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.
1. 7.1: Introduction - p. 133 2. 7.2: Speed-reference optimization: power to optimal speed - p. 136 3. 7.3: Modeling of the association “permanent magnet synchronous generator–AC/DC/AC converter” - p. 137 4. 7.4: State-feedback nonlinear controller design - p. 139 5. 7.5: Output-feedback nonlinear controller design - p. 144 6. 7.6: Digital implementation - p. 152 7. 7.7: Conclusion - p. 157 8. References - p. 157 9. Chapter 8 Improvement of fuel cell MPPT performance with a fuzzy logic controller - p. 161 10. Chapter 9 Control strategies of wind energy conversion system-based doubly fed induction generator - p. 183 11. Chapter 10 Modeling of a high-performance three-phase voltage-source boost inverter with the implementation of closed-loop control - p. 211 12. Chapter 11 Advanced control of PMSG-based wind energy conversion system applying linear matrix inequality approach - p. 235 13. Chapter 12 Fractional-order controller design and implementation for maximum power point tracking in photovoltaic panels - p. 255 14. Chapter 13 Techno-economic modeling of stand-alone and hybrid renewable energy systems for thermal applications in isolated areas - p. 279 15. Chapter 14 Solar thermal system—an insight into parabolic trough solar collector and its modeling - p. 309 16. Chapter 15 Energy hub: modeling, control, and optimization - p. 339 17. Chapter 16 Simulation of solar-powered desiccant-assisted cooling in hot and humid climates - p. 363 18. Chapter 17 Recent optimal power flow algorithms - p. 389 19. Chapter 18 Challenges for the optimum penetration of photovoltaic systems - p. 411 20. 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 - p. 427 21. Chapter 20 Maximum power point tracking design using particle swarm optimization algorithm for wind energy conversion system connected to the grid - p. 445 22. Chapter 21 Multiobjective optimization-based energy management system considering renewable energy, energy storage systems, and electric vehicles - p. 471 23. Chapter 22 Fuel cell parameters estimation using optimization techniques - p. 487 24. Chapter 23 Optimal allocation of distributed generation/shunt capacitor using hybrid analytical/metaheuristic techniques - p. 505 25. Chapter 24 Optimal appliance management system with renewable energy integration for smart homes - p. 533 26. Chapter 25 Solar cell parameter extraction using the Yellow Saddle Goatfish Algorithm - p. 553 27. Chapter 26 Reactive capability limits for wind turbine based on SCIG for optimal integration into the grid - p. 567 28. Chapter 27 Demand-side strategy management using PSO and BSA for optimal day-ahead load shifting in smart grid - p. 589 29. Chapter 28 Optimal power generation and power flow control using artificial intelligence techniques - p. 607 30. Chapter 29 Nature-inspired computational intelligence for optimal sizing of hybrid renewable energy system - p. 633 31. Chapter 30 Optimal design and techno-socio-economic analysis of hybrid renewable system for gird-connected system - p. 653 32. Chapter 31 Stand-alone hybrid system of solar photovoltaics/wind energy resources: an eco-friendly sustainable approach - p. 687 33. Index - p. 707
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.
1. 7.1: Introduction - p. 133 2. 7.2: Speed-reference optimization: power to optimal speed - p. 136 3. 7.3: Modeling of the association “permanent magnet synchronous generator–AC/DC/AC converter” - p. 137 4. 7.4: State-feedback nonlinear controller design - p. 139 5. 7.5: Output-feedback nonlinear controller design - p. 144 6. 7.6: Digital implementation - p. 152 7. 7.7: Conclusion - p. 157 8. References - p. 157 9. Chapter 8 Improvement of fuel cell MPPT performance with a fuzzy logic controller - p. 161 10. Chapter 9 Control strategies of wind energy conversion system-based doubly fed induction generator - p. 183 11. Chapter 10 Modeling of a high-performance three-phase voltage-source boost inverter with the implementation of closed-loop control - p. 211 12. Chapter 11 Advanced control of PMSG-based wind energy conversion system applying linear matrix inequality approach - p. 235 13. Chapter 12 Fractional-order controller design and implementation for maximum power point tracking in photovoltaic panels - p. 255 14. Chapter 13 Techno-economic modeling of stand-alone and hybrid renewable energy systems for thermal applications in isolated areas - p. 279 15. Chapter 14 Solar thermal system—an insight into parabolic trough solar collector and its modeling - p. 309 16. Chapter 15 Energy hub: modeling, control, and optimization - p. 339 17. Chapter 16 Simulation of solar-powered desiccant-assisted cooling in hot and humid climates - p. 363 18. Chapter 17 Recent optimal power flow algorithms - p. 389 19. Chapter 18 Challenges for the optimum penetration of photovoltaic systems - p. 411 20. 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 - p. 427 21. Chapter 20 Maximum power point tracking design using particle swarm optimization algorithm for wind energy conversion system connected to the grid - p. 445 22. Chapter 21 Multiobjective optimization-based energy management system considering renewable energy, energy storage systems, and electric vehicles - p. 471 23. Chapter 22 Fuel cell parameters estimation using optimization techniques - p. 487 24. Chapter 23 Optimal allocation of distributed generation/shunt capacitor using hybrid analytical/metaheuristic techniques - p. 505 25. Chapter 24 Optimal appliance management system with renewable energy integration for smart homes - p. 533 26. Chapter 25 Solar cell parameter extraction using the Yellow Saddle Goatfish Algorithm - p. 553 27. Chapter 26 Reactive capability limits for wind turbine based on SCIG for optimal integration into the grid - p. 567 28. Chapter 27 Demand-side strategy management using PSO and BSA for optimal day-ahead load shifting in smart grid - p. 589 29. Chapter 28 Optimal power generation and power flow control using artificial intelligence techniques - p. 607 30. Chapter 29 Nature-inspired computational intelligence for optimal sizing of hybrid renewable energy system - p. 633 31. Chapter 30 Optimal design and techno-socio-economic analysis of hybrid renewable system for gird-connected system - p. 653 32. Chapter 31 Stand-alone hybrid system of solar photovoltaics/wind energy resources: an eco-friendly sustainable approach - p. 687 33. Index - p. 707
