Ride-Through Fault Capability of Doubly-Fed Induction Wind Generators - Flores Mendes, Victor
53,99 €
inkl. MwSt.
Versandkostenfrei*
Versandfertig in 6-10 Tagen
  • Broschiertes Buch

Due to the continuing growth of the installed power capacity of wind farms worldwide, the grid codes define specific requirements to the connection of wind turbines to the grid. One of these requirements is the ride-through fault capability (RTFC), that is, the equipment capability of continuing operating during voltage sags. This book presents the analysis of the behavior of the doubly-fed induction generator technology (DFIG) during balanced and unbalanced voltage sag and proposes novel control strategies to improve the RTFC. The system behavior analysis and the strategies validation are…mehr

Andere Kunden interessierten sich auch für
Produktbeschreibung
Due to the continuing growth of the installed power capacity of wind farms worldwide, the grid codes define specific requirements to the connection of wind turbines to the grid. One of these requirements is the ride-through fault capability (RTFC), that is, the equipment capability of continuing operating during voltage sags. This book presents the analysis of the behavior of the doubly-fed induction generator technology (DFIG) during balanced and unbalanced voltage sag and proposes novel control strategies to improve the RTFC. The system behavior analysis and the strategies validation are performed using mathematical models in time and frequency domains, simulation results with a Simulink/Matlab model (2MW) and experimental results in two scaled test benches (4kW and 25kW). The limitations for the operation of the strategies are also analyzed. The main objectives of this work are to point the system weaknesses and to contribute to the study of low voltage ride-through strategies(LVRT) of the DFIG technology.
Autorenporträt
Victor Flores Mendes is Assistant Professor at Federal University of Minas Gerais (UFMG), Brazil. He received the bachelor in Control and Automation Engineering (2008) and the master in Electrical Engineering (2009) from UFMG. He obtained the PhD from UFMG in 2013, and part of the work was developed in Dresden University of Technology, Germany.