DocumentCode :
483137
Title :
Modeling of a squirrel cage induction generator
Author :
Movahednasab, A. ; Madani, Seyed M. ; Shahbazi, M.M.
Author_Institution :
Isfahan Univ. of Technol., Isfahan
fYear :
2008
fDate :
17-20 Oct. 2008
Firstpage :
4267
Lastpage :
4271
Abstract :
Generating electrical power from wind energy is becoming increasingly important throughout the world. This fast development has attracted many researchers and electrical engineers to work on this field. Self excited squirrel cage induction generator (SEIG), which uses an excitation capacitor, is used widely to convert mechanical wind energy to electricity, due to their low cost, small size, no need of separate dc source and brushes. This paper proposes a new simplified model for small wind energy system consisting of: Induction generator, D-Statcom, excitation capacitors and loads. The model clearly describes the dynamic behavior of frequency and voltage of a SIEG supplied system during fault and isolating from a power system grid. Based on the proposed model, efficient analytical schemes for voltage and frequency control has been presented. These controllers are applied on a 33 kv wind energy system, using MATLAB- Simulink simulations. The simulation results verified the validity of proposed control schemes and models.
Keywords :
asynchronous generators; machine control; mathematics computing; squirrel cage motors; wind power; D-Statcom; MATLAB-Simulink simulations; electrical engineers; electrical power; excitation capacitors; frequency control; mechanical wind energy; power system grid; researchers; squirrel cage induction generator; voltage 33 kV; voltage control; wind energy system; Capacitors; Induction generators; Mathematical model; Power engineering and energy; Power generation; Power system dynamics; Power system modeling; Power system simulation; Wind energy; Wind energy generation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electrical Machines and Systems, 2008. ICEMS 2008. International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-3826-6
Electronic_ISBN :
978-7-5062-9221-4
Type :
conf
Filename :
4771541
Link To Document :
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