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J. Radosavljević - Metaheuristic Optimization in Power Engineering. Volume 1

J. Radosavljević - Metaheuristic Optimization in Power Engineering. Volume 2

B. Badrzadeh - Power System Dynamic Modelling and Analysis in Evolving Networks

P. Schavemaker - Electrical Power System Essentials

A. von Meier - Electric Power Systems: A Conceptual Introduction

G. Rogers - Power System Oscillations

G. Rigatos - Intelligent Control for Electric Power Systems and Electric Vehicles

R. Castro - Engineering of Power Systems Economics

M. Rahmani-Andebili - Power System Analysis: Comprehensive Lessons

M.G. Simões - Power Electronic Converters and Systems: Converters and machine drives


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R. Bansal - Electric Power Systems Resiliency

Electric Power Systems Resiliency Modelling, Opportunity and Challenges 1st Edition
Editors: Ramesh Bansal, Mishra Manohar, Yog Raj Sood

No. of pages: 300
Language: English
Published: July 14, 2022
Imprint: Academic Press
Paperback ISBN: 9780323855365



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).

Key Features
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

About the Editors

Prof. Ramesh Bansal has more than 25 years of diversified experience of research, teaching and learning, accreditation, industrial, and academic leadership in several countries. Currently he is a Professor in the Department of Electrical Engineering at University of Sharjah and extraordinary Professor at University of Pretoria, South Africa. Previously he was employed by University of Pretoria, University of Queensland, Australia; University of the South Pacific, Fiji; and BITS Pilani, India. He has published over 350 journal articles, conferences papers, books, and books chapters.

Dr. Manohar Mishra is an Associate Professor in the Department of Electronics & Electrical Engineering Department, under the Faculty of Engineering & Technology, Siksha “O” Anusandhan University, Bhubaneswar. He received his Ph.D. in Electrical Engineering, M.Tech. in Power Electronics and Drives and B.Tech. in Electrical engineering in 2017, 2012 and 2008, respectively. He has published more than 50 research papers in various reputed peer reviewed International Journals, Conferences. He has edited 3 research Books.

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.

Table of Contents

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

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