Smart Cyber-Physical Power Systems, Volume 2

Solutions from Emerging Technologies

Ali Parizad, Hamid Reza Baghaee, Saifur Rahman

• Publisher: Wiley-IEEE Press
• Year: 2025
• Print ISBN:
  9781394334568
• Edition: 1
• eBook ISBN:
  9781394334582
• Topic: Technology & Engineering
• Subtopic: Artificial Intelligence (AI) & Semantics
• Index: Technology & Engineering

A practical roadmap to the application of artificial intelligence and machine learning to power systems

In an era where digital technologies are revolutionizing every aspect of power systems, Smart Cyber-Physical Power Systems, Volume 2: Solutions from Emerging Technologies shifts focus to cutting-edge solutions for overcoming the challenges faced by cyber-physical power systems (CPSs). By leveraging emerging technologies, this volume explores how innovations like artificial intelligence, machine learning, blockchain, quantum computing, digital twins, and data analytics are reshaping the energy sector.

This volume delves into the application of AI and machine learning in power system optimization, protection, and forecasting. It also highlights the transformative role of blockchain in secure energy trading and digital twins in simulating real-time power system operations. Advanced big data techniques are presented for enhancing system planning, situational awareness, and stability, while quantum computing offers groundbreaking approaches to solving complex energy problems.

For professionals and researchers eager to harness cutting-edge technologies within smart power systems, Volume 2 proves indispensable. Filled with numerous illustrations, case studies, and technical insights, it offers forward-thinking solutions that foster a more efficient, secure, and resilient future for global energy systems, heralding a new era of innovation and transformation in cyber-physical power networks.

Welcome to the exploration of Smart Cyber-Physical Power Systems (CPPSs), where challenges are met with innovative solutions, and the future of energy is shaped by the paradigms of AI/ML, Big Data, Blockchain, IoT, Quantum Computing, Information Theory, Edge Computing, Metaverse, DevOps, and more.

Table of contents

• Cover
• Table of Contents
• Title Page
• Copyright
• Dedication
• About the Editors
• List of Contributors
• Foreword (John D. McDonald)
• Foreword (Massoud Amin)
• Preface for Volume 2: Smart Cyber-Physical Power Systems: Solutions from Emerging Technologies
• Acknowledgments
• 1 Information Theory and Gray Level Transformation Techniques in Detecting False Data Injection Attacks on Power System State Estimation
• 2 Artificial Intelligence and Machine Learning Applications in Modern Power Systems*
• 3 Physics-Informed Deep Reinforcement Learning-Based Control in Power Systems
• 4 Digital Twin Approach Toward Modern Power Systems
• 5 Application of AI and Machine Learning Algorithms in Power System State Estimation
• 6 ANN-Based Scenario Generation Approach for Energy Management of Smart Buildings
• 7 Protection Challenges and Solutions in Power Grids by AI/Machine Learning
• 8 Deep and Reinforcement Learning for Active Distribution Network Protection
• 9 Handling and Application of Big Data in Modern Power Systems for Planning, Operation, and Control Processes
• 10 Handling and Application of Big Data in Modern Power Systems for Situational Awareness and Operation
• 11 Data-Driven Methods in Modern Power System Stability and Security
• 12 Application of Quantum Computing for Power Systems
• 13 High-Resolution Building-Level Load Forecasting Employing Convolutional Neural Networks (CNNs) and Cloud Computing Techniques: Part 1 Principles and Concepts
• 14 High-Resolution Building-Level Load Forecasting Employing Convolutional Neural Networks (CNNs) and Cloud Computing Techniques: Part 2 Simulation and Experimental Results
• 15 PV Energy Forecasting Applying Machine Learning Methods Targeting Energy Trading Systems
• 16 An Intelligent Reinforcement-Learning-Based Load Shedding to Prevent Voltage Instability
• 17 Deep Learning Techniques for Solving Optimal Power Flow Problems
• 18 Research on Intelligent Prediction of Spatial–Temporal Dynamic Frequency Response and Performance Evaluation
• 19 Emerging Technologies and Future Trends in Cyber-Physical Power Systems: Toward a New Era of Innovations
• Index
• End User License Agreement