Comparison Study between FPWM and NSVM Inverter in Neuro-sliding Mode Control of Reactive and Active Power Control of a DFIG-based Wind Energy
Keywords:
Neural space vector modulation; fuzzy pulse width modulation; neuro-sliding mode controller; doubly fed induction generator.
Abstract
In this article, we present a comparative study between neural space vector modulation (NSVM) and fuzzy pulse width modulation (FPWM) strategy in neuro-sliding mode controller (NSMC) of active and stator reactive power control of a doubly fed induction generator (DFIG). The obtained results showed that the proposed NSMC with FPWM technique have rotor current with low harmonic distortion and low powers ripples than NSVM technique.
References
REFERENCES
[1] Boudjema Z., Taleb R., Djerriri Y., Yahdou A., « 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] Utkin V. I., « Variable Structure systems with Sliding Modes, » lIEEE Transaction on Automatic Contro, 22, 2, 212-222, 1977.
[3] DeCarlo R. A., Zak S. H., Mathews G., «Variable structure control of nonlinear multivariable systems: A Tutorial,» Proceedings of the IEEE, Vol. 76, No. 3, 1988.
[4] Hung J. Y., Gao W., Hung J. C., « Variable Structure Control: A Survey, » IEEE Trans. on Industrial Electronics, Vol. 40, No. 1, 1993.
[5] Utkin V. I., « Sliding mode control design principles and applications to electric drives, » IEEE Trans. Ind. Electron, Vol. 40, No. 1, pp. 23-36, 1993.
[6] Karous D., Wamkeue R., « DFIG-based fuzzy sliding-mode control pf WECS with a flywheel energy storage, » Electr. Power Syst. Res, Vol. 93, pp. 16-23, 2012.
[7] Martinez M. I., Tapia G., Susperregui A., Camblong H., « Sliding mode control for DFIG rotor and grid side converter under balanced and harmonically distorted grid voltage, » IEEE Trans. Energy Convers, Vol. 27, No. 2, pp. 328-339, 2012.
[8] Chen S. Z., Cheung N. C., Wong K. C., Wu J., « Integral variable structure direct torque control of doubly fed induction generator, » IET Renew. Power Gener, Vol. 5, No. 1, pp. 18-25, 2011.
[9] Boudjema Z., Meroufel A., Djerriri Y., Bounadja E., « Fuzzy sliding mode control of a doubly fed induction generator for wind energy conversion, » Carpathian Journal of Electronic and Computer Engineering, Vol. 6, No. 2, pp. 7-14, 2013.
[10] Bishuang F., Guanzheng T., Shaosheng F., « Comparison of three different 2-D space vector PWM algorithms and their FPGA implementations, » Journal of Power Technologies, Vol. 94, No. 3, pp. 176-189, 2014.
[11] Krim S., Gdaim S., Mtibaa A., Mimouni M. F., « FPGA contribution in photovoltaic pumping systems: models of MPPT and DTC-SVM algorithms, » International Journal of Renewable Research, Vol. 6, No. 3, pp. 866-879, 2016.
[12] Allaoua B., Laoufi A., « A novel sliding mode fuzzy control based on SVM for electric vehicles propulsion system, » Energy Procedia, Science Direct, Vol. 36, pp. 120-129, 2013.
[13] Gaballah M., El-Bardini M., «Low cost digital signal generation for driving space vector PWM inverter, » Ain Shams Engineering Journal, Vol. 4, pp. 763-774, 2013.
[14] Benbouhenni H., Boudjema Z., Belaidi A., « 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, In Press, 2018.
[15] Benbouhenni H., Boudjema Z., Belaidi A., « 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.
[16] Boudjema Z., Taleb R., Yahdou A., Bouyekni A., « Fuzzy second order sliding mode control of a doubly-fed induction machine supplied by to matrix converters, » Journal of Electrical Engineering, Vol. 15, No.3, pp. 1-10, 2015.
[17] Bakouri A., Mahmoudi H., Abbou A., « Intelligent control for doubly fed induction generator connected to the electrical network, » International Journal of Power Electronics and Drive System, Vol. 7, No.3, pp. 688-700, 2016.
[18] Fekik A., Denoun H., Benamrouche N., Benyahia N., Zaouia M., « A Fuzzy –Logic Based Controller For Three Phase PWM Rectifier With Voltage Oriented Control Strategy, » International Journal Of Circuits, Systems And Signal Processing, Vol. 9, pp. 412-419, 2015.
[19] Massoum S., Meroufel A., Youcefa B. E., Massoum A., Wira P., « Three-level NPC converter-based neuronal direct active and reactive power control of the doubly fed induction machine for wind energy generation, » Majlesi Journal of Electrical Engineering, Vol. 11, No. 3, pp. 25-32, 2017.
[20] Khemiri N., Khedher A., Mimouni M. F., « 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.
[21] Djerriri Y., Meroufel A., Belabbas B., Massoum A., « Three-level NPC voltage source converter based direct power control of the doubly fed induction generator at low constant switching frequency, » Revue des Energies Renouvelables, Vol. 16, No. 1, pp. 91-103, 2013.
[1] Boudjema Z., Taleb R., Djerriri Y., Yahdou A., « 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] Utkin V. I., « Variable Structure systems with Sliding Modes, » lIEEE Transaction on Automatic Contro, 22, 2, 212-222, 1977.
[3] DeCarlo R. A., Zak S. H., Mathews G., «Variable structure control of nonlinear multivariable systems: A Tutorial,» Proceedings of the IEEE, Vol. 76, No. 3, 1988.
[4] Hung J. Y., Gao W., Hung J. C., « Variable Structure Control: A Survey, » IEEE Trans. on Industrial Electronics, Vol. 40, No. 1, 1993.
[5] Utkin V. I., « Sliding mode control design principles and applications to electric drives, » IEEE Trans. Ind. Electron, Vol. 40, No. 1, pp. 23-36, 1993.
[6] Karous D., Wamkeue R., « DFIG-based fuzzy sliding-mode control pf WECS with a flywheel energy storage, » Electr. Power Syst. Res, Vol. 93, pp. 16-23, 2012.
[7] Martinez M. I., Tapia G., Susperregui A., Camblong H., « Sliding mode control for DFIG rotor and grid side converter under balanced and harmonically distorted grid voltage, » IEEE Trans. Energy Convers, Vol. 27, No. 2, pp. 328-339, 2012.
[8] Chen S. Z., Cheung N. C., Wong K. C., Wu J., « Integral variable structure direct torque control of doubly fed induction generator, » IET Renew. Power Gener, Vol. 5, No. 1, pp. 18-25, 2011.
[9] Boudjema Z., Meroufel A., Djerriri Y., Bounadja E., « Fuzzy sliding mode control of a doubly fed induction generator for wind energy conversion, » Carpathian Journal of Electronic and Computer Engineering, Vol. 6, No. 2, pp. 7-14, 2013.
[10] Bishuang F., Guanzheng T., Shaosheng F., « Comparison of three different 2-D space vector PWM algorithms and their FPGA implementations, » Journal of Power Technologies, Vol. 94, No. 3, pp. 176-189, 2014.
[11] Krim S., Gdaim S., Mtibaa A., Mimouni M. F., « FPGA contribution in photovoltaic pumping systems: models of MPPT and DTC-SVM algorithms, » International Journal of Renewable Research, Vol. 6, No. 3, pp. 866-879, 2016.
[12] Allaoua B., Laoufi A., « A novel sliding mode fuzzy control based on SVM for electric vehicles propulsion system, » Energy Procedia, Science Direct, Vol. 36, pp. 120-129, 2013.
[13] Gaballah M., El-Bardini M., «Low cost digital signal generation for driving space vector PWM inverter, » Ain Shams Engineering Journal, Vol. 4, pp. 763-774, 2013.
[14] Benbouhenni H., Boudjema Z., Belaidi A., « 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, In Press, 2018.
[15] Benbouhenni H., Boudjema Z., Belaidi A., « 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.
[16] Boudjema Z., Taleb R., Yahdou A., Bouyekni A., « Fuzzy second order sliding mode control of a doubly-fed induction machine supplied by to matrix converters, » Journal of Electrical Engineering, Vol. 15, No.3, pp. 1-10, 2015.
[17] Bakouri A., Mahmoudi H., Abbou A., « Intelligent control for doubly fed induction generator connected to the electrical network, » International Journal of Power Electronics and Drive System, Vol. 7, No.3, pp. 688-700, 2016.
[18] Fekik A., Denoun H., Benamrouche N., Benyahia N., Zaouia M., « A Fuzzy –Logic Based Controller For Three Phase PWM Rectifier With Voltage Oriented Control Strategy, » International Journal Of Circuits, Systems And Signal Processing, Vol. 9, pp. 412-419, 2015.
[19] Massoum S., Meroufel A., Youcefa B. E., Massoum A., Wira P., « Three-level NPC converter-based neuronal direct active and reactive power control of the doubly fed induction machine for wind energy generation, » Majlesi Journal of Electrical Engineering, Vol. 11, No. 3, pp. 25-32, 2017.
[20] Khemiri N., Khedher A., Mimouni M. F., « 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.
[21] Djerriri Y., Meroufel A., Belabbas B., Massoum A., « Three-level NPC voltage source converter based direct power control of the doubly fed induction generator at low constant switching frequency, » Revue des Energies Renouvelables, Vol. 16, No. 1, pp. 91-103, 2013.
Published
2019-03-03
How to Cite
Benbouhenni, H. (2019). Comparison Study between FPWM and NSVM Inverter in Neuro-sliding Mode Control of Reactive and Active Power Control of a DFIG-based Wind Energy. Majlesi Journal of Energy Management, 6(4), 15-23. Retrieved from https://em.majlesi.info/index.php/em/article/view/338
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Articles
