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研究生:吳品毅
研究生(外文):Pin Yi Wu
論文名稱:結合智慧型電表之能源管理系統建置
論文名稱(外文):Implementation of Energy Management System with Smart Meters
指導教授:張文恭
指導教授(外文):Gary W. Chang
口試委員:張簡樂仁張文恭陳煥王宏魯陳正一
口試委員(外文):Le-Ren Chang-ChienGray W. ChangHuan ChenHung-Lu WangCheng-I Chen
口試日期:2011-07-15
學位類別:碩士
校院名稱:國立中正大學
系所名稱:電機工程研究所
學門:工程學門
學類:電資工程學類
論文種類:學術論文
論文出版年:2011
畢業學年度:99
語文別:英文
論文頁數:68
中文關鍵詞:能源管理系統
外文關鍵詞:Energy Management System
相關次數:
  • 被引用被引用:1
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智慧電網與微電網的概念是將供電端到用電端的所有設備透過感測器連接,形成綿密完整的用電網路,並對其中資訊加以整合分析,以達到電力資源的最佳配置,藉此降低成本、提升可靠性、提高用電效率。而微電網即是智慧電網的縮影,要如何監控與管理微電網裡各項分散式供電系統與負載使用情形勢必為往後電力事業提升能源使用率要探討的議題之ㄧ。
隨著智慧電網與微電網的發展,電力品質監控成為不可或缺的基礎功能。要實現監控電網之電力品質必須具備兩大要素,分別是末端擷取設備與能源管理系統。在末端擷取設備方面目前市場主流是使用搭載ZigBee天線之智慧電表將量測的用電資訊傳送至能源管理系統以提供使用者執行用電品質的監控與管理。
本論文目的在於開發一套能源管理系統監控遠端負載之用電資訊與電力品質狀況,並且結合LabVIEW與搭載ZigBee天線之智慧電表,以完成一整體性的用電行為模式。並配合擷取之用電資訊及LabVIEW相關界面設計,讓使用者以淺顯易懂的視覺化效果瞭解使用之電力品質、用電情況與用電歷史紀錄等資訊。

關鍵字: 智慧電網、微電網、電力品質監控、末端擷取設備、能源管理系統

The concept of smart grid and micro grid is to connect all the devices by sensors from suppliers to consumers, and then the information will be integrated and analyzed. As a result, the power research can be deployed effectively, and it could save energy, reduce costs, increase reliability and power efficiency. Micro grid is a small scale of smart grid. To monitor and control the loads and distributed energy resources in the micro grid, we will discuss issues of increasing the energy efficiency.
According to the development of smart grid and micro grid, maintaining good power quality is an essential function. There are two elements carrying out monitoring and controlling the power quality, such as the end device and energy management system. The end device is smart meter with ZigBee antenna in mainstream market. The information can be transmitted to energy management system for monitoring and controlling.
The purpose of the thesis is building an energy management system for monitoring and controlling remote loads’ power information and for observing power quality. For accomplishing a general power consumption behavior, the thesis integrates smart meter with ZigBee antenna into the system with LabVIEW. According to the received information, designing the interface allow users to immediately realize power quality, power condition, and power record.

Keywords: Smart Grid, Micro Grid, power quality monitor and control, end device, energy management system

ACKNOWLEDGMENTS I
中文摘要 II
ABSTRACT III
TABLE OF CONTENTS V
LIST OF FIGURE VIII
LIST OF TABLE X
I. INTRODUCTION 1
1.1 Overview 1
1.2 Organization of Thesis 2
II. OVERVIEW OF SMART GRID AND SMART HOME 4
2.1 Architecture of Smart Grid 5
2.2 Architecture of Smart Grid Communication 7
2.3 Architecture of Grid 12
2.1 Utility Systems 13
2.2 Mobile Device Manager Systems 18
2.3 Data Collection Systems 20
2.4 Wide Area Networks 20
2.5 Meter Specific Networks 21
2.6 Home Area Networks 21
2.4 Smart Home Energy Management System 21
III. DEVELOPMENT OF EMS WITH SMART METER 24
3.1 Review of ZigBee and IEEE 802.15.4 24
3.1.1 IEEE 802.15.4 Physical Layer 24
3.1.2 IEEE 802.15.4 Medium Access Control Layer 26
3.1.3 IEEE 802.15.4 Network Layer 30
3.2 Power Consumption Management System under LabVIEW 31
3.2.1 System Architecture of the Smart Meter 32
3.2.2 ZigBee Transmitting Structure 34
3.2.3 SAANET Appliance Control Protocol 37
3.2.4 Transmitted Structure of Combining ZigBee and SAANET 39
3.3 Integrating Smart Meter and EMS with LabVIEW 39
3.3.1 IEEE 754 Converter 40
3.3.2 Controlling the Switch of Remote Meter 43
IV. LOAD EXTRACTION WITH TIME OF USE RATES 44
4.1 Load Management with Time of Use Rates 44
4.2 Classification Different Load Types based on Measured Waveforms 45
4.2.1 Feature Extraction of ECG 45
4.2.2 Feature Extraction of Current 47
4.3 Classification of characteristics by Support Vector Machine 52
4.3.1 Support Vector Machine Conception 52
4.3.2 Preliminaries of Support Vector Machine 53
4.3.3 Load Classification 56
V. CASE STUDIES 57
5.1 System Architecture of Energy Management System 57
5.2 Case Studies 58
5.2.1 System Setting and User Context 58
5.2.2 Meter Information 60
5.2.3 Dynamic Waveform 60
5.2.4 Remote Meter Interface 61
5.2.5 Load Extraction with Time-of-Use Rates 62
VI. CONCLUSIONS AND FUTURE WORKS 65
6.1 Conclusions 65
6.2 Future Works 66
REFERENCES 67
VITA 69

[1]Interview with Massoud Amin, “Upgrading the grid,” Nature,vol. 454, pp. 570–573, 30 July 2008.
[2]Wayne-Longcore, Building the Smart Grid, Consumers Energy Company, http://www.ieee-pes.org/images/pdf/isgt2010/january_20_2010/5-buildingsg/IEEE-NIST-01-2010-Building-Smart-Grid-Consumers-Wayne-Longcore.pdf
[3]OSI Reference Model, Hubert Zimmermann, IEEE Transactions on Communications, Vol. COMM-28(4), p425, April 1980.
[4]Microsoft Corporation, “Architecture Guide for System Center Mobile Device Manager 2008 Service Pack 1”, 21 Nov. 2008.
[5]Erich W. Gunther, “An Overview of Smart Grid Standards” Feb. 2009.
[6]ZigBee Alliance, http://www.zigbee.org/
[7]IEEE 802 Working Group, “Standard for Part 15.4: Wireless Medium Access Control (MAC) and Physical Layer (PHY) Specifications for Low Rate Wireless Personal Area Networks (LR-WPANs)”, ANSI/IEEE 802.15.4, Oct. 2003.
[8]Sinem Coleri Ergen, “ZigBee/IEEE 802.15.4 Summary”, 10 Sep. 2004.
[9]IEEE 802 Working Group, “Standard for Part 15.1: Wireless medium access control (MAC) and physical layer (PHY) specifications for wireless personal area networks ( WPANs ),” ANSI/IEEE 802.15.4, Feb. 2005.
[10]Shang-Wen Luan, Jen-Hao Teng, Shun-Yu Chan, and Lain-Chyr Hwang, “Development of a Smart Power Meter for AMI Based on ZigBee Communication,” IEEE International Conference on Power Electronics and Drive Systems, Nov. 2009, pp. 661 – 665.
[11]XBee®/XBee-PRO® ZB OEM RF Modules, Digi International Inc., Minnetonka, June 2008.
[12]Smart Appliance Alliance Net home electrical control communication protocol, Industrial Technology Research Institute, Taiwan, 2008.
[13]IEEE recommended practice for Floating-Point Arithmetic, IEEE Std 754-2008, June 2008.
[14]Chen Ying-Hsiang, Subband Decomposition Methods for Electrocardiogram Beat Discrimination, Ph.D. dissertation, National Chung Cheng University, Taiwan, 2008.
[15]Nello Cristianini, and John Shawe-Tayer, An introduction to Support Vector Machines: and other kernel -based learning methods, vol. 2, Cambriage, 2000.
[16]Introduction of Support Vector Machine, http://www.cmlab.csie.ntu.edu.tw/~cyy/learning/tutorials/SVM3.pdf
[17]M. A. S. Masoum, P. S. Moses, and S. Deilami, “Load Management in Smart Grids Considering Harmonic Distortion and Transformer Derating,” Innovative Smart Grid Technologies (ISGT), 2010 Digital Object Identifier: 10.1109/ISGT.2010.5434738
[18]M. A. S. Masoum, P. S. Moses, and A. S. Masoum, “Derating of Asymmetric Three-Phase Transformers Serving Unbalanced Nonlinear Loads,” IEEE Trans. on Power Del., vol. 23, no. 4, pp. 2033–2041, 2008

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