Research Article
Genetic Controller Stator-Flux Orientated Vector Control of Doubly-Fed Induction Generator for Wind Power Generation System
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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| Volume 179 - Issue 24 |
| Published: Mar 2018 |
| Authors: Hanan M. Dawood Habbi |
10.5120/ijca2018916324
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Hanan M. Dawood Habbi . Genetic Controller Stator-Flux Orientated Vector Control of Doubly-Fed Induction Generator for Wind Power Generation System. International Journal of Computer Applications. 179, 24 (Mar 2018), 28-32. DOI=10.5120/ijca2018916324
@article{ 10.5120/ijca2018916324,
author = { Hanan M. Dawood Habbi },
title = { Genetic Controller Stator-Flux Orientated Vector Control of Doubly-Fed Induction Generator for Wind Power Generation System },
journal = { International Journal of Computer Applications },
year = { 2018 },
volume = { 179 },
number = { 24 },
pages = { 28-32 },
doi = { 10.5120/ijca2018916324 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2018
%A Hanan M. Dawood Habbi
%T Genetic Controller Stator-Flux Orientated Vector Control of Doubly-Fed Induction Generator for Wind Power Generation System%T
%J International Journal of Computer Applications
%V 179
%N 24
%P 28-32
%R 10.5120/ijca2018916324
%I Foundation of Computer Science (FCS), NY, USA
Abstract
In this paper, a genetic controller that is described in wind power generation system. In order to model the system that based on stator vector control oriented (VCO), a dynamic mathematic model of doubly-fed induction generator (DFIG) is utilized. The comprehensive designed system includes the modeling of DFIG with space vector PWM on the rotor side grid as well as the gird area. The genetic algorithm used active and reactive power to obtain the required reference currents components. The simulation results demonstrate that the system performs a speed response without over shoot. The obtained simulation results are simulated by Matlab/Simulink 2017a.
References
- Mukund R. Patel “ Wind and Solar Power Systems, design, analysis , and operation”, Taylor & Francis, 2nd edition, 2006
- Tapia, G.; Tapia, A, Wind generation optimization algorithm for a doubly fed induction generator, IEEE proceedings, Generation, Transmission and Distribution, Vol.152,No.2, 253-263,2005.
- Hidehito Matayoshi, Koji Hata, Son N. Dang, Tomonobu Senjyu, Toshihisa Funabashim Abdul Motin Howlader, Nobuaki Hiranaka, ”Development of wind turbine controller for low wind speeds”, TENCON 2017, IEEE Region 10 Conference: Pages: 1733 – 1736, 2017.
- Chinchilla, M.; Arnaltes, S.; Burgos, J.C, Control of permanent-magnet generators applied to variable-speed wind-energy systems connected to the grid.,IEEE Transactions on Energy Conversion, Vol.21,No.1, 130-135,2006.
- Zhang, Z.-S. ; Sun, Y.-Z. ; Lin, J. ; Li, G.-J. ,Coordinated frequency regulation by doubly fed induction generator-based wind power plants, Renewable Power Generation, IET (Volume:6 , Issue: 1 ), 38 - 47 , January 2012.
- Scott J. Johnson, and Dale E. Berg, Active Load Control Techniques for Wind Turbines, Sandia National Laboratories, University of California, 2008.
- Uddin,M.N.; Wen,H, Development of a Self-Tuned Neuro-Fuzzy Controller for Induction Motor Drives, IEEE Transactions on Industry Applications, Vol.43,No.4, 1108-1116,2007.
- Bhowmik, S; Spee, R; Enslin, J.H.R, Performance optimization for doubly fed wind power generation system,IEEE Transactions on Industry Applications, Vol.35,No.4, 949-1999,1999.
- YuanYi, Chen Weijun, Motion control system, Tsinghua University Press, Beijing, China, 2006.
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