Decentralized Frameworks for Future Power Systems

Operation, Planning and Control Perspectives

1st Edition - May 12, 2022
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

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Decentralized 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.

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

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, Iran

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, Iran

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, Syria

Pierluigi Siano

Dr. Siano received a PhD in Information and Electrical Engineering from the University of Salerno, Salerno, Italy, in 2006. He is a Professor and the Scientific Director of the Smart Grids and Smart Cities Laboratory with the Department of Management and Innovation Systems of the University of Salerno. Since 2021, he has been a Distinguished Visiting Professor in the Department of Electrical and Electronic Engineering Science at the University of Johannesburg, South Africa. His research activities are focused on demand response, energy management, the integration of distributed energy resources in smart grids, electricity markets, and planning and management of power systems. He is a prolific author and, in 2019, 2020, and 2021, was awarded as a Highly Cited Researcher in Engineering by the ISI Web of Science Group. He is Editor for several IEEE journals, including the Power & Energy Society Section of IEEE Access, IEEE Transactions on Power Systems, IEEE Transactions on Industrial Informatics, IEEE Transactions on Industrial Electronics, and IEEE Systems.

Affiliations and expertise

Professor, Dept. of Management and Innovation Systems, University of Salerno, Fisciano, Italy