Fundamentals of Power System Resilience (eBook)

Disruptions by Natural Causes

Mathaios Panteli, Rodrigo Moreno, Dimitris Trakas, Magnus Jamieson, Pierluigi Mancarella, Goran Strbac, Nikos Hatziargyriou (Autoren)

eBook Download: EPUB

2026
404 Seiten
Wiley-IEEE Press (Verlag)
978-1-119-81602-7 (ISBN)

Infos

Comprehensive resource focusing on natural hazards and their impact on power systems, with case studies and tutorials included

Fundamentals of Power System Resilience is the first book to cover the topic of power system resilience in a holistic manner, ranging from novel conceptual frameworks for understanding the concept, to advanced assessment and quantifying techniques, to optimization planning algorithms and regulatory frameworks towards resilient power grids. The text explicitly addresses the needs and challenges of current network planning and operation standards and examines the steps and standard amendments needed to achieve low-carbon, resilient power systems. Practically, it provides frameworks to assess resilience in operation and planning and relevant quantification metrics.

Case studies from around the world (real data and project developments as well as simulations) including windstorms, wildfires, floods, earthquakes, blackouts, and brownouts, etc. are included, with applications from the UK, Chile, Australia, and Greece.

In Fundamentals of Power System Resilience, readers can expect to find specific information on:

• Classical reliability standards, covering the changing energy landscape and limitations of existing reliability-driven network planning and operation standards
• How resilience is interpreted in the power systems community, and characterizations and differentiation of threats
• Spatiotemporal impact assessment of external shocks on power systems, trapezoid applications to different events of different time-scales, and AC cascading models for resilience applications
• Conventional approaches to asset failure data representation and modeling of the relationship between weather/asset outages

Fundamentals of Power System Resilience provides fundamental knowledge of the subject and is an excellent supplementary reference for final undergraduates and postgraduate students due to its mix of basic and advanced content and tutorial-like exercises. It is also essential for regulators and practitioners for shaping the future resilient power systems.

Mathaios Panteli, Assistant Professor, University of Cyprus.

Rodrigo Moreno, Assistant Professor, University of Chile.

Dimitris Trakas, Senior Researcher, National Technical University of Athens, Greece.

Magnus Jamieson, Research Associate, Imperial College London, UK.

Pierluigi Mancarella, Chair Professor of Electrical Power Systems, University of Melbourne, Australia, and Professor of Smart Energy Systems, University of Manchester, UK.

Goran Strbac, Chair Professor in Electrical Energy Systems, Imperial College London, UK.

Nikos Hatziargyriou, Professor in Power Systems, National Technical University of Athens, Greece.

Textauszug

Preface

As power systems globally undergo a profound transformation driven by decarbonisation, digitalisation, and the growing integration of renewable energy sources, the need to move beyond traditional reliability standards towards risk-aware, resilience-focused strategies is becoming increasingly urgent. Extreme weather, natural disasters, and other high-impact, low-probability events are exposing the vulnerabilities of modern power systems, urging for new approaches that combine robustness, adaptability, and rapid recovery. This book addresses explicitly these challenges by providing a comprehensive exploration of the fundamentals of power system resilience, from conceptual frameworks and metrics to advanced modeling approaches, operational measures, and the exploitation of distributed energy resources such as microgrids. It also examines the critical roles of investment strategies, policy, regulation, and market design in shaping resilient energy futures. Through theoretical insights, practical tools, and real-world case studies, the book equips researchers, practitioners, and policymakers with the knowledge needed to design and operate power systems capable of withstanding and adapting to an increasingly uncertain world.

This book brings together more than 15 years of close collaborative work among the co-authors, who have pioneered the topic of resilience in the context of power systems. Drawing on their experience in leading international research projects, developing advanced methodologies, and engaging with utilities, regulators, and policymakers, the authors bring a unique blend of academic rigor and real-world insight. The content reflects not only theoretical progress but also lessons learned from practical applications, case studies, and industry partnerships, making the book both a research reference and a guide for practitioners seeking to strengthen the resilience of modern power systems.

Chapter 1 introduces the scope of power systems resilience, and examines the transition from reliability-centered frameworks to resilience-focused strategies in power systems. It initiates the discussion by highlighting that conventional N-1 and N-2 reliability standards are proving insufficient against high-impact, low-probability (HILP) events such as extreme weather and natural disasters. Resilience, by contrast, stresses robustness, adaptability, and rapid recovery to ensure systems can endure and bounce back from such shocks. After reviewing historical reliability practices, both deterministic and probabilistic, the chapter highlights the need for risk-aware approaches. It then outlines the book's structure, including resilience metrics, data challenges, investment and operational measures, the role of distributed energy resources and microgrids, and the influence of policy and regulation.

Building on Chapter 1, Chapter 2 then explores the shocks and stresses affecting the critical power infrastructure, showing how their combined effects can undermine resilient performance. It reviews common definitions of reliability before introducing key definitions of power system resilience, clarifying the frequent confusion between the two. Resilience is presented as a multi-dimensional concept, with essential capacities for withstanding, absorbing, and rapidly recovering from high-impact, low-probability events. The chapter then introduces popular resilience frameworks, such as the resilience triangle and trapezoid, and links them to core resilience features. It concludes with a discussion of different resilience types, including infrastructure, operational, and organizational.

Laying on the foundations of Chapter 1 and 2, Chapter 3 introduces the need for resilience metrics in the power sector and presents a quantification framework based on the resilience trapezoid from Chapter 2, with a focus on the multi-temporal and multi-spatial resilience metric systems. A detailed example on a simplified UK transmission network demonstrates step-by-step system-level resilience assessment. The chapter then examines risk metrics to better capture tail risks and black swan events, before presenting a novel cascading model that simulates climate-induced outages and their propagation. Illustrative results show how the model integrates seamlessly with established resilience frameworks.

Chapter 4 then presents methodologies for integrating failure rate, network-branch, and weather data to quantify and visualise overhead line failure probabilities. These are linked with wind power projections to assess the interplay between power transport risks and generation availability during extreme wind events. A case study on the Northern Scottish transmission network demonstrates the approach through a simple Monte Carlo simulation, with exemplar results provided. The chapter also addresses data ambiguity – the uncertainty inherent in statistical models connecting natural hazards to component failure probabilities. While not a full system risk analysis, the examples lay the groundwork for risk calculation methods, supported by pseudocode and practical illustrations.

Chapter 5 examines strategies to strengthen power system resilience against natural hazards, incorporating high-impact, low-probability events into investment planning. It introduces mathematical models for resilient network design and highlights the need for balanced investment across grid expansion, infrastructure hardening, and smart technologies. Probabilistic tools and risk metrics such as Conditional Value at Risk (CVaR) are emphasized, alongside stochastic and robust optimization approaches. The chapter also distinguishes resilience from traditional reliability, proposes a holistic planning framework, and considers fairness in investment decisions. Finally, it explores the roles of distributed energy resources, non-wire solutions, long-term storage, and climate change impacts in shaping future resilient energy systems, offering guidance for planners and policymakers.

Chapter 6 focuses on operational measures that enhance power system resilience through “smart” control actions. While such measures cannot prevent physical damage from external threats, they can mitigate outages and help avoid widespread blackouts. The discussion covers resilience strategies across all phases of extreme events, modeling their impacts on system operation. It also examines machine learning applications and the challenges of operating low-inertia, renewable-rich grids under stress. Case studies, including preventive unit commitment and defensive islanding, illustrate the effectiveness of these approaches. Complementing Chapter 6, Chapter 7 examines the role of Distributed Energy Resources, with a focus on microgrids (MGs), as a key operational measure for strengthening power system resilience. MGs can operate either grid-connected or islanded, supporting resilience before, during, and after extreme events. Practical examples from past natural disasters are reviewed, along with a basic framework for MG formation as a preventive or corrective measure. The chapter also addresses the use of MGs in system restoration, the challenges of restoring MGs themselves, and optimal resource scheduling to enable feasible islanding with minimal consumer disruption.

Concluding the book, Chapter 8 examines the economic, market, regulatory, and policy dimensions of power system resilience, supported by real-world case studies. It highlights how the shift to low-carbon, weather-dependent energy systems can increase grid fragility, creating a need for new standards, techno-economic models, and decision-making tools to address security, reliability, and resilience. Beyond network resilience, the chapter considers resource adequacy and generation resilience, raising questions about the roles of technical, market, regulatory, and governmental instruments in achieving resilience objectives, shaped by stakeholder risk attitudes. In the context of global decarbonisation and more frequent climate-driven hazards, we also explore the interplay between decarbonisation policies and resilience, and the opportunities offered by distributed energy resources and grid digitalisation.

Next to the co-authors of the book, there are many researchers who have contributed to the material of this book by their knowledge, research efforts and fruitful collaborations over the years. We are indebted to all of them, but we feel obliged to refer to some of them individually and apologize in advance for the names we might forget. We would like to start by thanking Robin Preece, Matthias Noebels, Yitian Dai, Balaji Venkatasubramanian, Seyedsina Hashemi, Marios Shimillas and Georgios Paphitis, and the members of the CIGRE Working Group C4.47 “Power System Resilience” (particularly Andrea Pitto, Diego Cirio and Emanuele Ciapessoni, RSE Italy) for the fruitful discussions on defining and conceptualizing resilience. We would also like to acknowledge the contributions of Farshad Mohammadi and Mostafa Sahraei-Ardakani for their leading contributions to the research on applying machine learning techniques to enhance resilience, Ektor-Ioannis E Stasinos for his contribution to the research on the role of microgrids in power system resilience and Kaiyuan Pang for his fundamental contributions in Microgrids formation. We would also like to thank Jacob Kelly, Keith Bell and Simon Tindemans for their support and contributions on data and fragility analysis of power systems. We are also grateful to the researchers involved in and around the Newton-Picarte project, whose work ultimately led to the Newton Prize awarded by the UK Government, particularly Hugh Rudnick, Duncan Shaw,...

Produkt-Details

• Erscheint lt. Verlag: 5.1.2026
• Sprache: englisch
• Themenwelt: Naturwissenschaften ► Physik / Astronomie
• Themenwelt: Technik ► Elektrotechnik / Energietechnik
• Schlagworte: critical infrastructures • distributed energy resources • low carbon power systems • Network planning • Operational Planning • Power Systems • power systems disruption • Regulatory Standards • Resilience • resiliency • Smart Grids
• ISBN-10: 1-119-81602-5 / 1119816025
• ISBN-13: 978-1-119-81602-7 / 9781119816027