English  |  正體中文  |  简体中文  |  全文筆數/總筆數 : 2928/5721 (51%)
造訪人次 : 373241      線上人數 : 105
RC Version 6.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
搜尋範圍 查詢小技巧:
  • 您可在西文檢索詞彙前後加上"雙引號",以獲取較精準的檢索結果
  • 若欲以作者姓名搜尋,建議至進階搜尋限定作者欄位,可獲得較完整資料
  • 進階搜尋


    請使用永久網址來引用或連結此文件: http://ir.lib.ncut.edu.tw/handle/987654321/5868


    題名: Improved Particle Swarm Optimization for Maximum Power Point Tracking in Photovoltaic Module Arrays
    作者: Kuei-Hsiang Chao, Yu-Sheng Lin, Uei-Dar Lai
    貢獻者: 圖書館
    關鍵詞: Maximum power point tracking
    Particle swarm optimization
    Partial module shading
    Module failure
    日期: 2015-11-15
    上傳時間: 2016-10-17
    摘要: n this paper, a maximum power point tracking (MPPT) method that incorporated shading and failure conditions in photovoltaic (PV) module arrays is developed. This MPPT method was built using improved particle swarm optimization (PSO). The PSO algorithm enables PV module arrays to perform MPPT for multi-peak power–voltage (P–V) output characteristic curves when shading or failures occur. This facilitates the tracking of actual maximum power points in PV module arrays. The HIP 2717 PV module produced by SANYO Electric Co., Ltd. was used in this study to assemble various array configurations. The characteristic curves of these array configurations when partial module shading or failure occurred were investigated. Numerous working conditions were selected for dual-peak, three-peak, and four-peak characteristics. PIC microcontrollers were then used to apply both the traditional and the proposed PSO algorithms to enable MPPT. A comparison of the measurement results showed that the proposed PSO algorithm exhibited superior tracking speed, response, and accuracy, compared with those of the traditional PSO algorithm.
    關聯: Applied Energy
    顯示於類別:[電機工程系(所)] 【電機工程系所】期刊論文

    文件中的檔案:

    檔案 描述 大小格式瀏覽次數
    Improved Particle Swarm Optimization for Maximum Power Point Tracking in Photovoltaic Module Arrays.pdf2470KbAdobe PDF1815檢視/開啟


    在NCUTIR中所有的資料項目都受到原著作權保護.


    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - 回饋