Artificial Intelligence-based Smart Power Systems
English
By (author): Jens Bo Holm-Nielsen Sanjeevikumar Padmanaban Sharmeela Chenniappan Sivaraman Palanisamy
ARTIFICIAL INTELLIGENCE-BASED SMART POWER SYSTEMS
Authoritative resource describing artificial intelligence and advanced technologies in smart power systems with simulation examples and case studies
Artificial Intelligence-based Smart Power Systems presents advanced technologies used in various aspects of smart power systems, especially grid-connected and industrial evolution. It covers many new topics such as distribution phasor measurement units, blockchain technologies for smart power systems, the application of deep learning and reinforced learning, and artificial intelligence techniques. The text also explores the potential consequences of artificial intelligence and advanced technologies in smart power systems in the forthcoming years.
To enhance and reinforce learning, the editors include many learning resources throughout the text, including MATLAB, practical examples, and case studies.
Artificial Intelligence-based Smart Power Systems includes specific information on topics such as:
- Modeling and analysis of smart power systems, covering steady state analysis, dynamic analysis, voltage stability, and more
- Recent advancement in power electronics for smart power systems, covering power electronic converters for renewable energy sources, electric vehicles, and HVDC/FACTs
- Distribution Phasor Measurement Units (PMU) in smart power systems, covering the need for PMU in distribution and automation of system reconfigurations
- Power and energy management systems
Engineering colleges and universities, along with industry research centers, can use the in-depth subject coverage and the extensive supplementary learning resources found in Artificial Intelligence-based Smart Power Systems to gain a holistic understanding of the subject and be able to harness that knowledge within a myriad of practical applications.
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