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Muestra
Ficha Técnica
Descripción

Economic Dispatch and Generation Scheduling in Operation of Modern Power Systems: Optimization Techniques and Real-World Applications is a comprehensive resource, bridging the gap between traditional power generation methodologies and advanced optimization techniques. Chapters review foundational principles of economic dispatch and generation scheduling, then demonstrate mathematical models, optimization techniques, and the impact of renewable energy integration. The role of cutting-edge methods such as Artificial Intelligence and machine learning in dispatch, energy storage systems and electric vehicles, and advancements in smart grid technologies are also examined.

The book examines the rapid evolution of power systems, emphasizing the need for innovative approaches to address the complexities of energy supply and demand.
Case studies and real-world applications are included to provide readers with insights into practical implementations and contemporary challenges in the field. This is a valuable resource for professionals, students, and researchers in energy, enhancing understanding of how to optimize energy, reduce operational costs, and improve reliability in an evolving landscape.

  • Presents solutions for optimizing the dispatch of distributed energy resources (DERs) using machine learning, artificial intelligence, and real-time control systems
  • Explains complicated mathematical models and optimization approaches and algorithms for enhanced forecasting, scheduling, and dispatch that account for variations in renewable energy supply
  • Demonstrates the use of optimization techniques through case studies, simulations, and practical applications

1. Chapter 1. Introduction to economic dispatch, security-constrained economic dispatch, and generation scheduling - p. 1 2. Chapter 2. Mathematical formulation of economic dispatch and generation scheduling - p. 21 3. Chapter 3. Optimization techniques for economic dispatch, security-constrained economic dispatch, and generation scheduling - p. 45 4. Chapter 4. Economic dispatch and security-constrained economic dispatch with renewable energy integration - p. 69 5. Chapter 5. Energy storage systems in economic dispatch and security-constrained economic dispatch - p. 99 6. Chapter 6. Electric vehicles in economic dispatch and power system optimization - p. 129 7. Chapter 7. Smart grids, distributed energy resources, and microgrids in economic dispatch - p. 163 8. Chapter 8. Case studies and real world applications of economic dispatch, security constrained economic dispatch, and generation scheduling - p. 195 9. Chapter 9. Challenges in economic dispatch, security-constrained economic dispatch, and generation scheduling in modern power systems - p. 229 10. Chapter 10. Future trends in economic dispatch, security-constrained economic dispatch, and power system optimization - p. 249 11. Index - p. 273

Descripcion
Descripción

Economic Dispatch and Generation Scheduling in Operation of Modern Power Systems: Optimization Techniques and Real-World Applications is a comprehensive resource, bridging the gap between traditional power generation methodologies and advanced optimization techniques. Chapters review foundational principles of economic dispatch and generation scheduling, then demonstrate mathematical models, optimization techniques, and the impact of renewable energy integration. The role of cutting-edge methods such as Artificial Intelligence and machine learning in dispatch, energy storage systems and electric vehicles, and advancements in smart grid technologies are also examined.

The book examines the rapid evolution of power systems, emphasizing the need for innovative approaches to address the complexities of energy supply and demand.
Case studies and real-world applications are included to provide readers with insights into practical implementations and contemporary challenges in the field. This is a valuable resource for professionals, students, and researchers in energy, enhancing understanding of how to optimize energy, reduce operational costs, and improve reliability in an evolving landscape.

  • Presents solutions for optimizing the dispatch of distributed energy resources (DERs) using machine learning, artificial intelligence, and real-time control systems
  • Explains complicated mathematical models and optimization approaches and algorithms for enhanced forecasting, scheduling, and dispatch that account for variations in renewable energy supply
  • Demonstrates the use of optimization techniques through case studies, simulations, and practical applications

1. Chapter 1. Introduction to economic dispatch, security-constrained economic dispatch, and generation scheduling - p. 1 2. Chapter 2. Mathematical formulation of economic dispatch and generation scheduling - p. 21 3. Chapter 3. Optimization techniques for economic dispatch, security-constrained economic dispatch, and generation scheduling - p. 45 4. Chapter 4. Economic dispatch and security-constrained economic dispatch with renewable energy integration - p. 69 5. Chapter 5. Energy storage systems in economic dispatch and security-constrained economic dispatch - p. 99 6. Chapter 6. Electric vehicles in economic dispatch and power system optimization - p. 129 7. Chapter 7. Smart grids, distributed energy resources, and microgrids in economic dispatch - p. 163 8. Chapter 8. Case studies and real world applications of economic dispatch, security constrained economic dispatch, and generation scheduling - p. 195 9. Chapter 9. Challenges in economic dispatch, security-constrained economic dispatch, and generation scheduling in modern power systems - p. 229 10. Chapter 10. Future trends in economic dispatch, security-constrained economic dispatch, and power system optimization - p. 249 11. Index - p. 273

Indice
Autores
Muestra
Ficha Técnica