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研究生:陳英豪
研究生(外文):Ing-Hao Chen
論文名稱:太陽光電模組陣列故障檢測之研究
論文名稱(外文):Study of Fault Detection for Photovoltaic Module Arrays
指導教授:趙貴祥
指導教授(外文):Kuei-Hsiang Chao
學位類別:碩士
校院名稱:國立勤益科技大學
系所名稱:電機工程系
學門:工程學門
學類:電資工程學類
論文種類:學術論文
論文出版年:2017
畢業學年度:105
語文別:中文
論文頁數:98
中文關鍵詞:太陽光電模組故障診斷最大功率追蹤太陽光電模組模擬器二元搜尋演算法Visual C#
外文關鍵詞:photovoltaic module fault diagnosismaximum power point trackingphotovoltaic module simulatorbinary search algorithmVisual C#
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為改善既有太陽光電模組陣列故障檢測之缺點,本論文提出基於二元搜尋演算法之太陽光電模組故障診斷系統,並以單晶片實現二元搜尋演算法,同時為克服多節點電壓偵測及降低積體電路元件使用數量,運用類比開關進行檢測通道切換,據此將檢測結果顯示於Visual C#開發之軟體平台。該故障診斷方法不需學習,即可運用於太陽光電模組陣列之故障診斷,且具有相當高之準確度及建置成本較低等優勢。最後,本論文藉由模擬器模擬實際模組在異常狀況時,以二元搜尋演算法進行最大功率追蹤後,進行太陽光電模組陣列之故障診斷,以驗證所提故障診斷方法之可行性。
To improve the existed photovoltaic module array fault detection of the shortcomings, this thesis presents a binary search algorithm based maximum power point tracking for the photovoltaic module fault diagnosis system. A single chip microprocessor was used to implement the binary search algorithm. In addition, to overcome the multi-node voltage values detection and reduce the number of integrated circuit components, the analog switches were used for channel switching. And then the test results were shown in Visual C # development platform. The fault diagnosis method can be used in the diagnosis of photovoltaic module array, and there is no need to learn in advance. Furthermore, it has the advantages of high accuracy and low construction cost. Finally, this thesis simulates the actual module by simulator in the case of abnormal condition, and using the binary search algorithm based maximum power point tracking to detect the fault of photovoltaic module array to validate the effectiveness of the proposed fault diagnosis system.
摘要.................................................I
ABSTRACT.............................................II
致謝.................................................III
目錄.................................................IV
圖目錄...............................................VII
表目錄...............................................XI
第一章 簡介..........................................1
1.1研究動機及目的.....................................1
1.2研究方法..........................................2
1.3論文大綱..........................................2
第二章 太陽光電發電系統...............................4
2.1前言..............................................4
2.2太陽光電發電系統之架構.............................4
2.3太陽光電模組之工作原理.............................7
2.4太陽能電池種類及特性...............................10
2.5目前既有之太陽光電發電系統的故障診斷................15
第三章 太陽光電模組模擬器.............................19
3.1前言.............................................19
3.2可設定遮蔭及故障情形之太陽光電模組模擬器電路工作原理..19
3.3 Solar Pro模擬軟體及模擬器之電氣特性曲線比較........21
第四章 太陽光電模組陣列之最大功率追蹤技術...............39
4.1前言.............................................39
4.2既有太陽光電發電系統之最大功率追蹤法................39
4.2.1電壓回授法(Voltage Feedback Method).............39
4.2.2定電壓法(Constant Voltage Method)...............41
4.2.3功率回授法(Power Feedback Method)...............43
4.2.4擾動觀察法(Perturb and Observe Method)..........45
4.2.5增量電導法(Incremental Conductance Method)......48
4.2.6直線近似法(Straight-Line Approximation Method)..51
4.2.7梯度法(Gradient Method).........................52
4.3基於粒子群演算法之最大功率追蹤技術..................55
4.3.1結合粒子群演算法之最大功率追蹤器..................55
4.3.2粒子群演算法....................................56
4.3.3太陽光電模組陣列之最大功率追蹤控制電路.............59
4.3.4粒子群演算法之最大功率追蹤實測結果................66
第五章 太陽光電模組陣列之線上故障診斷..................73
5.1前言.............................................73
5.2基於二元搜尋演算法實現太陽光電模組陣列故障診斷之技術..73
5.2.1結合二元搜尋演算法之故障診斷器....................73
5.2.2二元搜尋演算法..................................76
5.3檢測資訊處理技術與實測結果.........................80
5.3.1檢測資料傳輸之實現...............................80
5.3.2 Visual C#軟體開發平台..........................82
5.3.3太陽光電模組陣列之故障診斷實測結果................84
第六章 結論..........................................91
6.1總結.............................................91
6.2未來研究方向......................................91
參考文獻.............................................93
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