Enhancement of LVRT Capability in DFIG-Based Wind Turbines with STATCOM and Supercapacitor

Overvoltage and overcurrent resulting from various faults cause instability in Doubly Fed Induction Generator (DFIG)-based wind turbines connected to a grid. The grid code requirement must be met during faults to minimize the effect of these problems. Low Voltage Ride Through (LVRT) capability is us...

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Bibliographic Details
Published inSustainability Vol. 15; no. 3; p. 2529
Main Author Döşoğlu, M. Kenan
Format Journal Article
LanguageEnglish
Published Basel MDPI AG 01.01.2023
Subjects
Air-turbines
Analysis
Capacitors
Damping
Dynamic models
Electric generators
Electric potential
Electromagnetic fields
Electromotive forces
Energy
Energy development
Fault minimization
Faults
Induction generators
Low voltage
Oscillations
Overcurrent
Rotors
Simulation
Stators
Supercapacitors
Sustainability
Systems stability
Turbines
Ultracapacitors
Unbalance
Wind power
Turkey
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Summary:Overvoltage and overcurrent resulting from various faults cause instability in Doubly Fed Induction Generator (DFIG)-based wind turbines connected to a grid. The grid code requirement must be met during faults to minimize the effect of these problems. Low Voltage Ride Through (LVRT) capability is used to meet the grid code requirement. It is important to use coordinate control for transient states in LVRT capability. This study aimed to improve the stator dynamics for ease of calculation and the rotor dynamic model by damping oscillations caused by balanced and unbalanced faults on the grid side. For this, electromotive force (emf) models were developed for stator and rotor dynamic modeling. Furthermore, for the coordinate control of the DFIG, models were developed for a lookup-table-based supercapacitor and a decoupled Static Synchronous Compensator (STATCOM). Using these models, analyses of three-phase and two-phase faults were conducted. Following different balanced and unbalanced faults within the grid, the system was stabilized in a short time, and the oscillations occurring during the faults were quickly damped using the LVRT models developed in this study.
ISSN:2071-1050
2071-1050
DOI:10.3390/su15032529