Junction Temperature Prediction of Insulated-Gate Bipolar Transistors in Wind Power Systems Based on an Improved Honey Badger Algorithm

Junction Temperature Prediction of Insulated-Gate Bipolar Transistors in Wind Power Systems Based on an Improved Honey Badger Algorithm

To reduce carbon dioxide emissions, wind power generation is receiving more attention. The conversion of wind energy into electricity requires frequent use of insulated-gate bipolar transistors (IGBTs). Therefore, it is important to improve their reliability. This study proposed a method to predict...

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Bibliographic Details
Main Authors: Chao Zhou, Bing Gao, Haiyue Yang, Xudong Zhang, Jiaqi Liu, Lingling Li
Format: Article
Language:English
Published: MDPI AG 2022-10-01
Series:Energies
Subjects:
wind power system
junction temperature prediction
insulated-gate bipolar transistors
improved honey badger algorithm
extreme learning machine
Online Access:https://www.mdpi.com/1996-1073/15/19/7366

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https://www.mdpi.com/1996-1073/15/19/7366

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