
Artificial Intelligence-based Smart Power Systems
Padmanaban(Author)
Wiley-Blackwell (Publisher)
1st Edition
Published on 19. February 2023
Book
Hardback
416 pages
978-1-119-89396-7 (ISBN)
Description
Authoritative resource describing the 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, covering many new topics such as distribution Phasor management, 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 highly qualified editors include many learning resources throughout the text, including MATLAB and HIL codes, end-of-chapter problems, end-of-book solutions, 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 HDVC/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 for microgrids
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.
Artificial Intelligence-based Smart Power Systems presents advanced technologies used in various aspects of smart power systems, especially grid-connected and industrial evolution, covering many new topics such as distribution Phasor management, 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 highly qualified editors include many learning resources throughout the text, including MATLAB and HIL codes, end-of-chapter problems, end-of-book solutions, 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 HDVC/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 for microgrids
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.
More details
Language
English
Place of publication
Hoboken
United States
Publishing group
John Wiley and Sons Ltd
Target group
Professional and scholarly
Dimensions
Height: 254 mm
Width: 203 mm
Thickness: 22 mm
Weight
1039 gr
ISBN-13
978-1-119-89396-7 (9781119893967)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions

Sanjeevikumar Padmanaban | Palanisamy Sivaraman | Chenniappan Sharmeela
Artificial Intelligence-based Smart Power Systems
E-Book
12/2022
1st Edition
Wiley
€118.99
Available for download

Sanjeevikumar Padmanaban | Palanisamy Sivaraman | Chenniappan Sharmeela
Artificial Intelligence-based Smart Power Systems
E-Book
12/2022
1st Edition
Wiley
€115.99
Available for download
Person
Sanjeevikumar Padmanaban, PhD, is a Faculty Member with the Department of Business Development and Technology, Aarhus University, Denmark. He serves as an Editor/Associate Editor/Editorial Board of refereed journals, in particular, the IEEE Systems Journal, the IEEE Access Journal, the IET Power Electronics, and Journal of Power Electronics, Korea.
P. Sivaraman, PhD, is an Assistant Manager (Electrical) in Leading Engineering Organisation, Chennai, India. He is an active participant in IEEE standards association.
C. Sharmeela, PhD, is an Associate Professor in the Department of EEE, CEG campus, Anna University, Chennai, India. She is a senior member of IEEE, Life member of CBIP, Life-member of the Institution of Engineers (India), ISTE and SSI.
Jens Bo Holm-Nielsen, PhD, is the Head of the Esbjerg Energy Section with the Department of Energy Technology at Aalborg University. He has been an organizer of various international conferences, workshops, and training programs.
P. Sivaraman, PhD, is an Assistant Manager (Electrical) in Leading Engineering Organisation, Chennai, India. He is an active participant in IEEE standards association.
C. Sharmeela, PhD, is an Associate Professor in the Department of EEE, CEG campus, Anna University, Chennai, India. She is a senior member of IEEE, Life member of CBIP, Life-member of the Institution of Engineers (India), ISTE and SSI.
Jens Bo Holm-Nielsen, PhD, is the Head of the Esbjerg Energy Section with the Department of Energy Technology at Aalborg University. He has been an organizer of various international conferences, workshops, and training programs.