Description
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
Table of Contents
1. Efficiency maximization of wind turbines using data-driven Model-Free Adaptive Control2. Advanced control design based on sliding modes technique for power extraction maximization in variable speed wind turbine3. Generic modeling and control of wind turbines following IEC 61400-27-14. Development of a nonlinear backstepping approach of gridconnected PMSG wind farm Structure5. Model predictive control-based energy management strategy for grid-connected residential photovoltaic_wind_battery system6. Efficient maximum power point tracking in fuel cell using the fractional-order PID controller7. Robust adaptive nonlinear controller of wind energy conversion system based on permanent magnet synchronous generator8. Improvement of fuel cell MPPT performance with a fuzzy logic controller9. Control strategies of wind energy conversion system-based doubly fed induction generator10. Modeling of a high-performance three-phase voltage-source boost inverter with the implementation of closed-loop control11. Advanced control of PMSG-based wind energy conversion system applying linear matrix inequality approach12. Fractional-order controller design and implementation for maximum power point tracking in photovoltaic panels13. Technoeconomic modeling of standalone and hybrid renewable energy systems for thermal applications in isolated areas14. Solar thermal system—an insight into parabolic trough solar collector and its modelling15. Energy hub: modeling, control, and Optimization16. Simulation of solar-powered desiccant-assisted cooling in hot and humid climates17. Recent optimal power flow Algorithms18. Challenges for the optimum penetration of photovoltaic systems19. Modeling and optimization of performance of a straight bladed HDarrieus vertical-axis wind turbine in low wind speed condition: a hybrid multicriteria decision-making approach20. Maximum power point tracking design using particle swarm optimization algorithm for wind energy conversion system connected to the grid21. Multiobjective optimization-based energy management system considering renewable energy, energy storage systems, and electric vehicles22. Fuel cell parameters estimation using optimization techniques23. Optimal allocation of distributed generation/shunt capacitor using hybrid analytical/metaheuristic techniques24. Optimal appliance management system with renewable energy integration for smart homes25. Solar cell parameter extraction using the Yellow Saddle Goatfish Algorithm26. Reactive capability limits for wind turbine based on SCIG for optimal integration into the grid27. Demand-side strategy management using PSO and BSA for optimal dayahead load shifting in smart grid28. Optimal power generation and power flow control using artificial intelligent techniques29. Nature-inspired computational intelligence for optimal sizing of hybrid renewable energy system30. Optimal design and techno-socioeconomic analysis of hybrid renewable system for gird-connected system31. Stand-alone hybrid system of solar photovoltaics/wind energy resources: an eco-friendly sustainable approach
