DocumentCode :
2399666
Title :
A state space single-phase transformer model incorporating nonlinear phenomena of magnetic saturation and hysteresis for transient and periodic steady-state analysis
Author :
Garcia, Sigridt ; Medin, Aurelio ; Perez, Carlos
Author_Institution :
Fac. de Ingenieria Electr., Ciudad Univ., Mexico
Volume :
4
fYear :
2000
fDate :
2000
Firstpage :
2417
Abstract :
An efficient state space single-phase transformer model is presented in this contribution, which incorporates the nonlinear phenomena of magnetic saturation and hysteresis. It is analyzed under transient and periodic steady-state operation conditions. The nonlinearity of saturation and hysteresis is efficiently represented with a novel and simple formulation. Fast periodic steady-state solutions are achieved with the application of a Newton technique for the acceleration of time domain computations. Comparisons are made between conventional methods used for the numerical solution of the transformer represented by a set of ordinary differential equations (ODEs) and the Newton method in terms of full cycles and CPU times needed to obtain the periodic steady-state solution of the network
Keywords :
Newton method; differential equations; magnetic hysteresis; power engineering computing; power transformers; state-space methods; time-domain analysis; CPU time; Newton technique; computer simulation; magnetic hysteresis; magnetic saturation; nonlinear phenomena; ordinary differential equations; periodic steady-state analysis; state space single-phase transformer model; time domain computations; transient analysis; Acceleration; Circuit faults; Magnetic analysis; Magnetic domains; Magnetic hysteresis; Phase transformers; Saturation magnetization; State-space methods; Steady-state; Transient analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power Engineering Society Summer Meeting, 2000. IEEE
Conference_Location :
Seattle, WA
Print_ISBN :
0-7803-6420-1
Type :
conf
DOI :
10.1109/PESS.2000.867369
Filename :
867369
Link To Document :
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