博碩士論文 105553030 詳細資訊




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姓名 ?永均(Yung-Chun Wen)  查詢紙本館藏   畢業系所 通訊工程學系在職專班
論文名稱 結合物聯網技術之HEMS以樹莓派開發平台為實例
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摘要(中) 我國能源短缺,政府提出蓋電廠方案增加電力來源,而另一種方案「需量反應」是反其道而行,透過節電技術讓電力需求降低,緩解電荒的問題。需量概念亦可導入屬電力網末梢的家庭能源管理系統(HEMS),其透過物聯網與電表、智能家電互相溝通,針對家電的用電需量進行預測分析,電力業者可使用物聯網通訊技術即時傳送目標需量給HEMS,使HEMS對家電的用電需量做控制,達到削減尖峰用電及節省家庭消耗電力的目的。
本論文提出一套結合物聯網技術之家庭能源管理系統,其設計整合家用閘道器、ZigBee無線傳輸、電表和智能家電進而形成一小型家庭物聯網環境,同時本系統也導入異質網路共構的概念,使不同性質的網路可以互相溝通。基於上述系統設計與實作,本論文探討HEMS使用需量預測和智能家電回報需量用量的差異性及優缺點,並透過實作需量控制機制和能源數據可視化平台,於電力業者實施限電時也能以最小用電需量維持家電運作,避免不必要的停電措施,也可以改善使用傳統卸載停電的缺點。
摘要(英) In Taiwan, we have faced the lack of energy for a long time in recent decades. To solve this problem, the government has proposed the plan to build more power plants. On the other hand, there is another solution based on the development of the “Demand Response” technology. This technology can support a distributed system that aims to reduce the use of electricity by energy-saving facilities to alleviate the danger of power shortage. The concept of demand has been implemented into industrial power systems —the Home Energy Management System (HEMS). HEMS measures and analyzes the status of home appliances’ energy usage in a house. HEMS uses wired/wires network communications to transmit power consumption information. In order to obtain reference data for optimizing power consumption more efficiently, HEMS uses Internet of Things technologies to provide power information feedback to electric power industry as well as to monitor and control the unloading of power plants more precisely. By deploying HEMS in general users’ home space, the goal of reducing power spikes can be achieved after the collective efforts contributed by all smart-energy houses with HEMS.
This thesis proposes an IoT-based HEMS. The design of this system contains several functional devices, including home gateway, ZigBee communication, power meter, and home appliances, thereby forming a small-scaled HEMS environment in smart home space. Based on the proposed system design and implementation, our study in this thesis conducts practical testing and verification. Our study efforts can meet the requirements of home appliance management, mutual communications between home appliances, and unloading control mechanisms, along with the analysis of power usage. Therefore, at peak hours, we can operate various home appliances to stay in minimum energy demand, avoid unnecessary power outages, solve unsatisfactory power consumption, and decrease economic losses. Besides, a friendly energy visualization platform is combined to ease users’ understanding of energy usage and energy conservation.
關鍵字(中) ★ 需量反應
★ 物聯網
★ 家庭能源管理系統
關鍵字(英) ★ HEMS
★ Internet of Things
★ MQTT
★ Demand Response
★ ZigBee
論文目次 中文摘要 i
Abstract ii
誌 謝 iii
目 錄 iv
一、緒論 1
1-1 研究背景與動機 1
1-2 研究目的 1
1-3 章節概要 1
二、相關背景研究 2
2-1 HEMS 2
2-2 需量反應 2
2-3 MQTT 3
2-4 Node-RED 4
2-5 IEEE 802.15.4標準 4
2-6 ZigBee網路 5
2-7 智能家電 6
三、HEMS平台設計 8
3-1 HEMS應用層 8
3-1-1斜率法需量預測 9
3-1-2 目標需量設定 9
3-1-3 需量控制系統 10
3-2 M2M通訊層 11
3-3 交流電表應用層 12
3-4 智能家電應用層 12
四、實作與實驗結果 13
4-1硬體實作 13
4-1-1 XBee無線網路設定 13
4-1-2 HEMS配置 13
4-1-3 電表配置 14
4-1-4 智能家電配置 15
4-2 軟體實作 16
4-2-1 需量參數設定 16
4-2-2 ZigBee傳送與接收 17
4-2-3 需量預測與控制 22
4-2-4 MQTT 傳送與接收 26
4-2-5 HEMS人機介面 28
4-3 HEMS效能實測分析 29
4-3-1 HEMS對照組 30
4-3-2 HEMS實驗組 33
五、結論與未來方向 38
5-1 結論 38
5-2 未來方向 38
參考文獻 40
附錄一 41
附錄二 41
參考文獻 [1] Khan, Aftab Ahmed Razzaq, Sohail Khan, Asadullah Khursheed, Fatima Owais, “HEMSs and Enabled Demand Response in Electricity Market: An Overview,” Renewable and Sustainable Energy Reviews, vol. 42, pp 773-785, 2015.
[2] Qusay F. Hassan, “Introduction to the Internet of Things,” Wiley-IEEE Press, 2018.
[3] The Raspberry Pi Foundation, Raspberry Pi [Online]. Available: https://www.raspberrypi.org/about.
[4] OASIS. MQTT [Online]. Available: http://mqtt.org.
[5] Andrew Wheeler, “Commercial Applications of Wireless Sensor Networks Using ZigBee,” IEEE Communications Magazine, vol. 45, issue. 4, pp. 70-77, April 2007.
[6] Markandeshwar Jerabandi, Mallikarjun M Kodabagi, “A Review on Home Automation System,” 2017 International Conference On Smart Technologies For Smart Nation (SmartTechCon), Bangalore, India, August 2017.
[7] Yaw-Wen Kuo , et al, “ Design of a Wireless Sensor Network-Based IoT Platform for Wide Area and Heterogeneous Applications,” IEEE Sensors Journal, vol. 18, June 2018.
[8] V C Jishnu Sankar , et al, “Integration of Demand Response with Prioritized Load Optimization for Multiple Homes”, 2017 International Conference on Technological Advancements in Power and Energy ( TAP Energy), pp. 21-23, 2017.
[9] Milica Leki?; Gordana Garda?evi?, “ IoT Sensor Integration to Node-RED Platform”, 17th International Symposium INFOTEH-JAHORINA (INFOTECH), March 2018.
[10] Olivier Hersent, et al, IEEE 802.15.4, Wiley Telecom, pp. 376, 2012.
[11] ECHONET Consortium..ECHONET Lite (2018, Jan 10) [Online]. Available:
https://echonet.jp.
[12] European Commission. (2018, Jan 20) ENERinTOWN [Online].
Available:https://ec.europa.eu/energy/intelligent.projects/en/projects/enerintown.
[13] 台灣智慧能源產業協會.(2018, Jan 20) TaiSEIA [Online].Available:http://www.taiseia.org.tw.
[14] 經濟部能源局,「電能管理與需量控制Q&A節能技術手冊」,再版,經財團法人台灣綠色生產力基金會,民國105年9月。
[15] Digi International Inc. (2018, Feb 2)XBee、ZigBee、XCTU [Online]. Available:https://www.digi.com.
[16] Tom Marrs, JSON at Work: Practical Data Integration for the Web,O′Reilly Media,2017.
[17] Peacefair. (2018, Feb 2) PZEM004T [Online]. Available:https://github.com/olehs/ PZEM004T.
[18] 經濟部能源局電力組,「低壓智慧電表推動規劃 (智慧電網推動) 電力小組 能源轉型白皮書重點推動方案」,經濟部能源局,民國106年11月。
[19] S. Veleva and D. Davcev, “Data Mining as an Enabling Tech nology for home energy management system,” in Proc. IEEE Int. Conf. Innovative Smart Grid Technologies, Jan. 2012.
指導教授 胡誌麟 審核日期 2018-8-22
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