Modeling and Control Dynamics in Microgrid Systems with Renewable Energy Resources

1st Edition - November 21, 2023
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

Modeling and Control Dynamics in Microgrid Systems with Renewable Energy Resources

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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.

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

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 at the University of Sharjah and Extraordinary Professor at the University of Pretoria.

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, Tanzania

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, Tanzania