利用智慧型控制配電型靜態同步補償器(DSTATCOM)改善電力品質及直流鏈電壓調控

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蔡詔揚(Chao-Yang Tasi) 查詢紙本館藏

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電機工程學系

論文名稱

利用智慧型控制配電型靜態同步補償器(DSTATCOM)改善電力品質及直流鏈電壓調控
(Intelligent Controlled DSTATCOM for Power Quality Improvement and DC-Link Voltage Regulation)

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摘要(中)

本論文提出一配電型靜態同步補償器來改善非線性與線性負載造成之電流諧波與功率因數等電力品質問題。另一方面，由於功率流進或流出配電型靜態同步補償器之直流鏈側的電容，會造成直流鏈電壓的波動。因此，配電型靜態同步補償器之直流鏈電壓控制在負載變動情況下尤其重要。本論文為了改善電力品質與有效地維持直流鏈電壓在非線性與線性負載變動情況下，提出一新式非對稱補償模糊類神經網路(CFNN-AMF)控制器取代傳統比例積分(PI)控制器。本論文所提出的非對稱補償模糊類神經網路(CFNN-AMF)，其補償層參數整合了CFNN模糊系統中的悲觀與樂觀運算。並且，在歸屬函數層的維度採用非對稱(AMF)的方式以優化模糊規則與提升網路學習能力的最佳化。此外，本論文將詳細介紹CFNN-AMF的網路架構與線上學習法則。最後，以實驗結果驗證使用CFNN-AMF之配電型靜態同步補償器在非線性與線性負載變動情況下改善電力品質與維持直流鏈電壓之有效性與可行性。

摘要(英)

A distribution static compensator (DSTATCOM) is proposed to improve power quality, including the grid current harmonic and power factor, resulted from the nonlinear and linear loads. On the other hands, since the instantaneous power following into or out of the DC-link capacitor on the DC side of the DSTATCOM, a sudden load change may cause a serious DC-link voltage fluctuation across the dc capacitor. Hence, the DC-link voltage regulation control of the DSTATCOM is important especially under load variation. In this study, to improve the power quality and keep the DC-link voltage of the DSTATCOM constant under variation of nonlinear and linear loads effectively, the traditional proportional-integral (PI) controller is substituted with a novel online trained compensatory neural fuzzy network with an asymmetric membership function (CFNN-AMF) controller. In the proposed CFNN-AMF, the compensatory parameter to integrate pessimistic and optimistic operations of fuzzy systems is embedded in the CFNN. Moreover, the dimensions of the Gaussian membership functions are directly extended to AMFs for the optimization of the fuzzy rules and the upgrade of learning ability of the networks. Furthermore, the network structure and online learning algorithms of the proposed CFNN-AMF are introduced in detail. Finally, the effectiveness and feasibility of the DSTATCOM using the proposed CFNN-AMF controller for the improvement of power quality and maintaining the constant DC-link voltage under nonlinear and linear load change have been demonstrated by some experimental results.

關鍵字(中)

★ 靜態同步補償器
★ 電力品質
★ 直流鏈電壓控制
★ 虛功補償
★ 總諧波失真
★ 非對稱歸屬函數之補償模糊類神經網

關鍵字(英)

論文目次

摘要 I
Abstract II
目錄 IV
圖目錄 VII
表目錄 X
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 5
1.4 本文貢獻 6
第二章規範與配電型靜態同步補償器介紹 7
2.1 簡介 7
2.2 電流諧波 7
2.2.1電流諧波定義 8
2.2.2諧波失真率公式及現行諧波管制標準 9
2.3 功率因數 12
2.3.1 功率因數定義 13
2.3.2 功率因數管制標準 14
2.4 DSTATCOM介紹 15
2.4.1 彈性交流輸電系統之基本介紹 16
2.4.2 配電型靜態同步補償器之工作原理 19
第三章配電型靜態同步補償器系統架構與控制策略 21
3.1 簡介 21
3.2 三相座標軸轉換 22
3.3 靜止座標軸 23
3.4 配電型靜態同步補償器架構與補償技術 24
3.4.1 瞬時功率理論(Instantaneous Power Theory) 25
3.4.1 同步旋轉座標軸法(Synchronous Reference Frame, SRF) 28
3.5 直流鏈電壓控制 29
3.6 整體控制策略 30
第四章非對稱歸屬函數之補償模糊類神經網路 32
4.1 簡介 32
4.2 非對稱歸屬函數之補償模糊類神經網路架構 32
4.3 非對稱歸屬函數之補償模糊類神經網路線上學習法則 36
4.4 非對稱歸屬函數之補償模糊類神經網路收斂性分析 39
第五章模擬結果 43
5.1 模擬結果 43
5.1.1 非線性負載補償模擬結果 43
5.1.2 功率因數補償模擬結果 50
5.1.3 非線性負載與功率因數補償模擬結果 57
5.1.4 變動負載模擬結果 60
第六章硬體與實驗結果 65
6.1 簡介 65
6.2 硬體設備 65
6.2.1 變流器 67
6.2.2 非線性負載與線性負載 69
6.2.3 資料擷取卡 70
6.3 實驗結果 71
6.3.1 非線性負載補償實驗結果 72
6.3.2 功率因數補償實驗結果 79
6.3.3 非線性負載與功率因數補償實驗結果 86
6.3.4 變動負載實驗結果 89
6.3.5 智慧型控制器參數學習實驗結果 94
第七章結論與未來展望 95
7.1 結論 95
7.2 未來展望 96
參考文獻 97
作者簡歷 102

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指導教授

林法正

審核日期

2018-8-21

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