研究生: |
劉俊良 Chun-Liang Liu |
---|---|
論文名稱: |
以模糊控制為基礎之太陽能最大功率追蹤演算法研究 Research on the Fuzzy-Control based Maximum Power Point Tracking Technology for Photovoltaic System |
指導教授: |
劉益華
Yi-Hua Liu |
口試委員: |
羅有綱
Yu-Kang Lo 郭見隆 Jian-Long Kuo 鄧人豪 Jen-Hao Teng 王順忠 Shun-Chung Wang |
學位類別: |
碩士 Master |
系所名稱: |
電資學院 - 電機工程系 Department of Electrical Engineering |
論文出版年: | 2011 |
畢業學年度: | 99 |
語文別: | 中文 |
論文頁數: | 87 |
中文關鍵詞: | 模糊控制 、最大功率追蹤 、擾動觀察法 |
外文關鍵詞: | Fuzzy control, MPPT, P&O algorithms |
相關次數: | 點閱:320 下載:4 |
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近年來能源短缺及環保意識抬頭,太陽能電池的應用越來越廣泛,如何讓太陽能電池發揮最大的使用效能,即為目前太陽能相關技術最重要的課題。影響太陽能電池的效能重要之因素分別為太陽能電池的半導體製程技術與最大功率追蹤技術。本文將提出以模糊控制為基礎之太陽能最大功率追蹤系統演算法研究,並於文中對硬體及韌體部分做詳細介紹,本文中功率電路是使用升壓式轉換器,韌體部分則是使用Microchip公司所推出的dsPIC微處理器來實現數位控制器,為了取得太陽能最大功率追蹤效果的資訊,本文選用國家儀器公司National Instruments所開發的LabVIEW做為人機介面來監控並記錄狀態資料。本文中所使用之模糊演算法是依據太陽能電池之輸入功率與輸入電壓來調整責任週期;並且實現傳統擾動觀察法與本文提出的模糊控制法做實驗比較,根據實驗結果,本文所實現之太陽能最大功率追蹤系統確實可提升穩態時的效能及暫態時之追蹤速度。
The ever-increasing demand for low-cost energy and growing concern about environmental issues has generated huge interest in the utilization of alternative energy sources such as the solar energy. A photovoltaic cell (PV cell) is a specialized semiconductor diode and can be utilized to convert the freely and abundantly available solar energy into electrical energy. One of the major advantages of PV cell is the fact that it is non-polluting, requiring only real estate in order to function. Another advantage is the fact that solar energy is unlimited. Once a photovoltaic system has been installed, it can provide energy at essentially no cost for years, and with minimal maintenance. A major challenge for using the PV cell is that its I–V characteristics is nonlinear, which result in a unique maximum power point (MPP) on its P–V curve. This matter is further complicated due to the dependence of these characteristics on solar irradiation and temperature. Therefore, a maximum power point tracking (MPPT) technology is essential for PV system.
In this thesis, a fuzzy-control based MPPT algorithm is proposed. By using the deviation of power (△P) and the deviation of voltage (△V) as the fuzzy controller input,the required control variable (duty cycle) can be deduced. In this thesis, the power stage of the PV system is the boost converter and the firmware is implemented using the dsPIC digital signal controller (DSC) from Microchip. In order to validate the correctness of the proposed algorithm, a graphical user interface (GUI) is also presented to monitor and record the operating status of the proposed PV system. According to the experimental results, the proposed system can improve the tracking speed and the steady state performance of the MPPT comparing to conventional fixed-step perturb and observe (P&O) method.
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