Future Modern Distribution Networks Resilience

From Passive Operation to Strategic Active Paradigms

1st Edition - February 23, 2024
Editors: Mohammad Taghi Ameli, 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

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Future 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.

Cover image
Title page
Table of Contents
Copyright
Contributors
About the editors
Chapter 1. Introduction and literature review of resilience concept in power systems
1.1. Introduction
1.2. Resilience in power systems and its importance
1.3. Understanding resilience
1.4. Resilience curve
1.5. Resilience measures
1.6. Taxonomy of strategies employed for enhancement of power systems' resilience
1.7. Conclusion
Chapter 2. Risk and vulnerability assessment in power systems: A comprehensive review of challenges and outlook
2.1. Introduction
2.2. Events causing vulnerability
2.3. Conceptual framework for vulnerability assessment
2.4. Time framework for vulnerability assessment
2.5. Security/vulnerability boundary
2.6. Vulnerability/risk indices
2.7. Contribution of protection system in system vulnerability
2.8. Cyber vulnerability
2.9. Approaches for evaluating vulnerability/security
2.10. Remedial actions mitigating vulnerability
2.11. Conclusions
Chapter 3. Resilience vs. reliability metrics in power systems: A conceptual overview
3.1. Introduction
3.2. On the concept of metrics
3.3. Resilience vs. reliability metrics: A comparison
3.4. Classification of power system resilience metrics
3.5. Conclusions
Chapter 4. A survey on the role of integrated electricity and gas systems for enhancing the resilience
4.1. Introduction
4.2. Concept of resilience in the IES
4.3. Conclusions
Chapter 5. Distribution systems operation and planning: A literature review on smart resilience enhancement strategies
5.1. Introduction
5.2. Distribution resilience enhancement strategies
5.3. Microgrid and DG in the context of resilience enhancement
5.4. Using advanced technologies in resilience enhancement
5.5. Future research challenges and gaps
5.6. Conclusion
Chapter 6. Resilience metrics: Assessment of distribution systems performance
6.1. Introduction
6.2. Resilience metrics
6.3. Attributes of resilience metrics
6.4. Assessment of distribution systems performance
6.5. Comparing resilience metrics
6.6. Example
6.7. Conclusion
Chapter 7. Assessing the economic viability of resilience upgrades in power systems: A cost–benefit analysis approach
7.1. Introduction
7.2. CBA definition and its application in resilience contexts
7.3. Decision-making strategies based on CBA
7.4. The limitation of CBA in resilience research
7.5. Conclusion
Nomenclature
Chapter 8. Application of recovery techniques to enhance the resilience of power systems
8.1. Introduction
8.2. A brief review of resilience concepts
8.3. Recovery techniques
8.4. Infrastructure recovery
8.5. Conclusion
Chapter 9. Optimizing the resilient operation of microgrids against natural phenomena and extreme events
9.1. Introduction
9.2. Resilient measures
9.3. Methodology, case study, and simulation results
9.4. Conclusion
Chapter 10. Resilience improvement of distribution systems against hurricanes through optimal line hardening
10.1. Introduction
10.2. Resilience concept
10.3. Resilience improvement measures
10.4. Power system hardening
10.5. Modeling of distribution system optimal line hardening
10.6. Case study information
10.7. Simulation results
10.8. Conclusion
Abbreviations
Chapter 11. Improving power system resilience with mobile energy storage and electric vehicles
11.1. Introduction
11.2. Background
11.3. Role of MESSs as a resilience resource
11.4. Resilience enhancement schemes for PEVs
11.5. Mathematical formulation of MESSs in the optimization problem
11.6. Issues and challenges of resilient PEVs
11.7. Conclusion
Chapter 12. Resilient energy management of networked microgrids and renewable energy resource
12.1. Introduction
12.2. Mathematical formulation
12.3. Linearization via piecewise linearization approach
12.4. Uncertainty modeling including outages
12.5. Simulation and results
12.6. Conclusions
Nomenclature and abbreviations
Chapter 13. Optimal mobile-DG-aided restoration scheduling to enhance resilience in power distribution systems
13.1. Introduction
13.2. Mathematical modeling
13.3. Numerical results
13.4. Conclusion
Nomenclature
Chapter 14. The role of machine learning in improving power distribution systems resilience
14.1. Introduction
14.2. Related literature on different ML models for distribution systems resilience
14.3. Applications of ML techniques in improving distribution systems resilience
14.4. Challenges of ML techniques in power distribution resilience
14.5. Future ML research directions for power distribution resilience
14.6. Conclusion
Chapter 15. Resilience enhancement of distribution networks by optimal scheduling of hydrogen systems
15.1. Introduction
15.2. H2 systems application in the power grid
15.3. Mathematical formulation of the optimization problem
15.4. Simulation results and analysis
15.5. Conclusion
Chapter 16. Future perspectives and research areas needed to improve the power system resilience
16.1. Introduction
16.2. Power system resilience enhancement strategies: State-of-the-art
16.3. Future perspectives and research areas
16.4. Conclusion
Index

Mohammad Taghi Ameli

Mohammad Taghi Ameli received his B.Sc. degree in electrical engineering from Technical College of Osnabrück, Germany, in 1988, and his M.Sc. and Ph.D. degrees from Technical University of Berlin, Berlin, Germany, in 1992 and 1997, respectively. He is a Professor of Department of Electrical Engineering and the chair of Research Institute for Electrical Networks at Shahid Beheshti University. He is the Editor-in-Chief of International Journal of Research and Technology in Electrical industry (IJRTEI), since 2020. He was also the General Director of the Iran Research and Technology Institute for Electric Machines for three years. His research interests include operation, planning, and control of power and energy systems, integration of renewable energies to the energy system, and smart grids.

Affiliations and expertise

Department of Electrical Engineering & Electrical Network Research Institute, Shahid Beheshti University, Tehran, Iran.

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, Iran

Sasan Azad

Sasan Azad is a Ph.D student in the Faculty of Electrical Engineering, and a researcher at the Electrical Networks Institute of the Shahid Beheshti University. He obtained his BSc degree from the Razi University of Kermanshah and his MSc degree from the Shahid Beheshti University. His main areas of interest are the security and voltage stability of power systems, smart grids, and electric vehicles.

Affiliations and expertise

Department of Electrical Engineering & Electrical Network Research Institute, Shahid Beheshti University, Tehran, Iran.

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, Iran

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.

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, Iran.

Miadreza Shafie-Khah

Miadreza Shafie-khah received his first PhD in electrical engineering from Tarbiat Modares University, Tehran, Iran. He received his second PhD in electromechanical engineering and first postdoc from the University of Beira Interior (UBI), Covilha, Portugal. He received his second postdoc from the University of Salerno, Salerno, Italy. Currently, he is a Professor (tenure-track) at the University of Vaasa, Vaasa, Finland. He is an Editor of the IEEE TRANSACTIONS ON SUSTAINABLE ENERGY, an Associate Editor of the IEEE Systems Journal, an Associate Editor of the IEEE Access, an editor of the IEEE Open Access Journal of Power and Energy (OAJPE), an Associate Editor for IET-RPG, and the guest Editor-in-Chief of the IEEE OAJPE. He is a Top Scientist in the Research.com Ranking in Engineering and Technology, and he has won five Best Paper Awards at IEEE Conferences. His research interests include electricity markets, power system optimization, demand response, electric vehicles, price and renewable forecasting and smart grids.

Affiliations and expertise

School of Technology and Innovations Flexible Energy Resources, University of Vaasa, Vaasa, Finland.

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Future Modern Distribution Networks Resilience

From Passive Operation to Strategic Active Paradigms

Purchase options

Save 50% on book bundles

Immediately download your ebook while waiting for your print delivery. No promo code needed.

Institutional subscription on ScienceDirect

Mohammad Taghi Ameli

Kamran Jalilpoor

Sasan Azad

Mohammadreza Daneshvar

Mohammad Sadegh Sepasian

Behnam Mohammadi-Ivatloo

Miadreza Shafie-Khah