Control and Optimization of a Wind Energy Conversion System Based on Doubly-Fed Induction Generator Using Nonlinear Control Strategies

Mohammed Fdaili, Ahmed Essadki, Mohamed Nadour, Tamou Nasser

Abstract


Classical vector control schemes use proportional-integral (PI) controllers for wind energy conversion system (WECS) based on doubly-fed induction generator (DFIG) present many drawbacks and limitations, such as sensibility to DFIG’s parameter variations, parameter adjustment difficulties and less robust against the external and internal disturbances. Therefore, and to overcome these inconveniences, nonlinear control strategies of the DFIG-model will be more appropriate to ensure better results than that of the PI controllers. In this paper, three control techniques: fuzzy-sliding mode (FSMC), second-order sliding mode (SOSMC) and integral backstepping (IBSC) for both the rotor side converter (RSC) and the grid side converter (GSC), using a pulse width modulation (PWM) with fixed switching frequency, of the whole WECS are presented and designed. The principal purpose of proposed control strategies is to extract the maximum power (MPPT) and keeping a stable operation of a DFIG and its converters during internal and external uncertainties. The overall results are afforded by simulation in the SIMULINK/MATLAB software. Simulation results exposed in this work demonstrate the robustness of each control strategy in spite of the different disturbances and uncertainties.

Keywords


Maximum power point tracking (MPPT); Wind Energy Conversion System (WECS); DFIG; Fuzzy-sliding mode; Second order sliding mode; Integral backstepping

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References


M. Doumi, A. G. Aissaoui, M. Abid, I. Colak, and A. Tahour. “Robust MRAC For A Wind Turbine Based On A Doubly-Fed Induction Generatorâ€, 6th International Conference on Renewable Energy Research and Applications, San Diego, CA, USA, 5-8 November 2017. (Conference Paper)

M. Fdaili, A. Essadki, T. Nasser, “Comparative Analysis Between Robust SMC & Conventional PI Controllers Used in WECS Based on DFIGâ€. IJRER, Vol. 7, pp. 2151-2161, 2017. (Article)

M. Nadour, A. Essadki, M. Fdaili, T. Nasser, “Advanced Backstepping Control of a Wind Energy Conversion System Using a Doubly-Fed Induction Generatorâ€, 5th International Renewable and Sustainable Energy Conference (IRSEC), Tangier, Morocco, 4-7 December 2017. (Conference Paper)

M. Achglaf, C. Nichita, B. Dakyo, “Control Strategies Design for a Small-Scale Wind Turbine with a Doubly Fed Induction Generatorâ€, 7th International Conference on Renewable Energy Research and Applications, Paris, France, 14-17 October 2018. (Conference Paper)

R. V. Jacomini, J. Alfeu, S. Filho, “Direct Power Control Strategy to Enhance the Dynamic Behavior of DFIG During Voltage Sagâ€, 7th International Conference on Renewable Energy Research and Applications, Paris, France, 14-17 October, 2018. (Conference Paper)

K, Boulaam, A. Boukhelifa. “Fuzzy Sliding Mode Control of DFIG Power for a Wind Conversion Systemâ€. 16th International Power Electronics and Motion Control Conference and Exposition, Antalya, Turkey, 21-24 September, 2014. (Conference Paper)

S. Ardjoun, M. Abid, “Fuzzy sliding mode control applied to a doubly fed induction generator for wind turbinesâ€. Turkish J Electr Eng Comput Sci, Vol. 23, pp. 1673-1686, 2015. (Article)

G. Zoubir, B. Cheikh, A. Tayeb, B. Belkacem, “Speed-Sensorless DFIG Wind Turbine for Power Optimization Using Fuzzy Sliding Mode Observerâ€, IJRER, Vol. 7, No. 2, pp. 613-621, 2017. (Article)

A. Damiano, GL. Gatto, I. Marongiu, A. Pisano, “Second-order sliding-mode control of dc drivesâ€, IEEE Trans Ind Electron, Vol. 51, pp- 364-373, 2004. (Article)

I. Guenoune, F. Plestan, A. Chermitti, “Control of a New Structure of twin wind turbineâ€, 5th International Conference on Renewable Energy Research and Applications, Birmingham, UK, 20-23 November 2016. (Conference Paper)

M. Hoshyar, M. Mola, “Full Adaptive Integral Backstepping Controller for Interior Permanent Magnet Synchronous Motorsâ€. Asian J Control, Vol. 20, pp. 1-12, 2017. (Article)

Z. Boudjema, R. Taleb, E. Bounadja, “A new robust control scheme using second order sliding mode and fuzzy logic of a DFIM supplied by two five-level SVPWM invertersâ€, AIP Conference Proceedings, pp. 1-15, 2017. (Conference Paper)

I. Kharchouf, A. Essadki, M. Arbaoui, T. Nasser, “Modeling and PI Control Strategy of DFIG Based Wind Energy Conversion Systemsâ€, 5th International Renewable and Sustainable Energy Conference (IRSEC), Tangier, Morocco, 4-7 December 2017. (Conference Paper)

R. D. Shukla, R. K. Tripathi, “Instantaneous direct voltage and frequency control in DC grid tied DFIG based wind energy systemâ€, Electrical Power and Energy Systems, Vol. 100, pp. 309-319, 2018. (Article)

Y. C. liu, S. Laghrouche, A. N’Diaye, M. Cirrincione. “Active-Flux-Based Super-Twisting Sliding Mode Observer for Sensorless Vector Control of Synchronous Reluctance Motor Drivesâ€, 7th International Conference on Renewable Energy Research and Application, Paris, France, 14-17 October 2018. (Conference Paper)

B. Meghni, D. Dib, AT. Azar, “A second-order sliding mode and fuzzy logic control to optimal energy management in wind turbine with battery storageâ€, Neural Comput & Appl, Vol. 28, pp. 1417-1438, 2017. (Article)

A. Levant, “High-order sliding modes, differentiation and output-feedback controlâ€. Int J Control, Vol. 76, pp. 924-941, 2003. (Article)

A. Levant, L. Alelishvili, “Integral High-Order Sliding Modesâ€, IEEE TRANSACTIONS ON AUTOMATIC CONTROL, Vol. 52, pp. 1278-1282, 2007. (Article)

O. Adekanle, M. Guisser, E. Abdelmounim, M. Aboulfatah, “Integral Backstepping controller combined with High Gain Observer for the optimization of grid-connected Doubly-Fed Induction Generatorâ€, International Conference on Wireless Technologies, Embedded and Intelligent Systems (WITS), Fez, Morocco, 19-20 April 2017. (Conference Paper)

A. Dida, D. Benattous, “A complete modeling and simulation of DFIG based wind turbine system using fuzzy logic controlâ€, Front Energy, Vol. 10, pp. 143-154, 2016. (Article)




DOI (PDF): https://doi.org/10.20508/ijrer.v9i1.8812.g7619

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