Application of DPC and DPC-GA to the dual-rotor wind turbine system with DFIG

Habib BENBOUHENNI

Abstract


The work presents the dual-rotor wind energy conversion system (DRWECS) with a direct driven doubly-fed induction generator (DFIG). The system consists of a dual-rotor wind turbine (DRWT) with a DFIG, the grid side converter (GSC), and the machine side converter (MSC). To command the MSC, the direct power command (DPC) based on genetic algorithm (GA)  and classical pulse width modulation (PWM) has been applied. To achieve the maximum power from the DRWT, the maximum power point tracking (MPPT) technique has been used. The performed simulation studies confirmed the high performances of the DPC-GA control method.

Keywords


DRWEC; DFIG; GA; DPC; PWM; MPPT; MSC; DRWT.

References


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.

H. Benbouhenni, Z. Boudjema, A. Belaidi, « Indirect vector control of a DFIG supplied by a two-level FSVM inverter for wind turbine system, » Majlesi Journal of Electrical Engineering, Vol. 13, No. 1, pp. 45-54, 2019.

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.

N. Khemiri, A. Khedher, M. F. Mimouni, « Wind energy conversion system using DFIG controlled by backstepping and sliding mode strategies, » International Journal of Renewable Energy Research, Vol. 2, No.3, pp. 422-435, 2012.

Y. Djeriri, «Lyapunov-based robust power controllers for a doubly fed induction generator, » Iranian Journal of Electrical and Electronic Engineering, Vol. 16, No. 4, pp. 551-558, 2020.

E. M. Youness, D. Aziz, E. G. Abdelaziz, B. Jamal, E. O. Najib, Z. Othmane, M. Khalid, B. Bossoufi, «Implementation and validation of backstepping control for PMSG wind turbine using dSPACE controller board, » Energy Reports, Vol. 5, pp. 807–821, 2019.

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 Application, Vol. 7, No. 8, pp. 49-56, 2016.

M. S. Raj, T. Saravanan, V. Srinivasan, « A modified direct torque control of induction motor using space vector modulation technique, » Middle-East Journal of Scientific Research, Vol. 20, No. 11, pp.1572-1574, 2014.

Wa Y., Yang W., « Different control strategies on the rotor side converter in DFIG-based wind turbines, » Energy Procedia, Elsevier, Vol. 100, pp. 551-555, 2016.

M. S. Raj, T. Saravanan, V. Srinivasan, « A modified direct torque control of induction motor using space vector modulation technique, » Middle-East Journal of Scientific Research, Vol. 20, No. 11, pp.1572-1574, 2014.

H. Benbouhenni, « Comparative Study between direct vector control and fuzzy sliding mode controller in three-level space vector modulation inverter of reactive and active power command of DFIG-based wind turbine systems, » International Journal of Smart Grid, Vol. 2, No. 4, pp. 188-196, 2018.

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, Vol. 15, No. 1, pp. 45-55, 2019.

H. Benbouhenni, « Reducing current and torque ripples in DVC control of DFIG operation at constant switching frequency for wind generation application, » Majlesi Journal of Energy Management, Vol. 8, No. 4, pp. 47-55, 2019.

H. Benbouhenni, Z. Boudjema, A. Belaidi, « DPC based on ANFIS super-twisting sliding mode algorithm of a doubly-fed induction generator for wind energy system, » Journal Européen des Systèmes Automatisés, Vol.53, No.1, pp. 69-80, 2020.

K. Boulaam, A. Mekhilef, « Output power control of a variable wind energy conversion system, » Rev. Sci. Techni.-Electrotechn. Et Energ. Vol. 62, No. 2, pp. 197-202, 2017.

M. V. Kazemi, A. S. Yazdankhah, H. M. Kojabadi, « Direct power control of DFIG based on discrete space vector modulation, » Renewable Energy, Vol. 35, pp. 1033-1042, 2010.

A. Izanlo, S. A. Gholamian, M. V. Kazemi, «Comparative study between two sensorless methods for direct power control of doubly fed induction generator, » Rev. Roum. Sci. Techn.-Electrotechn. Et Energ, Vol. 62, No. 4, pp. 358-364, 2017.

J. Hu, J. Zhu, D. G. Dorrell, « Predictive direct power control of doubly fed induction generators under unbalanced grid voltage conditions for power quality improvement, » IEEE Transactions on Sustainable Energy, Vol. 6, No. 3, 2015.

H. Benbouhenni, «Intelligence indirect vector control of a DFIG based wind turbines, » Majlesi Journal of Electrical Engineering, Vol. 13, No. 3, pp.27-35, 2019.

H. Benbouhenni «Robust direct power control of a DFIG fed by a five- level NPC inverter using neural SVPWM technique, » TECNICA ITALIANA-Italian Journal of Engineering Science, Vol. 65, No. 1, pp. 119-128, 2021. https://doi.org/10.18280/ti-ijes.650118.

H. Benbouhenni, Z. Boudjema, A. Belaidi, « DFIG-based wind energy conversion system using five-level FSVM technique, » Int. J. Renewable Energy Technology, Vol. 11, No. 2, pp. 147-164, 2020.

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.

T. Gonzales, A. Moreno, L. Fridman, «Variable gain super-twisting sliding mode control, » IEEE Transactions on Automatic Control, Vol. 57, No. 8, pp. 2100-2105, 2012.

I. Yaichi, A. Semmah, P. Wira, Y. Djeriri, «Super-twisting sliding mode control of a doubly-fed induction generator based on the SVM strategy, » Periodica Polytechnica Electrical Engineering and Computer Science, Vol. 63, No. 3, pp. 178–190, 2019.

H. Benbouhenni, Z. Boudjema, A. Belaidi, «Direct power control with NSTSM algorithm for DFIG using SVPWM technique, » Iranian Journal of Electrical & Electronic Engineering, Vol. 17, No. 1, pp.1-11, 2021.

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.

H. Benbouhenni, «Sliding mode with neural network regulateur for DFIG using two-level NPWM strategy, » Iranian Journal of Electrical & Electronic Engineering, Vol. 15, No. 3, pp.411-419, 2019.

S. Tayebi-Haghighi, F. Piltan, J. M. Kim, «Robust composite high-order super-twisting sliding mode control of robot manipulators, » Robotics, Vol. 7, No. 1, 2018.

Y. Guo, H. Long, « Self organizing fuzzy sliding mode controller for the position control of a permanent magnet synchronous motor drive, » Ain Shams Engineering Journal, Vol. 2 , pp. 109-118, 2011.

S. Gdaim, A. Mtibaa, and M. F. Mimouni, «Direct torque control of induction machine based on intelligent techniques, » International Journal of Computer Applications, Vol. 10, No. 8, pp. 29-35, 2010.

A. Bouyekni, R. Taleb, Z. Boudjema, H. Kahal, «A second-order continuous sliding mode based on DFIG for wind-turbine-driven DFIG, » Elektrotehniški Vestnik, Vol. 85, No. 1-2, pp. 29-36, 2018.

Y. Ibrahim, A. Semmah, W. Patrice, «Neuro-second order sliding mode control of a DFIG based wind turbine system,» Journal of Electrical and Electronics Engineering, Vol. 13, No. 1, pp.63-68, 2020.

H. Benbouhenni, « ANFIS-sliding mode control of a DFIG supplied by a two-level SVPWM technique for wind energy conversion system, » International Journal of Applied Power Engineering, Vol. 9, No. 1, pp. 36-47, 2020.

A. Yahdou, B. Hemici, Z. Boudjema, « Sliding mode control of dual rotor wind turbine system, » The Mediterranean Journal of Measurement and Control, Vol. 11, No. 2, pp. 412-419, 2015.

A. Yahdou, A. B. Djilali, Z. Boudjema, F. Mehedi, «Improved vector control of a counter-rotating wind turbine system using adaptive backstepping sliding mode,» Journal Européen des Systèmes Automatisés, Vol. 53, No. 5, pp. 645-651, October, 2020.

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. 3, pp.1-11, 2016.

H. Benbouhenni, « A comparative study between FSMC and FSOSMC strategy for a DFIG-based wind turbine system,» Majlesi Journal of Mechatronic Systems, Vol. 8, No. 2, 2019.

H. Benbouhenni, « Comparative study between PWM and SVPWM technique for a DFIG-based wind turbine system controlled by fuzzy sliding mode, » Majlesi Journal of Energy Management, Vol. 7, No. 4, 2018.

H. Benbouhenni, Z. Boudjema, A. Belaidi, « Power ripple reduction of DPC DFIG drive using ANN controller, » Acta Electrotechnica et Informatica, Vol. 20, No. 1, pp.15-22, 2020.

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. Tech.-Electrotechn. Et Energ, Vol. 61, No.3, pp. 263-268, 2016.

F. Amrane, A. Chaiba, B. Badr Eddine, M. Saad, « Design and implementation of high performance field oriented control for grid-connected doubly fed induction generator via hysteresis rotor current controller, » Rev. Roum. Sci. Tech.-Electrotechn. Et Energ, Vol. 61, No. 4, pp. 319-324, 2016.

Z. Boudjema, A. Meroufel, Y. Djerriri, E. Bounadja, « Fuzzy sliding mode control of a doubly fed induction generator for energy conversion, » Carpathian Journal of Electronic and Computer Engineering, Vol. 6, No. 2, pp.7-14, 2013.

F. Amrane, A. Chaiba, S. Mekhilef, « High performances of grid-connected DFIG based on direct power control with fixed switching frequency via MPPT strategy using MRAC and neuro-fuzzy control, » Journal of Power Technologies, Vol. 96, No.1, pp. 27-39, 2016.




DOI: http://doi.org/10.11591/ijra.v10i3.pp%25p

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