Article | The 48th Scandinavian Conference on Simulation and Modeling (SIMS 2007); 30-31 October; 2007; Göteborg (Särö) | Identification of a Best Thermal Formula and Model for oil and Winding of Power Transformers Using Prediction Methods

Title:
Identification of a Best Thermal Formula and Model for oil and Winding of Power Transformers Using Prediction Methods
Author:
Kourosh Mousavi Takami: Mälardalen University, Västerås, Sweden Jafar Mahmoudi: Mälardalen University, Västerås, Sweden
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Year:
2007
Conference:
The 48th Scandinavian Conference on Simulation and Modeling (SIMS 2007); 30-31 October; 2007; Göteborg (Särö)
Issue:
027
Article no.:
022
Pages:
182-188
No. of pages:
6
Publication type:
Abstract and Fulltext
Published:
2007-12-21
Series:
Linköping Electronic Conference Proceedings
ISSN (print):
1650-3686
ISSN (online):
1650-3740
Publisher:
Linköping University Electronic Press; Linköpings universitet


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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.

Keywords: Best fit; simulation; identification; error; model

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

Author:
Kourosh Mousavi Takami, Jafar Mahmoudi
Title:
Identification of a Best Thermal Formula and Model for oil and Winding of Power Transformers Using Prediction Methods
References:

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7. Kourosh Mousavi Takami; Advanced Transformer Monitoring & Diagnostic Systems and thermal assessment with robust software’s; research presentation; Water and power University; March 2007; Tehran; Iran


8. Kourosh Mousavi Takami; Hot Spot identification and find a best thermal model for large scale power transformers; April 2006; KTH University; Stockholm; Sweden.


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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.


12. Kourosh Mousavi Takami; Jafar Mahmoudi; A novel device (oil spraying system) for local cooling of hot spot and high temperature areas in power transformers; 3rd IGEC conference; Sweden; June 19; 2007.


13. Kourosh Mousavi Takami; Jafar Mahmoudi; Thermal evaluation and energy saving with loss reduction in core and winding of power transformers; 3rd IGEC conference; Sweden; June 19; 2007.


14. Kourosh Mousavi Takami; Jafar Mahmoudi; A new apparatus for mitigating the hot spot problem in large power transformers using Ants algorithm; IEEE PES PowerAfrica 2007 Conference and Exposition Johannesburg; South Africa; 18 July 2007


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

Author:
Kourosh Mousavi Takami, Jafar Mahmoudi
Title:
Identification of a Best Thermal Formula and Model for oil and Winding of Power Transformers Using Prediction Methods
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