Comparative study between different vector control methods applied to DFIG wind turbines
Keywords:
Doubly fed induction generator (DFIG), artificial neural networks (ANNs), space vector modulation (SVM), total harmonic distortion (THD).
Abstract
In this work, the vector control methods of doubly-fed induction generator (DFIG) in wind energy conversion systems are studied. In the methods under study, the proper voltage space vector of the rotor side converter is selected using a proportional-integral (PI) controllers. The artificial neural networks (ANNs) based on space vector modulation (SVM) which is used to control the inverter in order to reduce the reactive and active power ripples and minimize the total harmonic distortion (THD) of the rotor current. Various simulations are performed in Matlab/Simulink software on a DFIG system in order to investigate the dynamic performance and robustness of the proposed control methods against machine internal parameters variations.
References
[1] Z. Boudjema, R. Taleb, Y. Djerriri, A. Yahdou, « A novel direct torque control using second order continuous sliding mode of a doubly fed induction generator for a wind energy conversion system, » Turkish Journal of Electrical Engineering & Computer Sciences, Vol. 25, pp. 965-975, 2017.
[2] F. Amrane, A. Chaiba, « A novel direct power control for grid-connected doubly fed induction generator based on hybrid artificial intelligent control with space vector modulation, » Rev. Roum. Sci. Techn.-Electrotechn. Et Energ, Vol. 61, No. 3, pp. 263-268, 2016.
[3] H. Nian, P. Cheng, Z. Q. Zhu, “Coordinated direct power control of DFIG system without locked loop under unbalanced grid voltage conditions,” IEEE Transactions on Power Electronics, Vol. 31, No. 4, 2015.
[4] J. Mohammadi, S. Vaez-Zadeh, S. Afsharnia, E. Daryabeigi, “A combined vector and direct power control for DFIG-based wind turbine,” IEEE Transactions on Sustainable Energy, Vol. 5, No. 3, 2014.
[5] H. Benbouhenni, Z. Boudjema, A. Belaidi, “ Neuro-second order sliding mode control of a DFIG supplied by a two-level NSVM inverter for wind turbine system, » Iranian Journal of Electrical and Electronic Engineering, Vol.14, No. 3, pp.362-373, 2018.
[6] H. Benbouhenni, Z. Boudjema, A. Belaidi, “ Using three-level Fuzzy space vector modulation method to improve indirect vector control strategy of a DFIG based wind energy conversion systems, » International Journal Of Smart Grid, Vol.2, No.3, pp.155-171, 2018.
[7] H. Benbouhenni, Z. Boudjema, A. Belaidi, “Direct vector control of a DFIG supplied by an intelligent SVM inverter for wind turbine system, » Iranian Journal of Electrical and Electronic Engineering, In Press, 2018.
[8] H. Benbouhenni, “ Comparative study between NSVM and FSVM strategy for a DFIG-based wind turbine system controlled by neuro-second order sliding mode,” Majlesi Journal of Mechatronic Systems, Vol. 7, No. 1, pp.33-43, 2018.
[9] A. Idir, M. Kidouche, “Direct torque control of three phase induction motor drive using fuzzy logic controllers for low torque ripple,” Proceedings Engineering & Technology, Vol. 2, pp. 78-83, 2013.
[10] M. Lešo, J. Žilková, M. Biroš, P. Talian, “Survey of control methods for DC-DC converters,” Acta Electrotechnica et Informatica, Vol. 18, No. 3, pp. 41-46, 2018.
[11] H. Benbouhenni, Z. Boudjema, A. Belaidi, “ Using three-level Fuzzy space vector modulation method to improve indirect vector control strategy of a DFIG based wind energy conversion systems,” International Journal Of Smart Grid, Vol.2, No.3, pp.155-171, 2018.
[12] S. A. Nowdeh, M. Chitsaz, S. Khanabdal,«Evaluation of 1-phase, 3-phase and hightning faults on wind frams using EMTP-RV, » Majlesi Journal of Electrical Engineering, Vol. 8, No. 1, pp. 53-61, 2014.
[13] H. Benbouhenni, Z. Boudjema, A. Belaidi, “ DFIG-based wind turbine system using four-level FSVM strategy, » Majlesi Journal of Energy Management, Vol. 6, No. 3, 2018.
[14] H. BENBOUHENNI, “ Comparative study between NSVM and FSVM strategy for a DFIG-based wind turbine system controlled by neuro-second order sliding mode,” Majlesi Journal of Mechatronic Systems, Vol. 7, No. 1, pp.33-43, 2018.
[15] K. Kerrouche, A. Mezouar, Kh. Belgacem, « Decoupled control of doubly fed induction generator by vector control for wind energy conversion system, » Energy Procedia, Elsevier, Vol. 42, pp. 239-248, 2013.
[16] A. Medjber, A. Moualdia, A. Mellit, M. A. Guessoum, « Comparative study between direct and indirect vector control applied to a wind turbine equipped with a double-fed asynchronous machine Article, » International Journal of Renewable Energy Research, Vol. 3, No. 1, pp. 88-93, 2013.
[2] F. Amrane, A. Chaiba, « A novel direct power control for grid-connected doubly fed induction generator based on hybrid artificial intelligent control with space vector modulation, » Rev. Roum. Sci. Techn.-Electrotechn. Et Energ, Vol. 61, No. 3, pp. 263-268, 2016.
[3] H. Nian, P. Cheng, Z. Q. Zhu, “Coordinated direct power control of DFIG system without locked loop under unbalanced grid voltage conditions,” IEEE Transactions on Power Electronics, Vol. 31, No. 4, 2015.
[4] J. Mohammadi, S. Vaez-Zadeh, S. Afsharnia, E. Daryabeigi, “A combined vector and direct power control for DFIG-based wind turbine,” IEEE Transactions on Sustainable Energy, Vol. 5, No. 3, 2014.
[5] H. Benbouhenni, Z. Boudjema, A. Belaidi, “ Neuro-second order sliding mode control of a DFIG supplied by a two-level NSVM inverter for wind turbine system, » Iranian Journal of Electrical and Electronic Engineering, Vol.14, No. 3, pp.362-373, 2018.
[6] H. Benbouhenni, Z. Boudjema, A. Belaidi, “ Using three-level Fuzzy space vector modulation method to improve indirect vector control strategy of a DFIG based wind energy conversion systems, » International Journal Of Smart Grid, Vol.2, No.3, pp.155-171, 2018.
[7] H. Benbouhenni, Z. Boudjema, A. Belaidi, “Direct vector control of a DFIG supplied by an intelligent SVM inverter for wind turbine system, » Iranian Journal of Electrical and Electronic Engineering, In Press, 2018.
[8] H. Benbouhenni, “ Comparative study between NSVM and FSVM strategy for a DFIG-based wind turbine system controlled by neuro-second order sliding mode,” Majlesi Journal of Mechatronic Systems, Vol. 7, No. 1, pp.33-43, 2018.
[9] A. Idir, M. Kidouche, “Direct torque control of three phase induction motor drive using fuzzy logic controllers for low torque ripple,” Proceedings Engineering & Technology, Vol. 2, pp. 78-83, 2013.
[10] M. Lešo, J. Žilková, M. Biroš, P. Talian, “Survey of control methods for DC-DC converters,” Acta Electrotechnica et Informatica, Vol. 18, No. 3, pp. 41-46, 2018.
[11] H. Benbouhenni, Z. Boudjema, A. Belaidi, “ Using three-level Fuzzy space vector modulation method to improve indirect vector control strategy of a DFIG based wind energy conversion systems,” International Journal Of Smart Grid, Vol.2, No.3, pp.155-171, 2018.
[12] S. A. Nowdeh, M. Chitsaz, S. Khanabdal,«Evaluation of 1-phase, 3-phase and hightning faults on wind frams using EMTP-RV, » Majlesi Journal of Electrical Engineering, Vol. 8, No. 1, pp. 53-61, 2014.
[13] H. Benbouhenni, Z. Boudjema, A. Belaidi, “ DFIG-based wind turbine system using four-level FSVM strategy, » Majlesi Journal of Energy Management, Vol. 6, No. 3, 2018.
[14] H. BENBOUHENNI, “ Comparative study between NSVM and FSVM strategy for a DFIG-based wind turbine system controlled by neuro-second order sliding mode,” Majlesi Journal of Mechatronic Systems, Vol. 7, No. 1, pp.33-43, 2018.
[15] K. Kerrouche, A. Mezouar, Kh. Belgacem, « Decoupled control of doubly fed induction generator by vector control for wind energy conversion system, » Energy Procedia, Elsevier, Vol. 42, pp. 239-248, 2013.
[16] A. Medjber, A. Moualdia, A. Mellit, M. A. Guessoum, « Comparative study between direct and indirect vector control applied to a wind turbine equipped with a double-fed asynchronous machine Article, » International Journal of Renewable Energy Research, Vol. 3, No. 1, pp. 88-93, 2013.
Published
2018-12-02
How to Cite
Benbouhenni, H. (2018). Comparative study between different vector control methods applied to DFIG wind turbines. Majlesi Journal of Mechatronic Systems, 6(4), 15-23. Retrieved from https://ms.majlesi.info/index.php/ms/article/view/382
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Articles
