposed wireless-coded control system.
ISSN:2195-3880
2195-3899
DOI:10.1007/s40313-019-00452-3