Title :
Balancing Current Distribution in Parallel Windings of Furnace Transformers Using the Genetic Algorithm
Author :
Nabaei, Vahid ; Mousavi, Seyed Ali ; Miralikhani, Karim ; Mohseni, Hossein
Author_Institution :
Iran Transfo Co., Zanjan, Iran
Abstract :
This paper presents a model for calculating and balancing the current distribution in parallel windings of furnace transformers. The proposed model is based on the finite-element method and takes into account the ¿skin effect¿ impact on the individual conductor resistances and self inductances. Because of mutual inductive coupling between the parallel windings, electromagnetic forces will cause a nonuniform current distribution in parallel windings. An illustrative example is investigated and uniform configuration is considered for the parallel windings. The obtained numerical results show the current distribution in parallel windings is not uniform in this case. Therefore, an effective technique is proposed for balancing the current distribution using the genetic algorithm. A comprehensive computer program in MATLAB is developed, which can be used to find an optimal solution for the proposed optimization problem. Finally, the proposed approach is verified by experiment and some comparative numerical results are presented.
Keywords :
current distribution; finite element analysis; furnaces; genetic algorithms; inductance; skin effect; transformer windings; transformers; MATLAB; current distribution balancing; electromagnetic forces; finite element method; furnace transformers; genetic algorithm; parallel windings; self inductance; skin effect; Conductors; Current distribution; Electromagnetic coupling; Electromagnetic forces; Finite element methods; Furnaces; Genetic algorithms; Mathematical model; Mutual coupling; Transformers; Current distribution; genetic algorithms; optimization; power transformers;
Journal_Title :
Magnetics, IEEE Transactions on
DOI :
10.1109/TMAG.2009.2031980