Multiobjective Optimization of Medium-Frequency Transformers for Isolated Soft-Switching Converters Using a Genetic Algorithm

Garcia-Bediaga, Asier; Villar, Irma; Rujas, Alejandro; Mir, Luis; Rufer, A.

doi:10.1109/tpel.2016.2574499

Cited by 99 publications

(101 citation statements)

References 27 publications

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“…Among numerous metaheuristic methods, Genetic Algorithm (GA) [10] and Particle Swarm Optimization (PSO) [11] have been widely utilized to design the circuity of a power converter. The GA can be applied to optimize the medium-frequency transformer [12] of isolated converter, heatsink and bus capacitor volumes [13] of a three-phase inverter to archive minimum weight, losses and cost, with respect to constraints of design specification and physical limitation of components. The PSO, combined with Differential Evolution (DE), helps find an optimal transformer design for the Dual-Active-Bridge converter [14], the resonant tank of isolate bidirectional series resonant converter [15], and the inductor using EE core geometry [16].…”

Section: Introductionmentioning

confidence: 99%

“…So far, almost all researches have formulated a single objective formulation (efficiency, or weight, or cost [8]) or aggregated multiple conflicting objectives (weight, and loss, and cost) into one single objective. The multi-objective optimization of transformer design was solved by the Non-dominated Sorted Genetic Algorithm (NSGA-II) [12]; however, the final design selected from Pareto-solutions was not explained clearly.…”

Section: Introductionmentioning

confidence: 99%

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Optimized Multiport DC/DC Converter for Vehicle Drivetrains: Topology and Design Optimization

et al. 2018

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DC/DC Multiport Converters (MPC) are gaining interest in the hybrid electric drivetrains (i.e., vehicles or machines), where multiple sources are combined to enhance their capabilities and performances in terms of efficiency, integrated design and reliability. This hybridization will lead to more complexity and high development/design time. Therefore, a proper design approach is needed to optimize the design of the MPC as well as its performance and to reduce development time. In this research article, a new design methodology based on a Multi-Objective Genetic Algorithm (MOGA) for non-isolated interleaved MPCs is developed to minimize the weight, losses and input current ripples that have a significant impact on the lifetime of the energy sources. The inductor parameters obtained from the optimization framework is verified by the Finite Element Method (FEM) COMSOL software, which shows that inductor weight of optimized design is lower than that of the conventional design. The comparison of input current ripples and losses distribution between optimized and conventional designs are also analyzed in detailed, which validates the perspective of the proposed optimization method, taking into account emerging technologies such as wide bandgap semiconductors (SiC, GaN).

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Optimized Multiport DC/DC Converter for Vehicle Drivetrains: Topology and Design Optimization

et al. 2018

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“…In fact, the coordinate control strategy discussed in this section is a problem when solving P i (t)/ Q i (t) of each SL. For this kind of problem, some optimization methodologies have been used in many fields: A. Garcia-Bediaga used a genetic algorithm to decide the optimal design parameters of a medium frequency transformer [27]; CF . Juang applied the ant colony optimization algorithm in fuzzy controller in order to improve the design efficiency and control performance [28]; and Y. Wang used PSO to search for the optimum auxiliary power unit operating point in the dynamic combined cost map in order to improve the emission performance of hybrid electric vehicles [29].…”

Section: Load Control Methods Of Multi-slmentioning

confidence: 99%

A Load control method with reactive power control capability and enhanced flexibility based on smart load

Wang

Chen

et al. 2019

IEEJ Transactions Elec Engng

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To promote the real-time supply-demand balance of power grids and to improve the economy and security of power systems, the load control technology of power systems is becoming increasingly important. Electric spring (ES), first proposed in 2012, is a power electronic device used in power systems to achieve power consumption that can vary with power generation. Based on a smart load (SL), which comprises an ES and a noncritical load (NCL), a new load control method is proposed here, aiming to solve the problems of weak flexibility and uncontrollable reactive power in the traditional method. First, the power control model of an SL is established taking into account its basic principles. Next, the control method of a single SL is proposed, and the control loops are designed. Subsequently, the cooperative control strategy of multiple SLs is proposed using the particle swarm optimization (PSO) algorithm. Finally, our simulation and experimental results prove that both the active power and reactive power of SL can be controlled flexibly and smoothly using the method proposed here.

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“…For the full-analytical model, the derived optimum is used (f opt,0 and n opt,0 ). For the two semi-numerical models, the optimum design (with respect to the efficiency) is selected with a mixed-integer multi-constrained genetic algorithm [27], [47]. The results are shown in Fig.…”

Section: B Scaling Lawsmentioning

confidence: 99%

“…Moreover, the different local minima are flat, implying that designs located near a minimum can be almost as good as the minimum itself. Therefore, a robust optimization algorithm (e.g., particle swarm and genetic) should be selected [27], [47]. For designs with many discrete variables, a brute-force search algorithm may be the only practicable solution.…”

Section: Critical Analysismentioning

confidence: 99%

Medium-Frequency Transformer Scaling Laws: Derivation, Verif ication, and Critical Analysis

Guillod¹,

Kolar²

2020

CPSS TPEA

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Medium-frequency transformers (MFTs) are one of the fundamental building blocks of modern power electronic converters. The usage of increased frequencies leads to improved characteristics, i.e., efficiency and power density (volumetric and gravimetric) but also to design challenges and constraints. This paper reviews the analytical modeling of MFTs. More particularly, the mapping between the design space and the performance space is analyzed. It is found that wide regions of the design space are mapped to a narrow region in the performance space, i.e., the optimum is flat and designs with very different parameters features similar performances (design space diversity). Scaling laws are derived for optimal MFTs operated at different power ratings and power densities, which provide a comprehensive and general insight on the achievable performances. In a next step, the results obtained with the analytical model are compared to numerical simulations. It is concluded that the derived scaling laws capture qualitatively and quantitatively the behavior of MFTs, but should be used with caution for accurate design processes.

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Multiobjective Optimization of Medium-Frequency Transformers for Isolated Soft-Switching Converters Using a Genetic Algorithm

Cited by 99 publications

References 27 publications

Optimized Multiport DC/DC Converter for Vehicle Drivetrains: Topology and Design Optimization

Optimized Multiport DC/DC Converter for Vehicle Drivetrains: Topology and Design Optimization

A Load control method with reactive power control capability and enhanced flexibility based on smart load

Medium-Frequency Transformer Scaling Laws: Derivation, Verif ication, and Critical Analysis

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