Voltage sag analysis in distribution system with doubly fed induction generator based wind farm

Kafi, Mohammad Hossein

doi:10.1109/ecticon.2017.8096387

Cited by 1 publication

(1 citation statement)

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“…Shuai et al (2016) studied the possibility of cancelling effect of coupling line voltage drop to enhance droop control performances. However, effect of unbalanced grid fault for a micro-grid based on several wind systems located at different distances is rarely inspected in the literature; Kafi (2017) described the behaviour of an electrical power distribution system with DFIG-based wind farm and gave a review on voltage sag. Chakraborty et al (2017) analysed different impacts of sudden grid disturbances on a MW-level grid-connected large DFIG-based wind farm.…”

Section: Introductionmentioning

confidence: 99%

An improved predictive control for parallel grid-connected doubly fed induction generator-based wind systems under unbalanced grid conditions

2019

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Recently, the massive integration of renewable energy sources, especially wind and solar ones, has attracted researchers to new issues such as power quality. In this context, this article deals with an improved deadbeat predictive control for parallel grid-connected doubly fed induction generator-based wind systems under unbalanced grid conditions. The impact of an asymmetrical voltage sag has been treated for a doubly fed induction generator- wind system with emphasis on the occurrence of the negative current. In the case of a micro-grid based on wind systems, the effect of this current increases with the line impedance and thereby the system location. An improved predictive deadbeat control technique is proposed for the rotor side converter to enhance the behaviour of the wind system. A dynamic modelling of the doubly fed induction generator in both positive and negative reference frames has been proposed to focus on the behaviour of the system for these various operating conditions. Results of different simulation scenarios prove the effectiveness of the proposed improved predictive deadbeat control.

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Section: Introductionmentioning

confidence: 99%