Proceedings of the 4th International Conference on Mechatronics, Materials, Chemistry and Computer Engineering 2015

Thermal circuit model parameters identification of oil-immersed transformer based on PSO algorithm

Authors
Linli Zhang, Lisheng Li, Bin Jiang, Rong Li, Hongmei Li, Xiao Dong
Corresponding Author
Linli Zhang
Available Online December 2015.
DOI
https://doi.org/10.2991/icmmcce-15.2015.183How to use a DOI?
Keywords
power transformer; hot spot; thermal circuit model; PSO algorithm; parameter identification
Abstract
The thermal circuit model of oil-immersed transformer needs to improve its accuracy in predicting the winding hottest-spot temperature, especially in the case of overload and different cooling modes. In the case of overload condition, the estimate values obtained from most existing models are smaller than the actual measurement values, which increase the potential of transformer overheating fault because of the estimate shortage. These limitations are mainly due to the thermal circuit parameters which are deviating when overloaded or having different cooling modes. In order to overcome these limitations, a parameter identification and correction approach based on PSO algorithm is proposed. The approach works on daily load pattern, permits better accuracy and improves the estimation security margin of thermal circuit in the presence of overload condition and different cooling modes.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Cite this article

TY  - CONF
AU  - Linli Zhang
AU  - Lisheng Li
AU  - Bin Jiang
AU  - Rong Li
AU  - Hongmei Li
AU  - Xiao Dong
PY  - 2015/12
DA  - 2015/12
TI  - Thermal circuit model parameters identification of oil-immersed transformer based on PSO algorithm
BT  - Proceedings of the 4th International Conference on Mechatronics, Materials, Chemistry and Computer Engineering 2015
PB  - Atlantis Press
SP  - 1229
EP  - 1234
SN  - 2352-538X
UR  - https://doi.org/10.2991/icmmcce-15.2015.183
DO  - https://doi.org/10.2991/icmmcce-15.2015.183
ID  - Zhang2015/12
ER  -