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Design of a maximum power tracking system for wind-energy-conversion applications
Abstract
A wind-generator (WG) maximum-power-point-tracking (MPPT) system is presented, consisting of a high-efficiency buck-type dc/dc converter and a microcontroller-based control unit running the MPPT function. The advantages of the proposed MPPT method are that no knowledge of the WG optimal power characteristic or measurement of the wind speed is required and the WG operates at a variable speed. Thus, the system features higher reliability, lower complexity and cost, and less mechanical stress of the WG. Experimental results of the proposed system indicate near-optimal WG output power, increased by 11%-50% compared to a WG directly connected via a rectifier to the battery bank. Thus, better exploitation of the available wind energy is achieved, especially under low wind speeds.
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Cited by
High-power wind energy conversion systems: State-of-the-art and emerging technologies
Yaramasu, V., Wu, B., Sen, P. C., Kouro, S., & Narimani, M. (2015) · Proceedings of the IEEE · doi:10.1109/jproc.2014.2378692 · Cited by 991
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
Reliability Issues in Photovoltaic Power Processing Systems
Petrone, G., Spagnuolo, G., Teodorescu, R., Veerachary, M., & Vitelli, M. (2008) · IEEE Transactions on Industrial Electronics · doi:10.1109/tie.2008.924016 · Cited by 579
Wind Turbine Power Coefficient Analysis of a New Maximum Power Point Tracking Technique
Xia, Y., Ahmed, K. H., & Williams, B. W. (2013) · IEEE Transactions on Industrial Electronics · doi:10.1109/tie.2012.2206332 · Cited by 256
Wei, C., Zhang, Z., Qiao, W., & Qu, L. (2015) · IEEE Transactions on Industrial Electronics · doi:10.1109/tie.2015.2420792 · Cited by 178
Metadata
- Authors
- Koutroulis, E., & Kalaitzakis, K.
- Venue
- IEEE Transactions on Industrial Electronics
- Published
- 2006-04
- Volume
- 53
- Issue
- 2
- Pages
- 486-494
- ISSN
- 0278-0046 (ISSN-L)
- OpenAlex
- W2100248299
- Cited by
- 921
- References
- 0
- FWCI
- 28.34
- Type
- journal article
- Language
- en
- Open access
- closed
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- Koutroulis, E., & Kalaitzakis, K. (2006). Design of a maximum power tracking system for wind-energy-conversion applications. IEEE Transactions on Industrial Electronics. https://doi.org/10.1109/tie.2006.870658
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
