Application Research Based on Fuzzy Logic to Predict Minimum Loss for Transformer Design Optimization

Abstract

This paper present the transformer design optimization problem. The objective of transformer design optimization problem requires to minimizing the total mass (or cost) of the core and wire material by satisfying constraints imposed by international standards and transformer user specification. The constraints include appropriate limits on efficiency, voltage regulation, temperature rise, no-load current and winding fill factor. The design optimizations seek a constrained minimum mass (or cost) solution by optimally setting the transformer geometry parameters and require magnetic properties. This paper shows the above design problems can be formulated in fuzzy logic (FL). The importance of the FL format stems for two main features. First it provides efficient and reliable solution for the design optimization problem with several variables. Second, it guaranteed that the obtained solution is global optimum. This paper includes a demonstration of the application of the FL technique for transformer design.