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Novel multiobjective optimization of MF transformers for soft-switching converters using a genetic algorithm | IEEE Conference Publication | IEEE Xplore

Novel multiobjective optimization of MF transformers for soft-switching converters using a genetic algorithm


Abstract:

This paper presents a novel computer-aided multiobjective optimal design for medium-frequency (MF) transformers using NSGA genetic algorithm. The proposed methodology has...Show More

Abstract:

This paper presents a novel computer-aided multiobjective optimal design for medium-frequency (MF) transformers using NSGA genetic algorithm. The proposed methodology has the aim of reaching the best MF transformer for a given power converter topology, by optimizing transformer efficiency, weight, and also, transformer leakage and magnetizing inductances at the same time. Moreover, this work provides some practices for a correct formulation of complex power-electronic design problems and the selection of the optimization algorithm. The proposed methodology and the optimal solutions are validated with the design and the development of two different 10kVA/500 V transformers and some experimental measurements are presented.
Date of Conference: 14-18 September 2014
Date Added to IEEE Xplore: 13 November 2014
Electronic ISBN:978-1-4799-5776-7

ISSN Information:

Conference Location: Pittsburgh, PA, USA

I. Introduction

The power transformer is the key component in MF isolated dc-dc converters, especially in applications with volume and weight restrictions. It can perform different functions apart from voltage and current transformations. In Dual-Active-Bridge (DAB) or in Series-Resonant-Converters (SRC), the series connected inductor and/or the transformer leakage inductance is critical for a proper operation of the power converter. Moreover, the parallel inductor and/or the transformer magnetizing inductance is essential in topologies which operate in zero-voltage-switching (ZVS) conditions, such as the LLC resonant converter, since they can assure soft-switching in all the operating range. The converter design can be optimized by integrating all these inductive elements within the transformer (see Fig. 1), but increasing the complexity of transformer design.

References

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