Title :
Modeling for transformer windings under VFTO based on s-parameters
Author :
Zhang, Ping ; Wang, You-hua ; Nie, Xin-peng ; Yan, Wei-li ; Zhang, Hai-jiao
Author_Institution :
Hebei Univ. of Technol., Tianjin
Abstract :
To study the very fast transient over-voltage (VFTO) distribution in transformer windings in gas insulated substation (GIS), a systematic methodology based on s-parameters is presented for establishing high-frequency model of transformer windings in this paper. Firstly, voltage transfer functions are derived from s-parameters which are calculated or measured from transformer windings. Secondly, voltage transfer functions are fitted with rational functions by Vector Fitting method and then the rational transfer functions are order-reduced by optimal Pade-approximation algorithm. Lastly, the resultant voltage transfer functions are synthesized by network technology. Computational results are consistent with simulation results of Electromagnetic Transient Program (EMTP) to confirm the feasibility and validity of proposed methodology.
Keywords :
S-parameters; approximation theory; gas insulated substations; power transformers; transfer functions; transformer windings; transients; vectors; VFTO; gas insulated substation; optimal Pade-approximation algorithm; rational function; s-parameter; transformer winding modeling; vector fitting method; very fast transient over-voltage distribution; voltage transfer function; EMTP; Electromagnetic measurements; Gas insulation; Geographic Information Systems; Network synthesis; Power transformer insulation; Scattering parameters; Substations; Transfer functions; Windings; Multi-conductor transmission line; Optimal Pade order-reduced algorithm; Power transformer; S-parameters; VFTO; Vector Fitting method;
Conference_Titel :
Machine Learning and Cybernetics, 2008 International Conference on
Conference_Location :
Kunming
Print_ISBN :
978-1-4244-2095-7
Electronic_ISBN :
978-1-4244-2096-4
DOI :
10.1109/ICMLC.2008.4620791