
Electric Power Systems Resiliency
Modelling, Opportunity and Challenges
- 1st Edition - July 14, 2022
- Imprint: Academic Press
- Editors: Ramesh C. Bansal, Manohar Mishra, Yog Raj Sood
- Language: English
- Paperback ISBN:9 7 8 - 0 - 3 2 3 - 8 5 5 3 6 - 5
- eBook ISBN:9 7 8 - 0 - 3 2 3 - 9 0 0 6 9 - 0
Electric Power Systems Resiliency: Modelling, Opportunity and Challenges considers current strengths and weaknesses of various applications and provides engineers with different… Read more

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Request a sales quoteElectric 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
- Cover
- Title page
- Table of Contents
- Copyright
- Contributors
- Editors' biographies
- Authors' biographies
- Foreword
- Preface
- Chapter One: Overview and architecture of resilient energy systems
- Abstract
- 1: Introduction
- 2: Understanding the causes of outages
- 3: Why resiliency?
- 4: Resiliency versus reliability of electrical power systems
- 5: Matrices for measurement of resiliency and reliability
- 6: Means of improving resiliency
- 7: Conclusion
- References
- Chapter Two: Resilient smart-grid system: Issues and challenges
- Abstract
- 1: Introduction
- 2: Resilient smart-grid system
- 3: Smart-grid resiliency enhancement
- 4: Conclusion
- References
- Chapter Three: Remedial action scheme to improve resiliency under failures in the Central American power grid
- Abstract
- 1: Introduction
- 2: Central American power grid
- 3: Operating premises and flowchart of the RAS
- 4: Simulation
- 5: Conclusions
- References
- Chapter Four: Protective relay resiliency in an electric power transmission system
- Abstract
- 1: Introduction
- 2: Benchmark of overcurrent coordination
- 3: Enhanced DOCR coordination
- 4: On-line coordination system
- 5: Improve the resilience of the protection scheme in electrical systems
- 6: Conclusion
- Appendix
- References
- Chapter Five: Smart grid stability prediction using genetic algorithm-based extreme learning machine
- Abstract
- 1: Introduction
- 2: Literature survey
- 3: GA-based extreme learning machine (ELM)
- 4: Results and discussion
- 5: Conclusion
- References
- Chapter Six: Enhancing relay resiliency in an active distribution network using latest data-driven protection schemes
- Abstract
- 1: Introduction
- 2: Microgrid protection challenges
- 3: Protection techniques
- 4: Comparative analysis of data-driven protection schemes
- 5: Conclusions
- References
- Chapter Seven: Microgrids as a resilience resource in the electric distribution grid
- Abstract
- 1: Introduction
- 2: Key resources offered by microgrid within distribution system
- 3: Assessment of distribution system resilience with microgrid
- 4: Strategies for enabling distribution system resiliency with microgrids
- 5: Barriers and challenges
- 6: Summary
- References
- Chapter Eight: Internet of things and fog computing application to improve the smart-grid resiliency
- Abstract
- 1: Introduction
- 2: Internet of things in smart-grid resiliency
- 3: Fog computing in smart-grid resiliency
- 4: Integration of IoT and fog computing in smart grid
- 5: General discussion and futures directions
- 6: Conclusion and futures directions
- References
- Chapter Nine: Load forecasting using ANN and their uncertainty effect on power system reliability
- Abstract
- 1: Introduction
- 2: Purpose of load forecasting and classification
- 3: Relative ranking of input data by analyzing performance index
- 4: ANN-based load forecasting techniques
- 5: LEVENBERG-MARQUARDT solution methodology
- 6: Effect of load forecast uncertainties on reliability of power system
- 7: Result and discussion
- 8: Conclusion
- References
- Chapter Ten: Cost-benefit analysis for smart grid resiliency
- Abstract
- 1: Introduction
- 2: Elements of resilience framework
- 3: Cost-benefit analysis tool
- 4: Cost-benefit analysis approach
- 5: Cost-benefit analysis: Advantages
- 6: Why we are using resiliency in a project?
- 7: Economic analysis of a photovoltaic system
- 8: Conclusion
- References
- Index
- Edition: 1
- Published: July 14, 2022
- No. of pages (Paperback): 300
- No. of pages (eBook): 300
- Imprint: Academic Press
- Language: English
- Paperback ISBN: 9780323855365
- eBook ISBN: 9780323900690
RB
Ramesh C. Bansal
MM
Manohar Mishra
YR