1. bookTom 12 (2019): Zeszyt 1 (September 2019)
Informacje o czasopiśmie
License
Format
Czasopismo
eISSN
2343-8908
Pierwsze wydanie
30 Sep 2018
Częstotliwość wydawania
2 razy w roku
Języki
Angielski
Otwarty dostęp

A comparative study between NSMC and NSOSMC strategy for a DFIG integrated into wind energy system

Data publikacji: 11 Oct 2019
Tom & Zeszyt: Tom 12 (2019) - Zeszyt 1 (September 2019)
Zakres stron: 1 - 8
Informacje o czasopiśmie
License
Format
Czasopismo
eISSN
2343-8908
Pierwsze wydanie
30 Sep 2018
Częstotliwość wydawania
2 razy w roku
Języki
Angielski

[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, Vol. 2, pp. 965-975, 2017.10.3906/elk-1510-89Search in Google Scholar

[2] F. Amrane, A. Chaiba, B. Babas, S. Mekhilef, « Design and implementation of high performance field oriented control for grid-connected doubly fed induction generator via hysteresis rotor current controller, » Rev. Roum. Sci. Techn.-Electrotechn. Et Energ, Vol. 61, No. 4, pp. 319-324, 2016.Search in Google Scholar

[3] Y. Bekakra, D. Ben Attous, « Comparison study between SVM and PWM inverter in sliding mode control of active and reactive power control of a DFIG for variable speed wind energy, » International Journal of Renewable Energy Research, Vol. 2, No. 3, pp. 471-476, 2012.Search in Google Scholar

[4] Z. Boudjema, R. Taleb, A. Yahdou, « A new DTC scheme using second order sliding mode and fuzzy logic of a DFIG for wind turbine system, » International Journal of Advanced Computer Science and Applications, Vol. 7, No. 8, pp. 49-56, 2016.10.14569/IJACSA.2016.070808Search in Google Scholar

[5] A. Yahdou, B. Hemici, Z. Boudjema, « Second order sliding mode control of a dual-rotor wind turbine system by employing a matrix converter, » Journal of Electrical Engineering, Vol. 16, No. 4, pp. 1-11, 2016.Search in Google Scholar

[6] 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.Search in Google Scholar

[7] M. Benkahla, R. Taleb, Z. Boudjema, « Comparative study of robust control strategies for a DFIG-based wind turbine, » International Journal of Advanced Computer Science and Applications, Vol. 7, No. 2, pp. 455-462, 2016.10.14569/IJACSA.2016.070261Search in Google Scholar

[8] A. Levant, « Integral high-order sliding modes, » IEEE Trans, Automatic Control, Vol. 52, No. 7, pp. 1278-1282, 2007.Search in Google Scholar

[9] Y. Bekakra, D. B. Attous, « DFIG sliding mode control driven by wind turbine with using a SVM inverter for improve the quality of energy injected into the electrical grid, » ECTI Transactions on Electrical Eng., Electronic, And Communications, Vol. 11, No. 1, pp. 63-75, 2013.Search in Google Scholar

[10] E. G. Shehata, « Sliding mode direct power control of RSC for DFIGs driven by variable speed wind turbines, » Alexandria Engineering Journal, Vol. 54, pp. 1067-1075, 2015.Search in Google Scholar

[11] O. Barambones, J. M. Gonzalez de Durana, « Sliding mode control for power output maximization in a wave energy systems, » Energy Procedia, Vol. 75, pp. 265-270, 2015.10.1016/j.egypro.2015.07.332Search in Google Scholar

[12] Z. Boudjema, A. Meroufel, A. Amari, « Robust control of a doubly fed induction generator (DFIG) fed by a direct AC-AC converter, » Przegląd Elektrotechniczny, Vol. 11, pp. 213-221, 2012.Search in Google Scholar

[13] S. E. Ardjoun, M. Abid, « Fuzzy sliding mode control applied to a doubly fed induction generator for wind turbines, » Turkish Journal of Electrical Engineering & Computer Sciences, Vol. 23, Vol. 6, pp. 1673-1686, 2015.Search in Google Scholar

[14] H. Benbouhenni, A. Moussaoui, Z. Boudjema, « Wind energy conversion systems based on a DFIG controlled by neuro-sliding mode control using NSVM and PWM, » International Conference on Electrical Engineering, December 17-18, 2018, El-oued, Algeria.Search in Google Scholar

[15] H. Benbouhenni, « Fuzzy second order sliding mode controller based on three-level fuzzy space vector modulation of a DFIG for wind energy conversion systems, » Majlesi Journal of Mechatronic Systems, Vol. 7, No. 3, 2018.Search in Google Scholar

[16] H. Benbouhenni, B. Zinelaabidine, B. Abdelkader, « Neuro-second order sliding mode control of a DFIG supplied by a two-level NSVM inverter for wind turbine system, » Iranian Journal of Electrical & Electronic Engineering, Vol.14, No. 3, pp. 362-373, 2018.Search in Google Scholar

[17] 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, 2017.Search in Google Scholar

[18] H. Benbouhenni, Z. Boudjema, A. Belaidi, « Direct vector command based on three-level NSVM of a doubly fed induction generator for wind energy conversion, » International Conference on Applied Smart Systems, November 24-25, 2018, Medea, Algeria.10.1109/ICASS.2018.8651957Search in Google Scholar

[19] 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, 2018, pp.155-171.Search in Google Scholar

[20] H. Benbouhenni, Z. Boudjema, A. Belaidi, « DFIG-based wind turbine system using three-level neural space vector modulation technique, » Majlesi Journal of Mechatronic Systems, Vol. 7, No. 2, 2018, pp. 35-45.Search in Google Scholar

[21] H. Benbouhenni, Z. Boudjema, A. Belaidi, « DFIG-based WT system using FPWM inverter, » International Journal Of Smart Grid, Vol. 2, No. 3, pp. 142-154, 2018.10.1504/IJDSSS.2019.103372Search in Google Scholar

[22] H. Benbouhenni, A. Moussaoui, Z. Boudjema, « Wind energy conversion systems based on a DFIG controlled by neuro-sliding mode control using NSVM and PWM, » International Conference on Electrical Engineering, December 17-18, 2018, El-oued, Algeria.Search in Google Scholar

[23] H. Benbouhenni, « Seven-level direct torque control of induction motor based on artificial neural networks with regulation speed using fuzzy PI controller, » Iranian Journal of Electrical and Electronic Engineering, Vol.14, No.1, pp. 85-94, 2018.10.11648/j.ijiis.20190805.11Search in Google Scholar

Polecane artykuły z Trend MD

Zaplanuj zdalną konferencję ze Sciendo