Open Access Open Access  Restricted Access Subscription or Fee Access

Nonlinear Feedback Control for a Complete Wind Energy Conversion System

Zineb Lahlou(1), Youssef Berrada(2*), Ismail Boumhidi(3)

(1) Faculty of Sciences, Physics Dept., Sidi Mohamed Ben Abdellah University, Morocco
(2) Faculty of Sciences, Physics Dept., Sidi Mohamed Ben Abdellah University, Morocco
(3) Faculty of Sciences, Physics Dept., Sidi Mohamed Ben Abdellah University, Morocco
(*) Corresponding author


DOI: https://doi.org/10.15866/ireaco.v12i3.16656

Abstract


A nonlinear full control system for a complete wind energy conversion system is investigated in this paper. The objective of the control is to maximize the captured wind energy and to reduce the aerodynamic loads of the turbine devices. The control structure is performed in cascade through two control loops. The internal regulation loop achieves effective tracking of the active-reactive power and electromagnetic torque of the generator, while the external regulation loop guarantees a precise tracking of the optimal value of rotor speed, in order to extract the maximum power available whatever the climatic conditions. The proposed nonlinear controller is developed based on the state feedback technique with the sliding mode approach for the external loop, and the state feedback technique with the classical PI controller for the internal loop. A nonlinear model of the aeroturbine and the DFIG generator is used to test the suggested control strategies under a variable wind speed. The whole wind turbine is modeled and simulated in MATLAB toolboxes. The simulation results are compared to nonlinear techniques recently published in this field.
Copyright © 2019 Praise Worthy Prize - All rights reserved.

Keywords


Variable Speed Wind Turbine; DFIG; Sliding Mode Approach; PI Controller

Full Text:

PDF


References


Ebrahimi, F. M., Khayatiyan, A. & Farjah, E. A novel optimizing power control strategy for centralized wind farm control system, Renewable Energy, 2016, 86, 399-408.
https://doi.org/10.1016/j.renene.2015.07.101

Menezes, E. J. N., Araújo, A. M. & da Silva, N. S. B. A review on wind turbine control and its associated methods, Journal of Cleaner Production, 2018, 174, 945-953.
https://doi.org/10.1016/j.jclepro.2017.10.297

Mishra, A., Tripathi, P. M., & Chatterjee, K. A review of harmonic elimination techniques in grid connected doubly fed induction generator based wind energy system. Renewable and Sustainable Energy Reviews, 2018,89, 1-15.
https://doi.org/10.1016/j.rser.2018.02.039

Amadou, M. M., Mehrjerdi, H., Saad, M., & Asber, D. Improving participation of doubly fed induction generator in frequency regulation in an isolated power system. International Journal of Electrical Power & Energy Systems, 2018,100, 550-558.
https://doi.org/10.1016/j.ijepes.2018.03.011

Asl, H. J., & Yoon, J. Power capture optimization of variable-speed wind turbines using an output feedback controller. Renewable Energy, 2016, 86, 517-525.
https://doi.org/10.1016/j.renene.2015.08.040

Huang, C., Li, F., & Jin, Z. Maximum power point tracking strategy for large-scale wind generation systems considering wind turbine dynamics. IEEE Transactions on Industrial Electronics, 2015, 62(4), 2530-2539.
https://doi.org/10.1109/tie.2015.2395384

Boukhezzar, B., & Siguerdidjane, H. Nonlinear control of a variable-speed wind turbine using a two-mass model, IEEE Transactions on Energy Conversion, 2011, 26(1), 149-162.
https://doi.org/10.1109/tec.2010.2090155

Rahimi, M. Coordinated control of rotor and grid sides converters in DFIG based wind turbines for providing optimal reactive power support and voltage regulation. Sustainable Energy Technologies and Assessments, 2017, 20, 47-57.
https://doi.org/10.1016/j.seta.2017.02.012

Gayen, P. K., Chatterjee, D., & Goswami, S. K. Stator side active and reactive power control with improved rotor position and speed estimator of a grid connected DFIG (doubly-fed induction generator). Energy, 2015, 89, 461-472.
https://doi.org/10.1016/j.energy.2015.05.111

K. Eftichios, K. Kostas, Design of a maximum power tracking system for windenergy-conversion applications, IEEE transaction on industrial electronics, vol. 53(2), April 2006.

Thakur, D., & Jiang, J. Active Power Control of Grid-connected Permanent Magnet Synchronous Generator-based Wind Turbines in the Presence of Voltage Sags, Electric Power Components and Systems, 2017, 45(14), 1512-1524.
https://doi.org/10.1080/15325008.2017.1347214

A. G. Abo-Khalil, D.C. Lee, MPPT Control of wind generation Systems based on estimated wind speed using SVR, IEEE Transaction on industrial electronics, 55, (3), Mars 2008.
https://doi.org/10.1109/tie.2007.907672

Kumar, D., & Chatterjee, K. A review of conventional and advanced MPPT algorithms for wind energy systems, Renewable and sustainable energy reviews, 2016, 55, 957-970.
https://doi.org/10.1016/j.rser.2015.11.013

Taherahmadi, J., Jafarian, M., & Asefi, M. N. Using adaptive control in DFIG-based wind turbines to improve the subsynchronous oscillations of nearby synchronous generators. IET Renewable Power Generation, 2016, 11(2), 362-369.
https://doi.org/10.1049/iet-rpg.2016.0105

Liu, X., Han, Y., & Wang, C. Second-order sliding mode control for power optimisation of DFIG-based variable speed wind turbine. IET Renewable Power Generation, 2016, 11(2), 408-418.
https://doi.org/10.1049/iet-rpg.2015.0403

Honrubia-Escribano, A., Gomez-Lazaro, E., Fortmann, J., Sørensen, P., & Martin-Martinez, S. Generic dynamic wind turbine models for power system stability analysis: A comprehensive review. Renewable and Sustainable Energy Reviews, 2017, 81, 1939–1952.
https://doi.org/10.1016/j.rser.2017.06.005

Berrada, Y., Boufounas, E. M., Boumhidi, I. Optimal neural network sliding mode control without reaching phase using genetic algorithm for a wind turbine. In 2015 10th International Conference on Intelligent Systems: Theories and Applications (SITA). IEEE. 2015, pp. 1-6.
https://doi.org/10.1109/sita.2015.7358405

Berrada, Y., & Boumhidi, I. Sliding mode control for a wind turbine in finite frequency. International Journal of Engineering Systems Modelling and Simulation, 2018, 10(1), 39-48.
https://doi.org/10.1504/ijesms.2018.090240

Fateh, F., White, W. N., Gruenbacher, D. A maximum power tracking technique for grid-connected DFIG-based wind turbines. IEEE Journal of Emerging and Selected Topics in Power Electronics, 2015, 3(4), 957-966.
https://doi.org/10.1109/jestpe.2015.2448633

Ghaffari, A., Krstic, M., & Seshagiri, S. Power optimization and control in wind energy conversion systems using extremum seeking. IEEE Transactions on Control Systems Technology, 2014, 22(5), 1684-1695.
https://doi.org/10.1109/tcst.2014.2303112

P. Li, J. Wang, L. Xiong, F. Wu, Nonlinear controllers based on exact feedback linearization for series-compensated DFIG-based wind parks to mitigate sub-synchronous control interaction. Energies, 2017, 10(8), 1182.
https://doi.org/10.3390/en10081182

Song, Y. D., Dhinakaran, B., & Bao, X. Y. Variable speed control of wind turbines using nonlinear and adaptive algorithms. Journal of Wind Engineering and Industrial Aerodynamics, 2000, 85(3), 293-308.
https://doi.org/10.1016/s0167-6105(99)00131-2

Valenciaga, F., & Puleston, P. F. Variable structure control of a wind energy conversion system based on a brushless doubly fed reluctance generator. IEEE Transactions on Energy Conversion, 2007, 22(2), 499-506.
https://doi.org/10.1109/tec.2006.875447

Bektache A, Boukhezzar B. Nonlinear predictive control of a DFIG-based wind turbine for power capture optimization. International Journal of Electrical Power & Energy Systems, 2018, 101:92-102.
https://doi.org/10.1016/j.ijepes.2018.03.012

Berrada, Y. Modeling, control and optimization of a wind system, Ph.D. thesis, Université Sidi Mohamed Ben Abdellah, May, 2018.

Boukhezzar B, Siguerdidjane H. Nonlinear control with wind estimation of a DFIG variable speed wind turbine for power capture optimization. Energy Conversion and Management, 2009, 50, 885–92.
https://doi.org/10.1016/j.enconman.2009.01.011

Abdeddaim, S., & Betka, A. Optimal tracking and robust power control of the DFIG wind turbine. International Journal of Electrical Power & Energy Systems, 2013, 49, 234-242.
https://doi.org/10.1016/j.ijepes.2012.12.014

Berrada, Y., & Boumhidi, I. Neural network sliding mode control with time-varying delay for a variable speed wind turbine. International Journal of Power and Energy Conversion, 2017, 8(4),343-356.
https://doi.org/10.1504/ijpec.2017.10007976

Berrada, Y., El Amrani, A., & Boumhidi, I. Feedback T-S Fuzzy Controller in Finite Frequency for Wind Turbine. Modeling, Identification and Control Methods in Renewable Energy Systems. Springer, Singapore, 2019. 265-280.
https://doi.org/10.1007/978-981-13-1945-7_13

Hand, M. M., Balas, M. J. Systematic controller design methodology for variable-speed wind turbines. Wind Engineering, 2000, 24(3), 169-187.
https://doi.org/10.1260/0309524001495549

Åström, K. J., & Hägglund, T. Revisiting the Ziegler–Nichols step response method for PID control, Journal of process control, 2004, 14(6), 635-650.
https://doi.org/10.1016/j.jprocont.2004.01.002

Hadjou, F., Tabbache, B., Berkouk, E., Noui, S., Benbouzid, M., Experimental Investigation of Wind Turbine Emulator for PMSM-Based Energy Conversion Systems, (2018) International Journal on Energy Conversion (IRECON), 6 (5), pp. 144-152.
https://doi.org/10.15866/irecon.v6i5.16276

Mohanty, K., Fuzzy Control of Wind Cage Induction Generator System, (2017) International Journal on Energy Conversion (IRECON), 5 (4), pp. 122-129.
https://doi.org/10.15866/irecon.v5i4.13755

Chakib, R., Essadki, A., Cherkaoui, M., Participation of DFIG Wind Turbine Controlled by Active Disturbance Rejection Control in Primary Frequency Control, (2016) International Review of Electrical Engineering (IREE), 11 (2), pp. 183-192.
https://doi.org/10.15866/iree.v11i2.8150

Sadek, M., Elkholy, M., Metwally, H., Efficient Operation of Wind Turbine with Doubly Fed Induction Generator Using TLBO Algorithm and Artificial Neural Networks, (2016) International Review on Modelling and Simulations (IREMOS), 9 (6), pp. 464-472.
https://doi.org/10.15866/iremos.v9i6.10309

El Malah, M., Ba-razzouk, A., Abdelmounim, E., Madark, M., Robust Nonlinear Sensorless MPPT Control with Unity Power Factor for Grid Connected DFIG Wind Turbines, (2018) International Review on Modelling and Simulations (IREMOS), 11 (5), pp. 313-324.
https://doi.org/10.15866/iremos.v11i5.15018

Reddak, M., Berdai, A., Gourma, A., Boukherouaa, J., Belfiqih, A., Enhanced Sliding Mode MPPT and Power Control for Wind Turbine Systems Driven DFIG (Doubly-Fed Induction Generator), (2016) International Review of Automatic Control (IREACO), 9 (4), pp. 207-215.
https://doi.org/10.15866/ireaco.v9i4.9739


Refbacks

  • There are currently no refbacks.



Please send any question about this web site to info@praiseworthyprize.com
Copyright © 2005-2020 Praise Worthy Prize