勤益科大機構典藏:Item 987654321/5867
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    Please use this identifier to cite or link to this item: http://ir.lib.ncut.edu.tw/handle/987654321/5867


    Title: A High Performance PSO-Based Global MPP Tracker for a PV Power Generation System
    Authors: Chao, Kuei-Hsiang
    Contributors: 圖書館
    Keywords: particle swarm optimization (PSO) algorithm
    maximum power point tracking (MPPT)
    photovoltaic module array
    P-V characteristic curves
    Date: 2015
    Issue Date: 2016-10-17
    Abstract: This paper aims to present an improved version of a typical particle swarm optimization (PSO) algorithm, such that the global maximum power point (MPP) on a P-V characteristic curve with multiple peaks can be located in an efficient and precise manner for a photovoltaic module array. A series of instrumental measurements are conducted on variously configured arrays built with SANYO HIP2717 PV modules, either unshaded, partially shaded, or malfunctioning, as the building blocks. There appear two, triple and quadruple peaks on the corresponding P-V characteristic curves. Subsequently, the tracking performance comparisons, made by some practical experiments, indicate the superiority of this improved MPP tracking algorithm over the typical one.
    Relation: Energie
    Appears in Collections:[Department of Electrical Engineering] 【電機工程系所】期刊論文

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