智慧型控制動態電壓調節器 改善負載電壓穩定性

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姓名

李昀儒(Yun-Ju Li) 查詢紙本館藏

畢業系所

電機工程學系

論文名稱

智慧型控制動態電壓調節器改善負載電壓穩定性
(Intelligent Controlled Dynamic Voltage Restorer for Improving Load Voltage Stability)

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至系統瀏覽論文 (2029-8-1以後開放)

摘要(中)

在本研究中，提出了一種智慧型控制之動態電壓調節器(Dynamic Voltage Restorer, DVR）來穩定電網電壓在電壓驟升、驟降和不平衡時之負載電壓。由於意外情況、負載變化以及基於再生能源之分散式發電機（Distributed Generators, DGs）高滲透率，異常的電網電壓將嚴重導致設備損壞和敏感負載跳脫。因此，開發了一種DVR來在異常電網電壓條件下以穩定負載電壓。所開發的DVR係基於同步旋轉座標軸方法，並採用雙二階廣義積分鎖相迴路（Dual Second-Order Generalized-Integrator-Phase-Locked-Loop, DSOGI-PLL）進行電網同步。此外，本文所發展的DVR在不同負載中使用兩種不同控制策略，分別為，同相補償策略和能量優化補償策略。再者，為了有效提高所開發DVR的電壓補償性能，首次提出了兩種新型柴比雪夫機率模糊神經網路（Chebyshev probabilistic fuzzy neural network, CPFNN）控制器和柴比雪夫派翠機率模糊神經網路（Chebyshev Petri probabilistic fuzzy neural network, CPPFNN）來取代傳統的比例積分諧振（Proportional-Integral-Resonant , PIR）、傳統比例積分（Proportional-Integral, PI）和模糊類神經網路（Fuzzy Neural Network, FNN）控制器。詳細推導了所提出的CPFNN和CPPFNN控制器的網絡結構和線上學習算法。最後，藉由實驗結果驗證使用所提出的CPFNN和CPPFNN控制器的智慧型DVR在電網電壓驟升、驟降和不平衡時對負載電壓改善的有效性。

摘要(英)

An intelligent dynamic voltage restorer (DVR) is proposed in this study to stabilize and balance the load voltage during grid voltage swell, sag and imbalance. Owing to the contingency, unexpected load change and the high penetration rate of the renewable energy source-based distributed generators (DGs), the abnormal grid voltage conditions will severely lead to the equipment damage and sensitive loads tripping. Thus, a DVR is developed to stabilize the load voltage during the abnormal grid voltage conditions. The developed DVR is based on the synchronous reference frame and the dual second-order generalized integrator phase locked loop (DSOGI-PLL) is adopted for the grid synchronization in this study. Moreover, the developed DVR adapts the in-phase method and energy optimized method in different loads. To effectively improve the voltage compensation performance of the developed DVR, two novel Chebyshev probabilistic fuzzy neural network (CPFNN) controllers and Chebyshev Petri probabilistic fuzzy neural network (CPPFNN) are firstly proposed to replace the traditional proportional-integral-resonant (PIR), traditional proportional-integral (PI) and fuzzy neural network (FNN) controllers. The network structure and the online learning algorithm of the proposed CPFNN and CPPFNN controllers are derived in detailed. Finally, the effectiveness of the intelligent DVR using the proposed CPFNN or CPPFNN controllers for the load voltage improvement during grid voltage swell, sag and imbalance are certified by some experimental results.

關鍵字(中)

★ 動態電壓調節器
★ 電力系統故障
★ 同相補償
★ 能量優化補償
★ 柴比雪夫派翠機率模糊類神經網路

關鍵字(英)

★ DVR
★ in-phase compensation
★ energy-optimized compensation
★ power system faults
★ Chebyshev Petri probabilistic fuzzy neural network(CPPFNN)

論文目次

摘要 I
Abstract VI
圖目錄 XII
表目錄 XV
1 第一章緒論 1
1.1 研究背景與動機 1
1.2 文獻回顧 2
1.3 本文貢獻 5
1.4 論文大綱 6
2 第二章規範與DVR補償策略介紹 7
2.1 簡介 7
2.2 微電網規範 7
2.2.1 IEEE 1159-2019 7
2.2.2 IEEE 1459-2010 8
2.3 DVR電壓補償方法 8
2.3.1 同相補償策略 8
2.3.2 預降補償策略 9
2.3.3 能量優化補償策略 10
2.3.4 電壓補償策略之研討 11
3 第三章動態電壓調節器系統架構與控制策略 13
3.1 簡介 13
3.2 三相座標軸轉換 13
3.3 鎖相迴路 15
3.3.1 同步旋轉座標軸之鎖相迴路 15
3.3.2 正負序成份之探討 16
3.3.3 二階廣義積分器之鎖相迴路 23
3.4 DVR數學模型建立 24
3.4.1 純電阻性負載之數學模型推導 24
3.4.2 電感性負載之數學模型推導 26
3.5 動態電壓調節器之閉迴路控制 27
3.5.1 純電阻性負載之閉迴路控制 28
3.5.2 電感性負載之閉迴路控制 28
3.5.3 電壓比例積分控制器之設計 29
3.5.4 電壓比例積分諧振控制器之設計 31
3.5.5 電流比例積分控制器之設計 36
3.6 動態電壓調節器控制架構 38
3.6.1 純電阻性負載控制策略 38
3.6.2 電感性負載控制策略 41
3.6.3 電壓故障之偵測 44
4 第四章智慧型模糊類神經網路 45
4.1 簡介 45
4.2 純電阻負載之智慧型控制 45
4.2.1 柴比雪夫機率模糊類神經網路架構 45
4.2.2 柴比雪夫機率模糊類神經網路線上學習法則 48
4.2.3 柴比雪夫機率模糊類神經網路收斂性分析 50
4.3 電感性負載之智慧型控制 52
4.3.1 柴比雪夫派翠機率模糊類神經網路架構 52
4.3.2 柴比雪夫派翠機率模糊類神經網路線上學習法則 56
4.3.3 柴比雪夫派翠機率模糊類神經網路收斂性分析 58
5 第五章動態電壓調節器之模擬結果 61
5.1 純電阻性負載控制策略之模擬結果 61
5.1.1 情境一 : 線間電壓平衡驟降36 % 61
5.1.2 情境二 : 線間電壓平衡驟升20 % 64
5.1.3 情境三 : 電壓不平衡7% 67
5.2 電感性負載控制策略之模擬結果 74
5.2.1 情境一 : 線間電壓平衡驟降36 % 75
5.2.2 情境二 : 線間電壓平衡驟升20 % 82
5.2.3 情境三 : 線間電壓驟升20 %、驟降36 % 89
6 第六章動態電壓調節器硬體規劃與實驗結果 95
6.1 簡介 95
6.2 儲能系統介紹 96
6.2.1 磷酸鋰鐵電池 96
6.2.2 電池保護裝置 97
6.2.3 電池平衡裝置 97
6.3 儲能系統硬體設備 98
6.3.1 儲能系統變流器 99
6.4 DVR系統週邊電路 100
6.4.1 交流電流回授電路 101
6.4.2 交流電壓回授電路 102
6.4.3 直流電壓回授電路 103
6.4.4 過電壓與過電流保護裝置 103
6.4.5 開關互鎖電路 104
6.4.6 數位訊號處理器 106
6.4.7 DAC電路 108
6.5 三相可控交流電源供應器 110
6.6 單相變壓器 111
6.7 DVR純電阻性負載之控制策略實驗結果 112
6.7.1 情境一 : 線間電壓平衡驟降36 % 112
6.7.2 情境二 : 線間電壓平衡驟升20% 115
6.7.3 情境三 : 電壓不平衡7 % 118
6.8 DVR電感性負載之控制策略實驗結果 126
6.8.1 情境一 : 線間電壓平衡驟降36% 126
6.8.2 情境二 : 線間電壓平衡驟升20 % 133
6.8.3 情境三 : 線間電壓驟升20 %、驟降36 % 140
7 第七章結論與未來展望 146
7.1 結論 146
7.2 未來展望 146
8 參考文獻 147
9 作者簡歷 154

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指導教授

林法正(Faa-Jeng Lin)

審核日期

2024-8-8

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