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Full Description
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.
Artificial intelligence (AI) can meet this challenge with adaptive control and demand side management. When managing distributed and changing network components, AI can give control computers human-level performance, helping to solve key issues with intermittency, power quality and distributed generation and loads including EV. Use of AI for power systems has therefore become a research hotspot.
This reference book systematically treats the applications of AI in power electronics and renewable energy systems. The book begins with an introduction to AI in power systems, then subsequent chapters cover the use of AI for electric machine fault diagnosis, for power electronic reliability, design, and control, in dual-active-bridge converters; AI for distribution network voltage control, signal stability control, and energy management of hybrid systems as well as for renewable energy systems with AI. The book ends with conclusions and an outlook for AI in power systems. Numerous worked examples throughout the text help readers understand the operating and controlling guidelines.
Written by a team of well-known scientists and power system experts, AI for Power Electronics and Renewable Energy Systems is a valuable resource for researchers and PhD students, as well as experts in industry and utilities involved with electric power systems.
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
