An intelligent maximum power point tracking method based on extension theory for PV systems

作者: Kuei-Hsiang Chao , Ching-Ju Li

DOI: 10.1016/J.ESWA.2009.06.068

关键词:

摘要: The purpose of this paper is to propose a novel maximum power point tracking (MPPT) technique fully utilize photovoltaic (PV) array output that depends on solar insolation and ambient temperature. proposed intelligent MPPT algorithm based extension theory can automatically adjust the step size track PV (MPP). Compared with conventional fixed perturbation observation (P&O) incremental conductance (INC) methods, presented approach able effectively improve dynamic response steady-state performance systems simultaneously. Theoretical analysis design principle method are described in detail. Some simulations performed demonstrate effectiveness method.

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