DocumentCode :
1358849
Title :
Advanced transformer control modeling in an optimal power flow using Newton´s method
Author :
Acha, E. ; Ambriz-Perez, H. ; Fuerte-Esquivel, C.R.
Author_Institution :
Dept. of Electron. & Electr. Eng., Glasgow Univ., UK
Volume :
15
Issue :
1
fYear :
2000
fDate :
2/1/2000 12:00:00 AM
Firstpage :
290
Lastpage :
298
Abstract :
This paper reports on advanced transformer modeling facilities suitable for large-scale optimal power flow studies. The new transformer models are developed from first principles and incorporated into an existing Newton-based optimal power flow computer program for highly robust iterative solutions. A three-winding transformer model with tap ratios in all three windings is shown to be a general case for existing two-winding transformer models and the classic load tap-changing and phase-shifting transformer models. The newly developed transformer models add a great deal to software flexibility and are amenable to more realistic electric energy studies. This is partly due to the transformer models being fitted with complex tap changers in each winding and a nonlinear representation of the magnetizing branch. The three-winding transformer model interfaces easily with reactive power plant models, e.g., static VAr compensators
Keywords :
Newton method; load flow; power transformers; FACTS; Newton´s method; Newton-based optimal power flow computer program; electric energy studies; highly robust iterative solutions; load tap-changing model; magnetizing branch; optimal power flow; phase-shifting transformer model; reactive power plant models; static VAr compensators; tap ratios; three-winding transformer model; transformer control modeling; Circuit faults; Context modeling; Large-scale systems; Load flow; Magnetic levitation; Newton method; Optimal control; Power system modeling; Reactive power; Saturation magnetization;
fLanguage :
English
Journal_Title :
Power Systems, IEEE Transactions on
Publisher :
ieee
ISSN :
0885-8950
Type :
jour
DOI :
10.1109/59.852135
Filename :
852135
Link To Document :
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