A REVIEW OF INTELLIGENT BASED OPTIMIZATION TECHNIQUES IN POWER TRANSFORMER DESIGN

One of the major components of power system which reliability depends on is the transformer which plays major role in power generation, transmission and distribution system. The voltage transformation of any transformer is dependent on the complexity of the design. However, with the fast-paced changing technologies in the power industry, new references addressing new technologies that satisfy constraints imposed on international standards, low weight, small size and good performances for economic viability are coming to the market. Current research of transformer design reveals the continued interest in the use of intelligent techniques for transformer design optimization. This paper gives a bibliographical study and general backgrounds of research and developments in the field of transformer design and optimization using intelligent based techniques for the past 42 years, based on over 80 published articles. The benefit of this work is to provide reference point for educational development on recent published research in this field and stimulate further research interests

کلیدواژه ها:

Artificial Intelligent ، Genetic Algorithm ، Swarm Intelligence ، Simulated Annealing ، Particle Swarm ، Artificial Neural Network ، Hybrid Method ، Transformer Design Optimization