Konferensartikel

Identification of a Best Thermal Formula and Model for oil and Winding of Power Transformers Using Prediction Methods

Kourosh Mousavi Takami
Mälardalen University, Västerås, Sweden

Jafar Mahmoudi
Mälardalen University, Västerås, Sweden

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Ingår i: The 48th Scandinavian Conference on Simulation and Modeling (SIMS 2007); 30-31 October; 2007; Göteborg (Särö)

Linköping Electronic Conference Proceedings 27:22, s. 182-188

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Publicerad: 2007-12-21

ISBN:

ISSN: 1650-3686 (tryckt), 1650-3740 (online)

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.

Nyckelord

Best fit; simulation; identification; error; model

Referenser

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11. Kourosh Mousavi Takami; Jafar Mahmoudi; Evaluation of Large Power Transformer Losses for green house gas and final cost reductions; 3rd IGEC conference; Sweden; June 18; 2007.

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