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    請使用永久網址來引用或連結此文件: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/101421

    題名: A Study on the Fuzzy-Logic-Based Solar Power MPPT Algorithms Using Different Fuzzy Input Variables
    作者: 蕭照焜;魏煜宸;陳柏志;Jaw-Kuen Shiau;Yu-Chen Wei;Bo-Chih Chen
    貢獻者: 淡江大學航空太空工程學系
    關鍵詞: maximum power point tracking;fuzzy rule determination;fuzzy MPPT algorithms
    日期: 2015-04
    上傳時間: 2015-04-29 09:33:31 (UTC+8)
    出版者: MDPIAG
    摘要: Maximum power point tracking (MPPT) is one of the key functions of the solar power management system in solar energy deployment. This paper investigates the design of fuzzy-logic-based solar power MPPT algorithms using different fuzzy input variables. Six fuzzy MPPT algorithms, based on different input variables, were considered in this study, namely (i) slope (of solar power-versus-solar voltage) and changes of the slope; (ii) slope and variation of the power; (iii) variation of power and variation of voltage; (iv) variation of power and variation of current; (v) sum of conductance and increment of the conductance; and (vi) sum of angles of arctangent of the conductance and arctangent of increment of the conductance. Algorithms (i)–(iv) have two input variables each while algorithms (v) and (vi) use a single input variable. The fuzzy logic MPPT function is deployed using a buck-boost power converter. This paper presents the details of the determinations, considerations of the fuzzy rules, as well as advantages and disadvantages of each MPPT algorithm based upon photovoltaic (PV) cell properties. The range of the input variable of Algorithm (vi) is finite and the maximum power point condition is well defined in steady condition and, therefore, it can be used for multipurpose controller design. Computer simulations are conducted to verify the design.
    關聯: Algorithms 8(2), pp.100-127
    DOI: 10.3390/a8020100
    顯示於類別:[航空太空工程學系暨研究所] 期刊論文


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