Overview

Authoritative, highly comprehensive guide on how emerging technologies can address various challenges in different sectors of smart cyber-physical power systems As the world shifts towards smarter and more resilient energy systems, cyber-physical power systems (CPSs) represent a critical step in modernizing the power infrastructure. Smart Cyber-Physical Power Systems, Volume 1: Fundamental Concepts, Challenges, and Solutions, offers an in-depth exploration of the fundamental concepts, structures, and major challenges that underlie these complex systems. It covers the essential theories and frameworks that drive the integration of digital technologies with physical power systems, including smart grids, microgrids, and the Internet of Energy. This volume addresses a range of crucial topics, from global demand response strategies and microgrid architectures to smart energy management in cities and advanced distributed control strategies. Additionally, it highlights key challenges such as ensuring resiliency, protecting against cyberattacks, and maintaining reliability in the face of rapid technological advancements. Experts from around the world contribute to this volume, sharing vital insights into the transformation of traditional power systems into adaptive, cyber-physical networks. Their focus on the growing importance of privacy, security, and data analytics makes this book a critical resource for anyone involved in power system research, offering essential tools to navigate and shape the future landscapes of energy systems. Whether you’re a researcher, engineer, or industry professional, this volume provides the foundational knowledge needed to understand the evolving landscape of smart cyber-physical power systems and the significant challenges they face. Join us on a journey through the landscape of Smart Cyber-Physical Power Systems (CPPSs), where cutting-edge solutions meet the challenges of today and forge the energy paradigms of tomorrow, driven by AI/ML, Big Data, Blockchain, IoT, Quantum Computing, Information Theory, Edge Computing, Metaverse, DevOps, and more.

Full Product Details

Author:   Ali Parizad (Virginia Polytechnic Institute and State University, VA, USA) ,  Hamid Reza Baghaee (Tarbiat Modares University, Tehran, Iran) ,  Saifur Rahman (Virginia Polytechnic Institute and State University, VA, USA)
Publisher:   John Wiley & Sons Inc
Imprint:   Wiley-IEEE Press
Dimensions:   Width: 18.50cm , Height: 4.80cm , Length: 25.70cm
Weight:   1.520kg
ISBN:  

9781394191499

ISBN 10:   1394191499
Pages:   800
Publication Date:   05 May 2025
Audience:   Professional and scholarly ,  College/higher education ,  Professional & Vocational ,  Postgraduate, Research & Scholarly
Format:   Hardback
Publisher's Status:   Active
Availability:   Out of stock  
The supplier is temporarily out of stock of this item. It will be ordered for you on backorder and shipped when it becomes available.

Table of Contents

About the Editors xxv List of Contributors xxix Foreword (John D. McDonald) xxxvii Foreword (Massoud Amin) xxxix Preface for Volume 1: Smart Cyber-Physical Power Systems: Fundamental Concepts, Challenges, and Solutions xliii Acknowledgments xlv 1 Overview of Smart Cyber-Physical Power Systems: Fundamentals, Challenges, and Solutions 1 Ali Parizad, Hamid Reza Baghaee, and Saifur Rahman 1.1 Introduction 1 1.2 Structural Overview and Roadmap of the Book 1 1.3 General Concepts of the Cyber-Physical Systems 7 1.4 Cyber-Physical Energy and Power Systems (CPEPSS) 16 1.5 From Conventional Distribution Networks to Smart Grids 21 1.6 Smart Grid Ecosystem (From Smart Buildings to Smart Grid) 42 1.7 Cybersecurity in Modern Power Systems 54 1.8 Conclusions 63 References 64 2 Global Demand Response Status: Potentials, Barriers, and Solutions 71 Sanchari Deb, Elahe Doroudchi, Sergio Motta, Matti Aro, and Amir Safdarian 2.1 Background 71 2.2 Global Status of DR Programs 72 2.3 AI and ML Applications in DR 75 2.4 Case Study 77 2.5 Discussion 81 References 81 3 Smart Power/Energy Management and Optimization in Microgrids 85 Talal Saleh, Omar Mohamed, Seyed Farhad Zandrazavi, and Miadreza Shafie-khah 3.1 Introduction 85 3.2 Materials and Methods 86 3.3 Simulation and Results 91 3.4 Discussion 94 3.5 Conclusions 95 References 96 4 Smart City Energy Infrastructure as a Cyber-Physical System of Systems: Planning, Operation, and Control Processes 99 Mahdi Nozarian, Alireza Fereidunian, and Masoud Barati 4.1 Introduction 99 4.2 Cyber-Physical System of Systems 100 4.3 Cyber-Physical System of System Application Domains 103 4.4 Smart City Cyber-Physical System of Systems 106 4.5 Smart City Energy Cyber-Physical System of Systems 109 4.6 Planning, Operation, and Control Process in Smart City Energy Cyber-Physical System of Systems 112 4.7 Emergence in Smart City Energy Cyber-Physical System of Systems 115 4.8 Conclusions 116 References 117 5 Metaverse Local Energy Market in Smart City: A Descriptive Model and Strategic Development Analysis 125 Mohammad Ghafourian Nasiri, Zahra Iranpour Mobarakeh, Mahdi Nozarian, Alireza Fereidunian, Sabrieh Choobkar, and Hossein Jobran 5.1 Introduction 125 5.2 Background 126 5.3 Concepts 127 5.4 Case Study: Local Energy Market in Metaverse 129 5.5 Discussions and Conclusions 132 References 133 6 Cooperative and Distributed Control Strategies of Microgrids 135 Mahmood Jamali and Mahdieh S. Sadabadi 6.1 Introduction 135 6.2 Fault-Tolerant Secondary Control Schemes in Islanded AC Microgrids 137 6.3 Finite-Time Fault-Tolerant Voltage Control 140 6.4 Case Studies 143 6.5 Concluding Remarks 148 References 149 7 Interconnected Microgrid Systems: Architecture, Hierarchical Control, and Implementation 151 Tung Lam Nguyen, Yu Wang, Ha Thi Nguyen, and Tran The Hoang 7.1 Introduction 151 7.2 Architecture 152 7.3 Hierarchical Control of Interconnected MGs 153 7.4 The Multi-Agent System 157 7.5 The Implementation on a Real-Time Cyber-Physical Testbed 158 7.6 Conclusions 164 References 165 8 Internet of Energy, and Internet of Microgrids (IoE, IoM) 167 Jonatas Boas Leite and Mladen Kezunovic 8.1 Introduction 167 8.2 Interfacing of the IoT Node for Self-Healing Strategies 168 8.3 Performance Assessment Results 176 8.4 Concluding Remarks 183 References 183 9 Voltage Regulation and Reactive Power Optimization for Integration of Distributed Energy Resources into Smart Grids 187 Firdous Ul Nazir, Bikash C. Pal, and Rabih A. Jabr 9.1 Introduction 187 9.2 Traditional Volt/Var Control 188 9.3 Network Model 189 9.4 Chance-Constrained Volt/Var Control 190 9.5 Solution Algorithm 192 9.6 Results 195 9.7 Approximate Load Models for Advanced VVC Functions 197 9.8 Binomial Approximation Method 198 9.9 Linear Regression Method 199 9.10 Results 200 9.11 Conservation Voltage Reduction 202 9.12 Conclusions 202 References 203 10 The Role of Data Analysis in Hosting Capacities of Distribution Power Systems for Electric Vehicles 207 Alireza Ghadertootoonchi, Mehdi Davoudi, Mohaddeseh Koochaki, and Moein Moeini-Aghatie Nomenclature 207 10.1 EVs’ Power Demand Forecast Methods 208 10.2 Review of EVs’ Energy Management Strategies 212 10.3 Uncertainties Regarding EVs and Their Impact on the Power Networks 217 10.4 Data Analyses Application in Technical Issues of EVs 225 10.5 Concluding Remarks 235 References 236 11 Energy Efficiency in Smart Buildings Through IoT Sensor Integration 247 Saifur Rahman and Ali Parizad 11.1 Introduction 247 11.2 Building Automation Solution Landscape 252 11.3 Bemoss Tm Features 253 11.4 Targeted Buildings and Loads 256 11.5 BEMOSS TM Architecture 261 11.6 BEMOSS TM Auxiliary Functions 266 11.7 Multiple-protocol Interoperability 267 11.8 Test Results 268 11.9 BEMOSS TM Platform for Campus Applications 289 11.10 Conclusion 290 11.11 Exploring Other Capabilities of the BEMOSS TM Platform 290 References 290 12 Optimal Dispatch of Smart Energy System Based on Cyber–Physical–Social Integration 293 Jizhong Zhu, Ziyu Chen, Wanli Wu, and Chenke He 12.1 Introduction 293 12.2 CPSS Model 294 12.3 The Cooperative Operation in V2G 302 12.4 Framework of a Charging Station with Battery Swapping Mode 307 12.5 Conclusion 313 References 313 13 Power Distribution Systems Self-Healing 315 Konrad Schmitt, Manohar Chamana, Meisam Mahdavi, Stephen Bayne, and Luciane Neves 13.1 Introduction 315 13.2 Historical Notes 316 13.3 Self-Healing Concept 319 13.4 Mathematical Formulation 323 13.5 Case Studies 330 13.6 Concluding Remarks 338 References 339 14 Resiliency, Reliability, and Security of Cyber-Physical Power System 343 Mohsen Chegnizadeh, Mahmoud Fotuhi-Firuzabad, and Sajjad Fatahian dehkordi Abbreviations 343 14.1 Introduction and Motivation 344 14.2 Conceptual and Definitional Studies 346 14.3 Application of Machine Learning in Power Systems 350 14.4 Case Study 355 14.5 Conclusion 360 Acknowledgments 360 References 360 15 Cyberattacks on Power Systems 365 Alfan Presekal, Vetrivel Subramaniam Rajkumar, Alexandru Ştefanov, Kaikai Pan, and Peter Palensky 15.1 Introduction 365 15.2 Cyber Kill Chain 366 15.3 Review of Major Cyberattacks 368 15.4 Taxonomy of Cyberattacks on Power Grids 374 15.5 Impact of Cyberattacks on Power Grids 389 15.6 Study Case and Simulation Results 391 15.7 Conclusion 393 Acknowledgement 394 List of Acronyms 396 References 398 16 Vulnerabilities of Machine Learning Algorithms to Adversarial Attacks for Cyber-Physical Power Systems 405 Tapadhir Das, Raj Mani Shukla, Mohammed Ben-Idris, and Shamik Sengupta 16.1 Introduction 405 16.2 Vulnerabilities of ML Algorithms to Adversarial Attacks 407 16.3 Theoretical Foundations and Applications of Adversarial Attacks 412 16.4 Attack Models Under Different Scenarios Including Full, Limited, and No Knowledge About the Target Model 414 16.5 Real-Life Practical Adversarial Example Generation and Implementation in CPPS 417 16.6 Protection Strategies Against Adversarial Attacks 418 16.7 Conclusion and Recommendation 421 References 422 17 Synchrophasor Data Anomaly Detection for Wide-Area Monitoring and Control in Cyber-Power Systems 425 A.K. Srivastava, S. Pandey, A. Ahmed, S. Basumalik, and S.K. Sadanandan 17.1 Introduction 425 17.2 Synchrophasor-Based Wide-Area Monitoring and Control 426 17.3 Synchrophasor Data Flow, Anomalies, and Impacts 427 17.4 Synchrophasor Anomalies Detection and Classification (SyADC) 429 17.5 Quality-Aware Synchrophasor-Based Monitoring and Control Applications 441 17.6 Summary 445 Acknowledgements 446 References 446 18 Application of State Observers and Filters in Protection and Cyber-Security of Power Grids 451 Mohammadmahdi Asghari, Amir Ameli, Mohsen Ghafouri, and Mohammad N. Uddin 18.1 Introduction 451 18.2 State–Space Model of Systems 452 18.3 Properties of State–Space Models 454 18.4 State Observers and Filters 455 18.5 Application of Observers and Filters in Improving the Authenticity and Accuracy of Measured Data 467 18.6 Case Study 1: Attack Detection and Identification for Automatic Generation Control Systems 469 18.7 Case Study 2: Developing Wide-Band Current Transformers for Traveling-wave-based Protection 480 18.8 Case Study 3: Fault Diagnosis in Transformers Using LPV Observers 489 18.9 Conclusion 498 References 498 19 Anomaly Detection and Mitigation in Cyber-Physical Power Systems Based on Hybrid Deep Learning and Attack Graphs 505 Alfan Presekal, Alexandru Ştefanov, Vetrivel Subramaniam Rajkumar, and Peter Palensky Abbreviations 505 19.1 Power Grid Cyber Resilience 506 19.2 Operational Technologies and Secure Communication Protocols 508 19.3 Cyber-Physical System Co-Simulation and Cyber Ranges 512 19.4 Network Security Controls 516 19.5 Hybrid Deep Learning for Anomaly Detection in Power System OT Networks 521 19.6 Hybrid Deep Learning Model for Anomaly Detection 522 19.7 Attack Graph for Situational Awareness 525 19.8 Cyber Attack Case Studies 527 19.9 Conclusions 531 Acknowledgments 531 References 532 20 Attack Detection and Countermeasures at Edge Devices 539 Fahim Ahmed and Md Tanvir Arafin 20.1 Introduction 539 20.2 Attack Surfaces for Edge Devices 540 20.3 Security Issues and Common Attacks in Edge Devices 543 20.4 Attack Detection Techniques and Countermeasures 547 20.5 Conclusions and Future Research Directions 550 Acknowledgments 550 References 551 21 Privacy-Preserving Outage Detection in Modern Distribution Grids: Challenges and Opportunities 555 Chenhan Xiao, Yizheng Liao, and Yang Weng 21.1 Introduction 555 21.2 Preliminaries 557 21.3 Privacy-Aware Line Outage Detection with Boosted Performance 559 21.4 Validation on Extensive Outage Scenarios with Real-World Data 565 21.5 Conclusions 572 References 572 22 Transactive Energy Management and Distribution System Reform Using Market Concepts 575 Amr A. Mohamed, Bala Venkatesh, Carlos Sabillon, and Ali Golriz Nomenclature 575 22.1 Introduction 576 22.2 Proposed TEM Market Platform 578 22.3 Demonstrative Case Studies 583 22.4 Conclusion Remarks and Prospects for the Future 590 References 591 Appendix 22.A Line Segment Data of the 34-bus Test System (ohms) 593 23 Transactive Energy Systems in Decentralized Autonomous Renewable Energy Communities 597 Riccardo Trevisan, Emilio Ghiani, Marco Galici, Susanna Mocci, and Fabrizio Pilo 23.1 Introduction 597 23.2 RECs as DAOs 599 23.3 Toward the Tokenization of the Governance 602 23.4 Conclusions 612 References 612 24 Transactive Coordination Paradigm for Efficient Charging Management of Plug-in Electric Vehicles in Future Distribution Networks 617 Hossein Saber, Hossein Ranjbar, and Moein Moeini-Aghtaie 24.1 Introduction 617 24.2 Transportation Electrification 618 24.3 Demand-Side Management Approaches 620 24.4 Examples of TE Model Worldwide Projects 622 24.5 TE Paradigm in Charging Management of EVs 625 24.6 Conclusions and Future Works 630 References 631 25 Optimal Peer-to-Peer Energy Trading Using Machine Learning: Architecture, Strategies, and Algorithms 635 Nadya Noorfatima and Jaesung Jung 25.1 Introduction 635 25.2 P2P Energy Trading Architecture 636 25.3 ml Operation in P2P Energy Trading 646 25.4 Simulation 650 25.5 Conclusion 654 References 654 26 Optimal Peer-to-Peer Power Sharing in DC Islanded Microgrids 657 Rabia Khan and Noel N. Schulz 26.1 Introduction 657 26.2 Modeling of Islanded DC Microgrid System 659 26.3 Optimal Power Flow Problem Formulation of DC Islanded Microgrid System 662 26.4 Results and Discussion 664 26.5 Conclusion and Future Work 673 Acknowledgment 675 Bibliography 675 27 Blockchain-Based Energy Trading Employing Hyperledger and Anomaly Detection Algorithms 679 Zejia Jing, Ali Parizad, and Saifur Rahman 27.1 Introduction 679 27.2 Literature Review 680 27.3 Anomaly Detection 688 27.4 Blockchain-Based Anomaly Detection Case Study 703 27.5 Conclusion 709 References 710 28 Optimal Coordination of VSC-Interfaced Subsystems to Safeguard the Frequency Performance of Cyber-Physical Power Systems 715 Georgios Giannakopoulos, Arcadio Perilla Guerra, José Luis Rueda Torres, and Peter Palensky 28.1 Motivation and Scope of the Chapter 715 28.2 The HVDC–HVAC Cyber-Physical Test Power System 716 28.3 Statement of the Optimization of FFC for PEI 719 28.4 Solution by Mean–Variance Optimization 720 28.5 Simulation Analysis 722 28.6 Concluding Reflections 724 References 725 Index 727

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Ali Parizad, PhD, is a Postdoctoral Associate at the Advanced Research Institute (ARI) of Virginia Polytechnic Institute and State University, VA, USA. Leveraging his extensive academic background, he served as a Senior Data Scientist in the IDA Data Science & Machine Learning (DSML) Department at Shell Energy. He holds the position of Staff Power Systems Machine Learning Engineer at Thinklabs AI, where he tackles critical challenges in power systems with cutting-edge AI applications. Hamid Reza Baghaee, PhD, is an Associate Research Professor at Amirkabir University of Technology, Tehran, Iran. Saifur Rahman, PhD, is the founding director of the Advanced Research Institute at Virginia Tech, where he is the Joseph R. Loring Professor of Electrical and Computer Engineering.

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