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| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.advisor | 劉志文 | |
| dc.contributor.author | Guan-Lin Chen | en |
| dc.contributor.author | 陳冠霖 | zh_TW |
| dc.date.accessioned | 2021-06-08T01:16:29Z | - |
| dc.date.copyright | 2014-08-17 | |
| dc.date.issued | 2014 | |
| dc.date.submitted | 2014-08-13 | |
| dc.identifier.citation | . [1] Prabha Kundur. Power System Stability and Control, volume 7.
. [2] Zhian Zhong, Chunchun Xu, B.J. Billian, Li Zhang, S.S. Tsai, R.W. Conners, V.A. Centeno, A.G. Phadke, and Yilu Liu. Power System Frequency Monitoring Network (FNET) Implementation. IEEE Transactions on Power System, 20(4):1914--1921, Nov 2005. . [3] http://fnetpublic.utk.edu/tabledisplay.html. . [4] http://fnetpublic.utk.edu/gradientmap.html. . [5] A.G. Phadke and J.S. Thorp. History and Applications of Phasor Measurements. In Power Systems Conference and Exposition, pages 331--335, Oct 2006. . [6] Tao Xia, Hengxu Zhang, R. Gardner, J. Bank, Jingyuan Dong, Jian Zuo, Yilu Liu, L. Beard, Peter Hirsch, Guorui Zhang, and R. Dong. Wide-area Frequency Based Event Location Estimation. In IEEE Power Engineering Society General Meeting, pages 1--7, June 2007. . [7] R.M.Gardner,J.K.Wang,andYiluLiu.PowerSystemEventLocationAnalysisUs- ing Wide-area Measurements. In IEEE Power Engineering Society General Meeting, 2006. . [8] LeiWang,J.Burgett,JianZuo,ChunChunXu,B.J.Billian,R.W.Conners,andYilu Liu. Frequency Disturbance Recorder Design and Developments. In IEEE Power Engineering Society General Meeting, June 2007. 59 . [9] Shu-JenTsai,LiZhang,ArunGPhadke,YiluLiu,MichaelRIngram,SandraCBell, Ian S Grant, Dale T Bradshaw, David Lubkeman, and Le Tang. Frequency sensitivity and electromechanical propagation simulation study in large power systems. IEEE Transactions on Circuits and Systems I: Regular Papers, 54(8):1819--1828, 2007. . [10] Arun G Phadke and John Samuel Thorp. Synchronized Phasor Measurements and their Applications. Springer, 2008. . [11] Wei Wang, Li He, P. Markham, Hairong Qi, and Yilu Liu. Detection, Recognition, and Localization of Multiple Attacks through Event Unmixing. In IEEE Interna- tional Conference on Smart Grid Communications, pages 73--78, Oct 2013. . [12] GangZheng,YiluLiu,andG.Radman.WideAreaFrequencyBasedGenerationTrip Event Location Estimation. In IEEE Power and Energy Society General Meeting, pages 1--6, July 2012. . [13] Zhenzhi Lin, Tao Xia, Yanzhu Ye, Ye Zhang, Lang Chen, Yilu Liu, K. Tomsovic, T. Bilke, and Fushuan Wen. Application of Wide Area Measurement Systems to Islanding Detection of Bulk Power Systems. IEEE Transactions on Power Systems, 28(2):2006--2015, May 2013. . [14] Jun-Zhe Yang and Chih-Wen Liu. A precise calculation of power system frequency and phasor. IEEE Transactions on Power Delivery, 15(2):494--499, 2000. . [15] JianMa,YuriVMakarov,RuishengDiao,PavelVEtingov,JeffEDagle,andEnrico De Tuglie. The characteristic ellipsoid methodology and its application in power systems. IEEE Transactions on Power Systems, 27(4):2206--2214, 2012. . [16] Jaime De La Ree, Yilu Liu, Lamine Mili, Arun G Phadke, and Luiz Dasilva. Catas- trophic failures in power systems: causes, analyses, and countermeasures. Proceed- ings of the IEEE, 93(5):956--964, 2005. . [17] BinQiu,LingChen,VCenteno,XuzhuDong,andYiluLiu.Internetbasedfrequency monitoring network (FNET). In IEEE Power Engineering Society Winter Meeting, volume 3, pages 1166--1171. IEEE, 2001. . [18] JingyuanDong,JianZuo,LeiWang,KyungSooKook,Il-YopChung,YiluLiu,San- dra Affare, Bruce Rogers, and Michael Ingram. Analysis of power system distur- bances based on wide-area frequency measurements. In Power Engineering Society General Meeting, pages 1--8. IEEE, 2007. . [19] Yingchen Zhang, Penn Markham, Tao Xia, Lang Chen, Yanzhu Ye, Zhongyu Wu, Zhiyong Yuan, Lei Wang, Jason Bank, Jon Burgett, et al. Wide-area frequency mon- itoring network (fnet) architecture and applications. IEEE Transactions on Smart Grid, 1(2):159--167, 2010. [20] Zhian Zhong. Power systems frequency dynamic monitoring system design and ap- plications. PhD thesis, Virginia Polytechnic Institute and State University, 2005. | |
| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/18639 | - |
| dc.description.abstract | 隨著現代化電力系統的發展以及智慧電網的需求,從電力系統中蒐 集資訊去改善電力系統穩定度跟可靠度越來越重要,而廣域量測系統 (Wide Area Measurement System) 是智慧電網中蒐集資料的基礎系統, 廣域量測系統指的是由先進的量測技術以及資通訊工具和基礎建設 所組合成的系統,可以增進我們對於大型電力系統日益複雜行為的了 解。而同步相量量測單元 (Phasor Measurement Unit) 是在廣域量測系統 中所使用的資料擷取裝置,而頻率擾動記錄器 (Frequency Disturbance Recorder) 是相量量測單元的其中一種,頻率擾動記錄器是一具有 GPS 信號同步的單相相量量測單元,可安裝於一般 110 伏特的低壓側的插 座中,此外,頻率擾動記錄器提供 TCP/IP 協定的功能,可用於傳輸量 測資料。根據同步發電機的 Swing Equation,電力系統頻率為代表系統 中的供給能量與負載能量平衡的一個重要指標,因此頻率為廣域量測 系統的主要蒐集資料。本研究的目的為希望在台灣的電力系統中利用 頻率擾動記錄器建構出廣域量測系統,包涵 socket 伺服器與提供資料 視覺化的監控平台網站去幫助系統營運人員即時監控系統中不同地區 的頻率,更進階的利用歷史資料進行分析並研發演算法進行動態事件 偵測以及定位的應用。 | zh_TW |
| dc.description.abstract | With the development of the modernized power system and the requirement of the smart grid, gathering information from the power system is getting more and more important for improving the reliability and stability in power system. And a wide area measurement system (WAMS) is the fundamental system of smart grid to gather information. A WAMS mentions that a system which consists of advanced measurement technology, information tools, and operational infrastructure that facilitate the understanding and management of the increasingly complex behavior exhibited by large power systems. A synchronized phasor measurement units (PMU) is a data acquisition device utilized in wide area measurement systems. One type of PMU is known as Frequency Disturbance Recorder (FDR). An FDR is a GPS-synchronized single-phase PMU which is installed at ordinary 110V outlets. An FDR also provides an TCP/IP protocol to transmit the measured data in real time through the internet.
According to the swing equation of synchronized generator, the frequency in power system is an important index to estimate the balance of supplying power and loading power in the grid. Therefore, the information of frequencies is the major data collected by the WAMS. The goal of this research is trying to implement wide area measurement system by FDRs in the power system in Taiwan. The system contains a socket server and a website for data visualization to help operators to monitor the frequencies in the different locations of the grid. The further application is developing an algorithm for event detection and event location estimation in power system by analyzing the historical data. | en |
| dc.description.provenance | Made available in DSpace on 2021-06-08T01:16:29Z (GMT). No. of bitstreams: 1 ntu-103-R01921023-1.pdf: 17603944 bytes, checksum: 601d1b42dd276cba33d5be4a669b41c9 (MD5) Previous issue date: 2014 | en |
| dc.description.tableofcontents | 致謝 i
中文摘要 ii Abstract iii Contents v List of Figures viii List of Tables xiii 1 Introduction 1 1.1 General Background Information...................... 1 1.2 Research Purpose and Contribution..................... 2 1.3 Literature Review.............................. 2 1.3.1 Swing Equation........................... 2 1.3.2 FNET System Architecture..................... 5 1.3.3 Frequency Disturbance Recorder in FNET. . . . . . . . . . . . . 5 1.3.4 Event Detection and Location ................... 7 2 Wide Area Measurement System Platform Architecture and Implementation 10 2.1 Overview of System Architecture ..................... 10 2.2 Measurement Part.............................. 11 2.3 Collection Part ............................... 12 2.3.1 Introduction............................. 12 2.3.2 Socket Server............................ 13 2.3.3 MySQL Database.......................... 14 2.4 Visualization Part .............................. 15 2.5 Summary .................................. 17 3 Abnormal Event Detection in Power System 22 3.1 Introduction to Abnormal Event Detection . . . . . . . . . . . . . . . . . 22 3.2 Mining Abnormal Frequency in Database ................. 22 3.3 Frequency Standard Deviation Index.................... 24 3.4 Moving Average Method for Noise Reduction . . . . . . . . . . . . . . . 28 3.5 The Threshold Estimation.......................... 35 3.6 Summary .................................. 41 4 Event Location Estimation 43 4.1 Introduction to Event Location Estimation . . . . . . . . . . . . . . . . . 43 4.2 Quantinize the Mismatch Index of each Location . . . . . . . . . . . . 43 4.3 Summary .................................. 56 5 Conclusion and Future Research 57 5.1 Conclusion ................................. 57 5.2 Future Work................................. 57 5.2.1 More FDRs Installation....................... 57 5.2.2 Enhance the System Architecture ................. 58 5.2.3 Consider the Topology in Event Location . . . . . . . . . . . . . 58 Bibliography 59 A Software and Library used in this Research 62 A.1 Back-end Server Side............................ 62 A.1.1 Apache HTTP Server......................... 62 A.1.2 MySQL............................... 62 vi A.1.3 Twisted Network Engine...................... 63 A.2 Front-end Client Side............................ 63 A.2.1 Google Map API .......................... 63 A.2.2 Hichart Javascript Library ..................... 63 A.2.3 Bootstrap Framework........................ 64 A.3 Data Analysis................................ 64 A.3.1 R .................................. 64 | |
| dc.language.iso | en | |
| dc.title | 電力系統廣域量測系統建置與故障事件偵測應用 | zh_TW |
| dc.title | Wide Area Measurement System Construction in Power System and Event Detection Application | en |
| dc.type | Thesis | |
| dc.date.schoolyear | 102-2 | |
| dc.description.degree | 碩士 | |
| dc.contributor.oralexamcommittee | 周一婷,楊俊哲,鄧人豪 | |
| dc.subject.keyword | 廣域量測系統,頻率擾定記錄器,事件偵測,事件定位, | zh_TW |
| dc.subject.keyword | WAMS,FDR,event detection,event location, | en |
| dc.relation.page | 64 | |
| dc.rights.note | 未授權 | |
| dc.date.accepted | 2014-08-13 | |
| 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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