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Short-time wind speed prediction for wind farm based on improved neural network

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3 Author(s)
Han Xiaojuan ; Control & Comput. Eng. Coll., North China Electr. Power Univ., Beijing, China ; Yang Xiyun ; Liu Juncheng

The wind speed prediction method based on improved neural network was proposed in this paper by analyzing the relationships between wind direction and wind speed changes. A new network model was created by customizing the network object properties. Wind speed and wind direction were regarded as the network input at the same time using a single network layer to deal with trends in wind direction so as to realize wind speed prediction. Three different kinds of improved network models were provided in this paper, the validity of which was verified by the actual data in wind farm. Simulation results show that: It can significantly improve the network prediction accuracy by continuously improving the structure of neural networks.

Published in:

Intelligent Control and Automation (WCICA), 2010 8th World Congress on

Date of Conference:

7-9 July 2010