A Newton-Based Extremum Seeking MPPT Method for Photovoltaic Systems with Stochastic Perturbations

    Authors

    Int. J. Photoenergy

    Comments

    Authors: contact us about adding a copy of your work at STARS@ucf.edu

    Abbreviated Journal Title

    Sci. Adv. Mater.

    Keywords

    POWER POINT TRACKING; ALGORITHMS; MODULES; Chemistry, Physical; Energy & Fuels; Optics; Physics, Atomic, Molecular; & Chemical

    Abstract

    Microcontroller based maximum power point tracking (MPPT) has been the most popular MPPT approach in photovoltaic systems due to its high flexibility and efficiency in different photovoltaic systems. It is well known that PV systems typically operate under a range of uncertain environmental parameters and disturbances, which implies that MPPT controllers generally suffer from some unknown stochastic perturbations. To address this issue, a novel Newton-based stochastic extremum seeking MPPT method is proposed. Treating stochastic perturbations as excitation signals, the proposed MPPT controller has a good tolerance of stochastic perturbations in nature. Different from conventional gradient-based extremum seeking MPPT algorithm, the convergence rate of the proposed controller can be totally user-assignable rather than determined by unknown power map. The stability and convergence of the proposed controller are rigorously proved. We further discuss the effects of partial shading and PV module ageing on the proposed controller. Numerical simulations and experiments are conducted to show the effectiveness of the proposed MPPT algorithm.

    Subjects

    H. Li; J. Peng; W. R. Liu; Z. W. Huang;K. C. Lin

    Publication Date

    1-1-2014

    Document Type

    Article

    Language

    English

    First Page

    13

    WOS Identifier

    WOS:000340190500001

    ISSN

    1110-662X

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