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Annual forecasting of wind speed and power in wind farm based on EMD | |
Wang, Xiaolan![]() | |
2011-03-01 | |
发表期刊 | Taiyangneng Xuebao/Acta Energiae Solaris Sinica
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ISSN | 02540096 |
卷号 | 32期号:3页码:301-306 |
摘要 | In order to forecast monthly wind speed and wind power of the next year, the data of average wind speed per hour of the history can be used in this paper. The wind speed can be decomposed into several intrinsic mode functions (IMF) and trend term by empirical mode decomposition (EMD) method, different recursive least square (RLS) models to forecast each IMF and trend term are built up, these forecasting results of each IMF and trend term are combined to o btain the final forecasting results. The simulation experiment shown the average value of the MAPE is 16.25% about wind speed forecasting and the prediction accuracy is improved considerably. Considering power characteristic of wind power generator, unit efficiency and operating conditions, the output power of the wind farm can be obtained. |
关键词 | Electric power system interconnection Electric utilities Least squares approximations Position control Signal processing Speed Weather forecasting Wind power Empirical Mode Decomposition Intrinsic Mode functions Operating condition Power characteristic Recursive least square (RLS) Recursive least squares method Wind power forecasting Wind speed forecasting |
收录类别 | EI |
语种 | 中文 |
出版者 | Science Press |
EI入藏号 | 20112013987635 |
EI主题词 | Wind |
EI分类号 | 443 Meteorology - 443.1 Atmospheric Properties - 615.8 Wind Power (Before 1993, use code 611 ) - 706.1 Electric Power Systems - 716.1 Information Theory and Signal Processing - 731.3 Specific Variables Control - 921.6 Numerical Methods |
来源库 | Compendex |
分类代码 | 443 Meteorology - 443.1 Atmospheric Properties - 615.8 Wind Power (Before 1993, use code 611 ) - 706.1 Electric Power Systems - 716.1 Information Theory and Signal Processing - 731.3 Specific Variables Control - 921.6 Numerical Methods |
文献类型 | 期刊论文 |
条目标识符 | https://ir.lut.edu.cn/handle/2XXMBERH/111240 |
专题 | 电气工程与信息工程学院 |
作者单位 | College of Electrical Engineering and Information Engineering, Lanzhou University of Technology, Lanzhou 730050, China |
第一作者单位 | 兰州理工大学 |
第一作者的第一单位 | 兰州理工大学 |
推荐引用方式 GB/T 7714 | Wang, Xiaolan,Li, Hui. Annual forecasting of wind speed and power in wind farm based on EMD[J]. Taiyangneng Xuebao/Acta Energiae Solaris Sinica,2011,32(3):301-306. |
APA | Wang, Xiaolan,&Li, Hui.(2011).Annual forecasting of wind speed and power in wind farm based on EMD.Taiyangneng Xuebao/Acta Energiae Solaris Sinica,32(3),301-306. |
MLA | Wang, Xiaolan,et al."Annual forecasting of wind speed and power in wind farm based on EMD".Taiyangneng Xuebao/Acta Energiae Solaris Sinica 32.3(2011):301-306. |
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