Metaheuristic Optimization Methods Applied to Power Converters: A Review

León-Aldaco, Susana Estefany De; Calleja, Hugo; Aguayo, J.

doi:10.1109/tpel.2015.2397311

Cited by 160 publications

(93 citation statements)

References 93 publications

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“…However, the main drawback of gradient-based algorithms is that if the design space contains several local minima, there is a possibility that a gradient-based optimizer may be trapped by a local minimum, and the result depends on the selection of the initial design point. So far in the literature, no existing gradient-based algorithms are able to find the global optimization solution [9]. Furthermore, the gradient-based methods are mathematically guided algorithms, which require stringent mathematical formulations, causing a complexity of the system when variables increase.…”

Section: Introductionmentioning

confidence: 99%

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%

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

et al. 2018

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“…Nowadays, the PSO algorithm is universally applied in the optimal design process because of its internal capability in solving the complicated problems and parallelism [21][22][23]. Furthermore, the population-based method has an excellent performance for global optimization and can deal with objective functions which are linear or nonlinear and continuous or discontinuous.…”

Section: Proposed Pso-algorithm-based Efficiency-oriented Optimal Desmentioning

confidence: 99%

PSO-Algorithm-Based Optimal Design of LCLC Resonant Converters for Space Travelling-Wave Tube Amplifiers Applications

Zhao

Wang

2019

Energies

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Due to the advantages of zero-voltage-switching (ZVS) and zero-current-switching (ZCS), LCLC resonant converters are universally applied in two-stage electronic power conditioners (EPCs) of space travelling-wave tube amplifiers (TWTAs). In two-stage EPCs, as the output voltage is regulated by the first stage, the main functions of LCLC resonant converters are to boost the input voltage, provide galvanic isolation, and maintain high efficiency. However, the total power loss of an LCLC resonant converter is very challenging because of the multiple resonant components and their mutual couplings. In order to solve this problem, in this paper, a PSO (Particle Swarm Optimization)-algorithm-based, efficiency-oriented optimal design method of an LCLC resonant converter is proposed. Based on an analysis of working principles, the total power loss (with consideration of all the power losses, including the driving loss and the conduction loss of the main switches), transformer loss, and power loss of the rectifiers is calculated. After that, the total power loss is appointed as the objective function of the PSO algorithm, where the optimal circuit parameters are derived to minimize the total power loss. After the optimal circuit parameters are obtained, an LCLC resonant converter with the desired parameters is built. Finally, the proposed PSO-algorithm-based, efficiency-oriented optimal design method is validated by an example.

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“…One approach widely adopted for improving the entire grid-connected PV system performances is upgrading the converter by acting on its own design or on its control strategy or on both by benefiting from optimization algorithms as efficient and commonly used tools to obtain the best possible converter [13][14][15][16].…”

Section: Introductionmentioning

confidence: 99%

Optimization of an On-Grid Inverter for PV Applications Using Genetic Algorithms

Ammous

Alahdal

Ammous

2020

Journal of Engineering

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A new approach to the optimal design of power inverters for on-grid photovoltaic systems that uses genetic algorithms (GA) is provided in this article. The nonlinear average model is adopted to model the conversion stage in order to accurately evaluate and quickly estimate the power losses of the power devices. The hysteresis current control that guarantees a quasi-sinusoidal output current is applied to generate the inverter control signals. The design of the solar inverter must meet three contradictory objectives that need to be optimized at the same time. In fact, the aim is to maximize the efficiency of the converter while minimizing its size and price under electrical constraints. The problem variables are the output current ripple and the passive and active components available on the market (IGBTs/MOSFETs, Diodes, Inductors). NSGA-II (Elitist Nondominated Sorting Genetic Algorithm) is appropriate in the case where discrete design variables are used to search for optimal Pareto solutions. It carries out a systematic and efficient search among the developed databases for a set of components which define the optimal structures of the inverter. The introduced method makes the design task easier since the best solutions depend on the components available on the market and significantly reduces the time to market for manufacturers.

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Metaheuristic Optimization Methods Applied to Power Converters: A Review

Cited by 160 publications

References 93 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

PSO-Algorithm-Based Optimal Design of LCLC Resonant Converters for Space Travelling-Wave Tube Amplifiers Applications

Optimization of an On-Grid Inverter for PV Applications Using Genetic Algorithms

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