Nonlinear Optimal Control and Differential Flatness for Renewable Energy Systems and Evs in the Smart Grid

Erscheinungsjahr 2027
ISBN: 978-0-443-45101-0
Verlag: Elsevier Science

Buch, Englisch, 350 Seiten, Format (B × H): 152 mm x 229 mm, Gewicht: 449 g

Nonlinear Optimal Control and Differential Flatness for Renewable Energy Systems and EVs in the Smart Grid addresses the need for developing and implementing nonlinear control, estimation, and fault diagnosis methods, to enable the integration of renewable energy resources in the power grid as well as the optimization of power management in electric vehicles. The book targets several technical challenges, including intelligent control of electric machines and of power electronics, fault tolerant control and fault diagnosis for renewable energy systems and EVs, nonlinear control for synchronization of the electricity grid, and computational intelligence techniques for electric power. The dynamic models of new configurations of distributed and interconnected renewable energy systems, as well as those of new forms of powertrains of electric vehicles, are characterized by unique controllability, observability and detectability properties, with the potential to reach genuine and impactful results. This is of interest to researchers, graduate students, and faculty across renewable energy, electrical engineering, computer science, power systems, power electronics, electric vehicles, and transportation systems, as well as engineers working on control problems and estimation methods, and skilled technical personnel working on real applications.

Autoren/Hrsg.

Rigatos, Gerasimos

Abbaszadeh, Masoud

Siano, Pierluigi

Zribi, Mohamed

Fachgebiete

• Technische Wissenschaften Energietechnik | Elektrotechnik Elektrotechnik
• Technische Wissenschaften Energietechnik | Elektrotechnik Alternative und erneuerbare Energien
• Technische Wissenschaften Energietechnik | Elektrotechnik Energietechnik & Elektrotechnik
• Technische Wissenschaften Energietechnik | Elektrotechnik Energieverteilung, Stromnetze

Inhaltsverzeichnis

1. Control and estimation for AC renewable energy systems
2. Control and estimation for DC renewable energy systems
3. Control and estimation for distributed renewable energy systems
4. Fault diagnosis for renewable energy systems
5. Advanced control for electric vehicles (EVs) with asynchronous motors
6. Advanced control for electric vehicles (EVs) with synchronous motors
7. Advanced control for electric vehicles (EVs) with multi-phase motors
8. Fault diagnosis for the traction system and powertrains of electric vehicles (EVs)

Über Autor(innen)

Zribi, Mohamed
Dr. Mohamed Zribi is currently a Professor in the Electrical Engineering Department, at Kuwait University, Kuwait. He received his Ph.D. in Electrical Engineering from Purdue University, Indiana, USA, in 1992. He was with the Nanyang Technological University, Singapore, from 1992 until 1998. His research interests are in nonlinear control, sliding mode control, renewable energy, motion control, and robotics.

Abbaszadeh, Masoud
Dr. Masoud Abbaszadeh is currently a Principal Research Engineer at the GE Vernova Research Center, NY, USA. He received his Ph.D. in Electrical and Computer Engineering from the University of Alberta, Edmonton, Canada, in 2008. From 2008 to 2011, he was a Research Engineer with Maplesoft, in Ontario, Canada, and from 2011 to 2013, he was a Senior Research Engineer at United Technologies Research Center, CT, USA, working on advanced control systems, and complex systems modelling and simulation. His research interests include estimation and detection theory, robust and nonlinear control, and machine learning with applications in cyber-physical security and resilience and autonomous systems. Dr. Abbaszadeh has authored over 170 peer-reviewed papers and 9 book chapters, holds 42 issued US patents, and has published four books. He is an Associate Editor of IEEE Transactions on Control Systems Technology, and a member of the IEEE CSS Conference Editorial Board.

Siano, Pierluigi
Dr. Pierluigi Siano is a Professor and Scientific Director of the Smart Grids and Smart Cities Laboratory with the Department of Management and Innovation Systems, at the University of Salerno, Italy. He received his Ph.D. degree from the University of Salerno in 2006. Since 2021 he has been a Distinguished Visiting Professor in the Department of Electrical and Electronic Engineering Science, University of Johannesburg, South Africa. His research activities are centred on demand response, energy management, integration of distributed energy resources in smart grids, electricity markets, and planning and management of power systems. Prof. Siano has co-authored more than 680 articles, with 15,240 citations (Scopus), and was a Web of Science Highly Cited Researcher in Engineering in 2019, 2020, and 2021. He is Editor for the Power and Energy Society Section of IEEE Access and several other IEEE publications, and was previously Chair of the IES TC on Smart Grids.

Rigatos, Gerasimos
Dr. Gerasimos Rigatos is currently a Research Director (Researcher Grade A') at the Industrial Systems Institute, Greece. He obtained his Ph.D. from the National Technical University of Athens (NTUA), Greece, in 2000, and was subsequently a post-doctoral researcher at IRISA-INRIA, Rennes, France. He is a Senior Member of IEEE, and a Member and CEng of IET. Dr. Rigatos has led several research cooperation agreements and projects with accredited results in the areas of nonlinear control, nonlinear filtering, and control of distributed parameter systems, and his results appear in 12 research monographs and in several journal articles. He is first author of 150 journal articles, receiving over 3,400 citations (Scopus), and is an Editor of the Journal of Information Sciences, the Journal of Advanced Robotic Systems, the SAE Journal of Electrified Vehicles, and the Journal of Power Electronics and Drives. He has held visiting professor positions at several universities in Europe.