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研究生:張榮芳
研究生(外文):Rung-Fang Chang
論文名稱:電力用戶負載歸類及整合
論文名稱(外文):Customer Load Profiling and Aggregation
指導教授:盧展南盧展南引用關係
指導教授(外文):Chan-Nan Lu
學位類別:博士
校院名稱:國立中山大學
系所名稱:電機工程學系研究所
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:2002
畢業學年度:90
語文別:中文
論文頁數:90
中文關鍵詞:零售市場負載因數模糊集群負載曲線饋線重組粒子群最佳化模糊集變壓器管理類神經網路網路分析
外文關鍵詞:Retail MarketLoad ProfileLoad FactorFuzzy SetsTransformer ManagementNetwork AnalysisParticle Swarm OptimizationFuzzy ClusteringArtificial Neural NetworkFeeder Reconfiguration.
相關次數:
  • 被引用被引用:14
  • 點閱點閱:359
  • 評分評分:
  • 下載下載:0
  • 收藏至我的研究室書目清單書目收藏:0
封面
中文摘要
英文摘要
目錄
圖目錄
表目錄
第一章 緒論
1-1 研究背景與目標
1-2 文獻回顧
1-3 研究內容
1-4 主要成果
1-5 論文結構說明
第二章 低壓用戶負載曲線之辨別
2-1 簡介
2-2 簡單負載曲線之建立
2-3 用戶負載曲線集群分析-模糊c平均法(Fuzzy c-means
2-4 以類神經網路為基礎之低壓用戶歸類
2-5 本章結論
第三章 配電變壓器負載估計
3-1 簡介
3-2 負載調查程式
3-3 變壓器負載模式之建立
3-3-1 建立各用戶類別負載曲線之歸屬函數
3-3-2 配電變壓器負載分配
3-4 本章結論
第四章 應用饋線重組改善饋線負載因數
4-1 簡介
4-2 問題描述
4-3 以粒子群最佳化為基礎之求解程式
4-4 本章結論
第五章 測試結果
5-1 用戶集群分析和歸類測試
5-2 配電變壓器負載模型之建立與測試
5-2-1 模糊負載潮流之應用
5-3 饋線重組改善負載因數之測試
5-4 本章結論
第六章 結論及未來研究方向
6-1 結論
6-2 未來研究方向
參考文獻
1. 徐守正,”英國新電力交易制度初期實施成效及市場後續發展說明”, 能源季刊第三十二卷第一期,2002年1月。
2. 李清榮,” 各國電業自由化之市場競爭機制評析”,能源季刊第三十一卷第一期,2001年1月。
3. D. W. Sapte, The new electricity trading arrangements, Energy Law, Spring 2000.
4. 王京明,”紐西蘭電力交易規範探討”, 能源季刊第三十卷第四期,2000年1月。
5. 許志義,”台灣電價之探討”, 經濟情勢暨評論月刊第五卷第一期,1999年6月。
6. 林唐裕、吳再益,”從歐美電業發展趨勢探討我國電力自由化方向” ,經濟情勢暨評論月刊第四卷第三期,1998年11月。
7. 許志義,”電力市場開放民營後之相關問題與對策”, 經濟情勢暨評論月刊第一卷第三期,1995年11月。
8. M. Crooks, Risk Factors in Power Contracts, Financial Engineering Ltd, 1999.
9. Generic Technical Implementation Working Group Report on, “Load profiling for implementing retail choice in Maryland,” Maryland Public Service Commission, June 30, 1999.
10. http://www.electricity.org.uk/uk_inds/load2pro.html, “Load profiles in the 1998 electricity supply market,”.
11. S. V. Allera, A. G. Horsburgh, “Load profiling for energy trading and settlements in the UK electricity markets,” DistribuTECH Europe DA/DSM Conf. 27-29, London, October 1998.
12. H. L. Willis, Spatial Electric Load Forecasting, Marcel Dekker, Inc., 1996.
13. C. S. Chen, J. C. Hwang, Y. M. Tzeng, C. W. Huang, and M. Y. Cho, “Determination of customer load characteristics by load survey system at Taipower,” IEEE Trans. on Power Delivery, Vol. 11, pp. 1430-1435, 1996.
14. C. S. Chen, J. C. Huang and C. W. Huang, “Application of load survey system to proper tariff design,” IEEE Trans. on Power Systems, vol. 12, no. 4, pp.1746-1751, Nov. 1997.
15. R. F. Chang, R. C. Leou and C. N. Lu, “Distribution transformer load modeling using load research data,” IEEE Trans. on Power Delivery, vol. 17, no. 2, pp. 655-661, 2002.
16. Load research committee, Load Research Manual, Association of Edison Illuminating Companies, 1990.
17. J. C. Bezdek, et al., Pattern Recognition with Fuzzy Objective Function Algorithms, Plenum Press, New York, 1981.
18. R. J. Hathaway, J. C. Bezdek, J. W. Davenport, ”On relational data versions of c-means algorithms,” Pattern Recognition Letters 17, pp. 607-612, 1996.
19. H. Frank, Fuzzy cluster analysis: methods for classification, data analysis, and image recognition, John Wiley, New York, 1999.
20. M. T. Hagan, H. B. Demuth, M. H. Beale, Neural Network Design, Boston, MA: PWS Publishing, 1996.
21. I.T., Jolliffe, Principal Component Analysis, New York: Springer-Verlag, 1986.
22. 陳順宇,”多變量分析”,華泰書局,1998年7月。
23. 儲全滋,”抽樣方法”,三民書局,1996年2月。
24. J. A. Jardini, C. M. V. Tahan, S. U. Ahn, E. L. Ferrari, “Distribution transformer loading evaluation based on load profiles measurements,” IEEE Trans. on Power Delivery, vol. 12, no. 4, pp. 1766 -1770, Oct. 1997.
25. J. J. Grainger, S. H. Lee, "Optimum size and location of shunt capacitors for reduction of losses on distribution feeder," IEEE Trans. on Power Apparatus and Systems, Vol. PAS-100, No. 3, pp. 1105-1118, March 1981.
26. J. J. Grainger, S. H. Lee and A. A. El-Kib, "Design of a real-time switching control scheme for capacitive compensation of distribution feeders," IEEE Trans. on Power Apparatus and Systems, Vol. PAS-101, No. 8, pp. 2420-2428, Aug. 1982.
27. J. J. Grainger, S.Civanlar, S. H. Lee, "Optimum design and control scheme for continuous capacitive compensation of distribution feeders," IEEE Trans. on Power Apparatus and Systems, Vol. PAS-102, No. 10., pp. 3271-3278, Oct. 1983.
28. T. H. Chen, M. S. Chen, K. J. Hwang, P. Katas, and E. A. Chebi, "Distribution system power flow analysis - a rigid approach," IEEE Trans. on Power Delivery, Vol. 6, No. 3, pp. 1146-1152, July 1991.
29. Y. C. Lee and M. Etezadi-Amoli, “An improved modeling technique for distribution feeders with incomplete information,” IEEE Trans. on Power Delivery, vol. 8, no. 4, pp.1966-1972, Oct. 1993.
30. H. Kuo and Y. Hsu, “Distribution system load estimation and service restoration using a fuzzy set approach,” IEEE Trans. on Power Delivery, vol. 8, no. 4, pp.1950-1957, Oct. 1993.
31. A. K. Ghosh, D. L. Lubkerman, and R. H. Jones, “Load modeling of distribution circuit state estimation,” IEEE Trans. on Power Delivery, vol. 12, no.2, pp. 999-1005, April 1997.
32. A. Seppala, “Statistical distribution of customer load profiles,” Proc. of EMPD ''95, vol. 2, pp. 696-701, 1995.
33. K. Kauhaniemi, “Fuzzy models and techniques for the calculation of radial distribution networks,” Proc. of IEEE/NYUA Athens Power Tech Conference, pp.423-428, Sept. 5-8, 1993.
34. V. Miranda, J. Pereira, J. T. Saraiva, “Load allocation in DMS with a fuzzy state estimation,” IEEE Trans. on Power Systems, vol. 15, no. 2, pp. 529-534, May 2000.
35. K. Kauhaniemi, “Fuzzy models and techniques for the calculation of radial distribution networks,” IEEE/NTUA Athens Power Tech. Conference, vol. 1, pp. 423 —428, 1993.
36. R. C. Leou and C. N. Lu, “Improving feeder voltage calculation results with telemetered data,” IEEE Trans. on Power Delivery, vol. 11, no. 4, pp.1914-1920, Oct. 1996.
37. A. Kaufmann and M. M. Gupta, Introduction to fuzzy arithmetic: theory and applications, Van Nostrand Reinhold, New York, 1985.
38. M. R. Civanlar, and H. J. Trussell, “Constructing membership functions using statistical data,” Fuzzy Sets and Systems, vol. 18, pp. 1-13, 1986.
39. D. E. Goldberg, Genetic Algorithms in Search, Optimization, and Machine Learning, Reading MA: Addison-Welsey, 1989.
40. J. R. Koza, Genetic Programming: On the Programming of Computers by Means of Natural Selection, MIT Press, Cambridge, MA, 1992.
41. T. Y. Chen, and C. J. Chen, “Improvements of simple genetic algorithm in structural design,” International Journal for Numerical Methods in Engineering, Vol. 40, pp. 1323-1334, 1997.
42. M. Gen, and R. Cheng, Genetic Algorithms and Engineer Design, John Wiley & Sons, 1997.
43. L. J. Fogel, Evolutionary Programming in Perspective: the Top-down View, in Computational Intelligence: Imitating Life, J.M. Zurada, R. J. Marks II, and C. J. Robinson, Eds., IEEE Press, Piscataway, NJ, 1994.
44. D. B. Fogel, "An Introduction to Simulated Evolutionary Optimization," IEEE Trans. on Neural Networks, Vol. 5, No. 1, pp. 3-14, Jan. 1994.
45. D. B. Fogel, System Identification Through Simulated Evolution : A Machine Learning Approach to Modeling, Ginn Press, Needham, MA, 1991.
46. D. B. Fogel, "Using Evolutionary Programming for Modeling:An Ocean Acoustic Example," IEEE Journal of Oceanic Engineering, Vol. 17, No. 4, pp. 333-340, Oct. 1992.
47. R. V. Petniunas, “Efficient load aggregation: preparing for the least cost electricity purchase,” Proc. of ’99 Distributech, San Diego, CA, 1999.
48. S. Civanlar, J. J. Grainger, H. Yin and S. S. H. Lee, “Distribution feeder reconfiguration for loss reduction,” IEEE Trans. on Power Delivery, vol. 3, no. 3, pp. 1217-1223, July 1988.
49. M. E. Baran and F. F. Wu, “Network reconfiguration in distribution systems for loss reduction and load balancing,” IEEE Trans. on Power Delivery, vol. 4, no. 2, pp. 1401-1407, Apr. 1989.
50. Y. H. Song, G. S. Wang, A. T. Johns and P. Y. Wang, “Distribution network reconfiguration for loss reduction using fuzzy controlled evolutionary programming,” IEE Proc.—Gener. Transm. Distrib., vol. 144, no. 4, pp. 345-350, Jul. 1997.
51. Z. Qin, D. Shirmohammadi and W. H. E. Liu,” Distribution feeder reconfiguration for service restoration and load balancing,” IEEE Transactions on Power Systems, vol. 12, no. 2, pp. 724 —729, 1997.
52. Y. Y. Hsu, J. H. Yi, S. S. Liu, Y. W. Chen, H. C. Feng and Y. M. Lee,” Transformer and feeder load balancing using a heuristic search approach” IEEE Transactions on Power Systems, vol. 8, no. 1, pp. 184 —190, 1993.
53. Z. Qin, D. Shirmohammadi and W. H. E. Liu,” Distribution feeder reconfiguration for operation cost reduction,” IEEE Transactions on Power Systems, vol. 12, no. 2, pp. 730 —735, 1997.
54. I. Roytelman, V. Melnik, S. S. H. Lee and R. L. Lugtu,” Multi-objective feeder reconfiguration by distribution management system,” IEEE Transactions on Power Systems, vol. 11, no. 2, pp. 661 —667, 1996.
55. J. Kennedy and R. Eberhart, “Particle swarm optimization,” in Proc. of IEEE International Conference on Neural Networks, vol. IV, Perth, Australia, pp. 1942-1948, 1995.
56. Y. Shi and R. Eberhart, “A modified particle swarm optimizer,” in Proc. of IEEE International Conference on Evolutionary Computation, Anchorage, pp. 69-73, May 1998.
57. Y. Shi and R. Eberhart, “Empirical study of particle swarm optimization,” in Proc. of IEEE International Conference on Evolutionary Computation, Anchorage, pp. 1945-1950, May 1999.
58. P. J. Angeline, “Using selection to improve particle swarm optimization,” in Proc. of IEEE International Conference on Evolutionary Computation, Anchorage, Alaska, pp.84-89, 1998.
59. J. Kennedy, R. C. Eberhart, “A discrete binary version of the particle swarm algorithm,” in Proc. of IEEE International Conference on Systems, Man, and Cybernetics, vol. 5, pp. 4104-4108, 1997.
60. H. Yoshida, K. Kawata, Y. Fukuyama, S. Takayama, Y. Nakanishi, “A particle swarm optimization for reactive power and voltage control considering voltage security assessment,” IEEE Trans. on Power Systems, vol. 15, no. 4, pp. 1232-1239, Nov. 2000.
61. S. Naka, T. Genji, T. Yura, Y. Fukuyama,” Practical distribution state estimation using hybrid particle swarm optimization,” 2001 IEEE Power Engineering Society Winter Meeting, vol. 2 , pp. 815-820 , 2001.
62. M. A. Abido, “Particle swarm optimization for multimachine power system stabilizer design,” 2001 IEEE Power Engineering Society Summer Meeting, Vol. 3 ,pp. 1346 —1351, 2001
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