Thermal circuit model parameters identification of oil-immersed transformer based on PSO algorithm
Linli Zhang, Lisheng Li, Bin Jiang, Rong Li, Hongmei Li, Xiao Dong
Available Online December 2015.
- https://doi.org/10.2991/icmmcce-15.2015.183How to use a DOI?
- power transformer; hot spot; thermal circuit model; PSO algorithm; parameter identification
- 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.
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 -