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Design and performance evaluation of a fuzzy-logic-based variable-speed wind generation system
Abstract
Artificial intelligence techniques, such as fuzzy logic, neural networks and genetic algorithms, have recently shown promise in the application of power electronic systems. The paper describes the control strategy development, design and experimental performance evaluation of a fuzzy logic-based variable-speed wind generation system that uses a cage-type induction generator and double-sided PWM power converters. The system can feed a utility grid maintaining unity power factor at all conditions or can supply an autonomous load. The fuzzy logic-based control of the system helps to optimize efficiency and enhance performance. A complete 3.5 kW generation system has been developed, designed and thoroughly evaluated by laboratory tests in order to validate the predicted performance improvements. The system gives excellent performance and can easily be translated to a larger size in the field.
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Cited by
An Overview of Artificial Intelligence Applications for Power Electronics
Zhao, S., Blaabjerg, F., & Wang, H. (2021) · IEEE Transactions on Power Electronics · doi:10.1109/tpel.2020.3024914 · Cited by 947
FPGA Design Methodology for Industrial Control Systems—A Review
Monmasson, E., & Cirstea, M. N. (2007) · IEEE Transactions on Industrial Electronics · doi:10.1109/tie.2007.898281 · Cited by 908
A review of maximum power point tracking algorithms for wind energy systems
Abdullah, M. A., Yatim, A. H. M., Tan, C. W., & Saidur, R. (2012) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2012.02.016 · Cited by 770
Wang, Q., & Chang, L. (2004) · IEEE Transactions on Power Electronics · doi:10.1109/tpel.2004.833459 · Cited by 555
Power Electronics and Motor Drives Recent Progress and Perspective
Bose, B. K. (2009) · IEEE Transactions on Industrial Electronics · doi:10.1109/tie.2008.2002726 · Cited by 431
Self-citation
Metadata
- Authors
- Simoes, M. G., Bose, B. K., & Spiegel, R. J.
- Venue
- IEEE Transactions on Industry Applications
- Published
- 1997
- Volume
- 33
- Issue
- 4
- Pages
- 956-965
- ISSN
- 0093-9994 (ISSN-L)
- OpenAlex
- W2118352943
- Cited by
- 301
- References
- 0
- FWCI
- 1.01
- Type
- journal article
- Language
- en
- Open access
- closed
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- Simoes, M. G., Bose, B. K., & Spiegel, R. J. (1997). Design and performance evaluation of a fuzzy-logic-based variable-speed wind generation system. IEEE Transactions on Industry Applications. https://doi.org/10.1109/28.605737
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