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Descripción

Electric Power Systems Resiliency: Modelling, Opportunity and Challenges considers current strengths and weaknesses of various applications and provides engineers with different dimensions of flexible applications to illustrate their use in the solution of power system improvement. Detailing advanced methodologies to improve resiliency and describing resilient-oriented power system protection and control techniques, this reference offers a deep study on the electrical power system through the lens of resiliency that ultimately provides a flexible framework for cost-benefit analysis to improve power system durability.

Aimed at researchers exploring the significance of smart monitoring, protecting and controlling of power systems, this book is useful for those working in the domain of power system control and protection (PSOP).

  • Features advanced methodologies for improving electrical power system resiliency for different architectures, e.g., smart grid, microgrid and macro grid
  • Discusses resiliency in power generation, transmission and distribution comprehensively throughout
  • Includes case studies that illustrate the applications of resilience in power systems

1. Title of Book - p. i 2. Cover image - p. i 3. Title page - p. ii 4. Table of Contents - p. iii 5. Copyright - p. iii 6. Contributors - p. ix 7. Editors’ biographies - p. xi 8. Authors’ biographies - p. xv 9. Foreword - p. xxvii 10. Preface - p. xxix 11. Chapter One. Overview and architecture of resilient energy systems - p. 3 12. Chapter Two. Resilient smart-grid system: Issues and challenges - p. 28 13. Chapter Three. Remedial action scheme to improve resiliency under failures in the Central American power grid - p. 71 14. Chapter Four. Protective relay resiliency in an electric power transmission system - p. 87 15. Chapter Five. Smart grid stability prediction using genetic algorithm-based extreme learning machine - p. 149 16. Chapter Six. Enhancing relay resiliency in an active distribution network using latest data-driven protection schemes - p. 165 17. Chapter Seven. Microgrids as a resilience resource in the electric distribution grid - p. 181 18. Chapter Eight. Internet of things and fog computing application to improve the smart-grid resiliency - p. 213 19. Chapter Nine. Load forecasting using ANN and their uncertainty effect on power system reliability - p. 231 20. Chapter Ten. Cost-benefit analysis for smart grid resiliency - p. 245 21. Index - p. 261

Descripcion
Descripción

Electric Power Systems Resiliency: Modelling, Opportunity and Challenges considers current strengths and weaknesses of various applications and provides engineers with different dimensions of flexible applications to illustrate their use in the solution of power system improvement. Detailing advanced methodologies to improve resiliency and describing resilient-oriented power system protection and control techniques, this reference offers a deep study on the electrical power system through the lens of resiliency that ultimately provides a flexible framework for cost-benefit analysis to improve power system durability.

Aimed at researchers exploring the significance of smart monitoring, protecting and controlling of power systems, this book is useful for those working in the domain of power system control and protection (PSOP).

  • Features advanced methodologies for improving electrical power system resiliency for different architectures, e.g., smart grid, microgrid and macro grid
  • Discusses resiliency in power generation, transmission and distribution comprehensively throughout
  • Includes case studies that illustrate the applications of resilience in power systems

1. Title of Book - p. i 2. Cover image - p. i 3. Title page - p. ii 4. Table of Contents - p. iii 5. Copyright - p. iii 6. Contributors - p. ix 7. Editors’ biographies - p. xi 8. Authors’ biographies - p. xv 9. Foreword - p. xxvii 10. Preface - p. xxix 11. Chapter One. Overview and architecture of resilient energy systems - p. 3 12. Chapter Two. Resilient smart-grid system: Issues and challenges - p. 28 13. Chapter Three. Remedial action scheme to improve resiliency under failures in the Central American power grid - p. 71 14. Chapter Four. Protective relay resiliency in an electric power transmission system - p. 87 15. Chapter Five. Smart grid stability prediction using genetic algorithm-based extreme learning machine - p. 149 16. Chapter Six. Enhancing relay resiliency in an active distribution network using latest data-driven protection schemes - p. 165 17. Chapter Seven. Microgrids as a resilience resource in the electric distribution grid - p. 181 18. Chapter Eight. Internet of things and fog computing application to improve the smart-grid resiliency - p. 213 19. Chapter Nine. Load forecasting using ANN and their uncertainty effect on power system reliability - p. 231 20. Chapter Ten. Cost-benefit analysis for smart grid resiliency - p. 245 21. Index - p. 261

Indice
Autores
Muestra
Ficha Técnica