{"product_id":"smart-cyber-physical-power-systems-volume-1-fundamental-concepts-challenges-and-solutions-hardback-9781394191499","title":"Smart Cyber-Physical Power Systems, Volume 1; Fundamental Concepts, Challenges, and Solutions (Hardback) 9781394191499","description":"\u003cfont face=\"Georgia\"\u003e\r\n\u003cp\u003e\u003cfont size=\"6\"\u003eSmart Cyber-Physical Power Systems, Volume 1\u003c\/font\u003e\u003cbr\u003e\r\n\u003cfont size=\"5\"\u003eFundamental Concepts, Challenges, and Solutions\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\r\n\r\n\u003cp\u003e\u003cfont size=\"4\"\u003eAli Parizad (Edited by), A Parizad (Author), Hamid Reza Baghaee (Edited by), Saifur Rahman (Edited by)\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e9781394191499, Wiley\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eHardback, published 5 May 2025\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e800 pages\u003cbr\u003e25.6 x 18.5 x 4.8 cm, 1.52 kg\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\r\n\r\n\r\n\u003cp align=\"justify\"\u003e\u003cstrong\u003e\u003cfont size=\"3\"\u003e\u003cp\u003e\u003cb\u003eAuthoritative, highly comprehensive guide on how emerging technologies can address various challenges in different sectors of smart cyber-physical power systems\u003c\/b\u003e \u003c\/p\u003e\n\u003cp\u003eAs the world shifts towards smarter and more resilient energy systems, cyber-physical power systems (CPSs) represent a critical step in modernizing the power infrastructure. \u003ci\u003eSmart Cyber-Physical Power Systems, Volume 1: Fundamental Concepts, Challenges, and Solutions,\u003c\/i\u003e 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. \u003c\/p\u003e\n\u003cp\u003eThis 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. \u003c\/p\u003e\n\u003cp\u003eExperts 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. \u003c\/p\u003e\n\u003cp\u003eWhether 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. \u003c\/p\u003e\n\u003cp\u003eJoin 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.\u003c\/p\u003e\u003c\/font\u003e\u003c\/strong\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e\u003cp\u003eAbout the Editors xxv\u003c\/p\u003e \u003cp\u003eList of Contributors xxix\u003c\/p\u003e \u003cp\u003eForeword (John D. McDonald) xxxvii\u003c\/p\u003e \u003cp\u003eForeword (Massoud Amin) xxxix\u003c\/p\u003e \u003cp\u003ePreface for Volume 1: Smart Cyber-Physical Power Systems: Fundamental Concepts, Challenges, and Solutions xliii\u003c\/p\u003e \u003cp\u003eAcknowledgments xlv\u003c\/p\u003e \u003cp\u003e\u003cb\u003e1 Overview of Smart Cyber-Physical Power Systems: Fundamentals, Challenges, and Solutions 1\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eAli Parizad, Hamid Reza Baghaee, and Saifur Rahman\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e1.1 Introduction 1\u003c\/p\u003e \u003cp\u003e1.2 Structural Overview and Roadmap of the Book 1\u003c\/p\u003e \u003cp\u003e1.3 General Concepts of the Cyber-Physical Systems 7\u003c\/p\u003e \u003cp\u003e1.4 Cyber-Physical Energy and Power Systems (CPEPSS) 16\u003c\/p\u003e \u003cp\u003e1.5 From Conventional Distribution Networks to Smart Grids 21\u003c\/p\u003e \u003cp\u003e1.6 Smart Grid Ecosystem (From Smart Buildings to Smart Grid) 42\u003c\/p\u003e \u003cp\u003e1.7 Cybersecurity in Modern Power Systems 54\u003c\/p\u003e \u003cp\u003e1.8 Conclusions 63\u003c\/p\u003e \u003cp\u003eReferences 64\u003c\/p\u003e \u003cp\u003e\u003cb\u003e2 Global Demand Response Status: Potentials, Barriers, and Solutions 71\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eSanchari Deb, Elahe Doroudchi, Sergio Motta, Matti Aro, and Amir Safdarian\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e2.1 Background 71\u003c\/p\u003e \u003cp\u003e2.2 Global Status of DR Programs 72\u003c\/p\u003e \u003cp\u003e2.3 AI and ML Applications in DR 75\u003c\/p\u003e \u003cp\u003e2.4 Case Study 77\u003c\/p\u003e \u003cp\u003e2.5 Discussion 81\u003c\/p\u003e \u003cp\u003eReferences 81\u003c\/p\u003e \u003cp\u003e\u003cb\u003e3 Smart Power\/Energy Management and Optimization in Microgrids 85\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eTalal Saleh, Omar Mohamed, Seyed Farhad Zandrazavi, and Miadreza Shafie-khah\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e3.1 Introduction 85\u003c\/p\u003e \u003cp\u003e3.2 Materials and Methods 86\u003c\/p\u003e \u003cp\u003e3.3 Simulation and Results 91\u003c\/p\u003e \u003cp\u003e3.4 Discussion 94\u003c\/p\u003e \u003cp\u003e3.5 Conclusions 95\u003c\/p\u003e \u003cp\u003eReferences 96\u003c\/p\u003e \u003cp\u003e\u003cb\u003e4 Smart City Energy Infrastructure as a Cyber-Physical System of Systems: Planning, Operation, and Control Processes 99\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eMahdi Nozarian, Alireza Fereidunian, and Masoud Barati\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e4.1 Introduction 99\u003c\/p\u003e \u003cp\u003e4.2 Cyber-Physical System of Systems 100\u003c\/p\u003e \u003cp\u003e4.3 Cyber-Physical System of System Application Domains 103\u003c\/p\u003e \u003cp\u003e4.4 Smart City Cyber-Physical System of Systems 106\u003c\/p\u003e \u003cp\u003e4.5 Smart City Energy Cyber-Physical System of Systems 109\u003c\/p\u003e \u003cp\u003e4.6 Planning, Operation, and Control Process in Smart City Energy Cyber-Physical System of Systems 112\u003c\/p\u003e \u003cp\u003e4.7 Emergence in Smart City Energy Cyber-Physical System of Systems 115\u003c\/p\u003e \u003cp\u003e4.8 Conclusions 116\u003c\/p\u003e \u003cp\u003eReferences 117\u003c\/p\u003e \u003cp\u003e\u003cb\u003e5 Metaverse Local Energy Market in Smart City: A Descriptive Model and Strategic Development Analysis 125\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eMohammad Ghafourian Nasiri, Zahra Iranpour Mobarakeh, Mahdi Nozarian, Alireza Fereidunian, Sabrieh Choobkar, and Hossein Jobran\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e5.1 Introduction 125\u003c\/p\u003e \u003cp\u003e5.2 Background 126\u003c\/p\u003e \u003cp\u003e5.3 Concepts 127\u003c\/p\u003e \u003cp\u003e5.4 Case Study: Local Energy Market in Metaverse 129\u003c\/p\u003e \u003cp\u003e5.5 Discussions and Conclusions 132\u003c\/p\u003e \u003cp\u003eReferences 133\u003c\/p\u003e \u003cp\u003e\u003cb\u003e6 Cooperative and Distributed Control Strategies of Microgrids 135\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eMahmood Jamali and Mahdieh S. Sadabadi\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e6.1 Introduction 135\u003c\/p\u003e \u003cp\u003e6.2 Fault-Tolerant Secondary Control Schemes in Islanded AC Microgrids 137\u003c\/p\u003e \u003cp\u003e6.3 Finite-Time Fault-Tolerant Voltage Control 140\u003c\/p\u003e \u003cp\u003e6.4 Case Studies 143\u003c\/p\u003e \u003cp\u003e6.5 Concluding Remarks 148\u003c\/p\u003e \u003cp\u003eReferences 149\u003c\/p\u003e \u003cp\u003e\u003cb\u003e7 Interconnected Microgrid Systems: Architecture, Hierarchical Control, and Implementation 151\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eTung Lam Nguyen, Yu Wang, Ha Thi Nguyen, and Tran The Hoang\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e7.1 Introduction 151\u003c\/p\u003e \u003cp\u003e7.2 Architecture 152\u003c\/p\u003e \u003cp\u003e7.3 Hierarchical Control of Interconnected MGs 153\u003c\/p\u003e \u003cp\u003e7.4 The Multi-Agent System 157\u003c\/p\u003e \u003cp\u003e7.5 The Implementation on a Real-Time Cyber-Physical Testbed 158\u003c\/p\u003e \u003cp\u003e7.6 Conclusions 164\u003c\/p\u003e \u003cp\u003eReferences 165\u003c\/p\u003e \u003cp\u003e\u003cb\u003e8 Internet of Energy, and Internet of Microgrids (IoE, IoM) 167\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eJonatas Boas Leite and Mladen Kezunovic\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e8.1 Introduction 167\u003c\/p\u003e \u003cp\u003e8.2 Interfacing of the IoT Node for Self-Healing Strategies 168\u003c\/p\u003e \u003cp\u003e8.3 Performance Assessment Results 176\u003c\/p\u003e \u003cp\u003e8.4 Concluding Remarks 183\u003c\/p\u003e \u003cp\u003eReferences 183\u003c\/p\u003e \u003cp\u003e\u003cb\u003e9 Voltage Regulation and Reactive Power Optimization for Integration of Distributed Energy Resources into Smart Grids 187\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eFirdous Ul Nazir, Bikash C. Pal, and Rabih A. Jabr\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e9.1 Introduction 187\u003c\/p\u003e \u003cp\u003e9.2 Traditional Volt\/Var Control 188\u003c\/p\u003e \u003cp\u003e9.3 Network Model 189\u003c\/p\u003e \u003cp\u003e9.4 Chance-Constrained Volt\/Var Control 190\u003c\/p\u003e \u003cp\u003e9.5 Solution Algorithm 192\u003c\/p\u003e \u003cp\u003e9.6 Results 195\u003c\/p\u003e \u003cp\u003e9.7 Approximate Load Models for Advanced VVC Functions 197\u003c\/p\u003e \u003cp\u003e9.8 Binomial Approximation Method 198\u003c\/p\u003e \u003cp\u003e9.9 Linear Regression Method 199\u003c\/p\u003e \u003cp\u003e9.10 Results 200\u003c\/p\u003e \u003cp\u003e9.11 Conservation Voltage Reduction 202\u003c\/p\u003e \u003cp\u003e9.12 Conclusions 202\u003c\/p\u003e \u003cp\u003eReferences 203\u003c\/p\u003e \u003cp\u003e\u003cb\u003e10 The Role of Data Analysis in Hosting Capacities of Distribution Power Systems for Electric Vehicles 207\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eAlireza Ghadertootoonchi, Mehdi Davoudi, Mohaddeseh Koochaki, and Moein Moeini-Aghatie\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003eNomenclature 207\u003c\/p\u003e \u003cp\u003e10.1 EVs’ Power Demand Forecast Methods 208\u003c\/p\u003e \u003cp\u003e10.2 Review of EVs’ Energy Management Strategies 212\u003c\/p\u003e \u003cp\u003e10.3 Uncertainties Regarding EVs and Their Impact on the Power Networks 217\u003c\/p\u003e \u003cp\u003e10.4 Data Analyses Application in Technical Issues of EVs 225\u003c\/p\u003e \u003cp\u003e10.5 Concluding Remarks 235\u003c\/p\u003e \u003cp\u003eReferences 236\u003c\/p\u003e \u003cp\u003e\u003cb\u003e11 Energy Efficiency in Smart Buildings Through IoT Sensor Integration 247\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eSaifur Rahman and Ali Parizad\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e11.1 Introduction 247\u003c\/p\u003e \u003cp\u003e11.2 Building Automation Solution Landscape 252\u003c\/p\u003e \u003cp\u003e11.3 Bemoss Tm Features 253\u003c\/p\u003e \u003cp\u003e11.4 Targeted Buildings and Loads 256\u003c\/p\u003e \u003cp\u003e11.5 BEMOSS TM Architecture 261\u003c\/p\u003e \u003cp\u003e11.6 BEMOSS TM Auxiliary Functions 266\u003c\/p\u003e \u003cp\u003e11.7 Multiple-protocol Interoperability 267\u003c\/p\u003e \u003cp\u003e11.8 Test Results 268\u003c\/p\u003e \u003cp\u003e11.9 BEMOSS TM Platform for Campus Applications 289\u003c\/p\u003e \u003cp\u003e11.10 Conclusion 290\u003c\/p\u003e \u003cp\u003e11.11 Exploring Other Capabilities of the BEMOSS TM Platform 290\u003c\/p\u003e \u003cp\u003eReferences 290\u003c\/p\u003e \u003cp\u003e\u003cb\u003e12 Optimal Dispatch of Smart Energy System Based on Cyber–Physical–Social Integration 293\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eJizhong Zhu, Ziyu Chen, Wanli Wu, and Chenke He\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e12.1 Introduction 293\u003c\/p\u003e \u003cp\u003e12.2 CPSS Model 294\u003c\/p\u003e \u003cp\u003e12.3 The Cooperative Operation in V2G 302\u003c\/p\u003e \u003cp\u003e12.4 Framework of a Charging Station with Battery Swapping Mode 307\u003c\/p\u003e \u003cp\u003e12.5 Conclusion 313\u003c\/p\u003e \u003cp\u003eReferences 313\u003c\/p\u003e \u003cp\u003e\u003cb\u003e13 Power Distribution Systems Self-Healing 315\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eKonrad Schmitt, Manohar Chamana, Meisam Mahdavi, Stephen Bayne, and Luciane Neves\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e13.1 Introduction 315\u003c\/p\u003e \u003cp\u003e13.2 Historical Notes 316\u003c\/p\u003e \u003cp\u003e13.3 Self-Healing Concept 319\u003c\/p\u003e \u003cp\u003e13.4 Mathematical Formulation 323\u003c\/p\u003e \u003cp\u003e13.5 Case Studies 330\u003c\/p\u003e \u003cp\u003e13.6 Concluding Remarks 338\u003c\/p\u003e \u003cp\u003eReferences 339\u003c\/p\u003e \u003cp\u003e\u003cb\u003e14 Resiliency, Reliability, and Security of Cyber-Physical Power System 343\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eMohsen Chegnizadeh, Mahmoud Fotuhi-Firuzabad, and Sajjad Fatahian dehkordi\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003eAbbreviations 343\u003c\/p\u003e \u003cp\u003e14.1 Introduction and Motivation 344\u003c\/p\u003e \u003cp\u003e14.2 Conceptual and Definitional Studies 346\u003c\/p\u003e \u003cp\u003e14.3 Application of Machine Learning in Power Systems 350\u003c\/p\u003e \u003cp\u003e14.4 Case Study 355\u003c\/p\u003e \u003cp\u003e14.5 Conclusion 360\u003c\/p\u003e \u003cp\u003eAcknowledgments 360\u003c\/p\u003e \u003cp\u003eReferences 360\u003c\/p\u003e \u003cp\u003e\u003cb\u003e15 Cyberattacks on Power Systems 365\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eAlfan Presekal, Vetrivel Subramaniam Rajkumar, Alexandru Ştefanov, Kaikai Pan, and Peter Palensky\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e15.1 Introduction 365\u003c\/p\u003e \u003cp\u003e15.2 Cyber Kill Chain 366\u003c\/p\u003e \u003cp\u003e15.3 Review of Major Cyberattacks 368\u003c\/p\u003e \u003cp\u003e15.4 Taxonomy of Cyberattacks on Power Grids 374\u003c\/p\u003e \u003cp\u003e15.5 Impact of Cyberattacks on Power Grids 389\u003c\/p\u003e \u003cp\u003e15.6 Study Case and Simulation Results 391\u003c\/p\u003e \u003cp\u003e15.7 Conclusion 393\u003c\/p\u003e \u003cp\u003eAcknowledgement 394\u003c\/p\u003e \u003cp\u003eList of Acronyms 396\u003c\/p\u003e \u003cp\u003eReferences 398\u003c\/p\u003e \u003cp\u003e\u003cb\u003e16 Vulnerabilities of Machine Learning Algorithms to Adversarial Attacks for Cyber-Physical Power Systems 405\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eTapadhir Das, Raj Mani Shukla, Mohammed Ben-Idris, and Shamik Sengupta\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e16.1 Introduction 405\u003c\/p\u003e \u003cp\u003e16.2 Vulnerabilities of ML Algorithms to Adversarial Attacks 407\u003c\/p\u003e \u003cp\u003e16.3 Theoretical Foundations and Applications of Adversarial Attacks 412\u003c\/p\u003e \u003cp\u003e16.4 Attack Models Under Different Scenarios Including Full, Limited, and No Knowledge About the Target Model 414\u003c\/p\u003e \u003cp\u003e16.5 Real-Life Practical Adversarial Example Generation and Implementation in CPPS 417\u003c\/p\u003e \u003cp\u003e16.6 Protection Strategies Against Adversarial Attacks 418\u003c\/p\u003e \u003cp\u003e16.7 Conclusion and Recommendation 421\u003c\/p\u003e \u003cp\u003eReferences 422\u003c\/p\u003e \u003cp\u003e\u003cb\u003e17 Synchrophasor Data Anomaly Detection for Wide-Area Monitoring and Control in Cyber-Power Systems 425\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eA.K. Srivastava, S. Pandey, A. Ahmed, S. Basumalik, and S.K. Sadanandan\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e17.1 Introduction 425\u003c\/p\u003e \u003cp\u003e17.2 Synchrophasor-Based Wide-Area Monitoring and Control 426\u003c\/p\u003e \u003cp\u003e17.3 Synchrophasor Data Flow, Anomalies, and Impacts 427\u003c\/p\u003e \u003cp\u003e17.4 Synchrophasor Anomalies Detection and Classification (SyADC) 429\u003c\/p\u003e \u003cp\u003e17.5 Quality-Aware Synchrophasor-Based Monitoring and Control Applications 441\u003c\/p\u003e \u003cp\u003e17.6 Summary 445\u003c\/p\u003e \u003cp\u003eAcknowledgements 446\u003c\/p\u003e \u003cp\u003eReferences 446\u003c\/p\u003e \u003cp\u003e\u003cb\u003e18 Application of State Observers and Filters in Protection and Cyber-Security of Power Grids 451\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eMohammadmahdi Asghari, Amir Ameli, Mohsen Ghafouri, and Mohammad N. Uddin\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e18.1 Introduction 451\u003c\/p\u003e \u003cp\u003e18.2 State–Space Model of Systems 452\u003c\/p\u003e \u003cp\u003e18.3 Properties of State–Space Models 454\u003c\/p\u003e \u003cp\u003e18.4 State Observers and Filters 455\u003c\/p\u003e \u003cp\u003e18.5 Application of Observers and Filters in Improving the Authenticity and Accuracy of Measured Data 467\u003c\/p\u003e \u003cp\u003e18.6 Case Study 1: Attack Detection and Identification for Automatic Generation Control Systems 469\u003c\/p\u003e \u003cp\u003e18.7 Case Study 2: Developing Wide-Band Current Transformers for Traveling-wave-based Protection 480\u003c\/p\u003e \u003cp\u003e18.8 Case Study 3: Fault Diagnosis in Transformers Using LPV Observers 489\u003c\/p\u003e \u003cp\u003e18.9 Conclusion 498\u003c\/p\u003e \u003cp\u003eReferences 498\u003c\/p\u003e \u003cp\u003e\u003cb\u003e19 Anomaly Detection and Mitigation in Cyber-Physical Power Systems Based on Hybrid Deep Learning and Attack Graphs 505\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eAlfan Presekal, Alexandru Ştefanov, Vetrivel Subramaniam Rajkumar, and Peter Palensky\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003eAbbreviations 505\u003c\/p\u003e \u003cp\u003e19.1 Power Grid Cyber Resilience 506\u003c\/p\u003e \u003cp\u003e19.2 Operational Technologies and Secure Communication Protocols 508\u003c\/p\u003e \u003cp\u003e19.3 Cyber-Physical System Co-Simulation and Cyber Ranges 512\u003c\/p\u003e \u003cp\u003e19.4 Network Security Controls 516\u003c\/p\u003e \u003cp\u003e19.5 Hybrid Deep Learning for Anomaly Detection in Power System OT Networks 521\u003c\/p\u003e \u003cp\u003e19.6 Hybrid Deep Learning Model for Anomaly Detection 522\u003c\/p\u003e \u003cp\u003e19.7 Attack Graph for Situational Awareness 525\u003c\/p\u003e \u003cp\u003e19.8 Cyber Attack Case Studies 527\u003c\/p\u003e \u003cp\u003e19.9 Conclusions 531\u003c\/p\u003e \u003cp\u003eAcknowledgments 531\u003c\/p\u003e \u003cp\u003eReferences 532\u003c\/p\u003e \u003cp\u003e\u003cb\u003e20 Attack Detection and Countermeasures at Edge Devices 539\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eFahim Ahmed and Md Tanvir Arafin\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e20.1 Introduction 539\u003c\/p\u003e \u003cp\u003e20.2 Attack Surfaces for Edge Devices 540\u003c\/p\u003e \u003cp\u003e20.3 Security Issues and Common Attacks in Edge Devices 543\u003c\/p\u003e \u003cp\u003e20.4 Attack Detection Techniques and Countermeasures 547\u003c\/p\u003e \u003cp\u003e20.5 Conclusions and Future Research Directions 550\u003c\/p\u003e \u003cp\u003eAcknowledgments 550\u003c\/p\u003e \u003cp\u003eReferences 551\u003c\/p\u003e \u003cp\u003e\u003cb\u003e21 Privacy-Preserving Outage Detection in Modern Distribution Grids: Challenges and Opportunities 555\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eChenhan Xiao, Yizheng Liao, and Yang Weng\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e21.1 Introduction 555\u003c\/p\u003e \u003cp\u003e21.2 Preliminaries 557\u003c\/p\u003e \u003cp\u003e21.3 Privacy-Aware Line Outage Detection with Boosted Performance 559\u003c\/p\u003e \u003cp\u003e21.4 Validation on Extensive Outage Scenarios with Real-World Data 565\u003c\/p\u003e \u003cp\u003e21.5 Conclusions 572\u003c\/p\u003e \u003cp\u003eReferences 572\u003c\/p\u003e \u003cp\u003e\u003cb\u003e22 Transactive Energy Management and Distribution System Reform Using Market Concepts 575\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eAmr A. Mohamed, Bala Venkatesh, Carlos Sabillon, and Ali Golriz\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003eNomenclature 575\u003c\/p\u003e \u003cp\u003e22.1 Introduction 576\u003c\/p\u003e \u003cp\u003e22.2 Proposed TEM Market Platform 578\u003c\/p\u003e \u003cp\u003e22.3 Demonstrative Case Studies 583\u003c\/p\u003e \u003cp\u003e22.4 Conclusion Remarks and Prospects for the Future 590\u003c\/p\u003e \u003cp\u003eReferences 591\u003c\/p\u003e \u003cp\u003eAppendix 22.A Line Segment Data of the 34-bus Test System (ohms) 593\u003c\/p\u003e \u003cp\u003e\u003cb\u003e23 Transactive Energy Systems in Decentralized Autonomous Renewable Energy Communities 597\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eRiccardo Trevisan, Emilio Ghiani, Marco Galici, Susanna Mocci, and Fabrizio Pilo\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e23.1 Introduction 597\u003c\/p\u003e \u003cp\u003e23.2 RECs as DAOs 599\u003c\/p\u003e \u003cp\u003e23.3 Toward the Tokenization of the Governance 602\u003c\/p\u003e \u003cp\u003e23.4 Conclusions 612\u003c\/p\u003e \u003cp\u003eReferences 612\u003c\/p\u003e \u003cp\u003e\u003cb\u003e24 Transactive Coordination Paradigm for Efficient Charging Management of Plug-in Electric Vehicles in Future Distribution Networks 617\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eHossein Saber, Hossein Ranjbar, and Moein Moeini-Aghtaie\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e24.1 Introduction 617\u003c\/p\u003e \u003cp\u003e24.2 Transportation Electrification 618\u003c\/p\u003e \u003cp\u003e24.3 Demand-Side Management Approaches 620\u003c\/p\u003e \u003cp\u003e24.4 Examples of TE Model Worldwide Projects 622\u003c\/p\u003e \u003cp\u003e24.5 TE Paradigm in Charging Management of EVs 625\u003c\/p\u003e \u003cp\u003e24.6 Conclusions and Future Works 630\u003c\/p\u003e \u003cp\u003eReferences 631\u003c\/p\u003e \u003cp\u003e\u003cb\u003e25 Optimal Peer-to-Peer Energy Trading Using Machine Learning: Architecture, Strategies, and Algorithms 635\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eNadya Noorfatima and Jaesung Jung\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e25.1 Introduction 635\u003c\/p\u003e \u003cp\u003e25.2 P2P Energy Trading Architecture 636\u003c\/p\u003e \u003cp\u003e25.3 ml Operation in P2P Energy Trading 646\u003c\/p\u003e \u003cp\u003e25.4 Simulation 650\u003c\/p\u003e \u003cp\u003e25.5 Conclusion 654\u003c\/p\u003e \u003cp\u003eReferences 654\u003c\/p\u003e \u003cp\u003e\u003cb\u003e26 Optimal Peer-to-Peer Power Sharing in DC Islanded Microgrids 657\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eRabia Khan and Noel N. Schulz\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e26.1 Introduction 657\u003c\/p\u003e \u003cp\u003e26.2 Modeling of Islanded DC Microgrid System 659\u003c\/p\u003e \u003cp\u003e26.3 Optimal Power Flow Problem Formulation of DC Islanded Microgrid System 662\u003c\/p\u003e \u003cp\u003e26.4 Results and Discussion 664\u003c\/p\u003e \u003cp\u003e26.5 Conclusion and Future Work 673\u003c\/p\u003e \u003cp\u003eAcknowledgment 675\u003c\/p\u003e \u003cp\u003eBibliography 675\u003c\/p\u003e \u003cp\u003e\u003cb\u003e27 Blockchain-Based Energy Trading Employing Hyperledger and Anomaly Detection Algorithms 679\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eZejia Jing, Ali Parizad, and Saifur Rahman\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e27.1 Introduction 679\u003c\/p\u003e \u003cp\u003e27.2 Literature Review 680\u003c\/p\u003e \u003cp\u003e27.3 Anomaly Detection 688\u003c\/p\u003e \u003cp\u003e27.4 Blockchain-Based Anomaly Detection Case Study 703\u003c\/p\u003e \u003cp\u003e27.5 Conclusion 709\u003c\/p\u003e \u003cp\u003eReferences 710\u003c\/p\u003e \u003cp\u003e\u003cb\u003e28 Optimal Coordination of VSC-Interfaced Subsystems to Safeguard the Frequency Performance of Cyber-Physical Power Systems 715\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eGeorgios Giannakopoulos, Arcadio Perilla Guerra, José Luis Rueda Torres, and Peter Palensky\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e28.1 Motivation and Scope of the Chapter 715\u003c\/p\u003e \u003cp\u003e28.2 The HVDC–HVAC Cyber-Physical Test Power System 716\u003c\/p\u003e \u003cp\u003e28.3 Statement of the Optimization of FFC for PEI 719\u003c\/p\u003e \u003cp\u003e28.4 Solution by Mean–Variance Optimization 720\u003c\/p\u003e \u003cp\u003e28.5 Simulation Analysis 722\u003c\/p\u003e \u003cp\u003e28.6 Concluding Reflections 724\u003c\/p\u003e \u003cp\u003eReferences 725\u003c\/p\u003e \u003cp\u003eIndex 727\u003c\/p\u003e\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eSubject Areas: Electronics \u0026amp; communications engineering [\u003ca title=\"See our other books on Electronics \u0026amp; communications engineering\" href=\"https:\/\/freshlyprintedbooks.co.uk\/search?q=%22Electronics%20\u0026amp;%20communications%20engineering%20%5BTJ%5D%22\"\u003eTJ\u003c\/a\u003e]\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\u003c\/font\u003e","brand":"Wiley-IEEE Press","offers":[{"title":"Brand New","offer_id":52433195139352,"sku":"9781394191499","price":94.39,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0730\/2037\/5320\/files\/9781394191499.jpg?v=1784851316","url":"https:\/\/freshlyprintedbooks.co.uk\/products\/smart-cyber-physical-power-systems-volume-1-fundamental-concepts-challenges-and-solutions-hardback-9781394191499","provider":"Freshly Printed Books","version":"1.0","type":"link"}