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Authors:Kourosh Mousavi Takami: Mälardalen University, Västerås, Sweden
Jafar Mahmoudi: Mälardalen University, Västerås, Sweden
Publication title:Identification of a Best Thermal Formula and Model for oil and Winding of Power Transformers Using Prediction Methods
Conference:The 48th Scandinavian Conference on Simulation and Modeling (SIMS 2007); 30-31 October; 2007; Göteborg (Särö)
Publication type: Abstract and Fulltext
Issue:027
Article No.:022
Abstract:System identification is about building models from data. A data set is characterized by several pieces of information: The input and output signals; the sampling interval; the variable names and units; etc. Similarly; the estimated models contain information of different kinds; estimated parameters; their covariance matrices; and model structure and so on. In this paper we collected Temperature of oil and winding in 230/63kv transformer of SARI Substation and considered the winding temperature for input in the model and oil temperature for out put. After that calculated their data by MATLAB software and get a new model with the good best fit for the heat transfer from core and winding to oil. For verification of were calculated results; has been simulated the process in COMSOL Software.
Language:English
Keywords:Best fit; simulation; identification; error; model
Year:2007
No. of pages:6
Pages:182-188
Series:Linköping Electronic Conference Proceedings
ISSN (print):1650-3686
ISSN (online):1650-3740
File:http://www.ep.liu.se/ecp/027/022/ecp072722.pdf
Available:2007-12-21
Publisher:Linköping University Electronic Press; Linköpings universitet

REFERENCE TO THIS PAGE
Kourosh Mousavi Takami, Jafar Mahmoudi (2007). Identification of a Best Thermal Formula and Model for oil and Winding of Power Transformers Using Prediction Methods, The 48th Scandinavian Conference on Simulation and Modeling (SIMS 2007); 30-31 October; 2007; Göteborg (Särö) http://www.ep.liu.se/ecp_article/index.en.aspx?issue=027;article=022 (accessed 10/25/2014)