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研究生: 董致佳
Chih-Chia Tung
論文名稱: 適用於太陽能發電系統之變動步階擾動觀察法之研究與實現
Research and Implementation of a Variable Step-Size Perturbation and Observation Algorithm for Photovoltaic System
指導教授: 劉益華
Yi-Hua Liu
口試委員: 羅有綱
Yu-Kang Lo
王順忠
Shun-Zhong Wang
呂榮基
Rong-Ji Lu
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: 2012
畢業學年度: 100
語文別: 中文
論文頁數: 78
中文關鍵詞: 太陽能光伏系統最大功率追蹤擾動觀察法變動步階
外文關鍵詞: Photovoltaic System, Maximum Power Point Tracking, Perturbation and Observation Method, Variable Step-Size
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  • 太陽光伏能源(PV)是重要的再生能源之一,因為它是乾淨、無空氣和噪音污染並取之不盡,用之不竭的。在太陽能發電系統中,為了提高轉換效率,最大功率追蹤技術(MPPT)必須具有快速反應,並能夠在任何天氣條件下追蹤至最大功率點。針對此特點文獻裡有許多的MPPT技術都已提出相關方法並進一步實現。其中,擾動觀察法(P&O)是最常見的、簡單的,而且易於實現,且性能良好。P&O遭遇了控制擾動增量值的權衡,亦即較小的擾動值在穩態時可以減少功率損,而較大的擾動值能夠改善日照快速變化或是負載改變時的動態反應。
    本論文提出了變動步階式擾動觀察法來處理控制擾動增量值所遇到的問題。升壓式轉換器作為功率級並使用瑞薩公司所出產的微處理器RX62T來實現最大功率追蹤法。變動步階式擾動觀察法實現所面臨的困難之一是如何正確地選擇比例因子(M),錯誤的M值選擇很容易導致不穩定或無效率的追蹤。在本論文中,M值的選擇是在太陽能光伏系統的模擬基礎上做深入研究。模擬與實驗都驗證了變動步階式擾動觀察法的可行性。根據實驗結果,所提出的變動步階式擾動觀察法,相較於傳統的P&O的算法,確實可以實現穩態時有較高的效率與較快的追蹤速度。


    Photovoltaic (PV) energy is one of the most important renewable energy sources since it is clean, free and inexhaustible. To improve the conversion efficiency, a maximum power point tracking (MPPT) technique which has quick response and is able to track the peak power generated in any weather condition is required. Many MPPT techniques have been proposed and implemented in the literatures. Among them, the perturbation and observation (P&O) method is the most common for simplicity, ease of implementation, and good performance. P&O algorithms suffer a tradeoff in choosing the increment value of the control variable; small values decrease the losses in steady state due to small perturbations around the maximum power point (MPP), while large values improve the dynamic behavior in situations involving quickly changing irradiation conditions or load.
    In this thesis, a variable step-size P&O method is implemented to deal with this problem. A boost converter is used as the power stage and the MPPT controller is realized using microcontroller RX62T from RENESAS corp. One of the difficulties faced in the implementation of variable step size algorithms is in finding the right value of the scaling factor M. A poor choice of M can easily lead to instability or inefficient tracking. In this thesis, the value M is selected based on intensive study of the simulation of the PV system. Simulation and experiments are carried out to validate the feasibility of the presented algorithm. According to the experimental results, the presented variable step-size algorithm can achieve high static tracking efficiency and faster tracking speed comparing to conventional P&O algorithms.

    摘要 I Abstract II 誌謝 IV 圖目錄 VIII 表目錄 XI 第一章 緒論 1 1.1 前言 1 1.2 研究動機與目的 3 1.3太陽能最大功率追蹤系統架構 4 1.4 論文大綱介紹 5 第二章 太陽能電池與發電系統介紹 6 2.1 太陽能電池簡介 6 2.2 太陽能電池原理及種類介紹 6 2.3 太陽能電池電氣特性 11 第三章 太陽能最大功率追蹤技術 15 3.1 最大功率追蹤技術簡介 15 3.2 最大功率追蹤技術種類 15 3.2.1 開路電壓法 15 3.2.2 短路電流法 16 3.2.3 電壓回授法 16 3.2.4 功率回授法 17 3.2.5 增量電導法 18 3.2.6 直線近似法 19 3.2.7 擾動觀察法 21 第四章 最大功率追蹤系統之硬體架構設計 24 4.1 升壓式轉換器 25 4.2 升壓式轉換器動作原理 26 4.3 升壓式轉換器主要元件設計 30 4.4 電路規格設計 33 4.5 電路硬體保護設計 35 第五章 最大功率追蹤系統之韌體架構設計 36 5.1 微處理器RX62T簡介 37 5.2 變動步階式擾動觀察法 41 5.2.1 變動步階式擾動觀察法(ΔP對應ΔI演算法) 42 5.2.2 變動步階式擾動觀察法(ΔP對應ΔV演算法) 44 5.2.3 兩段式步階擾動觀察法 46 5.3 變動步階式擾動觀察法比較表 47 5.4 本文使用之變動步階式擾動觀察法設計介紹 48 5.5 韌體主程式架構設計 49 5.5.1 固定步階式擾動觀察法設計流程 51 5.5.2 變動步階式擾動觀察法設計流程 52 第六章 實驗結果及分析 54 6.1 實驗設備與環境介紹 54 6.2 太陽能最大功率追蹤系統模擬 56 6.2.1 固定步階式擾動觀察法模擬 56 6.2.2 變動步階式擾動觀察法模擬 58 6.3 太陽能最大功率追蹤系統實測 62 6.3.1 固定步階式擾動觀察法實測 62 6.3.2 變動步階式擾動觀察法實測 63 6.4 實驗結果比較 67 第七章 結論與未來展望 69 7.1 結論 69 7.2 未來展望 70 參考文獻 71

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