tailieunhanh - Control and modeling of wind turbines using genetic algorithms and support vector machines for regression

In this work, a hybrid approach based on the Support Vector machines (SVM) and genetic algorithms (GA) is developed. The SVM are learning machines that can perform binary classification and real value function approximation (regression estimation) tasks. This tool of the artificial intelligence founded on the theory of the statistical learning was selected for its great capacity of training and generalization. | International Journal of Computer Networks and Communications Security VOL. 3, NO. 6, JUNE 2015, 235–243 Available online at: E-ISSN 2308-9830 (Online) / ISSN 2410-0595 (Print) Control and Modeling of Wind Turbines Using Genetic Algorithms and Support Vector Machines for Regression LAINA Rajae1 and BOUMHIDI Ismail2 1, 2 Department of computer science, LESSI Laboratory, University of sidi Mohammed ben Abdellah, Faculty of sciences Dhar Mehraz, Fez, Morocco E-mail: 1lainarajae@ ABSTRACT In this work, a hybrid approach based on the Support Vector machines (SVM) and genetic algorithms (GA) is developed. The SVM are learning machines that can perform binary classification and real value function approximation (regression estimation) tasks. This tool of the artificial intelligence founded on the theory of the statistical learning was selected for its great capacity of training and generalization. Since its difficult to fund an explicit relation between such conditions and parameters, the SVM are used to approximate this relation, through their training from examples. To optimize the configuration of our approach, namely the structure which gives us the most precise result in terms of error of prediction, we used the genetic algorithms for the choice of hyper-parameters of the SVM. Keywords: Variable Speed wind Turbine, Sliding Mode Control, Genetic Algorithm, Support Vector Machines. 1 INTRODUCTION Wind energy is gaining increasing importance worldwide. The processes of industrialization and economic development require energy. Fuels are the main energy resource in the world and are at the center of the energy demands. Wind turbines using aerodynamic lift can be divided according to the orientation of the axis of rotation on the horizontal axis and vertical axis turbines. The horizontal axis or propeller-type approach currently dominates wind turbine applications. A horizontal axis wind turbine comprises a tower; a nacelle is mounted on top .