Enhanced Reduced Order Model of Wind Turbines with DFIG for Power System Stability Studies

2006 ◽  
Author(s):  
J. Kretschmann ◽  
H. Wrede ◽  
S. Mueller-Engelhardt ◽  
I. Erlich
Keyword(s):  
Power System ◽  
Wind Turbines ◽  
Power System Stability ◽  
Reduced Order Model ◽  
System Stability ◽  
Stability Studies ◽  
Order Model ◽  
Reduced Order

Modeling of Wind Turbines Based on Doubly-Fed Induction Generators for Power System Stability Studies

2007 ◽  
Vol 22 (3) ◽  
pp. 909-919 ◽  
Author(s):  
Istvan Erlich ◽  
JÖrg Kretschmann ◽  
Jens Fortmann ◽  
Stephan Mueller-Engelhardt ◽  
Holger Wrede
Keyword(s):  
Power System ◽  
Wind Turbines ◽  
Power System Stability ◽  
System Stability ◽  
Stability Studies ◽  
Induction Generators ◽  
Doubly Fed Induction Generators ◽  
Doubly Fed

A REDUCED ORDER MODEL BASED ON BLOCK ARNOLDI METHOD FOR AEROELASTIC SYSTEM

2014 ◽  
Vol 06 (06) ◽  
pp. 1450069 ◽  
Author(s):  
QIANG ZHOU ◽  
GANG CHEN ◽  
YUEMING LI
Keyword(s):  
Original System ◽  
Reduced Order Model ◽  
System Stability ◽  
Arnoldi Method ◽  
Order Model ◽  
Aeroelastic System ◽  
Reduced Order ◽  
Block Arnoldi ◽  
Flutter Boundary ◽  
Linearized Model

A reduced-order model (ROM) based on block Arnoldi algorithm to quickly predict flutter boundary of aeroelastic system is investigated. First, a mass–damper–spring dynamic system is tested, which shows that the low dimension system produced by the block Arnoldi method can keep a good dynamic property with the original system in low and high frequencies. Then a two-degree of freedom transonic nonlinear aerofoil aeroelastic system is used to validate the suitability of the block Arnoldi method in flutter prediction analysis. In the aerofoil case, the ROM based on a linearized model is obtained through a high-fidelity nonlinear computational fluid dynamics (CFD) calculation. The order of the reduced model is only 8 while it still has nearly the same accuracy as the full 9600-order model. Compared with the proper orthogonal decomposition (POD) method, the results show that, without snapshots the block Arnoldi/ROM has a unique superiority by maintaining the system stability aspect. The flutter boundary of the aeroelastic system predicted by the block Arnoldi/ROM agrees well with the CFD and reference results. The Arnoldi/ROM provides an efficient and convenient tool to quick analyze the system stability of nonlinear transonic aeroelastic systems.

Sign in / Sign up

Export Citation Format

Share Document