Modeling and Control Dynamics in Microgrid Systems with Renewable Energy Resources (Paperback)

J.J. Justo

ISBN 10: 0323909892 / ISBN 13: 9780323909891

Published by Elsevier Science & Technology, Oxford, 2023

Paperback. Modelling and Control Dynamics in Microgrid Systems with Renewable Energy Resources looks at complete microgrid systems integrated with renewable energy resources (RERs) such as solar, wind, biomass or fuel cells that facilitate remote applications and allow access to pollution-free energy. Designed and dedicated to providing a complete package on microgrid systems modelling and control dynamics, this book elaborates several aspects of control systems from classical approach to advanced techniques based on artificial intelligence. It captures the typical modes of operation of microgrid systems with distributed energy storage applications like battery, flywheel, electrical vehicles infrastructures that are integrated within microgrids with desired targets. More importantly, the techno-economics of these microgrid systems are well addressed to accelerate the process of achieving the SDG7 i.e., affordable and clean energy for all (E4ALL). This reference presents the latest developments including step by step modelling processes, data security and standards protocol for commissioning of microgrid projects, making this a useful tool for researchers, engineers and industrialists wanting a comprehensive reference on energy systems models. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Seller Inventory # 9780323909891

Synopsis:

Modelling and Control Dynamics in Microgrid Systems with Renewable Energy Resources looks at complete microgrid systems integrated with renewable energy resources (RERs) such as solar, wind, biomass or fuel cells that facilitate remote applications and allow access to pollution-free energy. Designed and dedicated to providing a complete package on microgrid systems modelling and control dynamics, this book elaborates several aspects of control systems from classical approach to advanced techniques based on artificial intelligence. It captures the typical modes...

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About the Authors: Ramesh C. Bansal is a Professor at University of Sharjah and Extraordinary Professor at University of Pretoria. He has over 25 years of teaching and research experience, and previously worked at University of Pretoria, University of Queensland, University of South Pacific, and BITS, Pilani. He has published over 400 journal/conf. papers, books/book chapters, and is he AE/Editor of many reputed journals. He has Google citations of over 16000 and h-index of 60. He has supervised 25 PhD, 5 Post Docs. He is a Fellow of IET-UK, IE (India), SAIEE (South Africa).

Dr. J. J. Justo is currently working with the Department of Electrical Engineering, University of Dar es Salaam, Tanzania. His research interests are intelligent Systems for Big Energy, Power converter control using artificial intelligent control approaches (Fuzzy, Neural Networks, adaptive systems and model predictive control) for grid-code requirements, energy efficiency and management in smart city and transportation, electric vehicle (EVs) and drives, grid integration of renewable energy resources with nano grid, AC and DC microgrid, virtual power plants (VPPs) configuration and the energy internet i.e., “Enernet”. Moreover, power system operation and dynamics, operating constraints for power pools, smart grid control, operation and protection with EVs and ESS using real-time digital simulation (RTDS) and OPAL-RT units.

Dr. F. Mwasilu is currently working with Department of Electrical Engineering, University of Dar es Salaam, Tanzania. From 2008 to 2009 he was an Instrumentation Engineer with Illovo Sugar Ltd, Tanzania. From 2009 to 2011, he was a Utilities Engineer with the Japan Tobacco International, Tanzania. Since July 2016, he has been a Lecturer with the Department of Electrical. His current research interests include digital signal processor-based electric machine drives, electric vehicles, smart grid enabling technologies, and renewable energy sources integration into modern power systems.

Bibliographic Details

Title: Modeling and Control Dynamics in Microgrid ...
Publisher: Elsevier Science & Technology, Oxford
Publication Date: 2023
Binding: Paperback
Condition: new