Modeling and Robust Control with Wind Speed Estimation by Artificial Neural Networks of a DFIG Wind Turbine Under Both Normal Operation and Grid Fault

Anass Bakouri; Hassane Mahmoudi; Ahmed Abbou

doi:10.15866/iree.v12i2.11343

Modeling and Robust Control with Wind Speed Estimation by Artificial Neural Networks of a DFIG Wind Turbine Under Both Normal Operation and Grid Fault

Anass Bakouri^(1*), Hassane Mahmoudi⁽²⁾, Ahmed Abbou⁽³⁾

^(*) Corresponding author

Authors' affiliations

DOI: https://doi.org/10.15866/iree.v12i2.11343

Abstract

For high performance and reliability of the wind turbine generator based on doubly fed induction generator connected to the electrical network through back-to-back converter, we propose in this paper the wind speed estimation algorithm based on artificial neural network in order to eliminate the need of using the anemometer to measure wind speed. On the basis of the ANN algorithm to estimate the wind speed, a developed control strategy consists on using the ﬁeld oriented technique without any simpliﬁcation in the DFIG model. The objective to be achieved with this control strategy is to maximize the captured power with the MPPT algorithm at low to medium wind speeds. The major advantage of the proposed control law is that when the stator voltage drops to an acceptable value, this control system is not too much influenced. Simulation results for 1,5 MW, with a DFIG based Wind Energy Conversion System (WECS) confirm the effectiveness and the performance of the global proposed approaches.
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Keywords

Doubly Fed Induction Generator (DFIG); Maximum Power Point Tracking (MPPT); Wind Energy Conversion System (WECS); Artificial Neural Network (ANN)

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References

A.Luna, F. Kleber, D. Santos, P.Rodríguez, E.H. Watanabe and S. Arnaltes, “Simplified modeling of a DFIG for transient studies in wind power applications,” IEEE Transactions On Industrial, vol. 58, no. 1, pp. 9-20, 2011.
http://dx.doi.org/10.1109/tie.2010.2044131

R. Datta and V. T. Ranganathan, “Variable-speed wind power genera-tion using doubly fed wound rotor induction—a comparison with al-ternative schemes,” IEEE Trans. Energy Conversion, vol. 17, no. 3, pp. 414–421, Sep. 2002.
http://dx.doi.org/10.1109/tec.2002.801993

Chun Wei, Liyan Qu, and Wei Qiao, “Evaluation of ANN Estimation-Based MPPT Control for a DFIG Wind Turbine,” IEEE Symposium on Power Electronics and Machines for Wind and Water Applications, 2014
http://dx.doi.org/10.1109/pemwa.2014.6912224

Anass Bakouri, Hassane Mahmoudi, Ahmed Abbou, “ Intelligent Control for Doubly Fed Induction Generator Connected to the Electrical Network”, International Journal of Power Electronics and Drive System (IJPEDS), Vol. 7, No. 3, pp. 688~700, September 2016
http://dx.doi.org/10.11591/ijpeds.v7.i3.pp688-700

Q. Wang and L. Chang, “ An Intelligent Maximum Power ExtractionAlgorithm for Inverter-based Variable Speed Wind Turbine System”, IEEETrans. Power Electron., vol. 19, no. 5, pp. 1242-1249, Sep. 2004.
http://dx.doi.org/10.1109/tpel.2004.833459

Cardenas RJ, Pena RS, Asher J, Asher GM, Clare JC. “Sensorless control of a doubly-fed induction generator for stand alone operation,” IEEE 35th annual power electronics specialists conference, vol. 5, pp. 3378–83, 2004.
http://dx.doi.org/10.1109/pesc.2004.1355072

J. Hu and X. Yuan,” VSC-based direct torque and reactive power control of doubly fed induction generator,” Renewable Energy vol. 40, pp 13-23, 2012.
http://dx.doi.org/10.1016/j.renene.2011.08.023

Shuhui Li, Timothy A. Haskew, Rajab Challoo and Marty Nemmers, “ Wind power extraction from DFIG wind turbines using stator-voltage and stator-flux oriented frames,” International Journal of Emerging Electric Power Systems, vol 12, Issue 3, 2011.
http://dx.doi.org/10.2202/1553-779x.2676

Lie Xu, and P. Cartwright, “ Direct active and reactive power control of dfig for wind energy generation,” IEEE Transactions On Energy Conversion, vol. 21, no. 3, pp.750-758, 2006.
http://dx.doi.org/10.1109/tec.2006.875472

Fatma Hachicha and Lotﬁ Krichen, “Rotor power control in doubly fed induction generator wind turbine under grid faults,” Energy. vol. 44, pp. 853-861, 2012.
http://dx.doi.org/10.1016/j.energy.2012.05.007

E. Muljadi and CP. Butterﬁeld, “Pitch-controlled variable-speed wind turbine generation,” IEEE Transactions on Industry Applications, vol. 37, no. 1, January/February 2001.
http://dx.doi.org/10.1109/28.903156

Endusa Billy Muhando, Tomonobu Senjyu, Aki Uehara, Toshihisa Funabashi, and Chul-Hwan Kim, “ LQG design for megawatt-class wecs with dfig based on functional models fidelity,” IEEE Trans. Energy Conversion, vol. 24, no. 4, pp. 893-904, Dec. 2009.
http://dx.doi.org/10.1109/tec.2009.2025338

B. Boukhezzar and H. Siguerdidjane, “ Nonlinear control with wind estimation of a DFIG variable speed wind turbine for power capture optimization”, Energy Conversion and Management, vol. 50, pp. 885-892 , 2009.
http://dx.doi.org/10.1016/j.enconman.2009.01.011

Wei Qiao, Wei Zhou, José M. Aller, and Ronald G. Harley, “Wind Speed Estimation Based Sensorless Output Maximization Control for a Wind Turbine Driving a DFIG”, IEEE Transactions On Power Electronics, Vol. 23, No. 3, May 2008
http://dx.doi.org/10.1109/tpel.2008.921185

S. Muller; M. Deicke; R. W. De Doncker ,“Doubly fed induction generator systems for wind turbines ”,IEEE Industry Applications Magazine, Vol: 8, Issue: 3 ,2002
http://dx.doi.org/10.1109/2943.999610

Anass Bakouri, Hassane. Mahmoudi, Ahmed. Abbou, Mohamed. Moutchou,“Optimizing the Wind Power Capture by Using DTC Technique Based on Artificial Neural Network for a DFIG Variable Speed Wind Turbine”,10th International Conference on Intelligent Systems: Theories and Applications (SITA), 2015
http://dx.doi.org/10.1109/sita.2015.7358425

G. Venu Madhav and Y. P. Obulesu, “ Direct Torque Control Strategy for Doubly Fed Induction Machine under Low Voltage Dips”, IJPEDS, vol.2, no.4, December 2012, pp. 409-416, 2012
http://dx.doi.org/10.11591/ijpeds.v2i4.710

Khouloud Bedoud, Mahieddine Ali-rachedi, Tahar Bahi, Rabah Lakel,Azzeddine Grid,“ Robust Control of Doubly Fed Induction Generator For Wind Turbine Under Subsynchronousoperation Mode,”Energy Procedia, The International Conference on Technologies and Materials for Renewable Energy, Environment and Sustainability –TMREES15 , pp 886–899, Vol 74, August 2015
http://dx.doi.org/10.1016/j.egypro.2015.07.824

Aimani SE. “Modélisation de différentes technologies d’éoliennes intégréesdans un réseau moyenne tension,” Ph.D. thesis, Ecole Centrale de Lille-Université des Sciences et Technologies de Lille 1 , December 2004.
http://dx.doi.org/10.3845/ree.2005.048

El Kachani, A., Chakir, E., Ait laachir, A., Jarou, T., Niaaniaa, A., Zerouaoui, J., Sedra, M., AC Grid Connected DFIG-Based Wind Turbine with Shunt Active Power Filter Based on Nonlinear Predictive Control, (2015) International Review on Modelling and Simulations (IREMOS), 8 (3), pp. 354-361.
http://dx.doi.org/10.15866/iremos.v8i3.6070

Majdoub, Y., Abbou, A., Akherraz, M., El Akhrif, R., Intelligent Backstepping Control of Variable Speed DFIG-Wind Turbine Under Unbalanced Grid Voltage Conditions Using Genetic Algorithm Optimization, (2015) International Review of Electrical Engineering (IREE), 10 (6), pp. 716-726.
http://dx.doi.org/10.15866/iree.v10i6.7530

Chakib, R., Essadki, A., Cherkaoui, M., Modeling and Control of a Wind System based on a DFIG by Active Disturbance rejection control, (2014) International Review on Modelling and Simulations (IREMOS), 7 (4), pp. 626-637.
http://dx.doi.org/10.15866/iremos.v7i4.2386

Romphochai, S., Hongesombut, K., Modeling and Simulations of BSCCO Superconducting Fault Current Limiter for Fault Ride through Capability Enhancement of DFIG Wind Turbines, (2015) International Review on Modelling and Simulations (IREMOS), 8 (5), pp. 550-557.
http://dx.doi.org/10.15866/iremos.v8i5.7360

Boukhriss, A., Nasser, T., Essadki, A., Boualouch, A., Improved Control for DFIG used in Wind Energy Conversion Systems, (2014) International Review of Automatic Control (IREACO), 7 (4), pp. 403-411.

Zebirate, S., Chaker, A., Feliachi, A., Neural Predictive Control of a Doubly Fed Induction Generator, (2014) International Review on Modelling and Simulations (IREMOS), 7 (5), pp. 782-790.
http://dx.doi.org/10.15866/iremos.v7i5.3104

Ahmed, I., Zobaa, A., Comparative Power Quality Study of Variable Speed Wind Turbines, (2016) International Journal on Energy Conversion (IRECON), 4 (4), pp. 97-104.
http://dx.doi.org/10.15866/irecon.v4i4.10828

Chakib, R., Essadki, A., Cherkaoui, M., Reactive Power Control of DFIG-Based Wind Farm for Participation in Voltage Control, (2016) International Review of Automatic Control (IREACO), 9 (6), pp. 413-422.
http://dx.doi.org/10.15866/ireaco.v9i6.10261

Jafari, H., Radan, A., Comparison between Self Tuning PI Voltage Control of DFIG and a Combinational Control for Improved Wind Turbines, (2014) International Journal on Energy Conversion (IRECON), 2 (5), pp. 167-171.

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