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Hu W., Zhang G., Zhang Z., Abulanwar S., Blaabjerg F. (eds.) AI for Power Electronics and Renewable Energy Systems

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Hu W., Zhang G., Zhang Z., Abulanwar S., Blaabjerg F. (eds.) AI for Power Electronics and Renewable Energy Systems
IET, 2024. — 346 p. — (IET ENERGY ENGINEERING SERIES 242). — ISBN 978-1839537744.
Rising shares of renewable energy are needed to stave off catastrophic climate change, but also bring about the challenge of intermittency, jeopardizing power quality. Instead of large central generation units, many distributed generators and loads need to be managed in order to integrate renewable energy with power systems.
Introduction to AI in power system
Artificial intelligence for electric machine fault diagnosis
Artificial intelligence in power electronic reliability, design, and control
Application of artificial intelligence in dual-active-bridge (DAB) converters
An active distribution network voltage control using artificial intelligence
Energy management of hybrid systems using artificial intelligence
Artificial intelligence in energy management of microgrid
Artificial intelligence in renewable energy systems small signal stability control
Conclusions and outlook using AI in power systems
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