DocumentCode :
602227
Title :
Direct power control of DFIG connected to unbalanced power grid
Author :
Pura, P. ; Iwanski, G.
Author_Institution :
Inst. of Control & Ind. Electron., Warsaw Univ. of Technol., Warsaw, Poland
fYear :
2013
fDate :
27-30 March 2013
Firstpage :
1
Lastpage :
7
Abstract :
This paper presents a control strategy, which allows doubly-fed induction generator (DFIG) to generate a sinusoidal stator currents and minimize an electromagnetic torque oscillations under unbalanced grid conditions. The control does not require a positive and negative sequence decomposition of the control variables, so the independent control of positive and negative sequence is not used. Instead of it, the reference signal for reference power is calculated for the main control algorithm, which is the direct power control (DPC). Proposed strategy reduces the machine´s torque oscillations and causes, that the machine stator and rotor current does not exceed the rated values, what may happen in a classic DPC control, when the positive sequence component of the grid voltage drops. Simulation results with 2MW doubly fed induction machine model are presented in the paper.
Keywords :
asynchronous generators; electric current control; electric potential; electromagnetic oscillations; machine control; power control; power grids; stators; torque control; DFIG; DPC; direct power control; doubly fed induction machine; doubly-fed induction generator; electromagnetic torque oscillation minimization; machine stator; machine torque oscillation; negative sequence decomposition; positive sequence decomposition; power 2 MW; rotor current; sinusoidal stator current generation; unbalanced power grid condition; voltage drop; Electromagnetics; Mathematical model; Oscillators; Rotors; Stators; Torque; Vectors; DFIG; DPC; direct power control; doubly-fed induction generator; unbalanced grid;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Ecological Vehicles and Renewable Energies (EVER), 2013 8th International Conference and Exhibition on
Conference_Location :
Monte Carlo
Print_ISBN :
978-1-4673-5269-7
Type :
conf
DOI :
10.1109/EVER.2013.6521618
Filename :
6521618
Link To Document :
بازگشت