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.
- Covers modeling, control theorems and optimization techniques which will solve many scientific issues for researchers in renewable energy
- Discusses many multidisciplinary applications with new fundamentals, modeling, analysis, design, realization and experimental results
- Includes new circuits and systems, helping researchers solve many nonlinear problems
1. Efficiency maximization of wind turbines using data-driven Model-Free
Adaptive Control
2. Advanced control design based on sliding modes technique for power
extraction maximization in variable speed wind turbine
3. Generic modeling and control of wind turbines following IEC 61400-27-1
4. Development of a nonlinear backstepping approach of gridconnected PMSG
wind farm Structure
5. Model predictive control-based energy management strategy for
grid-connected residential photovoltaic_wind_battery system
6. Efficient maximum power point tracking in fuel cell using the
fractional-order PID controller
7. Robust adaptive nonlinear controller of wind energy conversion system
based on permanent magnet synchronous generator
8. Improvement of fuel cell MPPT performance with a fuzzy logic controller
9. Control strategies of wind energy conversion system-based doubly fed
induction generator
10. Modeling of a high-performance three-phase voltage-source boost inverter
with the implementation of closed-loop control
11. Advanced control of PMSG-based wind energy conversion system applying
linear matrix inequality approach
12. Fractional-order controller design and implementation for maximum power
point tracking in photovoltaic panels
13. Technoeconomic modeling of standalone and hybrid renewable energy systems
for thermal applications in isolated areas
14. Solar thermal systeman insight into parabolic trough solar collector and
its modelling
15. Energy hub: modeling, control, and Optimization
16. Simulation of solar-powered desiccant-assisted cooling in hot and humid
climates
17. Recent optimal power flow Algorithms
18. Challenges for the optimum penetration of photovoltaic systems
19. Modeling and optimization of performance of a straight bladed HDarrieus
vertical-axis wind turbine in low wind speed condition: a hybrid
multicriteria decision-making approach
20. Maximum power point tracking design using particle swarm optimization
algorithm for wind energy conversion system connected to the grid
21. Multiobjective optimization-based energy management system considering
renewable energy, energy storage systems, and electric vehicles
22. Fuel cell parameters estimation using optimization techniques
23. Optimal allocation of distributed generation/shunt capacitor using hybrid
analytical/metaheuristic techniques
24. Optimal appliance management system with renewable energy integration for
smart homes
25. Solar cell parameter extraction using the Yellow Saddle Goatfish
Algorithm
26. Reactive capability limits for wind turbine based on SCIG for optimal
integration into the grid
27. Demand-side strategy management using PSO and BSA for optimal dayahead
load shifting in smart grid
28. Optimal power generation and power flow control using artificial
intelligent techniques
29. Nature-inspired computational intelligence for optimal sizing of hybrid
renewable energy system
30. Optimal design and techno-socioeconomic analysis of hybrid renewable
system for gird-connected system
31. Stand-alone hybrid system of solar photovoltaics/wind energy resources:
an eco-friendly sustainable approach
Ahmad Azar is a Research Associate Professor at the Prince Sultan University, Riyadh, Kingdom Saudi Arabia. He is also an associate professor at the Faculty of Computers and Artificial intelligence, in Benha University, Egypt. He is the Editor in Chief of the International Journal of System Dynamics Applications (IJSDA), International Journal of Service Science, Management, Engineering, and Technology (IJSSMET), and International Journal of Intelligent Engineering Informatics (IJIEI), among others. He is currently Associate Editor of ISA Transactions, Elsevier, and the IEEE systems journal. Dr. Azar works in the areas of control theory & applications, process control, chaos control and synchronization, nonlinear control, renewable energy, computational intelligence.
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