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http://dx.doi.org/10.6113/JPE.2014.14.3.608

Adaptive Neural PLL for Grid-connected DFIG Synchronization  

Bechouche, Ali (L2CSP Laboratory, Mouloud Mammeri University of Tizi-Ouzou)
Abdeslam, Djaffar Ould (MIPS Laboratory, Haute Alsace University)
Otmane-Cherif, Tahar (L2CSP Laboratory, Mouloud Mammeri University of Tizi-Ouzou)
Seddiki, Hamid (L2CSP Laboratory, Mouloud Mammeri University of Tizi-Ouzou)
Publication Information
Journal of Power Electronics / v.14, no.3, 2014 , pp. 608-620 More about this Journal
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.
Keywords
Adaptive linear neuron (ADALINE); Decoupled P-Q control; Doubly fed induction generator (DFIG); Phase-locked loop (PLL); Synchronization;
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