Transient Model Parameters Identification of Transformer Based on PSO Algorithm

被引：0
|
作者：
Valii, Mohammad [1 ]
Bigdeli, Mehdi [1 ]
Hojjatiparast, Farid [2 ]
机构：
[1] Islamic Azad Univ, Dept Elect Engn, Zanjan Branch, Zanjan, Iran
[2] Islamic Azad Univ, Dept Elect Engn, Sci & Res Branch, Zanjan, Iran
来源：
2013 3RD INTERNATIONAL CONFERENCE ON ELECTRIC POWER AND ENERGY CONVERSION SYSTEMS (EPECS) | 2013年
关键词：
Transformer; Transient; Measurement; Parameter Estimation; PSO Algorithm; PARTICLE SWARM;
D O I：
暂无
中图分类号：
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号：
0807 ; 0820 ;
摘要：
In this paper a novel model for analyzing the transient state of the distribution transformers is proposed. The presented model is as simple that the simulation process can be conducted so fast and easy and also its application in the form of a two port element in power network is possible. By considering the complexity of the analytical methods, Particles Swarm Optimization (PSO) algorithm is applied for estimation of the parameters of the transient model of the transformers. In order to do that, related tests were performed on a 2.5 MVA and 6300/420 V distribution transformers, after that, the desired parameters were estimated by the implemented PSO algorithm. Finally, by comparing the experimental and the estimated values, the reliability of the PSO algorithm in this case was evaluated. Also, a comparison between the obtained values in this research and the results of Genetic Algorithm (GA) and the analytical method were carried out. The result reveals the more capabilities and accuracies of the PSO algorithm.
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页数：5
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