Adaptive Neural PLL for Grid-connected DFIG Synchronization


Vol. 14, No. 3, pp. 608-620, May  2014
10.6113/JPE.2014.14.3.608


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 Abstract

In this paper, an adaptive neural phase-locked loop (AN-PLL) based on adaptive linear neuron is proposed for grid-connected doubly fed induction generator (DFIG) synchronization. The proposed AN-PLL architecture comprises three stages, namely, the frequency of polluted and distorted grid voltages is tracked online; the grid voltages are filtered, and the voltage vector amplitude is detected; the phase angle is estimated. First, the AN-PLL architecture is implemented and applied to a real three-phase power supply. Thereafter, the performances and robustness of the new AN-PLL under voltage sag and two-phase faults are compared with those of conventional PLL. Finally, an application of the suggested AN-PLL in the grid-connected DFIG-decoupled control strategy is conducted. Experimental results prove the good performances of the new AN-PLL in grid-connected DFIG synchronization.


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Cite this article

[IEEE Style]

A. Bechouche, D. O. Abdeslam, T. Otmane-Cherif, H. Seddiki, "Adaptive Neural PLL for Grid-connected DFIG Synchronization," Journal of Power Electronics, vol. 14, no. 3, pp. 608-620, 2014. DOI: 10.6113/JPE.2014.14.3.608.

[ACM Style]

Ali Bechouche, Djaffar Ould Abdeslam, Tahar Otmane-Cherif, and Hamid Seddiki. 2014. Adaptive Neural PLL for Grid-connected DFIG Synchronization. Journal of Power Electronics, 14, 3, (2014), 608-620. DOI: 10.6113/JPE.2014.14.3.608.