Abstract
In this paper, a novel maximum power point tracking (MPPT) for a permanent magnet synchronous generator (PMSG) wind power system is proposed using a fuzzy logic algorithm. The proposed fuzzy logic controller (FLC) adopts a conventional hill climb searching (HCS) method, which is commonly used for extracting the maximum wind power due to its simplicity. The inputs of FLC are derivations of DC output power and DC/DC converter duty cycle step change, and the output of FLC is DC/DC converter duty cycle. The main advantage of the proposed MPPT method is no need to measure wind velocity and generator speed. As such, the control algorithm is independent on turbine characteristics, achieving the fast dynamic responses with non linear fuzzy logic systems. The effectiveness of the proposed MPPT strategy has been verified by simulation and experiment.
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Trinh, QN., Lee, HH. (2010). Fuzzy Logic Controller for Maximum Power Tracking in PMSG-Based Wind Power Systems. In: Huang, DS., Zhang, X., Reyes GarcÃa, C.A., Zhang, L. (eds) Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence. ICIC 2010. Lecture Notes in Computer Science(), vol 6216. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14932-0_68
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DOI: https://doi.org/10.1007/978-3-642-14932-0_68
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