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Renewable Energy Systems: Modelling, Optimization and Control de Ahmad Taher Azar

Renewable Energy Systems: Modelling, Optimization and Control: Advances in Nonlinear Dynamical Systems and Robotics (ANDC)

Editat de Ahmad Taher Azar, Nashwa Ahmad Kamal
en Limba Engleză Paperback – 13 sep 2021
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
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Specificații

ISBN-13: 9780128200049
ISBN-10: 0128200049
Pagini: 732
Ilustrații: Approx. 200 illustrations
Dimensiuni: 216 x 276 x 40 mm
Greutate: 1.67 kg
Editura: ELSEVIER SCIENCE
Seria Advances in Nonlinear Dynamical Systems and Robotics (ANDC)

Public țintă

Academia, Postgraduate students, Professional Engineers in Control Engineering; Electrical and Electronics Engineering; Power Engineering; Mathematics and Applied Mathematics; Physics; Computer Engineering.
Academia, Postgraduate students, Professional Engineers in Mathematicians, Engineering Mathematics, Biomedical Engineering, Computer science. Computational Physics

Cuprins

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 system—an 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