Annual forecasting of wind speed and power in wind farm based on EMD

	Annual forecasting of wind speed and power in wind farm based on EMD
	Wang, Xiaolan; Li, Hui
刊名	Taiyangneng Xuebao/Acta Energiae Solaris Sinica
	2011-03-01
卷号	32 期号:3 页码:301-306
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
ISSN号	02540096
英文摘要	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.
语种	中文
出版者	Science Press
内容类型	期刊论文
源URL	[http://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
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.