Applications of artifical intelligence in power electronics

Qashqai, Pouria; Vahedi, Hani; Al‐Haddad, Kamal

doi:10.1109/isie.2019.8781216

Cited by 18 publications

(10 citation statements)

References 28 publications

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“…This is evident from the data shown in Figure 5. As a result of the increasingly widespread application of various artificial intelligence techniques in power electronics, several detailed reviews have been published that examine and summarize the achieved results and possibilities for expanding the scope of application [25,30,[33][34][35].…”

Section: Application Of Artificial Intelligence Techniques In the Var...mentioning

confidence: 99%

Smart Energy Systems Based on Next-Generation Power Electronic Devices

Hinov

2024

Technologies

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Power electronics plays a key role in the management and conversion of electrical energy in a variety of applications, including the use of renewable energy sources such as solar, wind and hydrogen energy, as well as in electric vehicles, industrial technologies, homes and smart grids. These technologies are essential for the successful implementation of the green transition, as they help reduce carbon emissions and promote the production and consumption of cleaner and more sustainable energy. The present work presents a new generation of power electronic devices and systems, which includes the following main aspects: advances in semiconductor technologies, such as the use of silicon carbide (SiC) and gallium nitride (GaN); nanomaterials for the realization of magnetic components; using a modular principle to construct power electronic devices; applying artificial intelligence techniques to device lifecycle design; and the environmental aspects of design. The new materials allow the devices to operate at higher voltages, temperatures and frequencies, making them ideal for high-power applications and high-frequency operation. In addition, the development of integrated and modular power electronic systems that combine energy management, diagnostics and communication capabilities contributes to the more intelligent and efficient management of energy resources. This includes integration with the Internet of Things (IoT) and artificial intelligence (AI) for automated task solving and work optimization.

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Section: Application Of Artificial Intelligence Techniques In the Var...mentioning

confidence: 99%

Smart Energy Systems Based on Next-Generation Power Electronic Devices

Hinov

2024

Technologies

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“…In refs. [22][23][24], a very detailed review of different artificial intelligence techniques applicable to the realization of electronic converters with guaranteed performance under different output conditions and specific application requirements is presented. Various optimization techniques applied in the different phases of the life cycle of power electronic devices and systems, design, prototyping, and operation are discussed in great detail.…”

Section: Literature Reviewmentioning

confidence: 99%

Comparison of Different Optimization Techniques for Model-Based Design of a Buck Zero Voltage Switching Quasi-Resonant Direct Current to Direct Current Converter

Hinov,

Gilev

2023

Mathematics

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The present paper provides a comparison of different optimization techniques applied to the model-based design of a Buck Zero Voltage Switching (ZVS) Quasi-Resonant DC-DC Converter. The comparison was made both on the basis of the duration of the optimization procedures and in terms of guaranteeing the performance of the power electronic device. The main task of the paper is to present various techniques based on the use of mathematical software for the optimal design of Quasi-Resonant DC-DC converters. These topologies were chosen because in them, the design is carried out according to computational procedures, in which several iterations are often necessary for the successful completion of the process. An optimization procedure with a target function reference curve of the output voltage was used. In this way, the optimization is performed without the need for a complete design of the device but only by using base ratios, design constraints, and past experience to determine initial values and intervals of change in circuit parameters. This is also the main advantage of the used optimization of the reference curve type of the output, compared to applying other objective functions, such as achieving minimum losses or maximum efficiency of the device.

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“…RL algorithms can continuously adjust control parameters, such as voltage or current setpoints, to optimize system performance. This adaptability is particularly beneficial in systems with varying loads or renewable energy sources [59,60].…”

Section: Adaptive Controlmentioning

confidence: 99%

Review of Machine Learning Techniques for Power Electronics Control and Optimization

Bahrami,

Khashroum

2023

CRPASE

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In the rapidly advancing landscape of contemporary technology, power electronics assume a pivotal role across diverse applications, ranging from renewable energy systems to electric vehicles and consumer electronics. The efficacy and precision of these power electronics systems stand as cornerstones of their functionality. Within this context, the integration of machine learning techniques assumes paramount significance. This article endeavors to present an extensive and comprehensive review of the machine learning techniques that find application in power electronics control and optimization. Through meticulous exploration, we aim to elucidate the profound potential of these methods in shaping the future of power electronics control and optimization.

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Applications of artifical intelligence in power electronics

Cited by 18 publications

References 28 publications

Smart Energy Systems Based on Next-Generation Power Electronic Devices

Smart Energy Systems Based on Next-Generation Power Electronic Devices

Comparison of Different Optimization Techniques for Model-Based Design of a Buck Zero Voltage Switching Quasi-Resonant Direct Current to Direct Current Converter

Review of Machine Learning Techniques for Power Electronics Control and Optimization

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