Decentralized Frameworks for Future Power Systems

Decentralized Frameworks for Future Power Systems

Operation, Planning and Control Perspectives

1st Edition - May 12, 2022

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  • Editors: Mohsen Parsa Moghaddam, Reza Zamani, Hassan Haes Alhelou, Pierluigi Siano
  • Paperback ISBN: 9780323916981
  • eBook ISBN: 9780323985628

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Description

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.

Key Features

  • 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

Readership

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

Table of Contents

  • 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

Product details

  • No. of pages: 500
  • Language: English
  • Copyright: © Academic Press 2022
  • Published: May 12, 2022
  • Imprint: Academic Press
  • Paperback ISBN: 9780323916981
  • eBook ISBN: 9780323985628

About the Editors

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

Hassan Haes Alhelou (Senior Member, IEEE) is currently a faculty member with Tishreen University, Syria. He is also with Monash University, Australia. He was with the School of Electrical and Electronic Engineering, University College Dublin, Ireland. He also was with Sultan Qaboos University (SQU), Oman. He has participated in more than 15 industrial projects. He has published more than 160 research articles in high-quality peer-reviewed journals and international conferences. He is included in the 2018 Publons list of the top 1% best reviewer and researchers in the field of engineering in the world. He has also performed more than 800 reviews for high prestigious journals, including IEEE Transactions on Industrial Informatics, IEEE Transactions on Power Systems, and International Journal of Electrical Power and Energy Systems. His research interests include power system operation, power system dynamics and control, smart grids, microgrids, demand response, and load shedding. He was a recipient of the Outstanding Reviewer Award from many journals, such as Energy Conversion and Management (ECM), ISA Transactions, and Applied Energy. He was also a recipient of the Best Young Researcher in the Arab Student Forum Creative among 61 researchers from 16 countries at Alexandria University, Egypt, in 2011.

Affiliations and Expertise

A/Professor at Department of Electrical Power Engineering, Tishreen University, 2230 Lattakia, Syria

Pierluigi Siano

Pierluigi Siano (M’09–SM'14) received the M.Sc. degree in electronic engineering and the Ph.D. degree in information and electrical engineering from the University of Salerno, Salerno, Italy, in 2001 and 2006, respectively. He is a Professor and Scientific Director of the Smart Grids and Smart Cities Laboratory with the Department of Management & Innovation Systems, University of Salerno. Sice 2021 he has been Distinguished Visiting Professor in the Department of Electrical & Electronic Engineering Science, University of Johannesburg. His research activities are centered on demand response, on energy management, on the integration of distributed energy resources in smart grids, on electricity markets and on planning and management of power systems. In these research fields he has co-authored more than 650 articles including more than 370 international journal papers that received in Scopus more than 12700 citations with an H-index equal to 55. In 2019, 2020 and 2021 he has been awarded as Highly cited Researcher in Engineering by Web of Science Group. He has been the Chair of the IES TC on Smart Grids.He is Editor for the Power & Energy Society Section of IEEE Access, IEEE TRANSACTIONS ON POWER SYSTEMS, IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, IEEE SYSTEMS.

Affiliations and Expertise

Professor at the Department of Management & Innovation Systems, University of Salerno

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