Renewable Energy Systems

Modelling, Optimization and Control

1st Edition - September 9, 2021

Editors: Ahmad Taher Azar, Nashwa Ahmad Kamal

Paperback ISBN:

9 7 8 - 0 - 1 2 - 8 2 0 0 0 4 - 9

eBook ISBN:

9 7 8 - 0 - 1 2 - 8 2 0 3 9 8 - 9

Renewable Energy Systems: Modelling, Optimization and Control aims to cross-pollinate recent advances in the study of renewable energy control systems by bringing together diverse… Read more

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Renewable Energy Systems: Modelling, Optimization and Control aims to cross-pollinate recent advances in the study of renewable energy control systems by bringing together diverse scientific breakthroughs on the modeling, control and optimization of renewable energy systems by leading researchers. The book brings together the most comprehensive collection of modeling, control theorems and optimization techniques to help solve many scientific issues for researchers in renewable energy and control engineering. Many multidisciplinary applications are discussed, including new fundamentals, modeling, analysis, design, realization and experimental results. The book also covers new circuits and systems to help researchers solve many nonlinear problems.

This book fills the gaps between different interdisciplinary applications, ranging from mathematical concepts, modeling, and analysis, up to the realization and experimental work.

Cover image
Title page
Table of Contents
Copyright
List of contributors
Preface
About the book
Objectives of the book
Organization of the book
Book features
Audience
Acknowledgments
Chapter 1. Efficiency maximization of wind turbines using data-driven Model-Free Adaptive Control
Abstract
1.1 Introduction
1.2 Problem statement
1.3 Control design
1.4 Simulation study using FAST
1.5 Conclusions
References
Chapter 2. Advanced control design based on sliding modes technique for power extraction maximization in variable speed wind turbine
Abstract
2.1 Introduction
2.2 Modeling variable speed wind turbine
2.3 Sliding mode control design
2.4 Simulation results
2.5 Conclusion and future directions
Acknowledgments
Nomenclature
References
Appendix
Chapter 3. Generic modeling and control of wind turbines following IEC 61400-27-1
Abstract
3.1 Introduction
3.2 Literature review
3.3 Modeling, simulation and validation of the Type 3 WT model defined by Standard IEC 61400-27-1
3.4 Model validation results
3.5 Conclusions
References
Chapter 4. Development of a nonlinear backstepping approach of grid-connected permanent magnet synchronous generator wind farm structure
Abstract
4.1 Introduction
4.2 Related work
4.3 Mathematical model of wind turbine generator
4.4 Control schemes of wind farm
4.5 Simulation result analysis
4.6 Conclusions
Appendix
References
Further reading
Chapter 5. Model predictive control-based energy management strategy for grid-connected residential photovoltaic–wind–battery system
Abstract
5.1 Introduction
5.2 Related works
5.3 The architecture of original grid-tied PV–WT–battery and optimal control strategy
5.4 Energy management strategy and the model of the open-loop control
5.5 Model predictive control for the PV/wind turbine/battery system
5.6 Results and discussion
5.7 Conclusion
References
Chapter 6. Efficient maximum power point tracking in fuel cell using the fractional-order PID controller
Abstract
6.1 Introduction
6.2 PEMFC system description
6.3 MPPT control configuration
6.4 Design and implementation of FOPID MPPT control technique
6.5 Controller tuning using GWO
6.6 MPPT performance analysis
6.7 Conclusion
References
Chapter 7. Robust adaptive nonlinear controller of wind energy conversion system based on permanent magnet synchronous generator
Abstract
7.1 Introduction
7.2 Speed-reference optimization: power to optimal speed
7.3 Modeling of the association “permanent magnet synchronous generator–AC/DC/AC converter”
7.4 State-feedback nonlinear controller design
7.5 Output-feedback nonlinear controller design
7.6 Digital implementation
7.7 Conclusion
References
Chapter 8. Improvement of fuel cell MPPT performance with a fuzzy logic controller
Abstract
8.1 Introduction
8.2 Modeling of proton-exchange membrane fuel cells
8.3 Mathematical model of DC–DC converter
8.4 Proposed algorithm
8.5 Results and analysis
8.6 Discussion
8.7 Conclusion and perspectives
References
Chapter 9. Control strategies of wind energy conversion system-based doubly fed induction generator
Abstract
9.1 Introduction
9.2 Modeling with syntheses of PI controllers of wind system elements
9.3 Results and discussions
9.4 Conclusion
Appendix
References
Chapter 10. Modeling of a high-performance three-phase voltage-source boost inverter with the implementation of closed-loop control
Abstract
10.1 Introduction
10.2 Mathematical analysis of the three-phase boost inverter
10.3 System description
10.4 Results and discussions
10.5 Conclusion
References
Chapter 11. Advanced control of PMSG-based wind energy conversion system applying linear matrix inequality approach
Abstract
11.1 Introduction
11.2 Recent research on control in wind energy conversion systems
11.3 Model of the PMSG-based WECS
11.4 Controller design of the PMSG-based WECS
11.5 Simulation results and discussion
11.6 Conclusion
Appendix
References
Chapter 12. Fractional-order controller design and implementation for maximum power point tracking in photovoltaic panels
Abstract
12.1 Introduction
12.2 Related work
12.3 Problem formulation
12.4 Fractional-order design techniques for MPPT of photovoltaic panels
12.5 Numerical experiments
12.6 Discussion
12.7 Conclusion
References
Chapter 13. Techno-economic modeling of stand-alone and hybrid renewable energy systems for thermal applications in isolated areas
Abstract
13.1 Introduction
13.2 Materials and methods
13.3 Results and discussions
13.4 Technoeconomic analysis of the hybrid energy-based cooling system
13.5 Sensitivity analysis
13.6 Conclusion
References
Chapter 14. Solar thermal system—an insight into parabolic trough solar collector and its modeling
Abstract
14.1 Introduction
14.2 Related work
14.3 Parabolic trough solar collector—history
14.4 Parabolic trough solar collector—an overview
14.5 Performance evaluation of PTSC
14.6 Analytical thermal models
14.7 1-D heat transfer model
14.8 Potential applications
14.9 Discussion
14.10 Conclusion
Nomenclature
References
Chapter 15. Energy hub: modeling, control, and optimization
Abstract
15.1 Introduction
15.2 Energy management systems
15.3 Concept of energy hub
15.4 Mathematical modeling of energy hub
15.5 Energy hub with storage capacities
15.6 Integration of renewable resources to energy hub
15.7 Simulations
15.8 Optimization of energy hub in GAMS
15.9 Conclusion
References
Chapter 16. Simulation of solar-powered desiccant-assisted cooling in hot and humid climates
Abstract
16.1 Introduction
16.2 Literature survey
16.3 System description
16.4 Measurements
16.5 Data reduction and uncertainty analysis
16.6 Results and discussion
16.7 Prediction of system performance by use of TRNSYS simulation
16.8 Conclusion
Nomenclature
References
Chapter 17. Recent optimal power flow algorithms
Abstract
17.1 Introduction
17.2 Moth-flame optimization technique
17.3 Moth swarm algorithm
17.4 Multiverse optimization
17.5 Wale optimization algorithm
17.6 Objective functions
17.7 Results and discussions
17.8 Conclusion
Appendix A (Tables 17.A1–17.A5)
References
Chapter 18. Challenges for the optimum penetration of photovoltaic systems
Abstract
Nomenclature
18.1 Introduction
18.2 PV system management
18.3 PV system grid connection
18.4 Future technical regulatory aspects
18.5 Conclusions
Acknowledgments
References
Chapter 19. Modeling and optimization of performance of a straight bladed H-Darrieus vertical-axis wind turbine in low wind speed condition: a hybrid multicriteria decision-making approach
Abstract
19.1 Introduction
19.2 Related work
19.3 Turbine design and experimental description
19.4 Integrated entropy–multicriteria ratio analysis method
19.5 Modeling of vertical-axis wind turbine using integrated entropy–multicriteria ratio analysis method
19.6 Results and discussion
19.7 Conclusions and scope for future work
References
Chapter 20. Maximum power point tracking design using particle swarm optimization algorithm for wind energy conversion system connected to the grid
Abstract
20.1 Introduction
20.2 Wind energy conversion system modeling
20.3 Control strategies of the maximum power point tracking
20.4 Field-oriented control technique of the active and reactive power
20.5 Simulation results and discussion
20.6 Conclusion
Appendix A
References
Chapter 21. Multiobjective optimization-based energy management system considering renewable energy, energy storage systems, and electric vehicles
Abstract
21.1 Introduction
21.2 System description
21.3 Proposed scheduling and optimization model
21.4 Results and discussion
21.5 Conclusion
References
Chapter 22. Fuel cell parameters estimation using optimization techniques
Abstract
22.1 Introduction
22.2 Mathematical model of proton exchange membrane fuel cell stacks
22.3 Optimization techniques
22.4 Case study
22.5 Results and discussion
22.6 Conclusion
References
Chapter 23. Optimal allocation of distributed generation/shunt capacitor using hybrid analytical/metaheuristic techniques
Abstract
23.1 Introduction
23.2 Objective function
23.3 Mathematical formulation of the analytical technique
23.4 Metaheuristic technique
23.5 Simulation results
23.6 Conclusion
References
Chapter 24. Optimal appliance management system with renewable energy integration for smart homes
Abstract
24.1 Introduction
24.2 Related work
24.3 System architecture
24.4 The proposed approach for scheduling the home appliances
24.5 Results and discussion
24.6 Conclusion
References
Chapter 25. Solar cell parameter extraction using the Yellow Saddle Goatfish Algorithm
Abstract
25.1 Introduction
25.2 Solar cell mathematical modeling
25.3 Yellow Saddle Goatfish Algorithm-based solar cell extraction
25.4 Results and discussion
25.5 Experimental data measurement of 250 Wp PV module (SVL0250P) using SOLAR-4000 analyzer
25.6 Conclusion
References
Chapter 26. Reactive capability limits for wind turbine based on SCIG for optimal integration into the grid
Abstract
26.1 Introduction
26.2 Literature survey and grid code requirements
26.3 Reactive capability limits for squirrel cage induction generator
26.4 Estimation of reactive power limits for the grid side system
26.5 Reactive capability for DC bus capacitor
26.6 Validation results
26.7 Conclusion
Abbreviations
Appendix A
References
Chapter 27. Demand-side strategy management using PSO and BSA for optimal day-ahead load shifting in smart grid
Abstract
27.1 Introduction
27.2 DSM driven approaches
27.3 Mathematical formulation of the problem
27.4 Proposed demand management optimization algorithm
27.5 Energy management of the proposed system
27.6 Results and discussion
27.7 Conclusion
References
Chapter 28. Optimal power generation and power flow control using artificial intelligence techniques
Abstract
28.1 Introduction
28.2 Conventional methods
28.3 Artificial neural network and fuzzy logic to optimal power flow
28.4 Genetic algorithm
28.5 Application of expert system to power system
28.6 Assessment of optimal power flow by game playing concept
References
Chapter 29. Nature-inspired computational intelligence for optimal sizing of hybrid renewable energy system
Abstract
29.1 Introduction
29.2 Mathematical hybrid system model
29.3 Optimization formulation
29.4 Nature-inspired algorithms
29.5 Advantages and limitations of the algorithms
29.6 Numerical data
29.7 Results and discussion
29.8 Findings of the study
29.9 Conclusion and future directions
Acknowledgments
References
Chapter 30. Optimal design and techno-socio-economic analysis of hybrid renewable system for gird-connected system
Abstract
30.1 Introduction
30.2 Motivation and potential benefits of hybrid renewable sources
30.3 Hybrid renewable energy system design and optimization
30.4 Availability of renewable sources and utilization for case study
30.5 Modeling of hybrid renewable system components
30.6 Explanation of problem and methodology for case study
30.7 Results and discussion
30.8 Conclusion
Acknowledgment
References
Chapter 31. Stand-alone hybrid system of solar photovoltaics/wind energy resources: an eco-friendly sustainable approach
Abstract
31.1 Introduction
31.2 Renewable energy sources
31.3 Hybrid renewable energy systems
31.4 Modeling of SPV/wind HRES
31.5 Optimization and sizing of SPV/wind HRES
31.6 Future of SPV/wind HRES
31.7 Conclusion
References
Index

Ahmad Taher Azar

Prof. Ahmad Azar has received the M.Sc. degree in 2006 and Ph.D degree in 2009 from Faculty of Engineering, Cairo University, Egypt. He is a research associate Professor at Prince Sultan University, Riyadh, Kingdom Saudi Arabia. He is also an associate professor at the Faculty of Computers and Artificial intelligence, Benha University, Egypt. Prof. Azar is the Editor in Chief of International Journal of System Dynamics Applications (IJSDA) and International Journal of Service Science, Management, Engineering, and Technology (IJSSMET) published by IGI Global, USA. Also, he is the Editor in Chief of International Journal of Intelligent Engineering Informatics (IJIEI), Inderscience Publishers, Olney, UK. Prof. Azar has worked as associate editor of IEEE Trans. Neural Networks and Learning Systems from 2013 to 2017. He is currently Associate Editor of ISA Transactios, Elsevier and IEEE systems journal. Dr. Ahmad Azar has worked in the areas of Control Theory & Applications, Process Control, Chaos Control and Synchronization, Nonlinear control, Renewable Energy, Computational Intelligence and has authored/coauthored over 200 research publications in peer-reviewed reputed journals, book chapters and conference proceedings. He is an editor of many books in the field of fuzzy logic systems, modeling techniques, control systems, computational intelligence, chaos modeling and machine learning. Dr. Ahmad Azar is closely associated with several international journals as a reviewer. He serves as international programme committee member in many international and peer-reviewed conferences. Dr. Ahmad Azar has been a senior member of IEEE since December 2013 due to his significant contributions to the profession. Dr. Ahmad Azar is the recipient of several awards including: Benha University Prize for Scientific Excellence (2015, 2016, 2017 and 2018), the paper citation award from Benha University (2015, 2016, 2017 and 2018). In June 2018, Prof. Azar was awarded the Egyptian State Prize in Engineering Sciences, the Academy of Scientific Research and Technology of Egypt, 2017. In July 2018 he was selected as a member of Energy and Electricity Research council, Academy of Scientific Research, Ministry of Higher Education. In August 2018 he was selected as senior member of International Rough Set Society (IRSS).

Affiliations and expertise

Research Associate Professor, Prince Sultan University, Riyadh, Kingdom Saudi Arabia Associate Professor, Faculty of Computers and Artificial intelligence, Benha University, Egypt