International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064

Downloads: 136 | Views: 226

Review Papers | Electrical Engineering | India | Volume 3 Issue 9, September 2014

A Review on Transformer Design Optimization and Performance Analysis Using Artificial Intelligence Techniques

H. D. Mehta | Rajesh M. Patel

Abstract: Transformers are the heart of electrical transmission and distribution systems. The aim of transformer design is to obtain the dimensions of all parts of the transformer in order to supply these data to the manufacturer. The transformer should be designed in a manner such that it is economically viable, has low weight, small size, good performance and at the same time it should satisfy all the constraints imposed by international standards. Many researchers have employed Artificial Intelligence (AI) techniques for transformer design optimization (TDO) and performance analysis. However, the true potential of AI techniques is yet to be fully explored for TDO problems. This paper conducts a brief review of research and development in the field of transformers using conventional optimization methods, artificial intelligence based optimization techniques and suggests some of the new bio-inspired AI techniques that can be employed for TDO problems

Keywords: Transformer design optimization, Swarm Intelligence, Genetic Algorithms, Artificial Neural Networks, Artificial Intelligence Techniques

Edition: Volume 3 Issue 9, September 2014,

Pages: 726 - 733

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