APPLICATION OF A GENETIC ALGORITHM TO POWER TRANSFORMER DESIGN

Design optimization is an important topic for electrical manufacturers. Optimization techniques that require derivatives are difficult to apply to the power transformer problem. This paper presents a new approach using the genetic algorithm to optimize power transformer design. An example design, included in this paper, indicates the viability of the proposed method to solve this problem and its ability to reduce the amount of engineering time spent comparing alternative designs.

[1]  Desire L. Massart,et al.  Least median squares curve fitting using a genetic algorithm , 1995 .

[2]  R. Feinberg Modern power transformer practice , 1979 .

[3]  K. K. Paluev,et al.  Transformer circuit impedance calculations , 1936, Electrical Engineering.

[4]  L. Wozniak,et al.  Adaptive hydrogenerator governor tuning with a genetic algorithm , 1992 .

[5]  P. A. Abetti,et al.  Application of Digital Computers to Transformer Design [includes discussion] , 1956, Transactions of the American Institute of Electrical Engineers. Part III: Power Apparatus and Systems.

[6]  Robert E. Smith,et al.  Optimal clustering of power networks using genetic algorithms , 1994 .

[7]  O.W. Andersen Optimized design of electric power equipment , 1991, IEEE Computer Applications in Power.

[8]  L. Rabins,et al.  Transformer reactance calculations with digital computers , 1956, Transactions of the American Institute of Electrical Engineers, Part I: Communication and Electronics.

[9]  David E. Goldberg,et al.  Genetic Algorithms in Search Optimization and Machine Learning , 1988 .

[10]  M. Kitagawa,et al.  Implementation of genetic algorithm for distribution systems loss minimum re-configuration , 1992 .