Influence of DFIG Modeling on the Sustainable Integration of Wind Turbines into the Power Grid

Abstract

The transition from a theoretical study to an experimental or practical one is often fraught with difficulties and/or gaps that can increase model uncertainties and compromise the results of implementing a modeling, control, and diagnostic system. Consequently, the objective of this work was to study the impact of different models of the double-fed induction generator (DFIG) with a view to sustainable integration of wind turbines into an electricity grid. To do this, a definition of sustainable development of renewable energies (RnE) was proposed in order to better situate the context and general scope of our study. Then, we reviewed the three main models known as simplified, nominal and real or augmented DFIG which have made it possible to date to develop new controls and diagnostic systems for wind turbines. After comparison between these three models, it appears that the augmented model and followed by the nominal model are more appropriate for developing optimal controls and robust diagnostic systems, thus making it possible to better predict the behavior of the DFIG in a practical context; then guarantee long-term durability, good security and safe operation of wind energy systems integrated into the network.