Sensorless Twelve Sectors Implementation of Neural DPC Controlled DFIG for Reactive and Active Powers Ripples Reduction

  • Habib Benbouhenni Laboratoire d’Automatique et d’Analyse des Systèmes (LAAS), Departement de Génie Électrique, Ecole Nationale Polytechnique d’Oran Maurice Audin, Oran, Algeria
  • Abdelkader Belaidi Laboratoire d’Automatique et d’Analyse des Systèmes (LAAS), Departement de Génie Électrique, Ecole Nationale Polytechnique d’Oran Maurice Audin, Oran, Algeria
  • Zinelaabidine Boudjema Laboratoire Génie Électrique et Energies Renouvelables (LGEER), Electrical Engineering Department, Hassiba Benbouali University, Chlef, Algeria.
Keywords: DFIG, DPC, twelve sectors, neural networks.

Abstract

A direct power control (DPC) drive allows independent and direct command of reactive power linkage and stator active power by the selection of optimum inverter switching tables (STs) of an induction generator (IG). There is no need for any complex conversion of voltage or current. However, each vector selected from the ST cannot produce the required accurate voltage vector to provide the desired active and reactive powers. This results in the production of ripples in the reactive power as well as active power waveforms. In this study, we propose a technique to minimize active and reactive powers fluctuations. In this proposed strategies, the circular flux vector is divided into 12 sectors of 30 degrees and is compared to each other. Switching table is based on neural networks controller. The proposed strategies of 12 sectors DPC strategy are simulated and the comparison of their performances is presented.

References

[1] S. M. Tavakoli, M. A. Pourmina, M. R. Zolghadri, "Comparison between different DPC methods applied to DFIG wind turbines", International Journal of Renewable Energy Research, Vol. 3, No. 2, pp. 446-452, 2013.
[2] M. V. Kazemi, A. S. Yazdankhah, H. M. Kojabadi, "Direct power control of DFIG based on discrete space vector modulation", Renewable Energy, Vol. 35, pp. 1033-1042, 2010.
[3] L. Xu, 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.
[4] H. Benbouhenni, Z. Boudjema, A. Belaidi, "Indirect vector control of a DFIG supplied by a two-level FSVM inverter for wind turbine system", Majlesi Journal of Electrical Engineering, Vol. 13, No. 1, pp. 45-54, 2019.
[5] S. Massoum, A. Meroufel, A. Massoum, P. Wira, "A direct power control of the doubly-fed induction generator based on the SVM Strategy", Elektrotehniški Vestnik, Vol. 84, No. 5, pp. 235-240, 2017.
[6] Y. Djeriri, A. Meroufel, A. Massoum, Z. Boudjema, "Direct power control of a doubly fed induction generator based wind energy conversion systems including a storage unit", Journal of Electrical Engineering, Vol. 14, No.2, pp.1-8, 2014.
[7] H. Benbouhenni, "Comparative study between direct vector control and fuzzy sliding mode controller in three-level space vector modulation inverter of reactive and active power command of DFIG-based wind turbine systems", International Journal Of Smart Grid, Vol. 2, No. 4, pp. 188-196, 2018.
[8] H. Benbouhenni, "Direct vector control for doubly fed induction generator-based wind turbine system using five-level NSVM and two-level NSVM technique", International Journal Of Smart Grid, Vol. 3, No. 1, pp. 25-32, 2019.
[9] Y. Djeriri, A. Meroufel, B. Belabbas, A. Massoum, "Three-level NPC voltage source based direct power control of the doubly fed induction generator at low constant switching frequency" Revue des Energies Renouvelables, Vol. 16, No. 1, pp. 91-103, 2013.
[10] A, Bouyekni, R. Taleb, Z. Boudjema, H. Kahal, "A second-order continuous sliding mode based on DFIG for wind-turbine-driven DFIG", Elektrotehniški Vestnik, Vol. 85, No. 1-2, pp. 29-36, 2018.
[11] Bakouri, H. Mahmoudi, A. Abbou, "Intelligent control for doubly fed induction generator connected to the electrical network", International Journal of Power Electronics and Drive System, Vol. 7, No. 3, pp. 688-700, 2016.
Published
2018-06-01
How to Cite
Benbouhenni, H., Belaidi, A., & Boudjema, Z. (2018). Sensorless Twelve Sectors Implementation of Neural DPC Controlled DFIG for Reactive and Active Powers Ripples Reduction. Majlesi Journal of Energy Management, 7(2), 13-21. Retrieved from http://journals.iaumajlesi.ac.ir/em/index/index.php/em/article/view/355
Section
Articles