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Electric Power Systems Resiliency

Modelling, Opportunity and Challenges

1st Edition - July 14, 2022

Editors: Ramesh C. Bansal, Mishra Manohar, Yog Raj Sood

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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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).

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

Ramesh C. Bansal

Ramesh C. Bansal is a Professor at University of Sharjah and Extraordinary Professor at University of Pretoria. He has over 25 years of teaching and research experience, and previously worked at University of Pretoria, University of Queensland, University of South Pacific, and BITS, Pilani. He has published over 400 journal/conf. papers, books/book chapters, and is he AE/Editor of many reputed journals. He has Google citations of over 16000 and h-index of 60. He has supervised 25 PhD, 5 Post Docs. He is a Fellow of IET-UK, IE (India), SAIEE (South Africa).

Affiliations and expertise

Professor at the University of Sharjah and Extraordinary Professor at the University of Pretoria.

Mishra Manohar

Manohar Mishra is an Associate Professor in the Department of Electronics and Electrical Engineering, Faculty of Engineering and Technology, Siksha ‘O’ Anusandhan Deemed to be University, Bhubaneswar, Odisha, India. He received his PhD in Electrical Engineering, MTech in Power Electronics and Drives, and BTech in Electrical Engineering in 2017, 2012, and 2008, respectively. He has published more than 50 research papers in various peer-reviewed international journals and conferences. He has edited three research books, and has served as a reviewer for journal publishers such as the Institute of Electrical and Electronics Engineers (IEEE), Springer, Elsevier, and Inderscience. At present, he has more than 10 years of teaching experience in the field of electrical engineering. He is a senior member of the IEEE, and is currently guiding four PhD scholars. His areas of interest include power system analysis, power system protection, signal processing, power quality, distribution generation systems, and micro-grids. He has served as Convener and Volume Editor of the International Conference on Innovation in Electrical Power Engineering, Communication and Computing Technology (IEPCCT-2019, IEPCCT-2021) and the International Conference on Green Technology for Smart City and Society (GTSCS-2020). Currently, he is serving as Guest Editor for different journals such as International Journal of Power Electronics (Inderscience), International Journal of Innovative Computing and Application (Inderscience), and Neural Computing and Application (Springer).

Affiliations and expertise

Department of Electrical and Electronics Engineering, FET, Siksha O Anusandhan University, Bhubaneswar, India

Yog Raj Sood

Prof. Yog Raj Sood is currently working as Vice-Chancellor, Jaypee Institute of Information Technology, Noida. He has authored and co-authored several national and international publications and also working as a reviewer for reputed professional journals. He is having an active association with different societies and academies around the world. He has received several awards for the contributions to the scientific community. He has successfully completed three MHRD research projects and one mega projects under TIFAC- CORE of Rs. 53 million. Ten research scholars have already completed Ph.D. under his guidance. He is a Senior member of IEEE, life member of Indian Society for Technical Education (ISTE), fellow of Institution of Engineers (India), and member of many other technical societies. His major research interests involve Deregulated Power Sector, Congestion Management, and Microgrid

Affiliations and expertise

Vice-Chancellor, Jaypee Institute of Information Technology, Noida.