下垂控制微電網結合智慧型太陽能配電型靜態同步補償器改善電力品質

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管昭昀(Chao-Yun Kuan) 查詢紙本館藏

畢業系所

電機工程學系

論文名稱

下垂控制微電網結合智慧型太陽能配電型靜態同步補償器改善電力品質
(Droop Controlled Micogrid with Intelligent PV-DSTATCOM for Power Quality Improvement)

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至系統瀏覽論文 (2029-8-1以後開放)

摘要(中)

本論文提出一種儲能系統與基於太陽能光電系統之配電型靜態同步補償器(Photovoltaic Distribution Static Synchronous Compensator, PV-DSTATCOM)組成的下垂控制微電網，由於分散式可再生能源發電系統(DGs)快速發展、感性負載廣泛使用及負載突變，造成電力品質上的問題，例如電流不平衡、電流諧波、功率因數落後等，因此，提出一種新型的PV-DSTATCOM來改善電力品質的問題。
此外，為了有效改善在負載變化時的虛功率補償暫態響應，首次提出了具有線上訓練能力的派翠勒壤得模糊神經網路(Petri Legendre Fuzzy Neural Network, PLFNN)用於取代傳統的比例積分（Proportional-Integral, PI）控制器，並且本論文詳細推導提出的PLFNN之網路架構和線上學習策略。最後，利用實作及電腦模擬結果驗證DSTATCOM使用所提出的PLFNN控制器於下垂控制微電網中改善電流不平衡、降低電流總諧波失真(Total Harmonic Distortion, THD)、功率因數校正(Power Factor, PF)和改善暫態響應的有效性。

摘要(英)

A droop controlled microgrid composed of a battery energy storage system (BESS) and a photovoltaic based distribution static synchronous compensator (PV-DSTATCOM) is developed in this study for the power quality improvement. Owing to the high penetration rate of the renewable energy source-based distributed generators (DGs), extensive usage of the inductive loads, and unexpected load change, the power quality issues, including unbalanced currents, current harmonics, and lagging power factor (PF), have become severe challenges in microgrid. Consequently, a novel control algorithm of PV-DSTATCOM is firstly proposed to overcome the power quality issues. The PV-DSTATCOM owns the droop characteristic and the ability to compensate the reactive power for power quality improvement. Moreover, to effectively improve the transient response of the reactive power compensation and the performance of the PV-DSTATCOM during load variations, an online trained Petri Legendre fuzzy neural network (PLFNN) controller is firstly proposed to replace the conventional proportional-integral (PI) controller. Furthermore, the network structure and the online learning algorithm of the proposed PLFNN are detailedly derived. Finally, the effectiveness of the PV-DSTATCOM using the proposed PLFNN controller in the microgrid to reduce the total harmonic distortion (THD) of the current, correct the PF and compensate the three-phase unbalanced currents is verified by simulation and experimentation.

關鍵字(中)

★ 微電網
★ 下垂控制
★ 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
★ droop control
★ power quality
★ power factor correction
★ intelligent control
★ DSTATCOM

論文目次

摘要 i
ABSTRACT ii
致謝 iii
目錄 iv
圖目綠 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 2
1.3 論文大綱 4
1.4 論文貢獻 4
第二章微電網規範與配電型靜態同步補償器 6
2.1 簡介 6
2.2 電流諧波 6
2.2.1 電流諧波定義 6
2.2.2 電流諧波管制標準 7
2.3 功率因數 10
2.3.1 功率因數定義 11
2.4 三相電流不平衡 12
2.4.1 電流不平衡比定義 13
2.5 配電型靜態同步補償器 13
2.5.1 配電型靜態同步補償器介紹 13
2.5.2 配電型靜態同步補償器原理 14
2.6 下垂控制策略之下垂控制方程式與曲線 16
第三章系統架構與微電網控制策略 18
3.1 簡介 18
3.2 三相座標軸轉換 18
3.3 鎖相迴路 20
3.3.1 以同步旋轉座標軸實現的鎖相迴路 20
3.3.2 二階廣義積分器 21
3.3.3 二階廣義積分器之鎖相迴路 22
3.4 實功率、虛功率計算 23
3.5 低通濾波器 24
3.6 PI控制器 25
3.7 下垂控制策略與配電型靜態同步補償器控制策略介紹 26
3.7.1 下垂控制策略 26
3.7.2 配電型靜態同步補償器控制策略 29
第四章派翠勒壤得模糊類神經網路 31
4.1 簡介 31
4.2 派翠勒壤得模糊類神經網路架構 31
4.3 派翠勒壤得模糊類神經網路線上學習法則 35
4.4 派翠勒壤得模糊類神經網路收斂性分析 37
第五章模擬結果 39
5.1 配電型靜態同步補償器與下垂控制微電網模擬結果 39
5.1.1 情境一：非線性負載與三相線性感性負載補償之模擬結果 40
5.1.2 情境二：非線性負載、三相線性感性負載與三相不平衡負載補償之模擬結果 48
5.1.3 情境三：情境二負載變動之模擬結果 56
第六章硬體與實驗結果 61
6.1 簡介 61
6.2 磷酸鋰鐵電池 62
6.2.1 電池保護裝置 63
6.2.2 電池平衡裝置 64
6.3 變流器 65
6.4 儲能系統週邊電路 67
6.4.1 交流電壓、電流回授電路 67
6.4.2 直流電壓回授電路 69
6.4.3 過電壓與電流保護 70
6.4.4 開關互鎖電路 71
6.5 數位訊號處理器 TSM320F28335 74
6.5.1 數位/類比轉換電路 76
6.6 配電型靜態同步補償器系統硬體設備 78
6.6.1 可程式控制直流電源供應器 79
6.6.2 配電型靜態同步補償器之系統變流器 80
6.6.3 太陽能光電系統電流迴路 81
6.6.4 資料擷取卡PCI-1716 82
6.7 配電型靜態同步補償器與下垂控制微電網實驗結果 83
6.7.1 情境一：非線性負載與三相線性感性負載補償之實驗結果 84
6.7.2 情境二：非線性負載、三相線性感性負載與三相不平衡負載補償之實驗結果 92
6.7.3 情境三：情境二負載變動之實驗結果 100
第七章結論與未來展望 105
7.1 結論 105
7.2 未來展望 106
參考文獻 107
作者簡歷 113

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指導教授

林法正(Faa-Jeng Lin)

審核日期

2024-8-7

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