Smart Grid Resilience Extreme Weather, Cyber-Physical Security, and System Interdependency

This book provides a comprehensive overview and in-depth discussion of smart grid resilience. It covers the three most critical resilience problems facing smart grids—resilience against extreme weather, resilience against cyber-physical attacks, and resilience under system inter-dependency. Each of...

Full description

Bibliographic Details
Main Author: Qi, Junjian
Format: eBook
Language:English
Published: Cham Springer International Publishing 2023, 2023
Edition:1st ed. 2023
Subjects:
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
LEADER 03705nmm a2200373 u 4500
001 EB002168025
003 EBX01000000000000001305357
005 00000000000000.0
007 cr|||||||||||||||||||||
008 230704 ||| eng
020 |a 9783031292903 
100 1 |a Qi, Junjian 
245 0 0 |a Smart Grid Resilience  |h Elektronische Ressource  |b Extreme Weather, Cyber-Physical Security, and System Interdependency  |c by Junjian Qi 
250 |a 1st ed. 2023 
260 |a Cham  |b Springer International Publishing  |c 2023, 2023 
300 |a XIV, 285 p. 1 illus  |b online resource 
505 0 |a Part 1: Extreme Weather and Cascading Failure -- Chapter 1. Cascading Failures Under Extreme Temperatures -- Chapter 2. Cascading Failure Interaction Analysis -- Chapter 3. Integrated Preventive and Emergency Responses -- Part 2: Cybersecurity of Smart Grid Monitoring -- Chapter 4. Risk Mitigation against Cyber Attacks Based on Dynamic State Estimation -- Chapter 5. Comparing Kalman Filters and Observers against Cyber Attacks -- Chapter 6. Self-Healing PMU Network against Cyber Attacks -- Part 3: Cyber-Physical Security for Distributed Energy Resources -- Chapter 7. Cyber-Physical Security Research Framework for Distributed Energy Resources -- Chapter 8. Distributed Load Sharing under Cyber Attacks -- Chapter 9. Deep Learning Based Attack Detection for Microgrid Control -- Part 4: Smart Grid Resilience under System Interdependency -- Chapter 10. Interdependency between Power System Outages by Branching Process -- Chapter 11. Interdependency between Power System Outages by Coupled Interaction Model -- Chapter 12. Interdependency between Smart Grid and Transportation Network 
653 |a Electric power-plants 
653 |a Electric power production 
653 |a Electric power distribution 
653 |a Energy Grids and Networks 
653 |a Cyber-Physical Systems 
653 |a Electrical Power Engineering 
653 |a Power Stations 
653 |a Energy policy 
653 |a Cooperating objects (Computer systems) 
653 |a Energy Policy, Economics and Management 
653 |a Energy and state 
041 0 7 |a eng  |2 ISO 639-2 
989 |b Springer  |a Springer eBooks 2005- 
028 5 0 |a 10.1007/978-3-031-29290-3 
856 4 0 |u https://doi.org/10.1007/978-3-031-29290-3?nosfx=y  |x Verlag  |3 Volltext 
082 0 |a 321.319 
520 |a This book provides a comprehensive overview and in-depth discussion of smart grid resilience. It covers the three most critical resilience problems facing smart grids—resilience against extreme weather, resilience against cyber-physical attacks, and resilience under system inter-dependency. Each of these topics increases the risk of large-scale system-wide cascading failures. In-depth chapters allow the reader to define and quantify the smart grid’s ability to deal with extreme events and the critical infrastructures systems that connect it. Methods for improving system design are introduced along with effective strategies for protecting the system with minimal disruption of power supply and economic and social losses in extreme conditions. Smart Grid Resilience: Extreme Weather, Cyber-Physical Security, and System Interdependency is an essential guide for a broad audience of practicing professionals, including policymakers, electric utility engineers, and transmissionand distribution system operators. It will also be a valuable reference for students and researchers. Provides the most comprehensive and up-to-date overview of smart grid resilience; Reveals the most important vulnerabilities and develops corresponding risk mitigation strategies; Discusses system-wide cascading failure modeling and investigation