(3.236.118.225) 您好!臺灣時間:2021/05/16 11:06
字體大小: 字級放大   字級縮小   預設字形  
回查詢結果

詳目顯示:::

: 
twitterline
研究生:沈吉山
研究生(外文):Ji-Shan Shen
論文名稱:機組協調求解之經驗法則
論文名稱(外文):Heuristic Rules For the Unit Commitment
指導教授:陸臺根陸臺根引用關係
指導教授(外文):Tai-Ken Lu
學位類別:碩士
校院名稱:國立臺灣海洋大學
系所名稱:電機工程學系
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:2010
畢業學年度:98
語文別:中文
論文頁數:121
中文關鍵詞:機組協調整數混合線性規劃
外文關鍵詞:Unit CommitmentMixed Integer Linear Programming
相關次數:
  • 被引用被引用:1
  • 點閱點閱:148
  • 評分評分:
  • 下載下載:23
  • 收藏至我的研究室書目清單書目收藏:0
隨著全球經濟復甦與高科技產業的興起,尖峰負載屢創新高。然2007年的金融海嘯使得全球經濟發展的不確定性大幅增加,再加上2005年2月15日京都議定書的生效,及能源價格劇烈漲跌的影響,皆使得未來電力生產計畫的研擬更加困難。以往機組協調大多以一個星期為單位進行模擬,並取模擬結果的第一天排程來當作隔天調度的依據;若需要中期發電排程做為月調度計畫研擬的依據,則大都採用時間軸切割方式依序執行機組協調程式來求出,缺乏一完整模式來進行分析。
由於機組協調是一個整數規劃問題,整數變數的多寡將嚴重影響求解的速度。因此,本文擬發展一快速的機組協調演算模式,透過求解連續變數模型及模糊邏輯概念,來大幅鎖住機組的運轉狀態,從而減少整數變數的組合以加快求解速度。本文之機組協調模式除傳統機組協調需考慮的限制因素外,亦考量區域間的電力融通限制、燃料月用量超約的增購成本、機組容量因數及民營電廠機組總啟停次數等因素。所發展的快速機組協調演算模式可應用於月電力運轉計畫的研擬。

As the global economic recovery and the rising of the hi-tech industry, the power demand is more and more high. The uncertainty of global economic development has been increased significantly since the 2007 financial tsunami has been happen, the entry into force of the 2005 Kyoto Protocol, and sharp rise in energy prices, will make the future electricity production plans developed is more difficult. In the past, most of the Unit Commitment (UC) simulated takes always one week as the simulation period, and takes the first day simulation results as the basis for the day ahead system operation. If a middle term generation schedule to be developed, UC will be executed separately along the time-axis to find the results needed, lacks a complete model for analysis.
UC is an integer programming problem, the solution speed affected seriously by the size of integer variables. So a fast UC algorithm developed in this thesis, the integer variable combinations reduced significantly using the continuous variable model and fuzzy logic concept, is to speed up the solution process. A UC model developed in this thesis, in addition to the traditional constraints of UC, the power interchange, monthly fuel contracts, unit’s capacity factors and the start/stop number of IPP will be also considered. This algorithm can be applied to the monthly power production plan developed.

目錄

摘要…………………………………………………………………. I

Abstract…...………………...………………………………. II

目錄…………………………………………………………………. III

圖目錄………………………………………………………………. V

表目錄………………………………………………………………. VII

第一章 緒論…………………………………………………….. 1
1-1 研究背景……………………………………. 1
1-2 文獻探討……………………………………. 5
1-3 研究目的……………………………………. 11
1-4 研究方法與流程……………………………. 11
1-5 論文章節說明………………………………. 14
第二章 問題描述…………………………………………. …… 16
2-1 機組協調之重要性…………………………. 16
2-2 發電機組種類與特性簡介…………………. 17
2-3 機組協調問題描述…………………………. 22
第三章 機組協調排程理論模式…………………………………. 26
3-1 數學符號定義說明…………………………. 26
3-2 數學模型……………………………………. 31
3-2.1 目標函數……………………………………. 32
3-2.2 機組限制式…………………………………. 38
3-2.3 系統限制式……………………………….… 43
3-3 機組協調求解之經驗法則求解流程說明.… 48
3-3.1 完整模式……………………………………. 48
3-3.2 經驗法則模式………………………………. 50
第四章 模擬分析…………………………………………………. 54
4-1 傳統火力機組協調模式模擬………………. 54
4-2 傳統火力機組協調經驗法則模式模擬……. 74
4-3 整合型機組協調經驗法則模式之模擬……… 90
第五章 結論與未來方向…………………………………………. 104
5-1 結論……………………………………..... 104
5-2 未來研究方向………………………………. 105
參考文獻……………………………………………………………. 107

參考文獻
[1] 台電公司網站:http://www.taipower.com.tw
[2] 經濟部能源局網站:http://www.moeaboe.gov.tw
[3] http://www.indexmundi.com/
[4] http://www.iea.org/stats/index.asp
[5] Fu Yong and M. Shahidehpour, “Fast SCUC for Large-Scale Power Systems,” IEEE Transactions on Power Systems, Vol. 22, No. 4, pp. 2144-2151, Nov. 2007.
[6] T. Li, M. Shahidehpour and Z. Li, “Risk-Constrained Bidding Strategy With Stochastic Unit Commitment,” IEEE Transactions on Power Systems, Vol. 22, No. 1, pp. 449-458, Feb. 2007.
[7] F. Aminifar, M. Fotuhi-Firuzabad and M. Shahidehpour, “Unit Commitment With Probabilistic Spinning Reserve and Interruptible Load Considerations,” IEEE Transactions on Power Systems, Vol. 24, No. 1, pp. 388-397, Feb. 2009.
[8] A. Rudolf and R. Bayrleithner, “A genetic algorithm for solving the unit commitment problem of a hydro-thermal power system,” IEEE Transactions on Power Systems, Vol. 14, No. 4, pp. 1460-1468, Nov. 1999.
[9] T. Senjyu, H. Yamashiro, K. Shimabukuro, K. Uezato and T. Finabashi, “A fast solution technique for large scale unit commitment problem using genetic algorithm,” IEEE Transmission and Distribution Conference and Exhibition: Asia and Pacific 2002, pp. 1611-1616, 2002.
[10] T. Miyagi, T. Senjyu, A.Y. Saber, N. Urasaki and T. Finabashi, “Adaptive unit commitment strategy for sudden load demand change,” International Conference Intelligent Systems Application to Power Systems, pp. 504-509, Nov. 2005.
[11] J. Solanki, S. Khushalani and A. Srivastava, “A Genetic Algorithm Approach to Price-Based Unit Commitment,” 38th North American Power Symposium, 2006 , pp. 425-429, Sep. 2006.
[12] G.S. Sailesh Babu, D. Bhagwan Das and C. Patvardhan, “A hybrid stochastic search approach for unit commitment with hard reserve constraints,” IEEE Power India Conference 2006, pp. 1-8, 2006.
[13] Li Chao-An, A.J. Svoboda, Tseng Chung-Li, R.B. Johnson and E. Hsu, “Hydro unit commitment in hydro-thermal optimization,” IEEE Transactions on Power Systems, Vol. 12, No. 2, pp. 764-769, May. 1997.
[14] H. Ma and S.M. Shahidehpour, “Unit commitment with transmission security and voltage constraints,” IEEE Transactions on Power Systems, Vol. 14, No. 2, pp. 757-764, May. 1999.
[15] V.S. Pappala and I. Erlich, “A new approach for solving the unit commitment problem by adaptive particle swarm optimization,” IEEE Power and Energy Society General Meeting - Conversion and Delivery of Electrical Energy in the 21st Century, 2008 , pp. 1-6, Jul. 2008.
[16] Chen Po-Hung, “Pumped-Storage Scheduling Using Evolutionary Particle Swarm Optimization,” IEEE Transactions on Energy Conversion, Vol. 23, No. 1, pp. 294-301, Mar. 2008.
[17] J.F. Dopazo and H.M. Merrill, “Optimal generator maintenance scheduling using integer programming,” IEEE Transactions on Power Apparatus and Systems, Vol. 94, No. 5, Part 1, pp. 1537-1545, Sep. 1975.
[18] Q. Zhou and R. Froed, A. Papalexopoulos, D. Lamb, E. Ledesma, “Minimizing Market Operation Costs Using A Security-Constrained Unit Commitment Approach,” IEEE Transmission and Distribution Conference and Exhibition: Asia and Pacific 2005, pp. 1-7, 2005.
[19] M. Carrion and J.M. Arroyo, “A computationally efficient mixed-integer linear formulation for the thermal unit commitment problem,” IEEE Transactions on Power Systems, Vol. 21, No. 3, pp. 1371-1378, Aug. 2006.
[20] Li. Tao and M. Shahidehpour, “Dynamic Ramping in Unit Commitment,” IEEE Transactions on Power Systems, Vol. 22, No. 3, pp. 1379-1381, Aug. 2007.
[21] T. Senjyu, H. Yamashiro, K. Shimabukuro, K. Uezato and T. Funabashi, “Fast solution technique for large-scale unit commitment problem using genetic algorithm,” IEE Proceedings-Generation, Transmission and Distribution , Vol. 150, No. 6, pp. 753-760, Nov. 2003.
[22] D.N. Simopoulos, S.D. Kavatza and C.D. Vournas, “Reliability Constrained Unit Commitment Using Simulated Annealing,” IEEE Transactions on Power Systems, Vol. 21, No. 4, pp. 1699-1706, Nov. 2006.
[23] Y.Y Hsu, C.C. Su, C.C Liang, C.J Lin and C.T. Huang, “Dynamic security constrained multi-area unit commitment,” IEEE Transactions on Power Systems, Vol. 6, No. 3, pp. 1049-1055, Aug. 1991.
[24] Yang Pengpeng, Han Xueshan and Zhang Li, “A new approach for security constrained unit commitment,” International Conference on Power System Technology 2006, pp.1-6, 22-26 Oct. 2006.
[25] C.C.A. Rajan, “An evolutionary programming based tabu search method for solving the unit commitment problem in utility system,” TENCON 2004, pp.472-475, Nov. 2004.
[26] C.C.A. Rajan and M.R. Mohan, “An evolutionary programming-based tabu search method for solving the unit commitment problem,” IEEE Transactions on Power Systems, Vol. 19, No. 1, pp. 577-585, Feb. 2004.
[27] C.C. Asir Rajan, “An evolutionary programming based tabu search method for unit commitment problem with cooling-banking constraints,” IEEE Power India Conference 2006, pp. 1-8, 2006.
[28] C. Samudi, G.P. Das, P.C. Ojha, T.S. Sreeni and S. Cherian, “Hydro thermal scheduling using particle swarm optimization,” IEEE Transmission and Distribution Conference and Exposition 2008 , pp. 1-5, 21-24 Apr. 2008.
[29] D.P. Kadam, P.M. Sonwane, V.P. Dhote and B.E Kushare, “Fuzzy logic algorithm for Unit Commitment Problem,” International Conference Control, Automation, Communication and Energy Conservation 2009, pp. 1-4, 4-6 Jun 2009.

連結至畢業學校之論文網頁點我開啟連結
註: 此連結為研究生畢業學校所提供,不一定有電子全文可供下載,若連結有誤,請點選上方之〝勘誤回報〞功能,我們會盡快修正,謝謝!
QRCODE
 
 
 
 
 
                                                                                                                                                                                                                                                                                                                                                                                                               
第一頁 上一頁 下一頁 最後一頁 top