DocumentCode
3105988
Title
Doubly-fed Induction Generator models for optimization algorithm of wind farms
Author
Das, Milton Kumar ; Chowdhury, S. ; Chowdhury, S.P. ; Crossley, P.A.
Author_Institution
Marine Eng. & Res. Inst.
fYear
2008
fDate
1-4 Sept. 2008
Firstpage
1
Lastpage
5
Abstract
In recent years, there is a strong trend towards generation of wind power across the globe in geographically suitable areas with a more or less stable wind velocity. The wind farms employ Doubly-fed Induction Generator (DFIG) for energy generation. DFIG allow active and reactive power control through a rotor-side converter, while the stator is directly connected to the grid. Rapid and widespread development of wind farms has led to extensive research scope in the areas of efficient production of wind energy and management and operation of energy transfer in wind farms. One such key area is the development of algorithms for optimization of wind energy production and consequently analyzing the economic benefits derived from grid integration of these farms. The paper reports on development of DFIG models for optimization algorithm for wind farms. It also presents two control strategies developed for the active power regulation of DFIG-based wind farms, in order to extract the maximum active power from the wind impinging the blades of the wind turbine.
Keywords
asynchronous generators; optimisation; power control; power generation control; wind power plants; active power regulation; control strategies; doubly-fed induction generator; energy generation; energy transfer; rotor-side converter; wind energy production; wind farms optimization algorithm; wind turbine blades; Induction generators; Power generation; Production; Reactive power control; Rotors; Wind energy; Wind energy generation; Wind farms; Wind power generation; Wind speed;
fLanguage
English
Publisher
ieee
Conference_Titel
Universities Power Engineering Conference, 2008. UPEC 2008. 43rd International
Conference_Location
Padova
Print_ISBN
978-1-4244-3294-3
Electronic_ISBN
978-88-89884-09-6
Type
conf
DOI
10.1109/UPEC.2008.4651574
Filename
4651574
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