Offshore Wind Speed Load Predicting Based on GA-SVM

Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 218)

Abstract

The accurate measurement of the effective wind speed is the basis of the wind generation system operation. The effective wind speed cannot be directly measured accurately. Because offshore wind farm is a three-dimensional time-varying environment, the wind speed distribution is different on the plane of blade rotation in the wind generation system. This paper uses support vector machine with genetic algorithm (GA-SVM) to estimate the effective wind speed. The simulation results show that this model has high prediction accuracy, which the mean error of the training data can reach 0.5689 m/s. This model can improve the control capability of the wind generation system, when the wind speed changes in a wide range.

Keywords

Wind generation system Effective wind speed Support vector machine Genetic algorithm 

Notes

Acknowledgments

This paper was supported by Shandong Science and Technology Fund (2011GGH20411) and Shandong Excellent Young Scientist Research Award Fund (BS2010NJ001).

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Copyright information

© Springer-Verlag London 2013

Authors and Affiliations

  1. 1.Department of Electrical EngineeringHarbin Institute of TechnologyWeihaiChina

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