A FUZZY-PI CONTROLLER FOR WIND TURBINE DRIVEN DFIG OPTIMIZED USING GENETIC ALGORITHMS

Lawrence K. Letting, Josiah L. Munda, Yskandar Hamam

Abstract

This paper presents the design of optimal TSK-fuzzy PI controller for the rotor side converter (RSC) of a doubly fed induction generator (DFIG) in a grid connected wind generation system. The optimization strategy is based on binary genetic algorithms. The controller is used to regulate the active and reactive power and hence extract maximum energy from the system under varying wind speeds. Pitch angle control is used to regulate the rotor angular speed while the active and reactive power are controlled by the rotor voltage supplied by the RSC. The stator flux oriented reference frame is adopted. A fuzzy-PI controller with a minimum rule base of nine rules is realized. The controller is implemented in C code as a dynamic linked library and simulated using LabVIEW. Simulation results are presented.

References

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Paper Citation


in Harvard Style

K. Letting L., L. Munda J. and Hamam Y. (2011). A FUZZY-PI CONTROLLER FOR WIND TURBINE DRIVEN DFIG OPTIMIZED USING GENETIC ALGORITHMS . In Proceedings of 1st International Conference on Simulation and Modeling Methodologies, Technologies and Applications - Volume 1: SIMULTECH, ISBN 978-989-8425-78-2, pages 348-353. DOI: 10.5220/0003601403480353


in Bibtex Style

@conference{simultech11,
author={Lawrence K. Letting and Josiah L. Munda and Yskandar Hamam},
title={A FUZZY-PI CONTROLLER FOR WIND TURBINE DRIVEN DFIG OPTIMIZED USING GENETIC ALGORITHMS},
booktitle={Proceedings of 1st International Conference on Simulation and Modeling Methodologies, Technologies and Applications - Volume 1: SIMULTECH,},
year={2011},
pages={348-353},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003601403480353},
isbn={978-989-8425-78-2},
}


in EndNote Style

TY - CONF
JO - Proceedings of 1st International Conference on Simulation and Modeling Methodologies, Technologies and Applications - Volume 1: SIMULTECH,
TI - A FUZZY-PI CONTROLLER FOR WIND TURBINE DRIVEN DFIG OPTIMIZED USING GENETIC ALGORITHMS
SN - 978-989-8425-78-2
AU - K. Letting L.
AU - L. Munda J.
AU - Hamam Y.
PY - 2011
SP - 348
EP - 353
DO - 10.5220/0003601403480353