Particle Swarm Optimization of High-Frequency Transformer

Abstract

A high frequency transformer is a critical component in a dual active bridge converter (DAB) used in a power electronics-based solid state transformer. Operation of a DAB converter requires its transformer to have a specific amount of winding leakage inductance. The demand for high efficiency requires minimization of transformer copper loss and core loss. Furthermore, available window area limits the winding arrangement of transformer. A hybrid of particle swarm optimization (PSO) and differential evolution (DE) is proposed to solve this multi-objective problem with constraints. DE provides diversity to pbest of each particle, which is missing in standard PSO. The differential evolution particle swarm optimization (DEPSO) algorithm is applied to find optimal transformer designs for DAB converters. Results show the DEPSO method is a generic effective way to find optimal high frequency transformer design.

Meeting Name

36th Annual Conference of the IEEE Industrial Electronics Society (2010: Nov. 7-10, Glendale, AZ)

Department(s)

Electrical and Computer Engineering

Sponsor(s)

National Science Foundation (U.S.). Engineering Research Centers Program
National Science Foundation (U.S.). Faculty Early Career Development Program

Comments

This study was supported by ERC and CAREER Program of the National Science Foundation under Award Numbers EEC-08212121 and ECCS 0348221.

Keywords and Phrases

Copper Loss; Core Loss; Critical Component; Differential Evolution; Dual Active Bridge Converter; High Efficiency; High Frequency Transformer Design; Leakage Inductance; Multi-Objective Problem; Standard PSO; State-Transformers; Transformer Design; Winding Arrangement; Window Area; High Frequency Transformers; Industrial Electronics; Multiobjective Optimization; Power Electronics; Winding; Particle Swarm Optimization (PSO); High Frequency Transformer; Solid State Transformer

International Standard Book Number (ISBN)

978-1424452255

International Standard Serial Number (ISSN)

1553-572X

Document Type

Article - Conference proceedings

Document Version

Citation

File Type

text

Language(s)

English

Rights

© 2010 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.

Publication Date

01 Nov 2010

Link to Full Text

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