
Cyber-physical Resilience of Inverter-interfaced Power Grids
Attack, Defense, and Operation
Wiley-IEEE Press
1st Edition
Will be published approx. on 22. September 2026
Book
Hardback
448 pages
978-1-394-39718-1 (ISBN)
Description
Presents cybersecurity practices for inverter-interfaced power grids
Cyber-physical Resilience of Inverter-interfaced Power Grids delivers a comprehensive and systematic introduction to the cyber-physical resilience of inverter-interfaced power grids against cyber-attack incidents, covering three closely related and critical problems in the field: attack situation awareness, defense resource allocation, and operation region characterization.
Related state-of-the-art methods are introduced and illustrated in detail with hands-on examples so that readers can learn how to use them to address realistic problems and improve today's practices. This book also includes information on:
Catastrophic cyber-vulnerabilities that contribute to tiny-attack-high-impact phenomena in inverter-interfaced power grids, helping readers quantify attack-induced losses in grid security, stability, and efficiency
Spatial-temporal defense strategies with not only event-triggered responses as attacks unfold over time but also collaborative mechanisms as attacks spread across regions, yielding cost-benefit trade-off for conflicting cyber-stakeholders
Geometrical properties of cyber insecurity regions and physical security regions, particularly in the context of the paradigm shift of cyber-physical resilience towards inverter-interfaced power grids
Cyber-physical Resilience of Inverter-interfaced Power Grids contains the latest knowledge on the subject for academics in the fields of cyber-physical systems, renewable energy integration, and power systems engineering, power grid operators, cybersecurity professionals within the energy sector, and policy-makers responsible for regulatory frameworks on cybersecurity.
Cyber-physical Resilience of Inverter-interfaced Power Grids delivers a comprehensive and systematic introduction to the cyber-physical resilience of inverter-interfaced power grids against cyber-attack incidents, covering three closely related and critical problems in the field: attack situation awareness, defense resource allocation, and operation region characterization.
Related state-of-the-art methods are introduced and illustrated in detail with hands-on examples so that readers can learn how to use them to address realistic problems and improve today's practices. This book also includes information on:
Catastrophic cyber-vulnerabilities that contribute to tiny-attack-high-impact phenomena in inverter-interfaced power grids, helping readers quantify attack-induced losses in grid security, stability, and efficiency
Spatial-temporal defense strategies with not only event-triggered responses as attacks unfold over time but also collaborative mechanisms as attacks spread across regions, yielding cost-benefit trade-off for conflicting cyber-stakeholders
Geometrical properties of cyber insecurity regions and physical security regions, particularly in the context of the paradigm shift of cyber-physical resilience towards inverter-interfaced power grids
Cyber-physical Resilience of Inverter-interfaced Power Grids contains the latest knowledge on the subject for academics in the fields of cyber-physical systems, renewable energy integration, and power systems engineering, power grid operators, cybersecurity professionals within the energy sector, and policy-makers responsible for regulatory frameworks on cybersecurity.
More details
Language
English
Place of publication
United States
Publishing group
John Wiley & Sons Inc
Target group
Professional and scholarly
ISBN-13
978-1-394-39718-1 (9781394397181)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Persons
Jiazuo Hou, Associate Professor, State Key Laboratory of Autonomous Intelligent Unmanned Systems, Shanghai Institute of Intelligent Science and Technology, Tongji University, China.
Shunbo Lei, Assistant Professor, School of Science and Engineering, The Chinese University of Hong Kong (Shenzhen), Longgang, Shenzhen, Guangdong, China.
Wei Sun, Professor, Department of Electrical and Computer Engineering, University of Central Florida, FL, USA.
Francis Y. Hou, Associate Professor, The Bradley Department of Electrical & Computer Engineering, Virginia Polytechnic Institute and State University, VA, USA.
Shunbo Lei, Assistant Professor, School of Science and Engineering, The Chinese University of Hong Kong (Shenzhen), Longgang, Shenzhen, Guangdong, China.
Wei Sun, Professor, Department of Electrical and Computer Engineering, University of Central Florida, FL, USA.
Francis Y. Hou, Associate Professor, The Bradley Department of Electrical & Computer Engineering, Virginia Polytechnic Institute and State University, VA, USA.
Author
Chinese University of Hong Kong, Shenzhen, China
University of Central Florida, FL
University of Hong Kong, Pokfulam, Hong Kong