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系統識別號 U0026-2308201315352900
論文名稱(中文) 智慧電網電力需求回應之模擬探討
論文名稱(英文) Simulation for the Demand Response program in Smart Grid
校院名稱 成功大學
系所名稱(中) 電腦與通信工程研究所
系所名稱(英) Institute of Computer & Communication
學年度 101
學期 2
出版年 102
研究生(中文) 黃雅莉
研究生(英文) Ya-Li Huang
學號 Q36001664
學位類別 碩士
語文別 英文
論文頁數 72頁
口試委員 指導教授-蘇淑茵
口試委員-楊舜仁
口試委員-蔡孟勳
口試委員-鄭欣明
口試委員-曾學文
中文關鍵字 需求轉移(demand shifting)  智慧電網(Smart Grid)  需求回應(Demand Response)  M2M網路(M2M network) 
英文關鍵字 demand shifting  Smart Grid  Demand Response  M2M network 
學科別分類
中文摘要 電力公司透過需求回應程式(Demand Response Program)告知價格及金錢獎勵的資訊給用戶端的裝置,降低尖峰時段用電,並減少電力公司在尖峰時段發電成本。其中用戶端的裝置,包括負荷控制裝置、智能恆溫器以及家庭能源控制台。
為了創造用電戶與電力公司雙贏的局面,因而提出用電延遲的機制,並應用於智慧電網的環境中。並設計模擬模型驗證此機制,是否有效將尖峰時段用電移到離峰時段。探討模擬實驗中加入此機制,各種環境參數的設定,對效能的影響。本篇論文中,加入此機制降低尖峰時段用電,讓電力公司的發電成本降低,並降低使用者花費的總用電成本。
英文摘要 Demand Response (DR) program allows utilities to inform customers about the information through the devices from customer side. For utilities, DR program reduces the cost of generation electricity during peak time by offering the profit to customers. Such devices include load control devices, smart thermostats and home energy consoles. DR program provides pricing information and monetary incentives.
Expect to create a Win-Win situation for customers and utilities. We devise a deferred mechanism in SG (Smart Grid) which can shift demand to non-peak time. Then, we develop a simulation model to evaluate the mechanism. Finally, we use simulation experiments to discuss the performances in detail of each figure. In this thesis, with this mechanism reduces generation cost of utilities during peak time and also customers can spend less price to use electricity.
論文目次 List of Figures v
List of Tables viii
Chapter 1 Introduction 1
Chapter 2 Related Works 9
Chapter 3 Demand Response program 11
3.1 What is Demand Response? 11
3.2 DR Program Model 12
3.3 DR Benefits 15
Chapter 4 Simulation Design for Demand Response program 18
4.1 Simulation Process 20
4.2 Deferred mechanism illustration 23
4.3 Counting process of calculating successful or failure proportion 27
Chapter 5 Performance Evaluation 30
5.1 Effect of variation of probability of a deferred job 30
5.1.1 Case I: set the value of the job deadline to 360 30
5.1.2 Case II: set the value of the job deadline mean to 420 35
5.2 Effect of variation of average holding time of jobs 39
5.2.1 Case I: set the value of the job deadline mean to 360 39
5.2.2 Case II: set the value of the job deadline mean to 420 45
5.3 Effect of variation of job arrival rate in peak time 50
5.3.1 Case I: set the value of the job deadline mean to 360 50
5.3.2 Case II: set the value of the job deadline mean to 420 55
5.4 Effect of variation of DR deployment time 60
5.4.1 Case I: set the value of the job deadline mean to 360 60
5.4.2 Case II: set the value of the job deadline mean to 420 64
Chapter 6 Conclusions 69
References 70
參考文獻 [1] H. Farhangi, “The path of the smart grid”, IEEE Power and Energy Mag., vol. 8, no. 1, pp. 18-28, Jan. – Feb., 2010.
[2] M. A. Piette, G. Ghatikar, S. Kiliccote, E. Koch, D. Hennage, P. Palensky, and C. McParland, “Open Automated Demand Response Communications Specification (Version 1.0)”, California Energy Commission, PIER Program, Tech. Rep. CEC-500-2009-063, 2009.
[3] E. Koch and M. A. Piette, “Scenarios for Consuming Standardized Automated Demand Response Signals,” Lawrence Berkeley National Laboratory, paper LBNL-1362E, http://openadr.lbl.gov/pdf/1362e.pdf. 2008.
[4] “ETSI M2M Presentation during MWC 2011,” http://www.etsi.org/WebSite/document/EVENTS/ETSI%20M2M%20Presentation%20during%20MWC%202011.pdf. 2011.
[5] S. Mohagheghi, F. Yang, and B. Falahati, “Impact of demand response on distribution system reliability,” IEEE Power and Energy Society General Meeting, pp. 1-7, 2011.
[6] “Demand response: design principle for creating customer and market value,” prepared by Peak Load Management Alliance, Nov. 2002.
[7] Load curve of today by fuel type (2013/05/07), Taiwan Power Company, http://stpc00601.taipower.com.tw/loadGraph/loadGraph/load_fueltype.html. 2011.
[8] “Assessment of Demand Response and Advanced Metering,” Staff Report, Federal Energy Regulatory Commission, Sep. 2007.
[9] M. H. Albadi and E. F. El-Saadany, “A summary of demand response in electricity markets,” Electric Power Systems Research, vol. 78, no. 11, pp. 1989–1996, 2008.
[10] H. Sale and O. S. Grande, “Demand response from household customers: Experiences from a pilot study in Norway,” IEEE Trans. Smart Grid, vol. 2, no. 1, pp. 102–109, 2011.
[11] Standards for business practices and communication protocols for public utilities, FERC Docket No. RM05-5-020, 18 CFR 35.28(b) (4) (2012), issued Feb. 21, 2013.
[12] U.S. Dept. Energy, “Benefits of demand response in electricity markets and recommendations for achieving them,” a report to the United States Congress, Pursuant to Section 1252 of the Energy Policy Act of 2005, 2006.
[13] “Demand Response: design principles for creating customer and market value,” Prepared by the Peak Load Management Alliance, http://ww.peaklma.com/Files/CustomerPrinciplesFinal103102.pdf. 2002.
[14] J. L. Mathieu, P. N. Price, S. Kiliccote, and M. A. Piette, “Quantifying Changes in Building Electricity Use, With Application to Demand Response,” IEEE Trans. Smart Grid, vol. 2, no. 3, pp. 507–518, May 2011.
[15] “Assessment of Demand Response and Advanced Metering,” Staff Report, Federal Energy Regulatory Commission, Aug. 2006.
[16] Gellings Clark W, The smart grid: enabling energy efficiency and demand response, The Fairmont Press, Inc., pp. 141, 2009.
[17] “Assessment of Demand Response and Advanced Metering,” Staff Report, Federal Energy Regulatory Commission, Dec. 2012.
[18] S. Kiliccote, M. A. Piette, J. H. Dudley, E. Koch, and D. Hennage, “Open automated demand response for small commercial buidings,” Jul. 2009. http://drrc.lbl.gov/system/files/lbnl-2195e.pdf.
[19] G. Wikler, Auto-DR: Smart integration of supply and demand for rapid grid response (white paper), Gep LLC, Mar. 2010.
[20] P. Palensky and D. Dietrich, “Demand Side Management: Demand Response, Intelligent Energy Systems, and Smart Loads”, IEEE Trans. Industrial Informatics, vol. 7, no. 3, pp.381-388, Aug. 2011.
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