利用智慧型靜態同步補償器以改善下垂式控制微電網之電力品質

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姓名

李孟洋(Meng-Yang Li) 查詢紙本館藏

畢業系所

電機工程學系

論文名稱

利用智慧型靜態同步補償器以改善下垂式控制微電網之電力品質
(Using Intelligent DSTATCOM to Improve Power Quality of Droop Controlled Microgrid)

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至系統瀏覽論文 (2027-8-1以後開放)

摘要(中)

本論文提出一種具有配電型靜態同步補償器(Distribution Static Compensator, DSTATCOM）的下垂控制微電網，以改善微電網之電力品質。由於虛功率/電壓Q-V下垂特性，以及不平衡、線性和非線性負載的存在，造成微電網於孤島模式下具有嚴重的電力品質問題，包括電壓降、不平衡電流、落後功率因數（Power Factor, PF）和電流諧波等。此外，由於負載變化時若DSTATCOM中的直流鏈電壓之變化控制不宜，將造成DSTATCOM改善電力品質的性能嚴重退化。因此，為了有效改善下垂控制微電網的電力品質和負載變化下DSTATCOM中直流鏈電壓的暫態響應，本文提出了一種線上訓練的多項式派翠模糊神經網路（Polynomial Petri Fuzzy Neural Network, PPFNN）控制器作為直流鏈電壓控制器，以用於取代DSTATCOM中的傳統比例積分(Proportional-Integral, PI)控制器，並且本文詳細推導所提出的PPFNN之網路架構和線上學習策略。最後，本文利用模擬及實驗以驗證DSTATCOM 使用所提出的PPFNN控制器於下垂控制微電網中改善不平衡電流、降低電流總諧波失真(Total Harmonic Distortion, THD)與虛功率補償的有效性。

摘要(英)

A droop controlled microgrid with distribution static compensator (DSTATCOM) is developed to improve the power quality in this thesis. Due to the reactive power/voltage Q-V droop characteristic and the existence of the unbalanced, linear inductive and nonlinear loads, the power quality problems including the voltage drop, unbalanced currents, lagging power factor (PF) and current harmonics are very serious in islanded microgrid. Moreover, if the design of the control of the DC-link voltage in the DSTATCOM is not suitable under load variation, the performance of the DSTATCOM for power quality improvement is seriously degenerated. Hence, to effectively improve the power quality of the droop controlled microgrid and the transient response of the DC-link voltage in the DSTATCOM under load variation, an online trained polynomial Petri fuzzy neural network (PPFNN) controller is proposed as the DC-link voltage controller to supersede the conventional proportional-integral (PI) controller. Furthermore, the network structure and the online learning strategy of the proposed PPFNN are detailedly derived. Finally, the effectiveness of the DSTATCOM using the proposed PPFNN controller in droop controlled microgrid to improve the unbalanced current, the total harmonic distortion (THD) reduction of the current and to compensate the reactive power is verified by using simulation and experimentation.

關鍵字(中)

★ 微電網
★ 電力品質
★ 功率因數校正
★ 智慧型控制
★ 配電型靜態同步補償器

關鍵字(英)

★ Microgrid
★ power quality
★ power factor correction
★ intelligent control
★ DSTATCOM

論文目次

摘要 I
Abstract II
誌謝 III
目錄 IV
圖目錄 VIII
表目錄 XVI
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 論文大綱 6
1.4 本文貢獻 7
第二章規範與微電網控制策略介紹 8
2.1 微電網規範 8
2.1.1 電流諧波 8
2.1.2 電流諧波定義及管制標準 8
2.1.3 功率因數 12
2.1.4 功率因數定義及管制標準 13
2.1.5 電流不平衡 14
2.1.6 電流不平衡比定義 14
2.1.7 IEEE 929-2000規範 15
2.1.8 IEEE 1547-2003規範 15
2.2 微電網控制策略 17
2.2.1 配電型靜態同步補償器介紹 17
2.2.2 配電型靜態同步補償器之工作原理 17
2.2.3 下垂控制策略之下垂控制方程式與曲線 21
第三章系統架構與控制策略 22
3.1 簡介 22
3.2 三相座標軸轉換 22
3.3 鎖相迴路 25
3.3.1 以同步旋轉座標軸實現的鎖相迴路 25
3.4 實功率與虛功率的計算 27
3.5 低通濾波器 35
3.5.1 一階低通濾波器 35
3.5.2 二階低通濾波器 36
3.6 下垂控制策略與配電型靜態同步補償器控制策略 37
3.6.1 下垂控制策略 37
3.6.2 配電型靜態同步補償器控制策略 40
第四章多項式派翠模糊類神經網路 44
4.1 簡介 44
4.2 多項式派翠模糊類神經網路架構 44
4.3 多項式派翠模糊類神經網路線上學習法則 47
4.4 多項式派翠模糊類神經網路收斂性分析 50
第五章模擬結果 53
5.1 下垂控制與配電型靜態同步補償器控制策略之模擬結果 53
5.1.1 情境一：補償非線性負載與三相線性負載之模擬結果 54
5.1.2 情境二：補償非線性負載、三相線性負載與三相不平衡負載之模擬結果 63
5.1.3 情境三：情境二變動負載之模擬結果 72
第六章硬體與實驗結果 78
6.1 簡介 78
6.2 儲能系統硬體設備 79
6.2.1 儲能系統變流器 79
6.2.2 負載之規劃 80
6.3 儲能系統週邊電路 82
6.3.1 交流電流回授電路 83
6.3.2 交流電壓回授電路 84
6.3.3 直流電壓回授電路 85
6.3.4 過電壓與過電流保護電路 86
6.3.5 開關互鎖電路 88
6.3.6 數位訊號處理器 91
6.3.7 DAC轉換電路 91
6.4 配電型靜態同步補償器系統硬體設備 94
6.4.1 配電型靜態同步補償器系統變流器 95
6.4.2 資料擷取卡 97
6.5 下垂控制與配電型靜態同步補償器控制策略之實驗結果 98
6.5.1 情境一：補償非線性負載與三相線性負載之實驗結果 99
6.5.2 情境二：補償非線性負載、三相線性負載與三相不平衡負載之實驗結果 108
6.5.3 情境三：情境二變動負載之實驗結果 117
第七章結論與未來展望 123
7.1 結論 123
7.2 未來展望 124
參考文獻 125
作者簡歷 133

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指導教授

林法正(Faa-Jeng Lin)

審核日期

2022-8-18

推文