Improved wind prediction based on the Lorenz system

被引:18
作者
Zhang, Yagang [1 ,2 ]
Yang, Jingyun [1 ]
Wang, Kangcheng [1 ]
Wang, Zengping [1 ]
Wang, Yinding [2 ]
机构
[1] North China Elect Power Univ, State Key Lab Alternate Elect Power Syst Renewabl, Being 102206, Peoples R China
[2] Univ S Carolina, Interdisciplinary Math Inst, Columbia, SC 29208 USA
关键词
Lorenz system; Atmospheric disturbance; Wavelet neural network; Disturbance coefficient; Disturbance intensity; RENEWABLE ENERGY; SPEED; OPTIMIZATION; FARM;
D O I
10.1016/j.renene.2015.03.039
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Atmospheric disturbance is a complex nonlinear process. The Lorenz system was seen as a classical model to reveal essential characteristics of nonlinear systems. It has further improved people's understanding of the evolution of the climate system. Different from traditional studies working on improving the numerical methods for wind prediction, dynamic characteristics of the atmospheric system are fully considered here. This paper proposed the concept of the Lorenz Comprehensive Disturbance Flow (LCDF) and defined the perturbation formula for wind prediction. The Lorenz disturbance has significant influence on wind forecasting, which is proved by using wind data from the Sotavento wind farm. That is to say, the change process of atmospheric motion around the wind farm is more ideally described based on the Lorenz system. This research has important theoretical value in developing nonlinear systems and plays a great role on wind prediction and wind resource exploitation. (C) 2015 Elsevier Ltd. All rights reserved.
引用
收藏
页码:219 / 226
页数:8
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