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    請使用永久網址來引用或連結此文件: http://ir.lib.ncut.edu.tw/handle/987654321/5867


    題名: A High Performance PSO-Based Global MPP Tracker for a PV Power Generation System
    作者: Chao, Kuei-Hsiang
    貢獻者: 圖書館
    關鍵詞: particle swarm optimization (PSO) algorithm
    maximum power point tracking (MPPT)
    photovoltaic module array
    P-V characteristic curves
    日期: 2015
    上傳時間: 2016-10-17
    摘要: 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.
    關聯: Energie
    顯示於類別:[電機工程系(所)] 【電機工程系所】期刊論文

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