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The Comparison and Analysis of the DFIG Behavior Under PI, Fuzzy and Sliding Mode Controllers for Wind Energy Conversion System in the Grid Connected Mode

Hicham Lhachimi(1*), Yassine Sayouti(2), Youssef Elkouari(3)

(1) The Laboratory of Physics of Condensed Matter and Renewable Energy, Hassan II University, Morocco
(2) The Laboratory of Electronics, Energy, automation and information processing, Hassan II University, Morocco
(3) The Laboratory of Physics of Condensed Matter and Renewable Energy, Hassan II University, Morocco
(*) Corresponding author


DOI: https://doi.org/10.15866/ireaco.v11i3.14322

Abstract


In this paper, the vector control strategy along with a non linear control are applied to the doubly fed induction generator (DFIG) based wind energy. Three control strategies (PI, Fuzzy and sliding mode control) are explained, analysed and compared in terms of response time, harmonic filtering and robustness to the parametric variation. These control strategies are evaluated in the steady and transient state to control both the active and the reactive power in the grid connected mode. The analysis of the DFIG behaviour under the mentioned control strategies is verified in the simulations. Also, a representation of numerical results is displayed in a summary table. The three strategies control present some advantages and drawbacks in term of performances when they operate with power optimization and power limitation strategies. However, the sliding mode control is better under the parameters variation and speed change. Although, the fuzzy control delivers a fast response time and presents a good harmonic distortion value(THD) while the PI control ensures a perfect precision during constant wind speeds.
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Keywords


Doubly Fed Induction Generator; Fuzzy Control; MPPT; PI Control; Pitch Control; Sliding Mode Control; THD; Vector Control; Wind Turbine

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References


N. K. S.Naidu, B.Singh, Grid Interfaced DFIG Based Variable Speed Wind Energy Conversion System with Power Smoothening, IEEE Transactions on Sustainable Energy, vol.8, issue.1, 2017, pp.51-58.
http://dx.doi.org/10.1109/tste.2016.2582520

Topić, D., Šljivac, D., Stojkov, M., Availability of Different Wind Power Plant Configurations Based on Components Performance Statistics, (2015) International Review of Electrical Engineering (IREE), 10 (3), pp. 414-420.
http://dx.doi.org/10.15866/iree.v10i3.5681

Pujiantara, M., Putri, R., Wibowo, A., Setiawan, I., Priyadi, A., Sidarjanto, S., Purnomo, M., Output Power Smoothing of Doubly Fed Induction Generator Wind Turbine Using Very Short Term Wind Speed Prediction Based on Levenberg–Marquardt Neural Network, (2015) International Review on Modelling and Simulations (IREMOS), 8 (5), pp. 558-565.
http://dx.doi.org/10.15866/iremos.v8i5.7363

Romphochai, S., Hongesombut, K., Fuzzy Logic Voltage Regulator for Improving Transient Stability and Fault Ride Through Capability of DFIG Wind Turbines, (2015) International Review of Electrical Engineering (IREE), 10 (5), pp. 670-677.
http://dx.doi.org/10.15866/iree.v10i5.7403

S.Swain, P.K.Ray, Short circuit fault analysis in a grid connected DFIG based wind energy system with active crowbar protection circuit for ride through capability and power quality improvement, Electrical Power and Energy Systems vol.84, 2017, pp. 64-75.
http://dx.doi.org/10.1016/j.ijepes.2016.05.006

C.Mehdipour, A.Hajizadeh, I.Mehdipour, Dynamic modeling and control of DFIG-based wind turbines under balanced network conditions, Electrical Power and Energy Systems vol. 83, 2016, pp. 560– 569.
http://dx.doi.org/10.1016/j.ijepes.2016.04.046

R.R.Londero, C.M.Affonso, J.P.A.Vieira, Effects of operational limits of DFIG wind turbines on long-term voltage stability studies, Electric Power Systems Research vol. 142, 2017, pp.134–140.
http://dx.doi.org/10.1016/j.epsr.2016.09.007

A.M. ShiddiqYunus, A. Abu-Siada, M.A.S. Masoum, Improving dynamic performance of wind energy conversion systems using fuzzy-based hysteresis current-controlled superconducting magnetic energy storage, IET Power Electronics vol.5, issue.8, 2012, pp.1305–1324.
http://dx.doi.org/10.1049/iet-pel.2012.0135

K.Dösoglu, A new approach for low voltage ride through capability in DFIG based wind farm, Electrical Power and Energy Systems vol.83, 2016, pp.251-258.
http://dx.doi.org/10.1016/j.ijepes.2016.04.027

Kerrouche, K., Mezouar, A., Boumediene, L., Belgacem, K., Modeling and Optimum Power Control Based DFIG Wind Energy Conversion System, (2014) International Review of Electrical Engineering (IREE), 9 (1), pp. 174-185.
http://dx.doi.org/10.15866/iree.v9i1.118

S.Datta, J.P.Mishra, A.K.Roy, Modified speed sensor-less grid connected DFIG based wind energy conversion system for decoupled control of active and reactive power, International Conference on Power and Advanced Control Engineering (ICPACE), August 12-14, 2015, India.
http://dx.doi.org/10.1109/icpace.2015.7274912

R.Maharjan, S.Kamalasadan, Real-time simulation for active and reactive power control of doubly fed induction generator, North American Power Symposium (NAPS), September 22-24, 2013, USA.
http://dx.doi.org/10.1109/naps.2013.6666957

Laoufi, C., Abbou, A., Sayouti, Y., Akherraz, M., Self Tuning Fuzzy Logic Speed Controller for Performance Improvement of an Indirect Field-Oriented Control of Induction Machine, (2013) International Review of Automatic Control (IREACO), 6 (4), pp. 464-471.

Othmani, H., Sassi, F., Mezghani, D., Mami, A., Comparative Study between Fuzzy Logic Control and Sliding Mode Control for Optimizing the Speed Deportment of a Three Phase Induction Motor, (2016) International Review of Automatic Control (IREACO), 9 (3), pp. 175-181.
http://dx.doi.org/10.15866/ireaco.v9i3.9269

M.Alivirdizadeh, N.M.Tabatabaei, A.Demiroren, N.S.Boushehri, Transient stability improving of power system including DFIG based wind farm by using fuzzy logic controller, International Journal on Technical and Physical Problems of Engineering, Vol.4, 2012, pp.66–73.

P.Drewangan, S.D.Bharti, Grid connected doubly fed induction generator wind energy conversion system using fuzzy controller, International Journal of Innovative Technology and Exploring Engineering, Vol.2, issue.2, 2013.

Gupta, N., Singh, S.P., Dubey, S.P., Palwalia, D.K., Fuzzy logic controlled three-phase three-wired shunt active power filter for power quality improvement, (2011) International Review of Electrical Engineering (IREE), 6 (3), pp. 1118-1129.

H.K.Davijani, A.Sheikholeslami, H.Livani, M.K.Davijani, Fuzzy logic control of doubly fed induction generator wind turbine, World Applied Sciences Journal vol.6, issue.4, 2009, pp.499–508.

Rouabhi, R., Abdessemed, R., Chouder, A., Djerioui, A., Power Quality Enhancement of Grid Connected Doubly-Fed Induction Generator Using Sliding Mode Control, (2015) International Review of Electrical Engineering (IREE), 10 (2), pp. 266-276.
http://dx.doi.org/10.15866/iree.v10i2.5347

B.Hamane, M.L.Doumbia, M.Bouhamida, A. Draou, H.Chaoui, M.Benghanem, Comparative Study of PI, RST, Sliding Mode and Fuzzy Supervisory Controllers for DFIG based Wind Energy Conversion System, International Journal of Renewable Energy Research vol.5, issue.4, 2015, pp. 1174-1185.

H.Merabet, T.Bahi, N.Halem, Condition Monitoring and Fault Detection in Wind Turbine Based on DFIG by the Fuzzy Logic, Energy Procedia vol.74, 2015, pp. 518-528.
http://dx.doi.org/10.1016/j.egypro.2015.07.737

F. Akel, T. Ghennam, E.M. Berkouk, M. Laour, An improved sensorless decoupled power control scheme of grid connected variable speed wind turbine generator, Energy Conversion and Management vol.78, 2014, pp. 584–594.
http://dx.doi.org/10.1016/j.enconman.2013.11.015

H.Lhachimi, Y.Sayouti, Y.Elkouari, Control strategy of DFIG for wind energy conversion system in the grid connected mode, International Renewable and Sustainable Energy Conference, 2016 pp.515-520.
http://dx.doi.org/10.1109/irsec.2016.7983925

A.Dida, D.B.Attous, Doubly-fed induction generator drive based WECS using fuzzy logic controller, Frontiers in Energy, vol.9, issue.3, 2015, pp. 272-281.
http://dx.doi.org/10.1007/s11708-015-0363-9

R.Ganesh ,R.Senthil Kumar ,K.Kaviya, Fuzzy logic controller for doubly fed induction generator based wind energy conversion system, International Journal of Innovative Research in Science, Engineering and Technology vol.3, issue.6, 2014.

M.P.Selvam, P.Prakasam, Small Signal Stability Analysis of DFIG Fed Wind Power System Using a Robust Fuzzy Logic Controller, Scientific Research Publishing vol.7, 2016, pp. 390-401.
http://dx.doi.org/10.4236/cs.2016.74034

E.G.Shehata, Sliding mode direct power control of RSC for DFIGs driven by variable speed wind turbines, Alexandria Engineering Journal vol.54, issue.4, 2015, pp. 1067-1075.
http://dx.doi.org/10.1016/j.aej.2015.06.006

J.Hu, H.Nian, B.Hu, Y.He, Z. Q. Zhu, Direct active and reactive power regulation of DFIG using sliding-mode control approach, IEEE Trans Energy Convers vol.25, issue.4, 2010, pp. 1028-1039.
http://dx.doi.org/10.1109/tec.2010.2048754

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.
http://dx.doi.org/10.15866/ireaco.v9i4.9739

O.Barambones, Sliding mode control strategy for wind turbine power maximization, Energies vol.5, 2012, pp. 2310–2330.
http://dx.doi.org/10.3390/en5072310

Z.Rongwu, C.Zhe, W.Xiaojie, High order sliding mode control of a doubly-fed induction generator under unbalanced grid faults,39th Annual Conference of the IEEE Industrial Electronics Society, 2013, pp. 1662-1667.
http://dx.doi.org/10.1109/iecon.2013.6699382

W.Zhong-qiang, X.Jian-ping, High-order terminal sliding mode control of grid connected inverter with disturbance observer, Electric Machines & Control / Dianji Yu KongzhiXuebao vol.18, issue.2, 2014, pp. 96.

X.Zhang, Y.Wng, Robust fuzzy control for doubly fed wind power systems with variable speed based on variable structure control technique. Mathematical. Problems in Engineering vol.2014, 2014.
http://dx.doi.org/10.1155/2014/750101

V.Q.Leu, H.H. Choi, and J.W. Jung, Fuzzy sliding mode speed controller for PM synchronous motors with a load torque observer, IEEE Transactions on Power Electronics vol.27, issue.3, 2012,pp. 1530- 1539.
http://dx.doi.org/10.1109/tpel.2011.2161488

R. Aghatehrani, R.Kavasseri “Sliding Mode Control of the Active and Reactive Power of DFIG for Variable-speed Wind Energy Conversion System” IEEE Power and Energy Society General Meeting ,2011.
http://dx.doi.org/10.1109/pes.2011.6039378

M.Rezkallah, S.Sharma, A.Chandra, B.Singh, D.R. Rousse “Lyapunov Function and Sliding Mode Control Approach for Solar-PV Grid Interface System”, IEEE Transactions on Industrial Electronics Vol.PP, issue.99,2016.
http://dx.doi.org/10.1109/tie.2016.2607162


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