DocumentCode :
1341618
Title :
Approximate Voltage-Behind-Reactance Induction Machine Model for Efficient Interface With EMTP Network Solution
Author :
Wang, Liwei ; Jatskevich, Juri
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of British Columbia, Vancouver, BC, Canada
Volume :
25
Issue :
2
fYear :
2010
fDate :
5/1/2010 12:00:00 AM
Firstpage :
1016
Lastpage :
1031
Abstract :
A so-called voltage-behind-reactance (VBR) induction machine model has recently been proposed for the Electro-Magnetic Transient Program (EMTP) solution as an advantageous alternative to the traditional qd and phase-domain (PD) models. This paper focuses on achieving an efficient interface of the machine models with the EMTP network. It is shown first that a discretized PD model can be formulated to have a constant machine conductance submatrix, which is a very desirable numerical property that allows avoiding the re-factorization of the network conductance matrix at every time step. Furthermore, an approximate voltage-behind-reactance (AVBR) model is proposed where the rotor-speed-dependent coefficients are neglected, thus leading to a similar constant machine conductance submatrix and efficient interface. Case studies demonstrate that the new AVBR model represents a significant improvement in terms of numerical accuracy and efficiency over other established models used in EMTP.
Keywords :
EMTP; asynchronous machines; electric machine analysis computing; machine theory; matrix algebra; EMTP network solution; approximate voltage-behind-reactance induction machine model; constant machine conductance submatrix; electromagnetic transient program; machine models; network conductance matrix; phase-domain model; qd model; rotor-speed-dependent coefficients; Approximate voltage-behind-reactance model; Electro-Magnetic Transient Program (EMTP); G matrix; constant conductance matrix; induction machine; phase-domain model; voltage-behind-reactance model;
fLanguage :
English
Journal_Title :
Power Systems, IEEE Transactions on
Publisher :
ieee
ISSN :
0885-8950
Type :
jour
DOI :
10.1109/TPWRS.2009.2034526
Filename :
5340684
Link To Document :
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