International Journal of Electrical and Computer Engineering (IJECE) Vol. 5, No. 3, June 2015, pp. 379~390 ISSN: 2088-8708  379 Journal homepage: http://iaesjournal.com/online/index.php/IJECE A New Hybrid Artificial Neural Network Based Control of Doubly Fed Induction Generator G. Venu Madhav*, Y. P. Obulesu** * Department of Electrical and Electronics Engineering, B. V. Raju Institute of Technology, India ** Department of Electrical and Electronics Engineering, KL University, India Article Info ABSTRACT Article history: Received Nov 14, 2014 Revised Feb 19, 2015 Accepted Mar 2, 2015 In this paper, Hybrid Artificial Neural Network (ANN) with Proportional Integral (PI) control technique has been developed for Doubly Fed Induction Generator (DFIG) based wind energy generation system and the performance of the system is compared with NN and PI control techniques. With the increasing use of wind power generation, it is required to instigate the dynamic performance analysis of Doubly Fed Induction Generator under various operating conditions. In this paper, three control techniques have been proposed, the first one is using PI controller, the second one is ANN control, and the third one is based on combination of ANN and PI. The performance of the proposed control techniques is demonstrated through the results, determined by using MATLab/Simulink. From the results it is observed that the dynamic performance of the DFIG is improved with the Hybrid control technique. Keyword: Control strategy Doubly fed induction generator Neural networks Proportional integral Wind power generation Copyright © 2015 Institute of Advanced Engineering and Science. All rights reserved. Corresponding Author: G. Venu Madhav Department of Electrical and Electronics Engineering, Padmasri Dr. B. V. Raju Institute of Technology, Vishnupur, Narsapur, Medak Dist., 502313, AP, India. Email: venumadhav.gopala@gmail.com 1. INTRODUCTION Most of the countries in the world are now concentrating on renewable energy sources, in particularly wind energy. The increase in size and level of penetration of the wind farms has major impact on the power system including the unit commitment and load dispatch. It has impact on the voltage of the feeder and the substation when a local power system is considered, [1]-[2]. The increase in the growth and installed capacity of wind farms makes it necessary to investigate and develop different control capabilities and strategies. With the necessary control techniques, the wind farms can be made with the same features as that of conventional power plants. These capabilities and strategies includes the control of output active power and reactive power of the total wind farm, the control of affect of parameters of wind farm for any kind of abnormal condition in the grid. This makes the wind power plants to act as active components of the power supply system. The purpose and the main aim of these control capabilities are to optimize the generated power and to manage the safe limits along with automatic operation of the wind turbine. The optimization of generated power reduces the operating costs, enables uniform dynamic response and better product quality, and helps to minimize turbine loads which make safe operation of wind turbine with maximizing the capture of wind energy. With the aim of extracting the maximum wind power applied to fixed or variable speed wind turbines, many control strategies were developed by so many authors.