教師資料查詢 | 類別: 期刊論文 | 教師: 蕭照焜 Shiau Jaw-kuen (瀏覽個人網頁)

標題:A Study on the Fuzzy-Logic-Based Solar Power MPPT Algorithms Using Different Fuzzy Input Variables
學年103
學期2
出版(發表)日期2015/04/08
作品名稱A Study on the Fuzzy-Logic-Based Solar Power MPPT Algorithms Using Different Fuzzy Input Variables
作品名稱(其他語言)
著者蕭照焜; 魏煜宸; 陳柏志; Jaw-Kuen Shiau; Yu-Chen Wei; Bo-Chih Chen
單位淡江大學航空太空工程學系
出版者MDPI
著錄名稱、卷期、頁數Algorithms 8(2), pp.100-127
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.
關鍵字maximum power point tracking;fuzzy rule determination;fuzzy MPPT algorithms
語言英文
ISSN1999-4893
期刊性質國外
收錄於EI;
產學合作
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國別瑞士
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