利用智慧型控制與主動式直軸訊號注入法之孤島偵測研究

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姓名

邱建興(Jeng-hsing Chiu) 查詢紙本館藏

畢業系所

電機工程學系

論文名稱

利用智慧型控制與主動式直軸訊號注入法之孤島偵測研究
(Active islanding detection method using d-axis disturbance signal injection with intelligent control)

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摘要(中)

本篇研究論文利用直軸訊號注入法並結合智慧型控制器提出一新型主動式孤島偵測法，所提之主動式孤島偵測法基於將擾動訊號透過與直軸電流的結合轉換至換流器系統，此直軸電流的擾動在市電脫離時將導致RLC負載端的頻率偏移。所提之孤島偵測法將於UL1741安全規範的反孤島測試系統中評估可行性，此直軸擾動訊號注入法旨在達成類似零的盲點偵測區和最小化功率品質的影響並且在不需其它感測元件或裝置的情況下簡易執行。此外為近一步的增進孤島偵測能力，本論文提出小波模糊類神經網路控制器來取代傳統的比例積分控制器於孤島偵測控制法中，此小波模糊類神經網路具有倒傳遞與模糊類神經之智慧學習演算功能，最後，於實驗結果中驗證所提之智慧型直軸訊號注孤島偵測法之可行性與有效性。

摘要(英)

A novel active islanding detection method using d-axis disturbance signal injection with intelligent control is proposed in this study. The proposed active islanding detection method is based on injecting a disturbance signal into the system through the d-axis current which leads to a frequency deviation at the terminal of the RLC load when the grid is disconnected. The feasibility of the proposed method is evaluated under the UL1741 anti-islanding test configuration. The proposed d-axis disturbance signal injection method is intended to achieve a reliable detection with quasi zero non-detection zone (NDZ), minimum effects on power quality and easy implementation without additional sensing devices or equipments. Moreover, to further improve the performance of islanding detection method, a wavelet fuzzy neural network (WFNN) intelligent controller is proposed to replace the proportional-integral (PI) controller used in traditional injection method for islanding detection. Furthermore, the network structure and the on-line learning algorithm of the WFNN are introduced in detail. Finally, the feasibility and effectiveness of the proposed d-axis disturbance signal injection method is verified with experimental results.

關鍵字(中)

★ 換流器
★ 孤島偵測
★ 盲點偵測區
★ 小波模糊類神經網路

關鍵字(英)

★ non-detection zone
★ inverter
★ islanding detection

論文目次

中文摘要 I
英文摘要 II
誌謝 III
目錄 IV
圖目錄 VII
表目錄 XII
第一章緒論 1
1.1 研究背景與動機 1
1.2 文獻回顧 3
1.3 研究成果 7
1.4 論文大綱 8
第二章孤島偵測法技術介紹與分析 9
2.1 簡介 9
2.2 孤島現象說明 10
2.3 反孤島測試電路設計 12
2.4 孤島偵測之相關規範 14
2.5 電力品質與保護規範 16
2.5.1 IEEE 929測試條件 16
2.5.2 IEEE1547測試條件 17
2.6 現有孤島偵測分析 19
2.6.1 被動式孤島偵測法 19
2.6.2 主動式孤島偵測法 26
第三章系統架構與換流器控制策略與模擬 34
3.1 簡介 34
3.2 三相座標軸轉換分析 35
3.2.1 靜止座標軸轉換 37
3.2.2 同步座標軸轉換 38
3.3 三相電流控制與實虛功率控制分析 40
3.4 三相電壓相位同步法 41
3.4.1 相線電壓軸轉換法 41
3.4.2 三相電壓濾波法 42
3.4.3 鎖相迴路控制法 43
3.5 市電併聯型換流器之模擬 44
第四章小波模糊類神經網路控制器與模擬 52
4.1 簡介 52
4.2 小波模糊類神經網路架構 52
4.3 小波模糊類神經網路線上學習法則 55
4.4 小波模糊類神經網路控制器之模擬 58
第五章新型主動式孤島偵測法與模擬 63
5.1 簡介 63
5.2 主動式直軸訊號注入之孤島偵測法NDZ分析 63
5.3 主動式直軸訊號注入之孤島偵測法 65
5.4 主動式直軸訊號注入之孤島偵測法與WFNN之結合 70
5.5 主動式與被動式孤島偵測法之模擬 73
第六章硬體與實作結果 79
6.1 系統控制架構與系統實體成果 79
6.2 全系統硬體電路說明 81
6.2.1 高性能伺服控制卡MRC-6810 81
6.2.2 電壓感測電路 82
6.2.3 電流感測電路 82
6.2.4 智慧型功率模組與驅動電路 83
6.2.5 輔助電源電路 85
6.2.6 三相電流控制硬體電路 86
6.2.7 換流器軟體規劃 87
6.3 實作結果與說明 88
6.3.1 被動式孤島實作結果 89
6.3.2 主動式孤島實作果 91
6.3.3 復電偵測實作結果 102
第七章結論與未來展望 105
參考文獻 106
作者簡歷 111

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指導教授

林法正(Faa-jeng Lin)

審核日期

2011-7-26

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