Control, Communication, Monitoring and Protection of Smart Grids
Published on 19. November 2024
Book
Hardback
474 pages
978-1-83953-804-9 (ISBN)
Description
Smart grids enable efficient integration of rising shares of distributed and intermittent renewable power generation at various scales, and variable loads, for example from electric vehicles. This requires sophisticated communication and computation, as well as monitoring and protection from both malfunctions and malicious interference.
Control, Communication, Monitoring and Protection of Smart Grids summarises recent developments in the field. It begins by reviewing the principles of smart grids and microgrids, and their relation to renewables and power electronics. Ensuing chapters deal with renewable energy integration in smart grids, adaptive control, reinforcement learning, advanced and robust control, bi-directional virtual inertia, fault direction identification, smart grid protection, cyber-power grid monitoring, condition monitoring and health prognosis, and PV integrated EV charging in V2G/G2V operation. A final chapter brings together case studies from various countries.
This book offers a series of broad of perspectives on important questions in the field of smart grids and their control, for researchers involved with power grids, as well as those in electrical and computer engineering in the power industry.
Control, Communication, Monitoring and Protection of Smart Grids summarises recent developments in the field. It begins by reviewing the principles of smart grids and microgrids, and their relation to renewables and power electronics. Ensuing chapters deal with renewable energy integration in smart grids, adaptive control, reinforcement learning, advanced and robust control, bi-directional virtual inertia, fault direction identification, smart grid protection, cyber-power grid monitoring, condition monitoring and health prognosis, and PV integrated EV charging in V2G/G2V operation. A final chapter brings together case studies from various countries.
This book offers a series of broad of perspectives on important questions in the field of smart grids and their control, for researchers involved with power grids, as well as those in electrical and computer engineering in the power industry.
More details
Series
Language
English
Place of publication
Stevenage
United Kingdom
Target group
College/higher education
Professional and scholarly
Product notice
sewn/stitched
Cloth over boards
Dimensions
Height: 234 mm
Width: 156 mm
Thickness: 27 mm
Weight
835 gr
ISBN-13
978-1-83953-804-9 (9781839538049)
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
Persons
Bidyadhar Subudhi is the Director of the National Institute of Technology Warangal and is currently on deputation from the Indian Institute of Technology Goa, where he is a Professor in the School of Electrical Sciences. He was a recipient of the Outstanding Leadership Award by the IEEE Computer Society, Bioinspired Computing, in 2022. He is a Fellow of the Indian National Academy of Engineering, the Asia-Pacific Artificial Intelligence Association, the IET, and the Industry Academy of the International Artificial Intelligence Industry Alliance. His research interests include systems and control, applications of power electronics and control to power systems, microgrids, and electric vehicles. He has supervised 44 PhD theses.
Pravat Kumar Ray is a professor at the Department of Electrical Engineering, National Institute of Technology Rourkela, India. From January 2016 to June 2017, he was a postdoctoral fellow at Nanyang Technological University, Singapore. He has more than 20 years of experience in research on estimation and filtering in power systems, power quality, hybrid AC/DC grids, solar irradiance forecasting and renewable integration. He received the excellent research paper award of the CSEE Journal of Power and Energy System in 2021 and the best research paper award for the Journal of Modern Power System and Clean Energy in 2022.
Vinod Khadkikar is a professor in the Electrical Engineering Department at Khalifa University, Abu Dhabi, UAE. From December 2008 to March 2010, he was a postdoctoral fellow at the University of Western Ontario, Canada, and in 2010, a visiting professor at MIT, Cambridge, USA. He is an IEEE Fellow and a prominent lecturer for the IEEE Industry Applications Society. He also serves as Co-Editor-in-Chief of IEEE Transactions on Industrial Electronics. His research interests include the application of power electronics in distribution systems and renewable energy resources, grid interconnection, power quality, active power filters, and electric vehicles.
Pravat Kumar Ray is a professor at the Department of Electrical Engineering, National Institute of Technology Rourkela, India. From January 2016 to June 2017, he was a postdoctoral fellow at Nanyang Technological University, Singapore. He has more than 20 years of experience in research on estimation and filtering in power systems, power quality, hybrid AC/DC grids, solar irradiance forecasting and renewable integration. He received the excellent research paper award of the CSEE Journal of Power and Energy System in 2021 and the best research paper award for the Journal of Modern Power System and Clean Energy in 2022.
Vinod Khadkikar is a professor in the Electrical Engineering Department at Khalifa University, Abu Dhabi, UAE. From December 2008 to March 2010, he was a postdoctoral fellow at the University of Western Ontario, Canada, and in 2010, a visiting professor at MIT, Cambridge, USA. He is an IEEE Fellow and a prominent lecturer for the IEEE Industry Applications Society. He also serves as Co-Editor-in-Chief of IEEE Transactions on Industrial Electronics. His research interests include the application of power electronics in distribution systems and renewable energy resources, grid interconnection, power quality, active power filters, and electric vehicles.
Content
Chapter 1: Introduction to smart grids and microgrids
Chapter 2: Renewable energy system integration in smart grids
Chapter 3: Adaptive control schemes for AC microgrid
Chapter 4: Reinforcement learning-based inter-area damping controller considering communication channel latency and actuator saturation
Chapter 5: Application of advanced and robust control schemes with cyber resiliency in microgrid network
Chapter 6: Bidirectional virtual inertia through decentralized virtual synchronous generator control in hybrid AC-DC microgrids
Chapter 7: Power quality issues in microgrids
Chapter 8: Advanced fault direction identification strategy for AC microgrid protection
Chapter 9: Communication and computations for smart grid protection
Chapter 10: Holonic architecture for cyber-power distribution grid monitoring and operation
Chapter 11: Condition monitoring and health prognosis applications in smart grids
Chapter 12: Power electronics in a PV-integrated grid-connected electric vehicle charging system for V2G/G2V operation
Chapter 13: Smart grid scenarios of different countries
Chapter 2: Renewable energy system integration in smart grids
Chapter 3: Adaptive control schemes for AC microgrid
Chapter 4: Reinforcement learning-based inter-area damping controller considering communication channel latency and actuator saturation
Chapter 5: Application of advanced and robust control schemes with cyber resiliency in microgrid network
Chapter 6: Bidirectional virtual inertia through decentralized virtual synchronous generator control in hybrid AC-DC microgrids
Chapter 7: Power quality issues in microgrids
Chapter 8: Advanced fault direction identification strategy for AC microgrid protection
Chapter 9: Communication and computations for smart grid protection
Chapter 10: Holonic architecture for cyber-power distribution grid monitoring and operation
Chapter 11: Condition monitoring and health prognosis applications in smart grids
Chapter 12: Power electronics in a PV-integrated grid-connected electric vehicle charging system for V2G/G2V operation
Chapter 13: Smart grid scenarios of different countries