DocumentCode :
3048631
Title :
Small signal stability analysis of wind turbines with squirrel cage induction generators
Author :
López, Yuri Ulianov ; Navarro, Jose Antonio Dominguez
Author_Institution :
Renewable Energies & Energy Efficiency, Univ. de Zaragoza, Zaragoza
fYear :
2008
fDate :
13-15 Aug. 2008
Firstpage :
1
Lastpage :
10
Abstract :
Power systems stability has been analysed specially due to the quick increasing of wind power penetration all around the world, specific in USA and Europe. This research presents the small signal stability analysis based on Kundurpsilas theory but specifically for wind turbines with squirrel cage induction generators - SCIG, understood as a widely accepted and applied for many researchers, power system analysers and utilities. Despite of his book is well recognized for Stability teaching, others researchers has its own point of view to power systems stability. Here the state of art on relevance works around the world is showed and taken into account. Here the state of art on relevance works around the world is showed and taken into account. The modeling and simulation is done with Matlab and a toolbox for stability purposes, called PSAT. Wind speeds, voltage generated and load demand ill be varied. The model is based on a real manufactured wind turbine.
Keywords :
power system stability; squirrel cage motors; wind power plants; wind turbines; Europe; Kundur theory; Matlab; PSAT; Power systems stability; Stability teaching; USA; power system analysers; small signal stability analysis; squirrel cage induction generators; wind power penetration; wind turbines; Art; Europe; Induction generators; Mathematical model; Power system analysis computing; Power system stability; Signal analysis; Stability analysis; Wind energy; Wind turbines; Modeling; PSAT; renewable energy; simulation; small signal stability; wind energy conversion system; windpower;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Transmission and Distribution Conference and Exposition: Latin America, 2008 IEEE/PES
Conference_Location :
Bogota
Print_ISBN :
978-1-4244-2217-3
Electronic_ISBN :
978-1-4244-2218-0
Type :
conf
DOI :
10.1109/TDC-LA.2008.4641779
Filename :
4641779
Link To Document :
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