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  1. NTU Theses and Dissertations Repository
  2. 生物資源暨農學院
  3. 生物機電工程學系
請用此 Handle URI 來引用此文件: http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/7873
完整後設資料紀錄
DC 欄位值語言
dc.contributor.advisor周呈霙(Cheng-Ying Chou)
dc.contributor.authorMeng-Fu Chenen
dc.contributor.author陳孟甫zh_TW
dc.date.accessioned2021-05-19T17:56:48Z-
dc.date.available2024-08-21
dc.date.available2021-05-19T17:56:48Z-
dc.date.copyright2019-08-21
dc.date.issued2019
dc.date.submitted2019-08-19
dc.identifier.citation江榮城。2007。電力品質,臺北:全華圖書出版社。
呂榮基,江瑞利,黃厚生,蘇俊連,殷世安譯。2005。電力系統品質。臺北:美商麥格羅‧希爾國際股份有限公司。
Begovic, M. M., Djuric, P. M., Dunlap, S., and Phadke, A. G. 1993. Frequency tracking in power networks in the presence of harmonics. IEEE Transactions on Power Delivery, 8(2): 480-486.
Bollen, M. H. 2000. Understanding power quality problems. In 'Voltage sags and Interruptions'. New York: IEEE press.
Bonner, A., Grebe, T., Gunther, E., Hopkins, L., Mahseredjian, J., Miller, N., Ortmeyer, T., Rajagopalan, V., Ranade, S., and Ribeiro, P. 1996. Modeling and simulation of the propagation of harmonics in electric power networks. 2. sample systems and examples. IEEE Transactions on Power Delivery, 11(1): 466-474.
Brito, N., Souza, B., and Pires, F. 1998. Daubechies wavelets in quality of electrical power. 8th International Conference on Harmonics and Quality of Power. Proceedings (Cat. No. 98EX227), Athens, Greece.
Chen, Y. C., and Lan, J. K. 2014. Implementation of power measurement system with Fourier series and zero-crossing algorithm. 2014 International Symposium on Computer, Consumer and Control, Taichung, Taiwan.
Cooley, J. W., and Tukey, J. W. 1965. An algorithm for the machine calculation of complex Fourier series. Mathematics of computation, 19(90): 297-301.
Cristaldi, L., and Ferrero, A. 1995. A method and related digital instrument for the measurement of the electric power quality. IEEE Transactions on Power Delivery, 10(3): 1183-1189.
Dash, P., Panigrahi, B., and Panda, G. 2003. Power quality analysis using S-transform. IEEE Transactions on Power Delivery, 18(2): 406-411.
Daubechies, I. 1990. The wavelet transform, time-frequency localization and signal analysis. IEEE transactions on information theory, 36(5): 961-1005.
Douglas, J. 1993. Solving problems of power quality. EPRI journal, 18(8): 6-16.
Gray, W., and Haydock, F. 1995. Industrial power quality considerations when installing adjustable speed drive systems. 1995 IEEE Cement Industry Technical Conference. 37th Conference Record, San Juan, Puerto Rico, USA.
Huang, Z., Zhu, T., Lu, H., and Gao, W. 2016. Accurate power quality monitoring in microgrids. 2016 15th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN), Vienna, Austria.
IEEE Std 519-1992. 1993. IEEE Recommended Practices and Requirements for Harmonic Control in Electrical Power Systems.
IEEE Std 1159-2009 2009. IEEE Recommended Practice for Monitoring Electric Power Quality.
Jurado, F., and Saenz, J. R. 2002. Comparison between discrete STFT and wavelets for the analysis of power quality events. Electric Power Systems Research, 62(3): 183-190.
Kazibwe, W. E., Ringlee, R. J., Woodzell, G. W., and Sendaula, H. M. 1990. Power quality: a review. IEEE Computer Applications in power, 3(1): 39-42.
Koval, D. O., and Carter, C. 1997. Power quality characteristics of computer loads. IEEE Transactions on Industry Applications, 33(3): 613-621.
Lang, M., Guo, H., Odegard, J. E., Burrus, C. S., and Wells, R. O. 1996. Noise reduction using an undecimated discrete wavelet transform. IEEE Signal Processing Letters, 3(1): 10-12.
Lee, J.-S., Su, Y.-W., and Shen, C.-C. 2007. A comparative study of wireless protocols: Bluetooth, UWB, ZigBee, and Wi-Fi. Industrial electronics society, 5: 46-51.
Lentz, R. C., Mercede, F. J., and Mercede, J. 1995. A student design project to improve power quality for a commercial facility. IEEE transactions on power systems, 10(1): 3-10.
Mog, G. E., and Ribeiro, E. P. 2004. Zero crossing determination by linear interpolation of sampled sinusoidal signals. 2004 IEEE/PES Transmision and Distribution Conference and Exposition: Latin America (IEEE Cat. No. 04EX956), Sao Paulo, Brazil.
Morales-Velazquez, L., de Jesus Romero-Troncoso, R., Herrera-Ruiz, G., Morinigo-Sotelo, D., and Osornio-Rios, R. A. 2017. Smart sensor network for power quality monitoring in electrical installations. Measurement, 103: 133-142.
Naidoo, R., and Pillay, P. 2007. A new method of voltage sag and swell detection. IEEE Transactions on Power Delivery, 22(2): 1056-1063.
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Reid, W. E. 1996. Power quality issues-standards and guidelines. IEEE Transactions on Industry Applications, 32(3): 625-632.
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Song, Y., Yuan, F., Chenlong, G., and Naibao, H. 2011. Design of electric power parameter monitoring system based on dsp and cpld. 2011 Fourth International Conference on Intelligent Computation Technology and Automation, Shenzhen, Guangdong, China.
Zhang, M., and Li, K. 2009. A power quality monitoring system over the internet. 2009 First International Conference on Information Science and Engineering, Nanjing, China.
dc.identifier.urihttp://tdr.lib.ntu.edu.tw/jspui/handle/123456789/7873-
dc.description.abstract近年來,隨著高科技產業蓬勃發展,越來越多精密儀器被使用在生產線上,而這些儀器對於電力的敏感度也較高,稍微不良的電力品質即可能造成運作停止,使得供電環境要求比以往要來的嚴格許多。電力品質包含了電力系統中的電壓穩定度,輸出電流波形及頻率的正常性程度。而電力品質的優劣亦會影響到這些精密設備的耗電率及壽命,因此電力公司提供給用戶端的電力品質就顯得十分重要。有別於過去人們經常要攜帶大型感測儀器到設備現場才能對設備進行量測,以得到設備資訊。本論文提出一個主要針對短時間內的電壓變動以及異常波電壓事件進行辨識與偵測的即時電力品質監測系統,透過物聯網技術,架設可量測設備電力品質之感測節點,經由感測器量測電力設備輸出電壓及電流波形,再將量測訊號進行快速傅立葉分析以及離散小波轉換,與市售儀器之量測結果做一比較。另外,經由事件門檻值的設定,當量測設備偵測到不良之電力品質事件後,將透過閘道器將事件做初步分類,再將訊息轉傳至網路上再發出警報,以便做設備的維護及事件紀錄。zh_TW
dc.description.abstractIn recent years, with the rapid development of high-tech industries, more and more precision instruments are used in the production line, and these instruments are also more sensitive to electricity. Slightly poor power quality may cause the operation to stop. Therefore, the environmental requirements for power supply are much stricter than ever. Power quality issues may include the stability of the voltage, and the normality of the output current waveform and frequency in the power system. The quality of power quality will also affect the power consumption and life of these precision equipment. Therefore, the power quality provided by a power company to the customer is very important. In the past, people often had to carry large-scale sensing instruments to the site to obtain the information of a power generation device, which was very inconvenient. This study therefore proposes a real-time power quality monitoring system that identifies and detects short-term voltage fluctuations and irregular harmonic voltage events. Using the Internet of Things technology, a sensing node capable of measuring the power quality is developed, and the output voltage and current waveform of the power generation device are measured by the sensor. The measuring signal is subjected to the Fast Fourier analysis and discrete wavelet transform. Finally, the analysis results are compared with the measurements of commercially available instruments. In addition, after the proposed sensor detects a bad power quality event, the event will be classified by a gateway, and then the message will be transmitted to the network and then an alarm will be issued, so users can easily maintain power equipment and record the events.en
dc.description.provenanceMade available in DSpace on 2021-05-19T17:56:48Z (GMT). No. of bitstreams: 1
ntu-108-R06631048-1.pdf: 6286689 bytes, checksum: d689facc756d836469cb7b2acf6dfb49 (MD5)
Previous issue date: 2019
en
dc.description.tableofcontents致謝 i
中文摘要 v
Abstract vi
Table of Content viii
List of Figures xi
List of Tables xv
Chapter 1 Introduction 1
1.1 Background 1
1.2 Motivation and Purpose 3
1.3 Structure of the Thesis 4
Chapter 2 Literature Review 7
2.1 Introduction of Power Quality 7
2.2 Event Types of Power Quality 8
2.2.1 Voltage Swell 10
2.2.2 Voltage Sag 11
2.2.3 Voltage Interruption 12
2.2.4 Harmonic 13
2.3 Different Power Quality Monitoring Methods 18
2.3.2 An Internet -Based Power Quality Monitoring System 21
2.3.3 Dual Core Sensing System 22
2.3.4 Power Quality Monitoring over Smartphones 24
2.3.5 A Smart Meter Composed of FPGA and Bluetooth 25
2.4 Algorithms for Analyzing Power Quality Events 27
Chapter 3 Method 31
3.1 Poor Power Quality Event Detection 31
3.1.1 Irregular Voltage Events 32
3.1.2 Irregular Harmonic Event 34
3.2 Fast Fourier Transform 34
3.2.1 DIT of FFT 36
3.2.2 DIF of FFT 38
3.2.3 Limitations and Effects of FFT 40
3.3 Wavelet Transform 42
3.4 Power Quality Monitoring System 48
3.5 Network Time Protocol (NTP) 58
Chapter 4 Results and Discussion 59
4.1 Relay Testing System 59
4.2 System Verification 61
4.3 Verify the System with Poor Power Quality Events 65
4.3.1 Voltage Swell 65
4.3.2 Voltage Sag 68
4.3.3 Voltage Interruption 71
4.3.4 Harmonics 74
4.3.5 Spectrogram of Poor Power Quality Event 79
4.4 Field Experiment 84
4.4.1 Transmission and Receiving Rate of Wireless Transmission 84
4.4.2 Power Quality Event Classification 86
Chapter 5 Conclusions and Future work 93
References 95
dc.language.isoen
dc.title基於物聯網之電力品質監測平台的開發zh_TW
dc.titleDevelopment an IoT-Based Power Quality Monitoring Platformen
dc.typeThesis
dc.date.schoolyear107-2
dc.description.degree碩士
dc.contributor.coadvisor江昭皚(Joe-Air Jiang)
dc.contributor.oralexamcommittee蕭瑛東(Ying-Tung Hsiao),李建興(Chien-Hsing Lee),吳立成(Li-Cheng Wu)
dc.subject.keyword電力品質,物聯網,快速傅立葉,離散小波轉換,設備品質,zh_TW
dc.subject.keywordPower quality,Internet-of-Things,Fast Fourier transform,Discrete wavelet transform,Equipment quality,en
dc.relation.page97
dc.identifier.doi10.6342/NTU201904051
dc.rights.note同意授權(全球公開)
dc.date.accepted2019-08-20
dc.contributor.author-college生物資源暨農學院zh_TW
dc.contributor.author-dept生物產業機電工程學研究所zh_TW
dc.date.embargo-lift2024-08-21-
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