Title :
Research on application of genetic algorithm in optimization design of transformer
Author :
Zhao, Jingying ; Yao, Fang ; Wang, Haitao ; Mi, Yanzhi ; Wang, Yabin
Author_Institution :
Electr. Apparatus Inst., Hebei Univ. of Technol., Tianjin, China
Abstract :
The transformer is the indispensable important equipment in the power system. Optimization design of transformer has become an urgent requirement. This paper takes the typical voltage transformer JDCF-110 as the research object. Based on the deep study on the structure and the basic design method, the genetic algorithm is applied in the optimization design. Optimization model is determined, optimization design parameters by use of genetic algorithm are set and the optimization design software is developed. The basic design and the optimization design are realized to achieve the anticipated goal.
Keywords :
genetic algorithms; power transformers; JDCF-110; genetic algorithm; optimization design software; typical voltage transformer; Genetic algorithms; Iron; Mathematical model; Optimization; Software; Voltage transformers; Windings; genetic algorithm; optimization design; transform er;
Conference_Titel :
Electric Utility Deregulation and Restructuring and Power Technologies (DRPT), 2011 4th International Conference on
Conference_Location :
Weihai, Shandong
Print_ISBN :
978-1-4577-0364-5
DOI :
10.1109/DRPT.2011.5994031