DocumentCode :
3481070
Title :
Splitting-based dynamic equivalencing in power systems
Author :
Lino, Oscar Yucra ; Fette, Michael ; Dong, Zhao Y.
Author_Institution :
CINVESTAV, Guadalajara
fYear :
2005
fDate :
27-30 June 2005
Firstpage :
1
Lastpage :
7
Abstract :
This paper describes the concept of an innovative approach for aggregation of machines for various power system disturbances on the basis of the active splitting of external machines. This splitting strategy is used as a basis for generating accurate dynamic equivalents expressing the reduced electromechanical behaviour of the area being equivalenced which can be applied in transient stability studies. The approach is developed on the basis of splitting factors of mathematical reduction techniques, such as the fuzzy theory and principal component analysis. The relevant property of this approach consists of incorporating of new defined electromechanical equivalent parameters that it significantly improves the accuracy and efficiency of identity-based or splitting-based dynamic equivalents and thereby enhances their effectiveness and application. Test of this approach have been performed and evaluated on an interconnected 16 machine power system.
Keywords :
electromechanical effects; power system faults; power system identification; power system interconnection; power system transient stability; active splitting; electromechanical behaviour; electromechanical equivalent parameters; external machines; identity-based dynamic equivalents; interconnected 16 machine power system; mathematical reduction techniques; power system disturbances; splitting-based dynamic equivalencing; splitting-based dynamic equivalents; transient stability; Power generation; Power system analysis computing; Power system dynamics; Power system interconnection; Power system modeling; Power system stability; Power system transients; Power systems; Principal component analysis; Reduced order systems; Aggregation; Coherency Identification; Dynamic Equivalent; Electromechanical Parameters; Identity Recognition; Model Reduction; Stability Analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power Tech, 2005 IEEE Russia
Conference_Location :
St. Petersburg
Print_ISBN :
978-5-93208-034-4
Electronic_ISBN :
978-5-93208-034-4
Type :
conf
DOI :
10.1109/PTC.2005.4524384
Filename :
4524384
Link To Document :
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