研究生: |
賴伯榕 Bo-rong Lai |
---|---|
論文名稱: |
擾動觀察法於最大追蹤之評估 Assessment of Perturb-and-Observe MPPT Algorithm |
指導教授: |
劉益華
Yi-Hua Liu |
口試委員: |
羅有剛
Yu-Kang Lo 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: | 2014 |
畢業學年度: | 102 |
語文別: | 中文 |
論文頁數: | 70 |
中文關鍵詞: | 最大功率追蹤 、擾動觀察法 、參考電壓擾動 、直接責任週期擾動 |
外文關鍵詞: | maximum power point tracking, perturbation and observation, reference voltage perturbation, direct duty ratio perturbation |
相關次數: | 點閱:200 下載:10 |
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太陽能電池的輸出電壓與電流會根據照度與溫度的變化而改變,即太陽能電池的輸出特性受到天氣與環境因素影響。因此,太陽能電池在特定的照度與溫度下存在一最大功率輸出點。對太陽能發電系統而言,最大功率追蹤演算法是從太陽能電池獲得最大功率的重要技術。在過去有關最大功率追蹤技術的文獻中,擾動觀察法因其簡單且易於實現而普遍被採用。
擾動觀察最大功率追蹤演算法有兩個實現方法:參考電壓擾動與直接責任週期擾動。然而,兩種實現方法之間的差異少有探討。本論文首先建立兩種不同控制方法的擾動觀察最大功率追蹤系統,以升壓型轉換器作為功率級,並以Microchip公司出品之dsPIC33FJ16GS502數位訊號控制器實現最大功率追蹤控制器部分。接著透過實驗結果比較兩種系統之效能,並探討演算法參數對系統行為之影響。最後,討論並比較兩種技術之優缺點。
The output characteristics of solar cells are affected by weather and environmental factors, that is, cell output voltage and current vary according to changes in irradiance and temperature. Therefore, a unique maximum power point (MPP) exhibits under specific irradiance and temperature. For photovoltaic generation system (PGS), the maximum power point tracking (MPPT) algorithm is an essential technique to attain maximum power from solar cells. Among MPPT techniques proposed and implemented in the literatures, the perturbation and observation (P&O) method is the most popular because it is simple and can easily be implemented.
P&O MPPT algorithm typically can be implemented in two ways: reference voltage perturbation and direct duty ratio perturbation. However, the differences between these two methods were seldom discussed. In this thesis, two different types of P&O MPPT system were constructed. A boost converter is used as the power stage and the MPPT controllers are realized using digital signal controller dsPIC33FJ16GS502 from Microchip corp. Next, experiments were carried out to compare the performance of these two systems and to investigate the influence of algorithm parameter variation on system behavior. Finally, the advantages and drawbacks of each technique were discussed
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