Artificial intelligence (AI)-based optimization of power electronic converters for improved power system stability and performance

Gros, Ioana-Cornelia; Lü, Xiaoshu; Oprea, Claudiu; Lu, Tao; Pintilie, Lucian (2023-10-09)
 
Katso/Avaa
Huom!
Tiedosto avautuu julkiseksi: : 09.10.2025
URI
https://doi.org/10.1109/SDEMPED54949.2023.10271490

Gros, Ioana-Cornelia
Lü, Xiaoshu
Oprea, Claudiu
Lu, Tao
Pintilie, Lucian
IEEE
09.10.2023
doi:10.1109/sdemped54949.2023.10271490
Näytä kaikki kuvailutiedot
Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi-fe2024031210899

Kuvaus

vertaisarvioitu
©2023 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Tiivistelmä
The present review paper provides an overview of the recent advances in AI-based techniques for the design and optimization of power electronic converters. There is an increased demand on power converters in applications like renewable energy generation, microgrids, electric and hybrid vehicles, high-voltage DC power transmission etc. with focus on their design and optimization. In this context, various AI techniques are discussed, such as: machine learning, deep learning, reinforcement learning, and evolutionary algorithms, artificial neural networks, fuzzy logic control, expert systems and their applications in power electronics and electric drives. Some case studies from the literature are referred and potential benefits of AI-assisted design and optimization of power electronic converters with aspects of enhanced power system stability and performance are highlighted.
Kokoelmat