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Energies 2015, 8(1), 475-489; doi:10.3390/en8010475

Wind Power Prediction Considering Nonlinear Atmospheric Disturbances

1
State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Beijing 102206, China
2
Interdisciplinary Mathematics Institute, University of South Carolina, Columbia, SC 29208, USA
*
Author to whom correspondence should be addressed.
Academic Editor: Frede Blaabjerg
Received: 11 November 2014 / Accepted: 5 January 2015 / Published: 13 January 2015
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Abstract

This paper considers the effect of nonlinear atmospheric disturbances on wind power prediction. A Lorenz system is introduced as an atmospheric disturbance model. Three new improved wind forecasting models combined with a Lorenz comprehensive disturbance are put forward in this study. Firstly, we define the form of the Lorenz disturbance variable and the wind speed perturbation formula. Then, different artificial neural network models are used to verify the new idea and obtain better wind speed predictions. Finally we separately use the original and improved wind speed series to predict the related wind power. This proves that the corrected wind speed provides higher precision wind power predictions. This research presents a totally new direction in the wind prediction field and has profound theoretical research value and practical guiding significance. View Full-Text
Keywords: wind energy; wind speed and power prediction; Lorenz system; atmospheric disturbance; artificial neural network wind energy; wind speed and power prediction; Lorenz system; atmospheric disturbance; artificial neural network
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Zhang, Y.; Yang, J.; Wang, K.; Wang, Z. Wind Power Prediction Considering Nonlinear Atmospheric Disturbances. Energies 2015, 8, 475-489.

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