DocumentCode
151732
Title
New global parameter estimation method for a transformer detailed model
Author
Gomez, Hector D. ; Mombello, Enrique E.
Author_Institution
Inst. de Energia Electr., Univ. Nac. de San Juan, San Juan, Argentina
fYear
2014
fDate
10-13 Sept. 2014
Firstpage
1
Lastpage
6
Abstract
The RLCM parameters of the ladder network detailed model of a transformer winding are obtained using a new estimation method based on frequency response measurements on transformer terminals. The estimation problem is reformulated from electromagnetic formulations used in the model evaluation algorithm. A multi-objective global search for solutions is performed by means of a genetic algorithm in a space of reduced and fixed dimension. The coupling characteristic is intrinsic to the model, thereby avoiding inductive inequality constraints. The proposed method is characterized by its simplicity, high physical cohesion, good conditioning and computational efficiency.
Keywords
frequency response; genetic algorithms; search problems; transformer windings; RLCM parameters; frequency response measurements; genetic algorithm; global parameter estimation method; inductive inequality constraints; ladder network; model evaluation algorithm; multiobjective global search; transformer detailed model; transformer winding; Coils; Current measurement; Frequency measurement; Inductance; Integrated circuit modeling; Mathematical model; Windings; Parameter estimation; RLCM model for transformer windings; computational efficiency; filament method; frequency response analysis (FRA); genetic algorithms; multi-objective optimization;
fLanguage
English
Publisher
ieee
Conference_Titel
Transmission & Distribution Conference and Exposition - Latin America (PES T&D-LA), 2014 IEEE PES
Conference_Location
Medellin
Print_ISBN
978-1-4799-6250-1
Type
conf
DOI
10.1109/TDC-LA.2014.6955233
Filename
6955233
Link To Document