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研究生:張文奇
研究生(外文):Wen-Chi Chang
論文名稱:中央空調主機之遙控降載與建模
論文名稱(外文):Remote Shedding and Modeling of Central Air Conditioning Chillers
指導教授:姚立德姚立德引用關係
指導教授(外文):Leehter Yao
學位類別:碩士
校院名稱:國立臺北科技大學
系所名稱:機電整合研究所
學門:工程學門
學類:機械工程學類
論文種類:學術論文
論文出版年:2001
畢業學年度:89
語文別:中文
論文頁數:228
中文關鍵詞:負載模型負載直接控制類神經網路機率密度函數模糊建模
外文關鍵詞:Load ModelDirect Load ControlArtificial Neural NetworksProbability Density FunctionFuzzy Modeling
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為因應台電目前正推廣中央空調負載直接控制計畫,計畫實施之時,台電須要一負載模型,以評估各種控制策略於不同外氣溫度條件下,對各類型中央空調主機如往復式、螺旋式及離心式主機可抑低之負載量。本文配合台電實施之「北部地區無線電(含傳呼系統)負載直接控制示範計畫」,重點選擇受控用戶中具代表性之各型中央空調主機,在不同外氣溫度條件下,改變不同卸載比例,量測空調主機受控後之負載變化。利用此量測數據,計算出其省電比例,再以數學統計方式,推導受控空調主機省電容量佔比之分布,亦即,推導出省電容量佔比之機率密度函數(probability density function),本文擬以Beta機率密度函數推導出省電容量佔比的機率密度函數。
根據省電比例、外氣溫度、降載比例及降載時間等訓練資料,本文另以倒傳遞類神經網路、模糊控制系統Mamdani模型建立可抑低之負載量模型。最後,以實測及模擬之數據,驗證所建立負載模型之正確性。
Associated with TPC’s currently commercialized direct load control project, TPC needs a load model to estimate the load could be shed for different types of central air conditioning Chillers corresponding to different control strategies at different outdoor temperature. Distribution of energy saving percentage will be measured corresponding to different shedding ratios, shedding interval as well as different outdoor temperature. Based on the measured data, the probability density function (p.d.f.) of the energy saving percentage will be approximated, respectively, by Beta function, Fuzzy System Mamdani Model and Artificial Neural Networks. From the computer simulation, it is shown that the Artificial Neural Networks outperforms the Beta function and Fuzzy System Mamdani Model.
摘要...................................................iii
ABSTRACT..............................................iv
誌謝..............................................v
目次 .................................................vi
表目錄.............................................ix
圖目錄.............................................x
第一章緒 論.........................................1
1.1 研究動機及目的......................1
1.2 研究方法............................2
1.3 文獻探討............................4
1.4 論文內容............................6
第二章無線電傳呼式負載管理系統.....................8
2.1前言................................8
2.2北部地區無線電(含傳呼系統)負載直接控制
示範................................8
2.3無線電傳呼式負載管理系統............11
第三章中央空調控制技術.............................16
3.1 往復式、有段螺蜁式主機控制技術......16
3.1.1往復式壓縮機容量控制方式.......17
3.1.2螺旋式壓縮機容量控制方式.......18
3.1.3往復式、螺旋式壓縮機容量控制準則
................................20
3.1.4往復式、螺旋式壓縮機實際控制系統
分析...........................26
3.2離心式空調主機控制..................52
3.2.1 McQuay離心式冰水主機控制技術..59
3.2.2 Carrier離心式冰水主機控制技術.70
3.2.3 York離心式冰水主機控制技術....81
3.2.4 Trane離心式冰水主機控制技術...85
3.2.5 Mitsubishi離心式冰水主機控制
技術..........................89
第四章電力負載量測系統.............................94
4.1 前言................................94
4.2電力負載量測系統....................94
第五章降載比例分析.................................104
5.1 空調主機效率........................104
5.2 電力負載分析........................110
5.3 空調負載分析........................138
5.4室內溫溼度變化分析..................155
第六章Beta函數負載模型與模擬結果...................163
6.1模擬資料分析........................164
6.2 Beta函數建模理論分析................165
6.3Beta函數建模模擬分析................173
第七章倒傳遞類神經網路建模..........................180
7.1 類神經網路..........................180
7.2 倒傳遞類神經網路....................181
7.3 類神經網路應用於負載模型的模擬與分析186
第八章模糊控制負載模型建立.........................195
8.1 模糊控制理論概述....................195
8.2 Mamdani 模型、倒傳遞及疊代法........199
8.3 模糊控制建模結果分析................201
第九章建模方式之比較與分析.........................210
9.1 前言................................210
9.2 模擬結果比較與分析..................210
第十章結論.........................................215
10.1 結論................................215
10.2 未來發展方向........................217
參考文獻..............................................218
附錄A 量測系統........................................ 223
作者簡介............................................. 227
1. 姚立德、王文博、顏榮良,無線電控制空調負載之可行性研究,台灣電力公司研究報告,民國83年5月。
2. 姚立德、王文博、顏榮良、黃佳文、涂世達,“無線電負載管理系統對空調負載之控制”,台電工程月刊,第五五一期,pp.44-53,民國83年7月。
3. 姚立德、顏榮良、黃佳文,“無線電控制空調負載系統之規劃”,能源季刊,第二十五卷第三期,pp.92-105,民國83年4月。
4. 姚立德、王文博、顏榮良、張文奇,“無線電負載管理系統在空調設備直接控制之改善策略”,台電工程月刊,第五六八期,pp.37-47,民國84年12月。
5. 姚立德、林哲雄、顏榮良、張文奇,“擴充負載直接控制範圍之系統設計”,台電工程月刊,第五八三期,pp.95-105,民國86年3月。
6. 姚立德、 顏榮良、 張文奇,“以電話網路改善無線電負載管理系統監控功能之規劃”,技術學刊第十二卷第四期,pp.689-695,民國86年12月。
7. 姚立德、王文博、顏榮良,無線電直接控制空調負載之實際運用研究,台灣電力公司研究報告,民國86年4月。
8. 姚立德、王文博、林哲雄、 顏榮良、 張文奇,“中永和地區實施無線電直接控制空調負載之控制策略與成效”, 台電工程月刊,第五八九期, pp. 84-93, 9月,1997。
9. 姚立德,無線電傳呼系統應用在負載管理技術之研究,台灣電力公司研究報告,民國87年7月。
10. 姚立德,北部地區無線電負載直接控制示範計畫,台灣電力公司研究報告(期中),民國88年3月。
11. 姚立德、謝凱清、王文博、顏榮良、張文奇, “空調負載週期性直接控制之控制策略分析”, 冷凍空調季刊, 第六卷第三期, pp. 50-62,1997年。
12. EPRI Report, Survey of Demand Side Management, 1992.
13. D. E. Nordell,“Forced duty cycling of condition unit for Load Management,” IEEE Trans. Power Systems, Vol. 2, No. 4, pp. 1110-1116, November 1987.
14. J. J. Bzura,“Radio control of water heaters in Rhode Island,”IEEE Trans. Power Systems, Vol. 4, No. 1, pp. 26-29, February 1989.
15. J. J. Bzura,“Radio control of air conditioning in Rhode Island,”IEEE Trans. Power Systems, Vo l.5, No. 2, pp.448-451, May 1990.
16. G. F. Strickler and S. K. Noell, “Residential air conditioner cycling-a case study,” IEEE Trans. Power Systems, Vol. 3, pp. 207-212, No. 1, February 1988.
17. J. R. Espinosa,“Implementation and integration of air conditioner cycling at Southern California Edison,” IEEE Trans. Power Systems, Vol. PWRS-2, No. 3, pp. 792-798, August 1987.
18. R. Bhatnagar, J. Latimer, L. J. Hamant, A. A.Garcia, G. Gregg, and E. chan,“On-Line Load Control Dispatch at Florida Power & Light,” IEEE Trans. Power Systems, Vol. 3, No. 3, pp.1237-1243, August 1988.
19. A. I. McCartney,“Load management using radio teleswitches within NIE,” Power Engineering Journal, Vol. 7, pp. 163-169, August 1993.
20. R. E. Stephens,“Load Control Demand Reduction Estimation, ” IEEE Trans. Power Systems, Vol. 3, pp. 59-66, No. 1, February 1988.
21. K. D. Smalling and B. Poteat,“Load Management Operation at 900 MHz, ” IEEE Trans. Power Apparatus and Systems, Vol. PAS-102, No. 3, pp. 567-571, March 1983.
22. M. Chan, and G. Ackerman, “Simulation-based load synthesis methodology for evaluating load-management programs,” IEEE Trans. Power Apparatus and Systems, Vol. PAS-100, pp. 1771-1778, April 1981.
23. T. M. Calloway and C. W. Brice, III, “Physically-based model of demand with applications to load management assessment and load forecasting,” IEEE Trans. Power Apparatus and Systems, Vol. PAS-101, pp. 4625-4631, Dec. 1982.
24. A. Pahwa and C. W. Brice, III, “Modeling and system identification of residential air conditioning load,” IEEE Trans. Power Apparatus and Systems, Vol. PAS-104, pp. 1418-1425, June 1985.
25. C. Chong and P. Malhami, “Statistical synthesis of physically based load models with applications to cold load pickup,” IEEE Trans. Power Apparatus and Systems, Vol. PAS-103, pp. 1621-1628, July 1984.
26. C. F. Walker and J. L. Pokoski, “Residential load shape modeling based on customer behavior,” IEEE Trans. Power Apparatus and Systems, Vol. PAS-104, pp. 1703-1711, July 1985.
27. W. Lang,“An analytical method for quantifying the electrical space heating component of a cold load pickup,” IEEE Trans. Power Apparatus and Systems, Vol. PAS-101, pp. 924-932, April 1982.
28. C. W. Gellings and R. W. Taylor, “Electric load curve synthesis-a computer simulation of an electric utility load shape,” IEEE Trans. Power Apparatus and Systems, Vol. PAS-100, pp. 60-65, January. 1981.
29. J. R. Bibeiro and F. J. Lang, “A new aggregation method for determining composite load characteristics,” IEEE Trans. Power Apparatus and Systems, Vol. PAS-101, pp. 2869-2875, August. 1982.
30. D. Bargiotas and J. D. Birdwell, “Residential air conditioner dynamic model for direct load control,” IEEE Trans. Power Delivery, Vol. 3, pp. 2119-2126, Octorber. 1988.
31. S. Rahman and M. Baba, “An integrated load forecasting-load management simulator: its design and performance,” IEEE Trans. Power Systems, Vol. 4, pp.184-189, February 1989.
32. C. Alvarez and R. Mahame, “Class of models for load management application and evaluation revised,” IEEE Trans. Power Systems, Vol. 7, pp. 1435-1443, November 1992.
33. M. W. Gustafson and J. Baylor, “Direct water heater load control: estimating program effectiveness using engineering model,” IEEE Trans. Power Systems, Vol. 8, No. 1, pp. 137-143, February 1993.
34. N. E. Ryan, John T. Powers, S. D. Braithwait, and Bruce A. Smith, “Generalizing direct load control program analysis: implementation of the duty cycle approach,” IEEE Trans. Power Systems, Vol. 4, No. 1, pp. 293-299, February 1989.
35. D. E. Nordell, “Forced duty cycling of air conditioning units for load management,” IEEE Trans. Power Systems, Vol. 2, No. 4, PP. 1110-1116, November 1987.
36. D. E. Nordell, “Principles of Effective laod management,” IEEE Trans. Power Apparatus and Systems, PAS-104, No. 16, pp. 1450-1454, June 1985.
37. J. H. Reed, R. P. Broadwater, A. Chandrasekaran and A. Oka, “Predicting air conditioner load curves from energy audit data: a comparison of predicted and actual air conditioning data from the Athens load control experiment,” IEEE. Trans. Power Systems, Vol. 5, No. 2, pp.359-365, May 1990.
38. K. Tomiyama, John P. Daniel, and Satoru Ihara, “Modeling Air Conditioner Load for Power System Studies,” IEEE Trans. Power Systems, Vol. 13, No. 2, pp. 414-421, May 1998.
39. Y.-Y. Hsu , and C.-C. Yang,“ Design of artificial neural networks for short-term load forecasting. PartII: Multilayer feedforward networks for peak load and valley load forecasting,” IEE Proceedings, Vol. 138,no. 5, pp. 414-418, September 1991,
40. K.-L. Ho,Y.-Y. Hsu and C.-C. Yang, “ Short term load forecasting using a multilayer neural network with an adaptive learning algorithm,” IEEE, Trans. Power System,Vol. 7, No. 1, pp. 141-149, February 1992.
41. K.-H. Kim,H.-S. Youn and Y.-C. Kang, “Short-Term Load Forecasting for Special Days in Anomalous Load Conditions Using Neural Networks and Fuzzy Inference Method, ” IEEE Trans. Power System, Vol. 15, No. 2, pp. 559-565, May 2000.
42. 李岳璋、姚立德,“無線電傳呼式負載管理系統之軟體設計”, 中華民國第十九屆電力工程研討會論文集,臺灣台北, pp. 248-252,11月21-22日,1998年。
43. McQuay International Co., 200-Series Micro Tech Control Panel Centrifugal Chiller, Minnwapolis, USA, Mar 1995。
44. 開利公司(Carrier),微電腦離心式冰水主機操作與維護手冊,1997。
45. 約克公司,YORK CODPEAK 離心式冰水機操作與維護手冊,1986。
46. 銓恩(Trane),無段螺旋式冰水主機操作與維護手冊,1993。
47. 周福星,數理統計及應用 ,1984。
48. 王進德、蕭大全,類神經網路與模糊控制理論入門,全華書局,1994。
49. 葉怡成,類神經網路模式應用與實作,儒林,1993。
50. 焦李成,神經網路系統理論 ,儒林,1991。
51. 蘇木春、張孝德,機器學習類神經網路、模糊系統以及基因演算法則,全華書局,2000。
52. R. R. Yager and D. P. Filev, Essentials of Fuzzy Modeling and Control , John Willy & Sons, Inc., 1994。.
53. G. J.KLIR, Fuzzy Set Theory Foundation and Applictions, Prentice-Hall International, Inc.,1997。
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