Renewable Energy Systems

Modelling, Optimization and Control

Ahmad Taher Azar, Nashwa Ahmad Kamal

• Publisher: Academic Press
• Year: 2021
• Print ISBN: 9780128200049
• eBook ISBN: 9780128203989
• Topic: Technology & Engineering
• Subtopic: Data Visualisation
• Index: Technology & Engineering

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

• Renewable Energy Systems
• Chapter 1 Efficiency maximization of wind turbines using data-driven Model-Free Adaptive Control
• 1.1: Introduction
• Chapter 2 Advanced control design based on sliding modes technique for power extraction maximization in variable speed wind turbine** Fully documented templates are available in the elsarticle package on CTAN.
• 2.1: Introduction
• Chapter 3 Generic modeling and control of wind turbines following IEC 61400-27-1
• 3.1: Introduction
• Chapter 4 Development of a nonlinear backstepping approach of grid-connected permanent magnet synchronous generator wind farm structure
• 4.1: Introduction
• Chapter 5 Model predictive control-based energy management strategy for grid-connected residential photovoltaic–wind–battery system
• 5.1: Introduction
• Chapter 6 Efficient maximum power point tracking in fuel cell using the fractional-order PID controller
• 6.1: Introduction
• Chapter 7 Robust adaptive nonlinear controller of wind energy conversion system based on permanent magnet synchronous generator
• 7.1: Introduction
• 7.5: Output-feedback nonlinear controller design
• 7.5.1: Permanent magnet synchronous generator model in αβ-coordinates
• Chapter 8 Improvement of fuel cell MPPT performance with a fuzzy logic controller
• 8.1: Introduction
• Chapter 9 Control strategies of wind energy conversion system-based doubly fed induction generator
• 9.1: Introduction
• Chapter 10 Modeling of a high-performance three-phase voltage-source boost inverter with the implementation of closed-loop control
• 10.1: Introduction
• Chapter 11 Advanced control of PMSG-based wind energy conversion system applying linear matrix inequality approach
• 11.1: Introduction
• Chapter 12 Fractional-order controller design and implementation for maximum power point tracking in photovoltaic panels
• 12.1: Introduction
• Chapter 13 Techno-economic modeling of stand-alone and hybrid renewable energy systems for thermal applications in isolated areas
• 13.1: Introduction
• Chapter 14 Solar thermal system—an insight into parabolic trough solar collector and its modeling
• 14.1: Introduction
• Chapter 15 Energy hub: modeling, control, and optimization
• 15.1: Introduction
• Chapter 16 Simulation of solar-powered desiccant-assisted cooling in hot and humid climates
• 16.1: Introduction
• Chapter 17 Recent optimal power flow algorithms
• 17.1: Introduction
• Chapter 18 Challenges for the optimum penetration of photovoltaic systems
• Nomenclature
• 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
• 19.1: Introduction
• Chapter 20 Maximum power point tracking design using particle swarm optimization algorithm for wind energy conversion system connected to the grid
• 20.1: Introduction
• Chapter 21 Multiobjective optimization-based energy management system considering renewable energy, energy storage systems, and electric vehicles
• 21.1: Introduction
• Chapter 22 Fuel cell parameters estimation using optimization techniques
• 22.1: Introduction
• Chapter 23 Optimal allocation of distributed generation/shunt capacitor using hybrid analytical/metaheuristic techniques
• 23.1: Introduction
• Chapter 24 Optimal appliance management system with renewable energy integration for smart homes
• 24.1: Introduction
• Chapter 25 Solar cell parameter extraction using the Yellow Saddle Goatfish Algorithm
• 25.1: Introduction
• Chapter 26 Reactive capability limits for wind turbine based on SCIG for optimal integration into the grid
• 26.1: Introduction
• Chapter 27 Demand-side strategy management using PSO and BSA for optimal day-ahead load shifting in smart grid
• 27.1: Introduction
• Chapter 28 Optimal power generation and power flow control using artificial intelligence techniques
• 28.1: Introduction
• Chapter 29 Nature-inspired computational intelligence for optimal sizing of hybrid renewable energy system
• 29.1: Introduction
• Chapter 30 Optimal design and techno-socio-economic analysis of hybrid renewable system for gird-connected system
• 30.1: Introduction
• Chapter 31 Stand-alone hybrid system of solar photovoltaics/wind energy resources: an eco-friendly sustainable approach
• 31.1: Introduction
• Index