Decentralized Frameworks for Future Power Systems
Operation, Planning and Control Perspectives
- 1st Edition - May 12, 2022
- Imprint: Academic Press
- Editors: Mohsen Parsa Moghaddam, Reza Zamani, Hassan Haes Alhelou, Pierluigi Siano
- Language: English
- Paperback ISBN:9 7 8 - 0 - 3 2 3 - 9 1 6 9 8 - 1
- eBook ISBN:9 7 8 - 0 - 3 2 3 - 9 8 5 6 2 - 8
Decentralized Frameworks for Future Power Systems: Operation, Planning and Control Perspectives is the first book to consider the principles and applications of decentralized… Read more
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Request a sales quoteDecentralized Frameworks for Future Power Systems: Operation, Planning and Control Perspectives is the first book to consider the principles and applications of decentralized decision-making in future power networks. The work opens by defining the emerging power system network as a system-of-systems (SoS), exploring the guiding principles behind optimal solutions for operation and planning problems. Chapters emphasize the role of regulations, prosumption behaviors, and the implementation of transactive energy processes as key components in decentralizing power systems. Contributors explore local markets, distribution system operation and proactive load management. The role of cryptocurrencies in smoothing transactive distributional challenges are presented.
Final sections cover energy system planning, particularly in terms of consumer smart meter technologies and distributed optimization methods, including artificial intelligence, meta-heuristic, heuristic, mathematical and hybrid approaches. The work closes by considering decentralization across the cybersecurity, distributed control, market design and power quality optimization vertices.
- Develops a novel framework for transactive energy management to enhance flexibility in future power systems
- Explores interactions between multiple entities in local power markets based on a distributed optimization approach
- Focuses on practical optimization, planning and control of smart grid systems towards decentralized decision-making
Primarily early career researchers at PhD and postdoctoral levels working on problems in future power systems and smart grids. Graduate students may also be interested in the work as ancillary reading material. Power system engineers and smart grid practitioners
- Cover image
- Title page
- Table of Contents
- Copyright
- Contributors
- Preface
- 1: Energy transformation and decentralization in future power systems
- Abstract
- 1: Introduction
- 2: Energy transformation
- 3: Decentralized decision-making
- 4: Implementation of DDM in future power systems
- 5: Application of DDM in future power system planning
- 6: Power system operation issues based on DDM
- 7: Conclusions
- References
- 2: 5D Giga Trends in future power systems
- Abstract
- 1: Introduction
- 2: What are the 5D Giga Trends?
- 3: The existing power systems issues
- 4: The impacts of 5D Giga Trends on future power systems
- 5: Future power systems affected by 5D Giga Trends
- 6: Opportunities, challenges, and new issues of the future power systems under 5D Giga Trends
- 7: Life cycle of 5D Giga Trends
- References
- 3: Grid transformation driven by high uptake of distributed energy resources—An Australian case study
- Abstract
- 1: Introduction
- 2: Energy transition
- 3: Grid transformation
- 4: Centralized versus decentralized
- 5: Distribution system operator
- 6: Grid transformation in Australia
- References
- 4: Multidimensional method for assessing nonwires alternatives within distribution system planning
- Abstract
- 1: Introduction
- 2: Nonwires alternatives
- 3: Multidimensional planning
- 4: Case study
- 5: Analysis based on the DBT
- 6: Conclusions
- References
- 5: Green approaches in future power systems
- Abstract
- 1: Introduction
- 2: Green transformation
- 3: Energy issues
- 4: Green resources
- 5: Decentralization viewpoint
- 6: Conclusions
- References
- 6: Blockchain for future renewable energy
- Abstract
- Acknowledgment
- 1: Introduction
- 2: Challenges in renewable energy with decentralized frameworks for operation, management, and business
- 3: Blockchain technology
- 4: Potential application of blockchain for future renewable energy
- 5: Implementation of blockchain for renewable energy
- 6: Conclusions
- References
- 7: Electricity market issues in future power systems
- Abstract
- 1: Introduction
- 2: Multiarea market
- 3: Local electricity markets for smart grids
- References
- 8: Role of game theory in future decentralized energy frameworks
- Abstract
- 1: Introduction
- 2: What is the game theory model?
- 3: Types of games
- 4: Types of games based on participants’ involvement
- 5: Conclusions
- References
- 9: Toward customer-centric power grid: Residential EV charging simulator for smart homes
- Abstract
- 1: Introduction
- 2: Literature review
- 3: Smart home demand response simulation
- 4: Conclusions
- References
- Glossary
- 10: Equivalent dynamic modeling of active distribution networks for TSO-DSO interactions
- Abstract
- 1: Introduction
- 2: Unconstrained gray-box linear modeling method
- 3: Operational constrained gray-box nonlinear modeling method
- 4: Simulation and experimental results
- 5: Conclusions
- References
- 11: Transactive control for residential demand-side management: Lessons learned from noncooperative game theory
- Abstract
- 1: Introduction
- 2: Literature review
- 3: Noncooperative games for the coordination of residential loads
- 4: Game aspects
- 5: An application of noncooperative games to coordinate thermal loads
- 6: Conclusions
- References
- 12: Distributed dynamic algorithm for energy management in smart grids
- Abstract
- 1: Introduction
- 2: Preliminaries
- 3: Application of distributed algorithms in economic dispatch problem
- 4: Numerical stability and convergence
- 5: Results and discussions
- 6: Conclusions
- References
- 13: Decentralized power exchange control methods among subsystems in future power network
- Abstract
- 1: Introduction
- 2: Classification of linkage topologies for AC and DC subsystems in future power networks
- 3: Power exchange control strategies among subsystems
- 4: Decentralized control of multiple BLPCs for interlinking subsystems
- 5: Conclusions
- References
- 14: Peer-to-peer management of energy systems
- Abstract
- 1: Introduction
- 2: Modeling the P2P energy management scheme in a local energy system with a multiagent structure
- 3: Extending the developed P2P power market in local energy systems
- 4: Extending the developed P2P power market to address the congestion issue in the energy grid
- 5: Further operational points associated with modeling the P2P energy management framework
- 6: Conclusions
- References
- 15: False data injection attacks on distributed demand response: I’m paying less: A targeted false data injection attack against distributed device scheduling
- Abstract
- 1: Literature review
- 2: System model
- 3: Attack model
- 4: Experiment
- 5: Results
- 6: Discussion
- 7: Conclusions
- References
- 16: Toward building decentralized resilience frameworks for future power grids
- Abstract
- 1: Introduction
- 2: Power grid modeling
- 3: Problem formulation
- 4: Part one: Incorporating smart devices
- 5: Part two: The proposed decentralized resiliency framework
- 6: Experimental results
- 7: Conclusions
- References
- 17: Modeling and evaluation of power system vulnerability against the hurricane
- Abstract
- 1: Introduction
- 2: Temporal and spatial dynamics of hurricanes
- 3: Hurricane velocity anticipation based on the chaos theory and LS-SVM
- 4: Vulnerability of lines and poles against the hurricane
- 5: Scheduling of a network in a normal/hurricane condition
- 6: Test system and main assumptions
- 7: Results and analysis of the proposed model
- 8: Conclusions
- References
- Index
- Edition: 1
- Published: May 12, 2022
- No. of pages (Paperback): 500
- No. of pages (eBook): 500
- Imprint: Academic Press
- Language: English
- Paperback ISBN: 9780323916981
- eBook ISBN: 9780323985628
MM
Mohsen Parsa Moghaddam
Mohsen Parsa Moghaddam is professor of Electrical Engineering (Power Systems) and Faculty Member of Tarbiat Modares University, Tehran, Iran, since 1988. He received B.Sc. in Electrical Engineering from Sharif University of Technology, Iran, 1980 and M.Sc. in Electrical Engineering from Toyohashi University of Technology, Japan, 1985. His Ph.D. in Electrical Engineering was accomplished in Tohoku University, Japan, 1988. His research interest includes power system operation, power system planning, smart grid technologies, demand response, renewable energy system, power system flexibility and renewable energy integration. He has more than 220 research publications in top-tier journals and conferences. He is also a senior member of IEEE and IEEE PES.
Affiliations and expertise
Professor of Electrical Engineering, Tarbiat Modares University, Tehran, IranRZ
Reza Zamani
Reza Zamani received the B.Sc. degree in electrical engineering from Sharif University of Technology in 2015, and M.Sc. degree in power system from Isfahan University of Technology in 2017. His academic proficiencies are accompanied by his numerous hands-on experiences in industrial projects in several companies. He is currently pursuing Ph.D. degree with the faculty of electrical and computer engineering at Tarbiat Modares University in Teheran, Iran. His major research interests are power systems operation and planning, transactive energy, power system dynamics, electricity market, demand response, power system flexibility, smart grids, microgrids, artificial intelligence, and power system protection.
Affiliations and expertise
Ph.D. Student of Electrical Engineering, Tarbiat Modares University, Tehran, IranHA
Hassan Haes Alhelou
HHassan Haes Alhelou is with Monash Universiy, Australia. He is included in the 2018 Publons list of the top 1% best reviewer and researchers in the field of engineering. He was the recipient of the Outstanding Reviewer Award from Energy Conversion and Management Journal in 2016, ISA Transactions Journal in 2018, Applied Energy Journal in 2019, and many other Awards. He was the recipient of the best young researcher in the Arab Student Forum Creative among 61 researchers from 16 countries at Alexandria University, Egypt, 2011. He has published more than 200 research papers in high-quality peer-reviewed journals and international conferences. He has also performed more than 160 reviews for prestigious journals including IEEE Transactions on Industrial Informatics, IEEE Transactions on Industrial Electronics, Energy Conversion and Management, Applied Energy, International Journal of Electrical Power & Energy Systems. He has participated in more than 15 industrial projects. His major research interests are power systems, power system dynamics, power system operation and control, dynamic state estimation, frequency control, smart grids, micro-grids, demand response, load shedding, and power system protection.
Affiliations and expertise
A/Professor at Department of Electrical Power Engineering, Tishreen University, 2230 Lattakia, SyriaPS
Pierluigi Siano
Dr. Pierluigi Siano is a Professor and Scientific Director of the Smart Grids and Smart Cities Laboratory with the Department of Management and Innovation Systems, at the University of Salerno, Italy. He received his Ph.D. degree from the University of Salerno in 2006. Since 2021 he has been a Distinguished Visiting Professor in the Department of Electrical and Electronic Engineering Science, University of Johannesburg, South Africa. His research activities are centred on demand response, energy management, integration of distributed energy resources in smart grids, electricity markets, and planning and management of power systems. Prof. Siano has co-authored more than 680 articles, with 15,240 citations (Scopus), and was a Web of Science Highly Cited Researcher in Engineering in 2019, 2020, and 2021. He is Editor for the Power and Energy Society Section of IEEE Access and several other IEEE publications, and was previously Chair of the IES TC on Smart Grids.
Affiliations and expertise
Professor, Department of Management and Innovation Systems, University of Salerno, Fisciano, ItalyRead Decentralized Frameworks for Future Power Systems on ScienceDirect