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2013 | OriginalPaper | Chapter

20. Study of Short-Term Wind Power Prediction Based on Advanced BP Neural Network Model

Authors : Jinling Lu, Rengang Yang, Chengxiang Zhang

Published in: Informatics and Management Science IV

Publisher: Springer London

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Abstract

Wind power prediction is important to wind power system operation with a large amount of wind power integration. Effective prediction for wind power can reduce the difficulty of grid dispatching. In this paper an advanced neural network model was proposed to predict the short-term output power of a single wind turbine in a wind farm. According to the relevant wind speed, wind direction, temperature, output power and other data obtained from the wind farm, the model was established to predict the output wind power ahead of 10 min and 1 h. The simulation results showed that the proposed advanced BP neural network model had a higher prediction accuracy comparing to the existing BP neural network model.

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Metadata
Title
Study of Short-Term Wind Power Prediction Based on Advanced BP Neural Network Model
Authors
Jinling Lu
Rengang Yang
Chengxiang Zhang
Copyright Year
2013
Publisher
Springer London
Book
Informatics and Management Science IV

Print ISBN: 978-1-4471-4792-3

Electronic ISBN: 978-1-4471-4793-0

Copyright Year: 2013

DOI
https://doi.org/10.1007/978-1-4471-4793-0_20

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