Future Modern Distribution Networks Resilience
From Passive Operation to Strategic Active Paradigms
- 1st Edition - February 23, 2024
- Imprint: Elsevier
- Editors: Seyed Mohammad Taghi Gharibzahedi, Kamran Jalilpoor, Sasan Azad, Mohammadreza Daneshvar, Mohammad Sadegh Sepasian, Behnam Mohammadi-Ivatloo, Miadreza Shafie-khah
- Language: English
- Paperback ISBN:9 7 8 - 0 - 4 4 3 - 1 6 0 8 6 - 8
- eBook ISBN:9 7 8 - 0 - 4 4 3 - 1 6 0 8 7 - 5
Future Modern Distribution Networks Resilience: From Passive Operation to Strategic Active Paradigms examines the combined impact of low-probability and high-impact events on… Read more
Purchase options
Institutional subscription on ScienceDirect
Request a sales quoteFuture Modern Distribution Networks Resilience: From Passive Operation to Strategic Active Paradigms examines the combined impact of low-probability and high-impact events on modern distribution systems’ resilience. Using practical guidance, the book provides comprehensive approaches for improving energy systems’ resilience by utilizing infrastructure and operational strategies. Divided into three parts, Part One provides a conceptual introduction and review of power system resilience, including topics such as risk and vulnerability assessment in power systems, resilience metrics, and power systems operation and planning. Part Two discusses modelling of vulnerability and resilience evaluation indices and cost-benefit analysis.
Part Three reviews infrastructure and operational strategies to improve power system resilience, including robust grid hardening strategies, mobile energy storage and electric vehicles, and networked microgrids and renewable energy resources. With a strong focus on economic results and cost-effectives, this book is a practical reference for students, researchers, and engineers interested in power engineering, energy systems, and renewable energy.
- Reviews related concepts to active distribution systems resilience before, during, and after a sudden disaster
- Presents analysis of risk and vulnerability for reliable evaluation, sustainable operation, and accurate planning of energy grids against low-probability and high-impact events
- Highlights applications of practical metrics for resilience assessment of future energy networks
- Provides guidance for the development of cost-effective resilient techniques for reducing the vulnerability of electrical grids to severe disasters
Graduate students, researchers and engineers interested in energy systems, power engineering, and renewable energy
Part 1: A conceptual introduction and review of power system resilience
1. Introduction and literature review of resilience concept in power systems
2. Resiliency challenges and opportunities in transiting from traditional networks to future modern energy grids
3. Risk and vulnerability assessment in power systems: A comprehensive review of challenges and outlook
4. A literature review of resilience metrics in power systems and their differences with reliability indices
5. A survey on the role of coordinating electricity and gas distribution systems for enhancing the power grid resilience
6. Power systems operation and planning: a literature review on smart resilience enhancement strategies
Part 2: Modelling of vulnerability and resilience evaluation indices and cost-benefit analysis
7. Modelling of natural phenomena and extreme events in the study of power systems resilience
8. Vulnerability and risk modelling methods: A comprehensive framework from the resilience perspective
9. Resilience metrics: Assessment of distribution systems performance
10. Decision-making approach for power system resilience upgrades based on cost-benefit analysis
11. Cyber-constrained optimal power flow model for resilience enhancement of modern energy networks
Part 3: Infrastructure and operational strategies to improve power system resilience
12. Robust grid hardening strategies for improving the resilience of electricity systems
13. Resiliency-oriented sustainable models for future renewable-based power systems
14. Improving power system resilience with mobile energy storage and electric vehicles
15. Resilient energy management: networked microgrids and renewable energy resource
16. Application of recovery techniques to enhance the resilience of energy systems
17. The role of machine learning in improving distribution systems resilience
18. Future perspectives and research areas for improving the power system resilience
1. Introduction and literature review of resilience concept in power systems
2. Resiliency challenges and opportunities in transiting from traditional networks to future modern energy grids
3. Risk and vulnerability assessment in power systems: A comprehensive review of challenges and outlook
4. A literature review of resilience metrics in power systems and their differences with reliability indices
5. A survey on the role of coordinating electricity and gas distribution systems for enhancing the power grid resilience
6. Power systems operation and planning: a literature review on smart resilience enhancement strategies
Part 2: Modelling of vulnerability and resilience evaluation indices and cost-benefit analysis
7. Modelling of natural phenomena and extreme events in the study of power systems resilience
8. Vulnerability and risk modelling methods: A comprehensive framework from the resilience perspective
9. Resilience metrics: Assessment of distribution systems performance
10. Decision-making approach for power system resilience upgrades based on cost-benefit analysis
11. Cyber-constrained optimal power flow model for resilience enhancement of modern energy networks
Part 3: Infrastructure and operational strategies to improve power system resilience
12. Robust grid hardening strategies for improving the resilience of electricity systems
13. Resiliency-oriented sustainable models for future renewable-based power systems
14. Improving power system resilience with mobile energy storage and electric vehicles
15. Resilient energy management: networked microgrids and renewable energy resource
16. Application of recovery techniques to enhance the resilience of energy systems
17. The role of machine learning in improving distribution systems resilience
18. Future perspectives and research areas for improving the power system resilience
- Edition: 1
- Published: February 23, 2024
- No. of pages (Paperback): 434
- Imprint: Elsevier
- Language: English
- Paperback ISBN: 9780443160868
- eBook ISBN: 9780443160875
SG
Seyed Mohammad Taghi Gharibzahedi
Dr. Gharibzahedi holds a Ph.D. in Food Biotechnology from the University of Tehran. With over 20 years of experience, his research focuses on nonthermal processing technologies, food chemistry, emulsion-based delivery systems, encapsulation of substances in edible matrices, functional foods, enzyme technology, food industry by-product utilization, and the extraction and purification of biomacromolecules, particularly polysaccharides. He has authored over 120 peer-reviewed publications, 7 book chapters, and 67 conference presentations, with over 6,072 citations and an h-index of 46. Dr. Gharibzahedi has collaborated with more than 100 scientists from leading global institutions and contributed to numerous high-impact projects. He has received multiple prestigious awards, including the Georg Forster Research Fellowship (Alexander von Humboldt Foundation, Germany). He has been ranked in the Stanford University list of the world's top 2% of scientists from 2020 to 2024. Also, he is a well-established reviewer and an associate editor for several high-ranking journals.
Affiliations and expertise
Christian-Albrechts, Kiel University, Keil, GermanyKJ
Kamran Jalilpoor
Kamran Jalilpoor received the M.S. degree in Electrical Engineering from the Shahid Beheshti University (SBU), Tehran, Iran, in 2018. He is currently working as a senior research assistant in the Department of Electrical Engineering, SBU. He is the author of several top journal and conference papers in the field of distribution system resilience. His research interest is oriented to different aspects of power systems resilience, including catastrophe risk modeling, damage assessment, disaster response and recovery and optimization methods.
Affiliations and expertise
Department of Electrical Engineering, Shahid Beheshti University, Tehran, IranSA
Sasan Azad
Sasan Azad is a Ph.D candidate in the Faculty of Electrical Engineering and a researcher at the Electrical Networks Institute at Shahid Beheshti University, Iran. His main areas of interest are the security and voltage stability of power systems, smart grids, and electric vehicles.
Affiliations and expertise
PhD Candidate, Department of Electrical Engineering & Electrical Network Research Institute, Shahid Beheshti University, IranMD
Mohammadreza Daneshvar
Mohammadreza Daneshvar is a Research Associate with the Smart Energy Systems Lab in the Department of Electrical and Computer Engineering at the University of Tabriz. He is the editor of more than 40 journal and conference papers in the field of multi-energy systems, grid modernization, transactive energy, and optimizing the multi-carrier energy grids. He is the author and editor of three books with Springer, Elsevier, and Wiley-IEEE. He serves as an active reviewer with IEEE, Elsevier, Springer, Wiley, Taylor & Francis, and IOS Press, and was ranked among the top 1% of reviewers in Engineering and Cross-Field based on Publons global reviewer database. His research interests include smart grids, transactive energy, energy management, renewable energy sources, multi-carrier energy systems, grid modernization, electrical energy storage systems, microgrids, energy hubs, machine learning and deep learning, blockchain technology, and optimization techniques.
Affiliations and expertise
Research Assistant, Smart Energy Systems Lab in Electrical Power Systems Engineering at the University of Tabriz, IranMS
Mohammad Sadegh Sepasian
Mohammad Sadegh Sepasian was born in Tehran, Iran, in 1967. He received the B.Sc. degree from Tabriz University (Iran) in 1990 and the M.Sc. and Ph.D. degrees from Tehran University and Tarbiat Modares University (Iran) in 1993 and 1999, respectively. Since 1994, he has been with Abbaspour Technical and Engineering Department, Shahid Beheshti University in Tehran, Iran where he is currently an associate professor. During this period, he has had supervising more than 31 MSc and 7 PhD students while at the same time, he has had several important responsibilities such as Vice-Chancellor in Education of electrical department and Head of Faculty of Electrical Engineering of the University. He also acted as the Senior Researcher for the Iran Power System Engineering Research Center (IPSERC), affiliated to Tarbiat modares University. He managed several national projects for the Iranian power grid. His research interests are distribution networks, power system planning, electric vehicles, and smart grids.
Affiliations and expertise
Department of Electrical Engineering, Shahid Beheshti University, Tehran, Iran.BM
Behnam Mohammadi-Ivatloo
Behnam Mohammadi-Ivatloo, Ph.D., is a Professor with the Faculty of Electrical and Computer Engineering, University of Tabriz, Tabriz, Iran. He was previously a Senior Research Fellow at Aalborg University, Denmark. Before joining the University of Tabriz, he was a research associate at the Institute for Sustainable Energy, Environment and Economy at the University of Calgary. He obtained MSc and Ph.D. degrees in electrical engineering from the Sharif University of Technology. His main research interests are renewable energies, microgrid systems, and smart grids. He has authored and co-authored more than 200 technical publications in his domain of interest, more than 30 book chapters, and 10 books.
Affiliations and expertise
Department of Electrical and Computer Engineering, University of Tabriz, Tabriz, IranMS
Miadreza Shafie-khah
Miadreza Shafie-khah is a full professor and Scientific Director of the Energy Business eMBA at the University of Vaasa, Finland, and a visiting professor at the Royal Melbourne Institute of Technology, Australia. He is the editor-in-chief or associate editor of several prestigious journals including the IEEE Transactions on Sustainable Energy and the IEEE Transactions on Intelligent Transportation Systems. His main research interest is in demand response, decentralized electricity markets, and electric vehicles.
Affiliations and expertise
Professor & Scientific Director, Energy Business eMBA, University of Vaasa, FinlandRead Future Modern Distribution Networks Resilience on ScienceDirect