
Modeling and Control Dynamics in Microgrid Systems with Renewable Energy Resources
- 1st Edition - November 21, 2023
- Imprint: Academic Press
- Editors: Ramesh C. Bansal, J. J. Justo, F. Mwasilu
- Language: English
- Paperback ISBN:9 7 8 - 0 - 3 2 3 - 9 0 9 8 9 - 1
- eBook ISBN:9 7 8 - 0 - 3 2 3 - 9 0 9 9 0 - 7
Modelling and Control Dynamics in Microgrid Systems with Renewable Energy Resources looks at complete microgrid systems integrated with renewable energy resources (RERs) such a… Read more

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Request a sales quoteModelling 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.
- Includes simulations with case studies and real-world applications of energy system models
- Detailed systematic modeling with mathematical analysis is covered
- Features possible operating scenarios with solutions to the encountered issues
Researchers, professionals working in the field of Renewable Energy Sources, Power Systems, Microgrids and their control; Energy engineers, renewable energy experts, R&D organizations and industry professionals engaged in research in the field of Renewable Energy and Standalone Microgrids
- Cover image
- Title page
- Table of Contents
- Copyright
- List of contributors
- Section I: Fundamentals of microgrids
- Chapter One. Overview of renewable energy power system dynamics
- Abstract
- 1.1 Introduction
- 1.2 Components of renewable energy and dynamics
- 1.3 Modeling of solar PV
- 1.4 Modeling of wind energy conversion systems
- 1.5 Geothermal energy
- 1.6 Modeling of hydropower plant
- 1.7 Modeling of DC–DC converters
- 1.8 Causes of low inertia and effects to grid
- 1.9 Power system inertia and frequency stability
- 1.10 Use of DSTATCOM for RE high penetration grids
- 1.11 Conclusion
- References
- Chapter Two. Conceptual framework of microgrid and virtual power plants with renewable energy resources
- Abstract
- 2.1 Introduction
- 2.2 Introducing the POET framework
- 2.3 Technology perspective
- 2.4 Equipment perspective
- 2.5 Operation perspective
- 2.6 Performance perspective
- 2.7 Conclusion and recommendation
- References
- Chapter Three. Overview of optimal operations of renewable energy power systems in microgrid and virtual power plants
- Abstract
- 3.1 Introduction
- 3.2 Microgrid and virtual power plants
- 3.3 Virtual power plant
- 3.4 Scheduling problem of grid rich with renewables
- 3.5 Optimization criterion for hybrid distributed energy resources
- 3.6 Virtual inertia inverter
- 3.7 Stand-alone applications
- 3.8 Stability issues
- 3.9 Conclusion and recommendation
- References
- Chapter Four. Hybrid microgrids: architecture, modeling, limitations, and solutions
- Abstract
- 4.1 Introduction of microgrids
- 4.2 Types of microgrids
- 4.3 Architecture and operation of hybrid AC/DC microgrid
- 4.4 Modeling of hybrid AC/DC microgrid
- 4.5 Implementation challenges and solutions of hybrid AC/DC microgrid
- 4.6 Technical challenges
- 4.7 Conclusions
- References
- Chapter Five. Techno-economic analysis of renewable integrated power system for enhanced resilience
- Abstract
- 5.1 Introduction
- 5.2 Optimal placement framework
- 5.3 Solution methodology
- 5.4 Case study results
- 5.5 Conclusion
- Appendix
- References
- Chapter Six. Techno-economic analysis of renewable power systems
- Abstract
- Nomenclature
- Indices
- Abbreviation
- 6.1 Introduction
- 6.2 Cost, environmental, and operational aspects of renewable power systems
- 6.3 Metrics used for techno-economic analysis of renewable power systems
- 6.4 Internal rate of return of investment on renewable capacity
- 6.5 Payback period of investment in renewable capacity
- 6.6 Techno-economic assessment of renewable systems in the literature
- 6.7 Conclusion
- References
- Section II: Modeling and control of microgrids
- Chapter Seven. Comprehensive discussions on energy storage devices: modeling, control, stability analysis with renewable energy resources in microgrid and virtual power plants
- Abstract
- 7.1 Introduction to microgrids
- 7.2 Energy storage technologies
- 7.3 Classification of energy storage systems
- 7.4 Electrostatic and magnetic energy storage
- 7.5 Supermagnetic energy storage
- 7.6 Modeling of SMESS
- 7.7 Electrochemical energy storage
- 7.8 Comparison among the energy storage systems
- 7.9 Applications of energy storage in microgrids
- 7.10 Application of BESS in the enhancement of frequency and voltage stability of a microgrid
- 7.11 Industrial energy storage solutions—case study
- 7.12 Conclusion
- References
- Chapter Eight. Direct current microgrid systems with classical control techniques
- Abstract
- 8.1 Introduction
- 8.2 Primary controller
- 8.3 Secondary controller
- 8.4 Conclusion
- References
- Chapter Nine. Modeling and control dynamics of microgrid with renewable energy systems
- Abstract
- 9.1 Introduction
- 9.2 Dynamic modeling of doubly fed induction generator–based wind turbine for microgrid application
- 9.3 Control design of stand-alone doubly fed induction generator–based wind power system
- 9.4 DFIG's system control strategy
- References
- Chapter Ten. Modeling of an isolated microgrid supplying continuous power at stable voltage using a novel pumped hydro storage system with solar energy
- Abstract
- 10.1 Introduction
- 10.2 Energy storage devices
- 10.3 PHS with novel operational methodology
- 10.4 System modeling
- 10.5 Technological aspects
- 10.6 Design and components selection
- 10.7 Case study
- 10.8 Results and discussion
- 10.9 Economical analysis
- 10.10 Applications of present microgrid
- 10.11 Conclusions
- References
- Chapter Eleven. Fault ride through/low voltage ride through capability of doubly fed induction generator–based wind energy conversion system: a comprehensive review
- Abstract
- 11.1 Introduction
- 11.2 Secondary/auxilary hardware to enhance FRT
- 11.3 Control approaches to enhance FRT
- 11.4 Conclusion
- References
- Chapter Twelve. Fault ride through techniques based on hardware circuits for DFIG based wind turbines
- Abstract
- 12.1 Introduction
- 12.2 Modeling and control of doubly fed induction generator
- 12.3 Simulation results and discussion
- 12.4 Example of parameters optimization for hardware-based low-voltage ride-through scheme
- 12.5 Determination of fitness function
- 12.6 Synthesis of genetic algorithm optimization
- 12.7 Optimization using a genetic algorithm approach
- 12.8 Systematic determination of a genetic algorithm solution
- 12.9 Performance validation and discussions
- Appendix A
- References
- Chapter Thirteen. Microgrid system design, modeling, and simulation
- Abstract
- 13.1 Introduction
- 13.2 Microgrid grid system
- 13.3 Distributed energy resources
- 13.4 Microgrid system
- 13.5 Microgrid software simulation and implementation
- 13.6 Solved and unsolved problems on protective relaying system
- 13.7 Conclusion
- Acknowledgments
- References
- Chapter Fourteen. Data security and privacy, cyber-security enhancement, and systems recovery approaches for microgrid networks
- Abstract
- 14.1 Introduction
- 14.2 Microgrid overview
- 14.3 Microgrids as cyber-physical systems
- 14.4 Role of data security and privacy in microgrids
- 14.5 Cyber-attack risks and vulnerabilities in microgrids
- 14.6 Desirable microgrid data qualities for enhanced cyber-security
- 14.7 Approaches to enhancing microgrid cyber-security
- 14.8 Microgrid recovery systems
- 14.9 Conclusion
- References
- Index
- Edition: 1
- Published: November 21, 2023
- No. of pages (Paperback): 432
- No. of pages (eBook): 510
- Imprint: Academic Press
- Language: English
- Paperback ISBN: 9780323909891
- eBook ISBN: 9780323909907
RB
Ramesh C. Bansal
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).
Affiliations and expertise
Professor, University of Sharjah, United Arab EmiratesJJ
J. J. Justo
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.
Affiliations and expertise
Professor, Department of Electrical Engineering, University of Dar es Salaam, TanzaniaFM
F. Mwasilu
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.
Affiliations and expertise
Professor, Department of Electrical Engineering, University of Dar es Salaam, TanzaniaRead Modeling and Control Dynamics in Microgrid Systems with Renewable Energy Resources on ScienceDirect