AI for Power Electronics and Renewable Energy Systems
AI for Power Electronics and Renewable Energy Systems
by Weihao Hu, Guozhou Zhang, Zhenyuan Zhang, Sayed Abulanwar and Frede Blaabjerg
The Institution of Engineering and Technology, 2024 Cloth: 978-1-83953-774-5 | eISBN: 978-1-83724-364-8 (ePub) | eISBN: 978-1-83953-775-2 (PDF)
ABOUT THIS BOOK | TOC
ABOUT THIS BOOK
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.
TABLE OF CONTENTS
Chapter 1: Introduction to AI in power system
Chapter 2: Artificial intelligence for electric machine fault diagnosis
Chapter 3: Artificial intelligence in power electronic reliability, design, and control
Chapter 4: Application of artificial intelligence in dual-active-bridge (DAB) converters
Chapter 5: An active distribution network voltage control using artificial intelligence
Chapter 6: Energy management of hybrid systems using artificial intelligence
Chapter 7: Artificial intelligence in energy management of microgrid
Chapter 8: Artificial intelligence in renewable energy systems small signal stability control
Chapter 9: Conclusions and outlook using AI in power systems