Abstract
This paper proposes an adaptive maximum wind power extraction algorithm for variable speed wind power generation systems. The proposed control algorithm is analyzed with the air density effects on the maximum power point tracking (MPPT) method, which is based on the conventional hill climb searching (HCS). To implement this algorithm, the memory features and the initial tip speed ratio (TSR) are taken into account. The control scheme is performed in three separate operation steps according to the power curve of a generator to improve the tracking performance. The feasibility and effectiveness of the proposed MPPT strategy have been verified through simulations and experimental results.
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Hong, MK., Lee, HH. (2010). Adaptive Maximum Power Point Tracking Algorithm for Variable Speed Wind Power Systems . In: Li, K., Fei, M., Jia, L., Irwin, G.W. (eds) Life System Modeling and Intelligent Computing. ICSEE LSMS 2010 2010. Lecture Notes in Computer Science, vol 6328. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15621-2_42
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DOI: https://doi.org/10.1007/978-3-642-15621-2_42
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-15620-5
Online ISBN: 978-3-642-15621-2
eBook Packages: Computer ScienceComputer Science (R0)