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A Novel Global Maximum Power Point Tracking Technique based on Shading Detection for Photovoltaic Strings

    • Xi'an Jiaotong-Liverpool University
    • University of Liverpool

    Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review

    Abstract

    Multiple peaks in power-voltage (P-V) characteristics of photovoltaic (PV) strings under partial shading conditions (PSC) bring challenges to maximum power point tracking (MPPT) techniques for reaching the global maximum power point (GMPP). Early studies have revealed that the locus of the GMPP can be predicted from the shading information, which is the mathematical indicator to express the PSC. In this paper, a novel global maximum power point tracking (GMPPT) method based on the detection of the shading vector is proposed in this paper. The locus of the GMPP is estimated from the peak matrix transformed by shading vector. Simulation results demonstrate that the proposed GMPPT method is capable of tracking the GMPP efficiently under various shading patterns. By comparing with the original \mathbf{0.8\mathbf{V}{\mathbf{OC}}}-model-based MPPT method, the proposed method reduces the tracking step by 75% while maintaining good prediction accuracy.

    Original languageEnglish
    Title of host publicationProceedings - International SoC Design Conference, ISOCC 2020
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    Pages165-166
    Number of pages2
    ISBN (Electronic)9781728183312
    DOIs
    Publication statusPublished - 21 Oct 2020
    Event17th International System-on-Chip Design Conference, ISOCC 2020 - Yeosu, Korea, Republic of
    Duration: 21 Oct 2020 → 24 Oct 2020

    Publication series

    NameProceedings - International SoC Design Conference, ISOCC 2020

    Conference

    Conference17th International System-on-Chip Design Conference, ISOCC 2020
    Country/TerritoryKorea, Republic of
    CityYeosu
    Period21/10/20 → 24/10/20

    Keywords

    • Mathbf{0.8\mathbf{V}{\mathbf{OC}}} model
    • global maximum power point tracking
    • partial shading conditions
    • shading information

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