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 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.