About the Editors -- List of Contributors -- Foreword (John D. McDonald) -- Foreword (Massoud Amin) -- Preface for Volume 1: Smart Cyber-Physical Power Systems: Fundamental Concepts, Challenges, and Solutions -- Acknowledgments -- 1 Overview of Smart Cyber-Physical Power Systems: Fundamentals, Challenges, and Solutions 1 Ali Parizad, Hamid Reza Baghaee, and Saifur Rahman -- 1.1 Introduction -- 1.2 Structural Overview and Roadmap of the Book -- 1.3 General Concepts of the Cyber-Physical Systems -- 1.4 Cyber-Physical Energy and Power Systems (CPEPSS) -- 1.5 From Conventional Distribution Networks to Smart Grids -- 1.6 Smart Grid Ecosystem (From Smart Buildings to Smart Grid) -- 1.7 Cybersecurity in Modern Power Systems -- 1.8 Conclusions -- References -- 2 Global Demand Response Status: Potentials, Barriers, and Solutions 71 Sanchari Deb, Elahe Doroudchi, Sergio Motta, Matti Aro, and Amir Safdarian -- 2.1 Background -- 2.2 Global Status of DR Programs -- 2.3 AI and ML Applications in DR -- 2.4 Case Study -- 2.5 Discussion -- References -- 3 Smart Power/Energy Management and Optimization in Microgrids 85 Talal Saleh, Omar Mohamed, Seyed Farhad Zandrazavi, and Miadreza Shafie-khah -- 3.1 Introduction -- 3.2 Materials and Methods -- 3.3 Simulation and Results -- 3.4 Discussion -- 3.5 Conclusions -- References -- 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 -- 4.2 Cyber-Physical System of Systems -- 4.3 Cyber-Physical System of System Application Domains -- 4.4 Smart City Cyber-Physical System of Systems -- 4.5 Smart City Energy Cyber-Physical System of Systems -- 4.6 Planning, Operation, and Control Process in Smart City Energy Cyber-Physical System of Systems -- 4.7 Emergence in Smart City Energy Cyber-Physical System of Systems -- 4.8 Conclusions -- References -- 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 -- 5.2 Background -- 5.3 Concepts -- 5.4 Case Study: Local Energy Market in Metaverse -- 5.5 Discussions and Conclusions -- References -- 6 Cooperative and Distributed Control Strategies of Microgrids 135 Mahmood Jamali and Mahdieh S. Sadabadi -- 6.1 Introduction -- 6.2 Fault-Tolerant Secondary Control Schemes in Islanded AC Microgrids -- 6.3 Finite-Time Fault-Tolerant Voltage Control -- 6.4 Case Studies -- 6.5 Concluding Remarks -- References -- 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 -- 7.2 Architecture -- 7.3 Hierarchical Control of Interconnected MGs -- 7.4 The Multi-Agent System -- 7.5 The Implementation on a Real-Time Cyber-Physical Testbed -- 7.6 Conclusions -- References -- 8 Internet of Energy, and Internet of Microgrids (IoE, IoM) 167 Jonatas Boas Leite and Mladen Kezunovic -- 8.1 Introduction -- 8.2 Interfacing of the IoT Node for Self-Healing Strategies -- 8.3 Performance Assessment Results -- 8.4 Concluding Remarks -- References -- 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 -- 9.2 Traditional Volt/Var Control -- 9.3 Network Model -- 9.4 Chance-Constrained Volt/Var Control -- 9.5 Solution Algorithm -- 9.6 Results -- 9.7 Approximate Load Models for Advanced VVC Functions -- 9.8 Binomial Approximation Method -- 9.9 Linear Regression Method -- 9.10 Results -- 9.11 Conservation Voltage Reduction -- 9.12 Conclusions -- References -- 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 -- 10.1 EVs' Power Demand Forecast Methods -- 10.2 Review of EVs' Energy Management Strategies -- 10.3 Uncertainties Regarding EVs and Their Impact on the Power Networks -- 10.4 Data Analyses Application in Technical Issues of EVs -- 10.5 Concluding Remarks -- References -- 11 Energy Efficiency in Smart Buildings Through IoT Sensor Integration 247 Saifur Rahman and Ali Parizad -- 11.1 Introduction -- 11.2 Building Automation Solution Landscape -- 11.3 Bemoss Tm Features -- 11.4 Targeted Buildings and Loads -- 11.5 BEMOSS TM Architecture -- 11.6 BEMOSS TM Auxiliary Functions -- 11.7 Multiple-protocol Interoperability -- 11.8 Test Results -- 11.9 BEMOSS TM Platform for Campus Applications -- 11.10 Conclusion -- 11.11 Exploring Other Capabilities of the BEMOSS TM Platform -- References -- 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 -- 12.2 CPSS Model -- 12.3 The Cooperative Operation in V2G -- 12.4 Framework of a Charging Station with Battery Swapping Mode -- 12.5 Conclusion -- References -- 13 Power Distribution Systems Self-Healing 315 Konrad Schmitt, Manohar Chamana, Meisam Mahdavi, Stephen Bayne, and Luciane Neves -- 13.1 Introduction -- 13.2 Historical Notes -- 13.3 Self-Healing Concept -- 13.4 Mathematical Formulation -- 13.5 Case Studies -- 13.6 Concluding Remarks -- References -- 14 Resiliency, Reliability, and Security of Cyber-Physical Power System 343 Mohsen Chegnizadeh, Mahmoud Fotuhi-Firuzabad, and Sajjad Fatahian dehkordi -- Abbreviations -- 14.1 Introduction and Motivation -- 14.2 Conceptual and Definitional Studies -- 14.3 Application of Machine Learning in Power Systems -- 14.4 Case Study -- 14.5 Conclusion -- Acknowledgments -- References -- 15 Cyberattacks on Power Systems 365 Alfan Presekal, Vetrivel Subramaniam Rajkumar, Alexandru Ştefanov, Kaikai Pan, and Peter Palensky -- 15.1 Introduction -- 15.2 Cyber Kill Chain -- 15.3 Review of Major Cyberattacks -- 15.4 Taxonomy of Cyberattacks on Power Grids -- 15.5 Impact of Cyberattacks on Power Grids -- 15.6 Study Case and Simulation Results -- 15.7 Conclusion -- Acknowledgement -- List of Acronyms -- References -- 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 -- 16.2 Vulnerabilities of ML Algorithms to Adversarial Attacks -- 16.3 Theoretical Foundations and Applications of Adversarial Attacks -- 16.4 Attack Models Under Different Scenarios Including Full, Limited, and No Knowledge About the Target Model -- 16.5 Real-Life Practical Adversarial Example Generation and Implementation in CPPS -- 16.6 Protection Strategies Against Adversarial Attacks -- 16.7 Conclusion and Recommendation -- References -- 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 -- 17.2 Synchrophasor-Based Wide-Area Monitoring and Control -- 17.3 Synchrophasor Data Flow, Anomalies, and Impacts -- 17.4 Synchrophasor Anomalies Detection and Classification (SyADC) -- 17.5 Quality-Aware Synchrophasor-Based Monitoring and Control Applications -- 17.6 Summary -- Acknowledgements -- References -- 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 -- 18.2 State-Space Model of Systems -- 18.3 Properties of State-Space Models -- 18.4 State Observers and Filters -- 18.5 Application of Observers and Filters in Improving the Authenticity and Accuracy of Measured Data -- 18.6 Case Study 1: Attack Detection and Identification for Automatic Generation Control Systems -- 18.7 Case Study 2: Developing Wide-Band Current Transformers for Traveling-wave-based Protection -- 18.8 Case Study 3: Fault Diagnosis in Transformers Using LPV Observers -- 18.9 Conclusion -- References -- 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 P.