Journal of Power Electronics

  • 제17권6호
  • /
  • Pages.1587-1599
  • /
  • 2017
  • /
  • 1598-2092(pISSN)
  • /
  • 2093-4718(eISSN)
전력전자학회 (The Korean Institute of Power Electronics)
권호 표지
DOI QR코드

DOI QR Code

Type-2 Fuzzy Logic Predictive Control of a Grid Connected Wind Power Systems with Integrated Active Power Filter Capabilities

  • Hamouda, Noureddine (Laboratory of Electrical Engineering of Constantine (LEC), University of Freres Mentouri) ;
  • Benalla, Hocine (Laboratory of Electrical Engineering of Constantine (LEC), University of Freres Mentouri) ;
  • Hemsas, Kameleddine (Automatic Laboratory of Setif, Department of Electrical Engineering, University of Setif 1) ;
  • Babes, Badreddine (Research Center in Industrial Technologies (CRTI)) ;
  • Petzoldt, Jurgen (Department of Power Electronic and Control, Technische Universitat Ilmenau) ;
  • Ellinger, Thomas (Department of Power Electronic and Control, Technische Universitat Ilmenau) ;
  • Hamouda, Cherif (Institut Jean Lamour, CNRS University of Lorraine)
  • 투고 : 2017.03.10
  • 심사 : 2017.07.21
  • 발행 : 2017.11.20
PDF 다운로드
⟨ 이전 논문 다음 논문 ⟩

초록

This paper proposes a real-time implementation of an optimal operation of a double stage grid connected wind power system incorporating an active power filter (APF). The system is used to supply the nonlinear loads with harmonics and reactive power compensation. On the generator side, a new adaptive neuro fuzzy inference system (ANFIS) based maximum power point tracking (MPPT) control is proposed to track the maximum wind power point regardless of wind speed fluctuations. Whereas on the grid side, a modified predictive current control (PCC) algorithm is used to control the APF, and allow to ensure both compensating harmonic currents and injecting the generated power into the grid. Also a type 2 fuzzy logic controller is used to control the DC-link capacitor in order to improve the dynamic response of the APF, and to ensure a well-smoothed DC-Link capacitor voltage. The gained benefits from these proposed control algorithms are the main contribution in this work. The proposed control scheme is implemented on a small-scale wind energy conversion system (WECS) controlled by a dSPACE 1104 card. Experimental results show that the proposed T2FLC maintains the DC-Link capacitor voltage within the limit for injecting the power into the grid. In addition, the PCC of the APF guarantees a flexible settlement of real power exchanges from the WECS to the grid with a high power factor operation.

키워드

참고문헌

  1. P. Jintakosonwit, H. Fujita, and H. Akagi, "Control and performance of a fully digital controlled shunt active filter for installation on a power distribution system," IEEE Trans. Power Electron., Vol. 17, No.1, pp. 132-140, Jan. 2002. https://doi.org/10.1109/63.988679
  2. M. F. Schonardie and D. C. Martins, "Application of the dqo transformation in the three-phase grid-connected PV systems with active and reactive power control," ICSET08. IEEE Int. Conf, pp. 18-23, Nov. 2008.
  3. Y. Xia, K. H. Ahmed, and B. W. Williams, "A new maximum power point tracking technique for permanent magnet synchronous generator based wind energy conversion system," IEEE Trans. Power. Electron, Vol. 26, No. 12, pp. 3609-3620, Dec. 2011. https://doi.org/10.1109/TPEL.2011.2162251
  4. C. T. Pan and Y. L. Juan, "A novel sensorless MPPT controller for a high efficiency micro-scale wind power generation system," IEEE Trans. Energy. Convers, Vol. 25, No. 1, pp. 207-216, Mar. 2010. https://doi.org/10.1109/TEC.2009.2032604
  5. V. Agarwal, K. Rakesh, A. Pravin, and P. C. Patki, "A novel scheme for rapid tracking of maximum power point in wind energy generation systems," IEEE Trans. Energy Convers, Vol. 25, No. 1, pp. 228-236, Mar. 2010. https://doi.org/10.1109/TEC.2009.2032613
  6. W. M. Lin and C. M. Hong, "Intelligent approach to maximum power point tracking control strategy for variable speed wind turbine generation system," Energy, Vol. 35, No. 6, pp. 2440-2447, Apr. 2010. https://doi.org/10.1016/j.energy.2010.02.033
  7. S. M. R. Kazmi, H. Goto, H. J. Guo, and O. Ichinokura, "A novel algorithm for fast and efficient speed sensorless maximum power point tracking in wind energy conversion systems," IEEE Trans. Ind. Electron, Vol. 58, No. 1, pp. 29-36, Jan. 2011. https://doi.org/10.1109/TIE.2010.2044732
  8. V. Galdi, A. Piccolo, and P. Siano, "Designing an adaptive fuzzy controller for maximum wind energy extraction," IEEE Trans. Energy. Convers, Vol. 23, No. 2, pp.559-569, Jun. 2008. https://doi.org/10.1109/TEC.2007.914164
  9. M. Pucci and M. Cirrincione, "Neural MPPT control of wind generators with induction machines without speed sensors," IEEE Trans. Ind. Electron, Vol. 58, No. 1, pp. 37-47, Jan. 2011. https://doi.org/10.1109/TIE.2010.2043043
  10. C. Wei, Z. Zhang, W. Qiao, and L. Qu, "Reinforcementlearning- based intelligent maximum power point tracking control for wind energy conversion systems," IEEE Trans Ind Electron., Vol. 62, No. 10, pp. 6360-6370, Oct. 2015. https://doi.org/10.1109/TIE.2015.2420792
  11. R. Cardenas and R. Pena, "Sensorless vector control of induction machines for variable speed wind energy applications," IEEE Trans. Energy Convers., Vol. 19, No.1, pp.196-205, Mar. 2004. https://doi.org/10.1109/TEC.2003.821863
  12. R. S. Herrera and P. Salmeron, "Instantaneous reactive power theory: A comparative evaluation of different formulations," IEEE Trans. Power Del., Vol. 22, No.1, pp. 595-604, Jan. 2007. https://doi.org/10.1109/TPWRD.2006.881468
  13. K. Abbas, N. Saeid, C. Doug, and S. Dipti, "Interval type-2 fuzzy logic systems for load forecasting: A comparative study," IEEE Trans. Power Syst., Vol. 27, No. 3, pp. 1274-1282, Aug. 2012. https://doi.org/10.1109/TPWRS.2011.2181981
  14. B. Singh, D. T. Shahani, and A. K. Verma, "Neural network controlled grid interfaced solar photovoltaic power generation," IET Power Electron., Vol. 7, No. 3, pp. 614-626, Mar. 2014. https://doi.org/10.1049/iet-pel.2013.0166
  15. B. N. Singh, P. Rastgoufard, B. Singh, A. Chandra, and K. A. Haddad, "Design, simulation and implementation of three pole/four pole topologies for active filters," in Proc. IEE Electr. Power Appl., Vol. 151, No. 4, pp. 467-476, 2004. https://doi.org/10.1049/ip-epa:20040209
  16. N. K. S. Naidu and B. Singh, "Doubly fed induction generator for wind energy conversion systems with integrated active filter capabilities," IEEE Trans. Ind. Informat., Vol. 11, No. 4, pp.923-933, Aug. 2015. https://doi.org/10.1109/TII.2015.2446767
  17. D. W. W. W. Tan, "A simplified type-2 fuzzy logic controller for real-time control," ISA Transactions, Vol. 45, No. 4, pp. 503-516, Oct. 2006. https://doi.org/10.1016/S0019-0578(07)60228-6
  18. H. Akagi, "Control strategy and site selection of a shunt active filter for damping of harmonic propagation in power distribution systems," IEEE Transaction. Power Del., Vol. 12, No. 1, pp. 354-362, Jan. 1997. https://doi.org/10.1109/61.568259
  19. M. El-Habrouk, M. K. Darwish, and P. Mehta, "Active power filters: A review," in Proc. Inst. Elect. Eng., Vol. 147, No. 5, pp. 403-413, Sep. 2000.
  20. B. Boukezata, J. Gaubert, A. Chaoui, and M. Hachemi "Predictive current control in multifunctional grid connected inverter interfaced by PV system," Solar Energy, Vol. 139, pp. 130-141, Dec. 2016. https://doi.org/10.1016/j.solener.2016.09.029
  21. B. Babes, L. Rahmani, A. Chaoui, and N. Hamouda, "Design and experimental validation of a digital predictive controller for variable speed wind turbine systems," Journal of Power Electronics, Vol. 17, No. 1, pp. 232-241, Jan. 2017. https://doi.org/10.6113/JPE.2017.17.1.232
  22. M. Odavic, P. Zanchetta, M. Sumner, and Z. Jakopovict, "High performance predictive current control for active shunt filters," EPE-PEMC 2006, pp. 1677-1681, 2006.
  23. A. Beddar, H. Bouzekri, B. Babes, and H. Afghoul, "Experimental enhancement of fuzzy fractional order PI+I controller of grid connected variable speed wind energy conversion system," Energy Conversion and Management, Vol. 123 pp. 569-580, 2016. https://doi.org/10.1016/j.enconman.2016.06.070
  24. J. Fei and S. Hou, "Adaptive fuzzy control with supervisory compensator for three-phase active power filter," Journal of Applied Mathematics, Vol. 2012, Article ID 654937, 13 pages, 2012. doi:10.1155/2012/654937.
  25. B. Kedjar and K. Al-Haddad, "LQR with integral action to enhance dynamic performance of three-phase three-wire shunt active filter," in proc. of IEE Power Electronics Specialists Conference (PESC), USA, 2007, pp. 1138-1144, 2007.
  26. S. G. Jeong and M. H. Woo, "DSP-Based Active Power Filter with Predictive Current Control," IEEE Trans. Ind. Electron, Vol. 44, No. 3, pp. 329-336, Jun. 1997. https://doi.org/10.1109/41.585830
  27. O. Aissa, M. Moulahoum, I. Colak, B. Babes, and N. Kabache, "Analysis, design and real-time implementation of shunt active power filter for power quality improvement based on predictive direct power control," ICRERA 2016. IEEE Int. Conf, pp. 79-84, 2016.