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酒泉地区风电场风电功率预报研究 被引量:2

Studies on Wind Power Forecasting for Wind Farms in Jiuquan District
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摘要 利用NOAA天气预报模式Weather Research and Forecasting Model(WRD结合统计订正方法对酒泉地区短期风电功率预报进行了预报实验。与实际出力比较24h短期风电功率预报精度较高。并在此基础上利用风电场附近测风塔观测数据通过时间序列发进行了0~4h超短期预报实验,预报结果显示0~2h预报结果有利于运行调度。 Short term wind power forecasts experiments are conducted using the weather forecasting model WRF of NOAA combined with the method of statistical correction for the wind farms in Jiuquan district. Compared with the real output data, it is found that the 24h short term forecast is of high precision. On this basis, the 0-4 h ultra-short-term forecasting test is made in the time series of observations by using the data as actually collected on the wind speed measurement tower near the wind farm, the forecast result suggests that the 0-2 h short term wind power forecasting is much better.
出处 《电网与清洁能源》 2011年第7期54-57,72,共5页 Power System and Clean Energy
关键词 风电场 风电功率 风电预报 wind farm wind power wind power forecasting
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参考文献15

  • 1LARS LANDBERG, WATSON S J. Short-term Prediction of Local Wind Conditions [J].Boundary-layer eteorology, 1994,70:171-195.
  • 2LARS LANDBERG. Short-term Prediction of the Power Production from Wind Farms[J]. Journal of Wind Engineer- ing and Industrial Aerodynamics,1999, 80:207-220.
  • 3MARTI PEREZ I. Wind Forecasting Activities. Proceed- ings of the First IEA Joint Action Symposium on Wind Forecasting Techniques [C]//Norrkoping, Sweden, 2002,11- 20. Published by FOI Swedish Defence Research Agency.
  • 4FOCKEN U, LANGE M, WALDL H P. Previento A Wind Power Prediction System With an Innovative Upscaling Alogrithm [C]//Proceedings of the European Wind Energy Conference, Copenhagen, Denmark, 2001,2-6 June, pp. 826-829, ISBN 3-936338-09-4.
  • 5BAILEY B, BROWER M C and ZACK J. Short Term Wind Forecasting. Proceedings of the European [C]// Wind Energy Conference, Nice, Frace, 1-5 March 1999:1062- 1065, ISBN1 902916 X.
  • 6JORGENSEN J, MOEHRLEN C, GALLAGHOIR B O, et al. HIRPOM: Description of an operational numerical wind power prediction model for large scale integration of on and offshore wind power in Denmard. Poster on the Global Windpower Conference and Exhibition [C]// Paris, France, 2002,2-5 April ,Sp. on the Proceedings CDROM.
  • 7GIEBEL G, ANDBERG L, BADGEr J, et al. Nielsen, H. Aa. Nielsen, H. Madsen: Using Ensemble Forecasting for Wind Power [C]//Paper Presented on the European Wind Energy Conference and Exhibition, Madrid(ES), 2003:16-20.
  • 8LANDBERG L, GIEBEL G, NIELSEN H A, et al Short- term Prediction An oerview.[J] Wind Energy , 2003,6(3): 273-280. DOI 10.1002/we.96.
  • 9NIELSEN T S, MADSEN H, GIEBEL G, et al. Regional Prediction of Wind Power[C]//Proceedings of the American Wind Energy Association Conference in Austin, Texas (US), 2003,31.March-2 April.
  • 10LANDBERG L, WATSON S J. Short-term Prediction of Local Wind Conditions [J]. Boundary-Layer Meteorology 1994,70:171-195 .

二级参考文献28

  • 1李晶,宋家骅,王伟胜.大型变速恒频风力发电机组建模与仿真[J].中国电机工程学报,2004,24(6):100-105. 被引量:274
  • 2李建康.时间序列建模应用[J].江苏工学院学报,1994,15(2):72-77. 被引量:6
  • 3杨秀媛,肖洋,陈树勇.风电场风速和发电功率预测研究[J].中国电机工程学报,2005,25(11):1-5. 被引量:582
  • 4高俊芳,吴清.时间序列ARMA模型及其应用[J].上海工程技术大学学报,1996,10(4):68-73. 被引量:11
  • 5Alexiadis M, Dokopoulos P, Sahsamanoglou H et al. Short term forecasting of wind speed and related electrical power[J]. Solar Energy, 1998, 63(1): 61-68.
  • 6Bossanyi E A. Short-term wind prediction using Kalman filters[J]. WindEngineering, 1985, 9(1): 1-8.
  • 7Kamal L, Jafri Y Z. Tume series models to simulate and forecast hourly averaged wind speed in Wuetta, Pakistan[J]. Solar Energy, 1997,61(1): 23-32.
  • 8Kariniotekis G, Stavrakakis G, Nogaret E. Wind power forecasting using advanced neural network models[J]. IEEE Trans Energy Conversion, 1996, 11(4): 762-767.
  • 9楼顺天 施阳.基于MATLAB的系统分析与设计--神经网络[M].西安:西安电子科技大学出版社,2000..
  • 10WATSON S J,LANDBERG L,HALLIDAY J A. Application of wind speed forecasting to the integration of wind energy into a large scale power system[J]. IEE Proc- Gener. Transm. Distrib., 1994,141 (4) :357-362.

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