Overview

Guidance for security-oriented management of operational technology and insights on new cyber-physical security solutions for smart grids and renewable energy Cyber-Physical Security and Resilience for Smart Grids and Renewable Energy describes state-of-the-art technologies of cyber security approaches to increase the resilience of cyber-physical infrastructures used by power grids. It begins by presenting fundamental knowledge of cyber security, computer networks, and current physical processes of power systems with the integration of distributed energy resources. By studying the forensic analysis of representative security incidents in power grids, the author explains the fundamental construction and emerging challenges unique to today’s power grids. Cyber-Physical Security and Resilience for Smart Grids and Renewable Energy includes information on: Security methods retrofitted according to domain-specific knowledge of power systems and distributed energy resources Possible solutions from the perspectives of systems specification, system modeling, network programming, and formal verification Real attack incidents and outage accidents caused by cyber-physical attacks and disruption against smart grids Cyber-Physical Security and Resilience for Smart Grids and Renewable Energy is an excellent resource for students and engineers seeking guidance for security-oriented management of operational technology. It also serves as a starting point for academic researchers exploring new cyber-physical security solutions.

Full Product Details

Author:   Hui Lin (University of Rhode Island)
Publisher:   John Wiley & Sons Inc
Imprint:   Wiley-IEEE Press
ISBN:  

9781394298341

ISBN 10:   139429834
Pages:   144
Publication Date:   14 December 2025
Audience:   Professional and scholarly ,  College/higher education ,  Professional & Vocational ,  Postgraduate, Research & Scholarly
Format:   Hardback
Publisher's Status:   Active
Availability:   Out of stock  
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Table of Contents

About the Series Editor x Preface xi Acronyms xiii 1 Introduction 1 1.1 Cyber-Physical Perspectives of Smart Grids 1 1.2 Grid Integrated with Renewable Energy 3 1.3 Emergence of Cyber-Physical Attacks 4 1.4 Topics Covered 5 1.5 Target Audience 7 2 Computer Network Primer 9 2.1 Internet Overview 9 2.2 Application Layer 11 2.3 Transport Layer 12 2.4 Network Layer 14 3 Fundamentals of Cybersecurity 17 3.1 Cybersecurity Concept 17 3.2 Cryptography Systems 19 3.3 Cryptography Hash 26 3.4 Random Number Generators 27 3.5 Toward Quantum Computing Era 28 4 Fundamentals of Power Grid Control and Operations 31 4.1 Physical Model of Control Systems 31 4.2 Power System Analysis Overview 32 4.3 Power Flow Analysis Solvers 35 4.4 Power System Application 38 5 Communications Network Infrastructure for Smart Grids 41 5.1 Industrial Control Network Infrastructures 41 5.2 Industrial Network Protocols 46 6 Cyber-Physical Attacks and Disruption Against Smart Grids 55 6.1 Analysis of Real Incidents 55 6.2 Threat Analysis for Smart Grids 62 7 Cyber Defense to Increase Smart Grids Resilience 71 7.1 Attack Detection in Industrial Control Systems 71 7.2 Attack Recovery in ICSs 81 7.3 Preemptive Protection 83 8 AI for Smart Grid Resilience: Opportunities and Challenges 91 8.1 Transition to Artificial Intelligence Era 91 8.2 Artificial Intelligence on Power Grid Applications 92 8.3 Physics-informed AI 97 8.4 AI Applications to Power Grids 100 9 Resilience of Smart Grids Enhanced with Renewable Energy 105 9.1 Power Plants Integrated with Renewable Energy 105 9.2 Distributed Energy Resource-involved Control Operations 109 9.3 From DERs to Inverter-based Resources 111 9.4 Resilience Challenge from IBRs 114 9.5 Security Measures Against IBR-specific Attacks 117 10 Conclusion and Future Direction 121 Index 125

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Author Information

Hui Lin, PhD, is an Associate Professor in the Electrical, Computer, and Biomedical Engineering Department at the University of Rhode Island. His research interests include system/network security, intrusion detection, cyber-physical systems, Internet of Things, software-defined networking, and cloud computing.

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