Modeling And Simulation Of Wind Turbine For Partial Load Operation

The purpose of this research is mainly to model a wind turbine with doubly fed induction generator (DFIG) and to investigate its behavior in partial load operation using computer simulation. System behavior analysis and simulation are two particular approaches applied in this research. The wind tur...

Full description

Saved in:
Bibliographic Details
Main Authors: Mohd Yassim, Halyani, Hussin, Mohamed Saiful Firdaus, M. S., Azizi, A., Tajul, R. F., Farhana
Format: Article
Language:English
Published: Asian Research Publishing Network (ARPN) 2016
Subjects:
Online Access:http://eprints.utem.edu.my/id/eprint/24000/2/jeas_0416_4049.pdf
http://eprints.utem.edu.my/id/eprint/24000/
http://www.arpnjournals.org/jeas/research_papers/rp_2016/jeas_0416_4049.pdf
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:The purpose of this research is mainly to model a wind turbine with doubly fed induction generator (DFIG) and to investigate its behavior in partial load operation using computer simulation. System behavior analysis and simulation are two particular approaches applied in this research. The wind turbine model is developed whereby the behavior of its main components is described by mathematical model and transformed in simulation model in MATLAB/Simulink. The simulation model is carried out in partial load operation at a wind speed of 9 m/s. The physical quantities including generator speed, torque and electrical power output are measured and evaluated. By using variable speed generator, a wind turbine model with optimum power generation at wind speed between 4 m/s to 13 m/s is created. This research shows that if mathematical models represent the wind turbine accurately, then the proposed model can be used to observe the dynamic behavior of wind turbine precisely, efficiently and inexpensively. The simulation result is expected to be a reference for extending the knowledge of dynamic behavior of wind turbines and optimize the performance of future large-scale wind turbine systems.