微電網多功能功率調節系統之智慧型控制設計與應用

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詹詠竣(Yung-Chun Chan) 查詢紙本館藏

畢業系所

電機工程學系

論文名稱

微電網多功能功率調節系統之智慧型控制設計與應用
(Design of Intelligent Control and Application of Multi-Functional Power Conditioning System for Microgrid)

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摘要(中)

一般功率調節系統(Power Conditioning System, PCS)的主要功能為改善微電網系統(Microgrid, MG)之穩定性與負載平衡性，本文設計一多功能功率調節系統，除具有一般功率調節策略外也具有電壓補償之功能，當發生電力事件時可有效改善負載電力品質。另外，由於電力系統之動態特性，本文提出一智慧型控制法稱為模糊派翠類神經網路，藉由模糊推論可有效處理不確定資訊，再利用派翠網路之故障辨識能力搭配類神經網路的線上學習法則，最後結合雙二階廣義積分器，以此改善傳統比例積分控制器的應用於系統上的響應結果。
本文透過MATLAB SIMULINK模擬所提出之系統架構與控制法，並比較傳統PI控制與本文提出之模糊派翠類神經網路應用於本文系統上響應結果的差異。此外，利用OPAL-RT即時模擬器搭配數位訊號處理器所建構之之硬體迴圈測試環境，觀察智慧型控制法在即時響應結果上的差異，並進一步驗證本文系統之可行性。最後，由實驗結果證實本文提出之多功能功率調節系統能夠有效改善負載端之電力品質與穩定性。

摘要(英)

The main function of conventional Power Conditioning System(PCS) is to improve the Microgrid (MG) stability and load balance. This paper design a Multi-functional Power Conditioning System(MFPCS), it has not only the conventional power conditioning strategy, but also the voltage compensation function which can improve the power quality of load. Beside, because the dynamic characteristic of power system, this paper propose the intelligent controller called Fuzzy Neural Petri Net (FNPN), which can effectively processing uncertain situation by fuzzy inference, identify system fault with petri net and neural network online learning algorithm, combine the dual sequence order generalized integrator to improve system response control by the traditional Proportional Integral(PI) controller.
This paper use MATLAB SIMULINK simulate the proposed system construct and control method, compare response difference with PI and FNPN control. Beside, this paper also use HIL environment by OPAL-RT and digital signal processer to experiment real time response, verify system feasibility proposed in this paper. Finally, the experimental results confirm that the multi-functional power conditioning system proposed in this paper can effectively improve the power quality and stability of the load.

關鍵字(中)

★ 電力品質
★ 多功能控制
★ 功率調節系統
★ 模糊派翠類神經

關鍵字(英)

★ Power quality
★ Multi-Functional Control
★ Power Conditioning System
★ Fuzzy Neural Petri Net

論文目次

目錄
論文摘要 I
Abstract II
致謝 III
目錄 IV
圖目錄 VIII
表目錄 XIV
第一章緒論 1
1-1 研究動機與目的 1
1-2 文獻探討 1
1-3 論文大綱 3
第二章電力品質事件定義與現行規範 4
2-1 電壓驟降與驟升 4
2-2 電壓閃爍 6
2-3 電壓諧波汙染 8
2-4 三相電壓不平衡 10
2-5 電力中斷 12
第三章多功能功率調節系統架構與控制法 16
3-1系統簡介 16
3-2系統硬體架構 16
3-3多功能功率調節系統介紹 18
3-3-1功率調節系統 19
3-3-2電壓補償工作原理 19
3-3-3本文系統模式與工作原理 20
3-4補償策略 22
3-4-1驟降前補償(Pre-sag Compensation) 22
3-4-2同相位補償(In-phase Compensation) 24
3-4-3能量最小化補償(Energy Minimized Compensation) 25
3-5電壓相位偵測技術 26
3-5-1同步參考座標鎖相迴路 26
3-5-2電網電壓相序分析 28
3-5-3雙二階廣義積分鎖相法 30
3-6控制策略與方法 31
3-6-1直流鏈電壓控制 32
3-6-2功率調節模式控制 33
3-6-3電壓補償模式控制 34
3-6-4不斷電系統模式控制 36
3-6-5模式切換流程 37
3-7模糊派翠類神經網路 38
3-7-1模糊控制理論 39
3-7-2派翠網路 43
3-7-3模糊派翠類神經網路架構 44
3-7-4模糊派翠類神經網路之線上學習法則 48
第四章系統模擬與實驗結果 51
4-1本文系統模擬環境建置 51
4-2系統直流鏈電壓控制分析 52
4-3本文系統模式控制響應分析與比較 54
4-3-1功率調節模式控制 55
4-3-2 Case1三相電壓驟降 57
4-3-3 Case2三相電壓驟升 59
4-3-4 Case3三相電壓不平衡 62
4-3-5 Case4電壓閃爍 64
4-3-6 Case5電壓諧波汙染 67
4-3-7 Case6電源端電力中斷 70
第五章硬體迴圈架構及系統驗證結果 73
5-1硬體迴圈測試介紹 73
5-1-1即時模擬系統簡介 73
5-1-2 OP4510硬體 75
5-1-3 RT-LAB軟體 77
5-1-4數位訊號處理器 78
5-2硬體迴圈測試環境 79
5-3硬體迴圈驗證結果 82
5-3-1 Case1三相電壓驟降 83
5-3-2 Case2三相電壓驟升 87
5-3-3 Case3三相電壓不平衡 90
5-3-4 Case4電壓閃爍 93
5-3-5 Case5電壓諧波汙染 96
5-3-6 Case6電源端電力中斷 99
第六章結論與未來研究方向 102
6-1結論 102
6-2未來研究方向 102
參考文獻 104

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指導教授

陳正一

審核日期

2022-8-9

推文