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完整後設資料紀錄
DC 欄位 | 值 | 語言 |
---|---|---|
dc.contributor.advisor | 許源浴(Yuan-Yih Hsu) | |
dc.contributor.author | Yu-Chen Tseng | en |
dc.contributor.author | 曾郁宸 | zh_TW |
dc.date.accessioned | 2021-06-17T01:28:52Z | - |
dc.date.available | 2020-08-10 | |
dc.date.copyright | 2017-08-10 | |
dc.date.issued | 2017 | |
dc.date.submitted | 2017-08-05 | |
dc.identifier.citation | [1] 經濟部能源局。http://energymonthly.tier.org.tw/
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Mehta, “Vector Analysis and Control of Advanced Static VAR Compensators”, IEE Proc. Generation, Transmission and Distribution, vol. 140, no. 4, pp. 299-306, 1993. [19] R. Pena, J.C. Clare, and G.M. Asher, “Doubly Fed Induction Generator Using Back-to-Back PWM Converters and Its Application to Variable-Speed Wind-Energy Generation”, IEE Proc. Electric Power Applications, vol. 143, no. 5, pp.231-241, 1996. [20] A. Tapia, G. Tapia, J.X. Ostolaza, and J.R. Saenz, “Modeling and Control of a Wind Turbine Driven Doubly Fed Induction Generator”, IEEE Transactions on Energy Conversion, vol. 18, no. 2, pp. 194-204, 2003. [21] G. Pannell, D.J. Atlinson, and B. Zahawi, “Minimum-Threshold Crowbar for a Fault-Ride-Through Grid-Code-Compliant DFIG Wind Turbine”, IEEE Transactions on Energy Conversion, vol. 25, no. 3, pp. 750-759, 2010. [22] C. Abbey and G. Joos, “Effect of Low Voltage Ride Through (LVRT) Characteristic on Voltage Stability”, IEEE Power Engineering Society General Meeting, vol. 2, pp. 1901-1907, San Francisco, CA, USA, 2005. [23] 楊子毅,「利用閘切串聯電阻改善弱系統鼠籠式感應風力發電機之低電壓穿越能力」,臺灣大學電機所碩士論文,2014。 [24] A. Miller, E. Muljadi, and D.S. Zinger, “A Variable Speed Wind Turbine Power Control”, IEEE Transactions on Energy Conversion, vol. 12, no. 2, 1997. [25] M. Shahabi, M.R. Haghifam M. Mohamadian, and S.A. Nabavi-Niaki, “Microgrid Dynamic Performance Improvement Using a Doubly Fed Induction Wind Ggenerator”, IEEE Transactions on Energy Conversion, vol. 24, no.1, pp. 137-145, 2009. [26] G. Boyle, Renewable Energy, Oxford, Inc., 2004. [27] 翁永財,「應用於雙饋式感應發電之虛功率控制策略及轉子側電流控制器設計」,臺灣大學電機所博士論文,2015。 [28] N. Mohan, T.M. Undeland, and W.P. Robbins, Power Electrics, John Wiley and Sons, Inc., 2003. [29] 李龍安,「雙饋式感應風力發電機與配電系統之併聯運轉」,臺灣大學碩士論文,2010。 [30] 梁國堂,「靜態同步補償器控制器參數之設計」,臺灣大學電機所碩士論文,2008。 [31] C.H. Liu and Y.Y. Hsu, “Effect of Rotor Excitation Voltage on Steady-State Stability and Maximum Output Power of a Doubly-Fed Induction Generator”, IEEE Transactions on Industrial Electronics, vol. 58, no. 4, pp. 1096-1109, 2011. [32] C.M. Ong, Dynamic Simulation of Electric Machinery Using MATLAB/Simulink, Pearson Education Taiwan Ltd, 2005. [33] 簡于翔,「雙饋式感應風力發電機轉子側電流調節器參數之設計」,臺灣大學電機所碩士論文,2016。 [34] W.Y. Yang, W. Cao, T.S. Chung, and J. Morris, Applied Numerical Methods Using MATLAB○R, John Wiley and Sons, Inc., 2005. [35] K.J. Astrom and B. Wittenmark, Computer-Controlled Systems Theory and Design, Prentice-Hall International Inc., 1996. | |
dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/67351 | - |
dc.description.abstract | 本論文之主要目的在於利用粒子群優法設計雙饋式感應發電機之自調式實功率控制器。傳統比例積分控制器大多為固定參數,必須根據一個特定工作點進行設計,若系統運轉偏離工作點過多,可能使系統不穩定,為了解決此類棘手問題,本論文將功率控制模式結合粒子群優法應用於雙饋式感應發電機之轉子側轉換器之實功率控制器,基於比例積分控制器之架構達成可調控參數之目的,稱之為自調式實功率控制器,並提出預測實功率演算法快速預測發電機實功率響應,利用即時系統動態參數配合朗吉庫達法求其數值解,進而計算目標函數作為判斷最佳化控制器參數之指標,達成即時優化實功率控制器參數。
本論文以MATLAB○R/Simulink數學模擬軟體建立併網之雙饋式感應發電機模型。研究結果顯示,雙饋式感應發電機遇風速變動與三相短路故障時,自調式實功率控制器相對於固定增益比例積分控制器能改善動態響應之過衝情形與縮短響應時間。 | zh_TW |
dc.description.abstract | The main purpose of this thesis is to design a self-tuning power controller for a doubly fed induction generator (DFIG) using particle swarm optimization (PSO). In conventional power controller, the gains of the proportional-integral (PI) controller remain fixed and must be designed based on a particular operating point. The system may become unstable if the system is operated too far away from the nominal point used to design the gains of the PI controller. In order to avoid these undesirable situations, a self-tuning power controller with the PI controller gains adapted in real-time using PSO is proposed. An efficient formula based on Runge-Kutta method is derived to predict real-time system dynamic parameters which are essential to the evaluation of the objective function and the adaption of the PI controller parameters in real-time.
The MATLAB○R/Simulink simulation software is employed to develop the grid-connected DFIG model. The simulation results for DFIG in transient period of wind speed change and three phase ground fault are presented. It is concluded from the dynamic responses that the proposed self-tuning power controller can offer faster dynamic response with less overshoot than the fixed-gain PI controller. | en |
dc.description.provenance | Made available in DSpace on 2021-06-17T01:28:52Z (GMT). No. of bitstreams: 1 ntu-106-R04921025-1.pdf: 5618395 bytes, checksum: f374cb0e01613d71be4c767271521cea (MD5) Previous issue date: 2017 | en |
dc.description.tableofcontents | 口試委員會審定書 i
誌謝 ii 摘要 iii Abstract iv 第一章 緒論 1 1.1研究背景 1 1.2文獻回顧 3 1.3研究目的與方法 6 1.4論文內容概述 6 第二章 風力發電簡介 8 2.1前言 8 2.2風力渦輪機之原理與特性 9 2.3最大功率追蹤 13 第三章 雙饋式感應發電機 15 3.1前言 15 3.2系統側轉換器分析 16 3.2.1脈波頻寬調變技術 16 3.2.2同步旋轉座標轉換法 20 3.2.3系統側轉換之數學模型建立 22 3.2.4系統側轉換器控制方塊圖 23 3.3轉子側轉換器分析 26 3.3.1電流控制器(內部控制迴圈)設計 27 3.3.2功率控制器(外部控制迴圈)設計 35 第四章 粒子群優法自調式實功率控制器之設計 39 4.1前言 39 4.2微分方程式 40 4.2.1狀態空間模型離散化求解 40 4.2.2朗吉庫達法 41 4.2.3選用方法 41 4.3粒子群優法 42 4.3.1粒子參數設定 44 4.3.2目標函數 44 4.4預測實功率動態響應及評估控制器參數 46 4.5粒子群優法自調式實功率控制器之應用 53 4.6粒子群優法自調式實功率控制器調整參數流程 54 第五章 模擬結果與分析 61 5.1前言 61 5.2模擬架構 61 5.3風速變動 64 5.4三相短路電壓故障 69 5.4.1固定增益比例積分器之完整動態響應(以故障電壓0.7標么為例) 69 5.4.2故障電壓0.7標么 73 5.4.3故障電壓0.5標么 77 5.4.4故障電壓0.3標么 81 第六章 結論與未來研究方向 85 6.1結論 85 6.2未來研究方向 87 參考文獻 88 | |
dc.language.iso | zh-TW | |
dc.title | 應用粒子群優法設計雙饋式感應發電機之自調式實功率控制器 | zh_TW |
dc.title | Design of a Self-Tuning Power Controller for Doubly Fed Induction Generator Using Particle Swarm Optimization | en |
dc.type | Thesis | |
dc.date.schoolyear | 105-2 | |
dc.description.degree | 碩士 | |
dc.contributor.oralexamcommittee | 楊金石,張忠良,廖聰明,翁永財 | |
dc.subject.keyword | 雙饋式感應發電機,最大功率追蹤,功率控制模式,粒子群優法,自調式實功率控制器,轉子側轉換器, | zh_TW |
dc.subject.keyword | doubly fed induction generator,maximum power point tracking,power-mode control,particle swarm optimization,rotor-side converter, | en |
dc.relation.page | 90 | |
dc.identifier.doi | 10.6342/NTU201702636 | |
dc.rights.note | 有償授權 | |
dc.date.accepted | 2017-08-07 | |
dc.contributor.author-college | 電機資訊學院 | zh_TW |
dc.contributor.author-dept | 電機工程學研究所 | zh_TW |
顯示於系所單位: | 電機工程學系 |
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