 Intelligent approach to maximum power point tracking control strategy for variable-speed wind turbine generation systemWhei-Min Lin and Chih-Ming Hong Energy, 2010, vol. 35, issue 6, 2440-2447 Abstract: To achieve maximum power point tracking (MPPT) for wind power generation systems, the rotational speed of wind turbines should be adjusted in real time according to wind speed. In this paper, a Wilcoxon radial basis function network (WRBFN) with hill-climb searching (HCS) MPPT strategy is proposed for a permanent magnet synchronous generator (PMSG) with a variable-speed wind turbine. A high-performance online training WRBFN using a back-propagation learning algorithm with modified particle swarm optimization (MPSO) regulating controller is designed for a PMSG. The MPSO is adopted in this study to adapt to the learning rates in the back-propagation process of the WRBFN to improve the learning capability. The MPPT strategy locates the system operation points along the maximum power curves based on the dc-link voltage of the inverter, thus avoiding the generator speed detection. Keywords: Wilcoxon radial basis function network; Modified particle swarm optimization; Permanent magnet synchronous generator; Maximum power point tracking; Hill-climb searching (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:35:y:2010:i:6:p:2440-2447 DOI: 10.1016/j.energy.2010.02.033 Access Statistics for this article Energy is currently edited by Henrik Lund and Mark J. Kaiser More articles in Energy from Elsevier |
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