Multi-objective optimization of power converters using genetic algorithms

Malyna, D.V.; Duarte, J.L.; Hendrix, M.A.M.; Horck, F.B.M. van

doi:10.1109/speedam.2006.1649862

Cited by 13 publications

(9 citation statements)

References 2 publications

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“…At the present time, NSGA-II is reported to be one of the most efficient multi-objective optimization algorithms [9], and, therefore, the assignment of optimization is solved by applying NSGA-II as suggested by [6]. The number of points and chromosome length are determined as N memb = 10, and N gen = 12 respectively to achieve the highest processing rate of the genes [2].…”

Section: Optimization Resultsmentioning

confidence: 99%

“…. , P n } to collect the necessary data for identification of matrix R θ in (4). A linearized thermal model is assumed as…”

Section: Thermal Modelmentioning

confidence: 99%

“…The tool is developed in the MATLAB environment as a set of interactive scripts for modeling and optimizing a power converter. M SIM models power converters as piecewise-linear systems and simulates them by means of an accelerated algorithm for steady-state determination [4]. Thermal and electrical behavior are coupled together with an experimentally-extracted thermal model [5] and rules for the mutual thermal-electrical dependencies [5,7].…”

Section: Introductionmentioning

confidence: 99%

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Optimization of combined thermal and electrical behavior of power converters using multi-objective genetic algorithms

Malyna

Duarte

Hendrix

et al. 2007

2007 European Conference on Power Electronics and Applications

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Section: Optimization Resultsmentioning

confidence: 99%

“…. , P n } to collect the necessary data for identification of matrix R θ in (4). A linearized thermal model is assumed as…”

Section: Thermal Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Optimization of combined thermal and electrical behavior of power converters using multi-objective genetic algorithms

Malyna

Duarte

Hendrix

et al. 2007

2007 European Conference on Power Electronics and Applications

Self Cite

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show abstract

“…Therefore, according to the needs, the appropriate orthogonal array can be selected for experimental configuration. Table VII is a commonly used orthogonal array of L 8 (2 7 ). After the experiment configuration is completed and the experiment is executed, Table VIII is an example of L 8 (2 7 ).…”

Section: E Taguchi Methodsmentioning

confidence: 99%

“…Therefore, multiobjective optimization has been widely used in the product design and production processes of various industries in recent years. The main purpose of multi-objective optimization is to resolve conflicts among various objectives [7]- [10]. Multi-objective optimization methods currently used in the industry are often derived from single-objective optimization methods such as genetic algorithm (GA), particle swarm optimization (PSO) and differential evolution algorithm (DEA).…”

Section: Introductionmentioning

confidence: 99%

Optimal Parameter Design by NSGA-II and Taguchi Method for RCD Snubber Circuit

Chou

Yang

et al. 2020

IEEE Access

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A genetic algorithm and Taguchi method were used to optimize parameters for the residualcurrent device (RCD) snubber circuit of a DC-DC flyback converter. The most suitable algorithm was determined by using test functions to compare performance in three multi-objective optimization methods: non-dominated sort genetic algorithm-II (NSGA-II), multi-objective particle swarm optimization (MOPSO), and multi-objective differential evolution algorithm (MODE). Comparisons of coverage rate, distance between non-dominant solutions, and maximum walking distance showed that NSGA-II was superior to both MOPSO and MODE. Therefore, NSGA-II was used to obtain parameter values for the RCD snubber circuit. However, practical application of the parameter values was limited because the values could not meet the specifications required for real-world circuits. Thus, the parameter values obtained by NSGA-II were used in further factor-level experiments performed by Taguchi method. The experimental results indicated that, compared to previous design methods, the proposed NSGA-II and Taguchi method obtains better parameter values for the RCD snubber circuit.INDEX TERMS Multi-objective optimization, Taguchi method, RCD snubber circuit.

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A computer‐aided design tool dedicated to isolated DC‐DC converters based on multiobjective optimization using genetic algorithms

Versele

Deblecker

Lobry

2012

COMPEL - The International Journal for Computation and Mathematics in Electrical and Electronic Engineering

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Purpose -This paper presents a computer-aided design (CAD) tool for the design of isolated dc-dc converters. Design/methodology/approach -This tool, developed in Matlab environment, is based on multiobjective optimization (MO) using genetic algorithms. The Elitist Nondominated Sorting Genetic Algorithm is used to perform search and optimization whereas analytical models are used to model the power converters. The design problem requires minimizing the weight, losses and cost of the converter while ensuring the satisfaction of a number of constraints. The optimization variables are, as for them, the operating frequency, the current density, the maximum flux density, the transformer dimensions, the wire diameter, the core material, the conductor material, the converter topology (among Flyback, Forward, Push-Pull, half-bridge and full-bridge topologies), the number of semiconductor devices associated in parallel, the number of cells associated in series or parallel as well as the kinds of input and output connections (serial or parallel) of these cells. Finally, the design of an auxiliary railway power supply is presented and discussed. Findings -The results show that such tool to design dc-dc power converters presents several advantages. In particular, it proposes to the designer a set of solutions -instead of a single one -so that he can choose a posteriori which solution best fits the application under consideration. Moreover, interesting solutions not considered a priori can be found with this tool. Originality/value -To the best of the authors' knowledge, such a CAD tool including a MO procedure taking several topologies into account has not been suggested so far.

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Multi-objective optimization of power converters using genetic algorithms

Cited by 13 publications

References 2 publications

Optimization of combined thermal and electrical behavior of power converters using multi-objective genetic algorithms

Optimization of combined thermal and electrical behavior of power converters using multi-objective genetic algorithms

Optimal Parameter Design by NSGA-II and Taguchi Method for RCD Snubber Circuit

A computer‐aided design tool dedicated to isolated DC‐DC converters based on multiobjective optimization using genetic algorithms

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