A Hybrid Optimization Algorithm for the Design of DC Resistant Medium-Frequency Transformers

IEEE International Symposium on Industrial Electronics (ISIE), pp. 1–7

Abstract

The Medium-Frequency Transformer (MFT) is a key - but often limiting - element in the design of isolated DC-DC converters. The design process of an MFT is computationally complex and converter asymmetries can lead to core saturation, limiting DC- DC converter operation. This paper presents a method to adjust the transformer main inductance by utilizing an air-gapped core to shift the core saturation point and increase the MFT's ability to withstand DC offsets. The adjustment of the main inductance is achieved with only minor compromises in mass and efficiency. Furthermore, this paper introduces a hybrid multi-objective optimization algorithm based on genetic algorithm and particle swarm optimization to solve the multi-dimensional MFT design problem. It is demonstrated that the hybrid algorithm requires more iterations to outperform the individual algorithms but allows the design of DC resistant MFTs over a wide range in the objective space with a tight solution distribution.

Authors 4

1. Fabian Herzig

   Siemens (Germany) · Siemens Energy

   Affiliation as printed

   Sustainable Energy Systems, Siemens Energy,Erlangen,Germany

2. Iurii Marych

   Siemens (Germany) · Siemens Energy

   Affiliation as printed

   Sustainable Energy Systems, Siemens Energy,Erlangen,Germany

3. Osamah Al-Dhaifi

   Siemens (Germany) · Siemens Energy

   Affiliation as printed

   Sustainable Energy Systems, Siemens Energy,Erlangen,Germany

4. Rik W. De Doncker Aachen E.ON Energy Research Center

   RWTH Aachen University

   Affiliation as printed

   RWTH Aachen University,E.ON Energy Research Center,Aachen,Germany