Neural network controller based induction generator for wind turbine applications

L  Rajaji  and C  Kumar

doi:10.17485/ijst/2009/v2i2.9

Article

Neural network controller based induction generator for wind turbine applications

VIEWS 705
PDF 282

Abstract
Full-Text HTML
Full-Text PDF
How to Cite

Indian Journal of Science and Technology

DOI: 10.17485/ijst/2009/v2i2.9

Year: 2009, Volume: 2, Issue: 2, Pages: 70-74

Original Article

Neural network controller based induction generator for wind turbine applications

L. Rajaji¹ and C. Kumar²

¹Sathyabama University, Chennai-600 119,²S.K.P. Engineering College, Thiruvannamalai-600 605, India.

*Author for the correspondence:
L. Rajaji
Sathyabama University,
Chennai-600 119
E-mail: [email protected]

This work is licensed under a Creative Commons Attribution 4.0 International License.

Abstract

This paper presents the analysis and simulation of stand-alone wind driven doubly fed induction generator using nueral network controller. With constant frequency, the machine is capable of generating constant voltage irrespective of speed and load variations. The variable speed wind turbines plays important role in wind energy market globally. Specially, the pitch regulated wind turbines with doubly fed induction generator (DFIG) systems are more popular and well proven technology across the world.

Keywords: DFIG, pitch regulation, IGBT, neural network.