Adaptive Detection and Correction Method for Anomalous Wind Speed

	Adaptive Detection and Correction Method for Anomalous Wind Speed
	Chen, Wei; Wu, Butuo; Pei, Xiping; Yan, Hongqiang
	2016
关键词	abnormal wind detection Auto-Regressive Integrated Moving Average Empirical Mode Decomposition Hidden Markov Model RBF prediction
页码	2265-2270
英文摘要	To improve the accuracy and avaiIabiIity of the data acquisition system from wind farms, this study proposes to use the adaptive detection methods for effective detection abnormal wind speed. In allusion to characterization of the abnormal value was not obvious, choose Auto Regressive Integrated Moving Average to predict wind value of the current moment to obtain residual sequence. In order to reduce the interference of systematic errors, lJsing Empirical Mode Decomposition method gets the residual sequence of gross error characteristic information. With dual stochastic process by using Hidden Markov Mode of adaptive detection and removed abnormal value, to avoid the shortcomings of traditional threshold identification methods. FinaIly, using the cubic spline interpolation correcting abnormal data to get a complete wind speed sequence. RBF forecast results show that paper method to be beUer than traditional wavelet method and can be improved fore casting accuracy of shortterm in wind-speed and power.
会议录	2016 IEEE PES ASIA-PACIFIC POWER AND ENERGY ENGINEERING CONFERENCE (APPEEC)
会议录出版者	IEEE
会议录出版地	345 E 47TH ST, NEW YORK, NY 10017 USA
语种	英语
WOS研究方向	Energy & Fuels ; Engineering
WOS记录号	WOS:000391237400435
内容类型	会议论文
源URL	[http://119.78.100.223/handle/2XXMBERH/36389]
专题	电气工程与信息工程学院
通讯作者	Chen, Wei
作者单位	Lanzhou Univ Technol, Coll Elect & Informat Engn, Lanzhou, Peoples R China
推荐引用方式 GB/T 7714	Chen, Wei,Wu, Butuo,Pei, Xiping,et al. Adaptive Detection and Correction Method for Anomalous Wind Speed[C]. 见:.