Shunbo Lei, Chong Wang, Yunhe Hou

Power Grid Resilience Against Natural Disasters

Preparedness, Response, and Recovery

• Gebundenes Buch

Produktbeschreibung

POWER GRID RESILIENCE AGAINST NATURAL DISASTERS

How to protect our power grids in the face of extreme weather events

The field of structural and operational resilience of power systems, particularly against natural disasters, is of obvious importance in light of climate change and the accompanying increase in hurricanes, wildfires, tornados, frigid temperatures, and more. Addressing these vulnerabilities in service is a matter of increasing diligence for the electric power industry, and as such, targeted studies and advanced technologies are being developed to help address these issues generally--whether they be from the threat of cyber-attacks or of natural disasters.

Power Grid Resilience against Natural Disasters provides, for the first time, a comprehensive and systematic introduction to resilience-enhancing planning and operation strategies of power grids against extreme events. It addresses, in detail, the three necessary steps to ensure power grid success: the preparedness prior to natural disasters, the response as natural disasters unfold, and the recovery after the event. Crucially, the authors put forward state-of-the-art methods towards improving today's practices in managing these three arenas.

Power Grid Resilience against Natural Disasters readers will also find:
_ Data, tables, and illustrations to supplement and clarify the points put forward in each chapter
_ Case studies on realistic power systems and industry standards and practices related to the topics covered
_ Potential to be a supplementary text in advanced level power engineering courses

Power Grid Resilience against Natural Disasters will be of interest to specialists and engineers, as well as planners and operators from industry. It can also be a useful resource for senior undergraduate students, postgraduate students, researchers, and research libraries. More, it will appeal to all readers with a strong background in power system analysis, operation and control, optimization methods, the Markov decision process, and probability and statistics.

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Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.

Produktdetails

• IEEE Press
• Verlag: Wiley & Sons / Wiley-IEEE Press
• Artikelnr. des Verlages: 1W119801470
• 1. Auflage
• Seitenzahl: 336
• Erscheinungstermin: 30. November 2022
• Englisch
• Abmessung: 235mm x 157mm x 23mm
• Gewicht: 652g
• ISBN-13: 9781119801474
• ISBN-10: 1119801478
• Artikelnr.: 62844122

Autorenporträt

Shunbo Lei, PhD, is an Assistant Professor in the School of Science and Engineering at the Chinese University of Hong Kong, Shenzhen, China. Chong Wang, PhD, is a Professor in the College of Energy and Electrical Engineering at Hohai University, Nanjing, China. Yunhe Hou, PhD, is an Associate Professor in the Department of Electrical and Electronic Engineering at the University of Hong Kong, Pokfulam, Hong Kong.

Inhaltsangabe

About the Authors xv

Preface xvii

Acknowledgments xxiii

Part I Introduction 1

1 Introduction 3

1.1 Power Grid and Natural Disasters 3

1.2 Power Grid Resilience 4

1.2.1 Definitions 4

1.2.2 Importance and Benefits 6

1.2.2.1 Dealing withWeather-Related Disastrous Events 6

1.2.2.2 Facilitating the Integration of Renewable Energy Sources 7

1.2.2.3 Dealing with Cybersecurity-Related Events 8

1.2.3 Challenges 9

1.3 Resilience Enhancement Against Disasters 12

1.3.1 Preparedness Prior to Disasters 12

1.3.1.1 Component-Level Resilience Enhancement 13

1.3.1.2 System-Level Resilience Enhancement 14

1.3.2 Response as Disasters Unfold 14

1.3.2.1 System State Acquisition 15

1.3.2.2 Controlled Separation 16

1.3.3 Recovery After Disasters 17

1.3.3.1 Conventional Recovery Process 17

1.3.3.2 Microgrids for Electric Service Recovery 18

1.3.3.3 Distribution Grid Topology Reconfiguration 18

1.4 Coordination and Co-Optimization 20

1.5 Focus of This Book 22

1.6 Summary 23

References 23

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viii Contents

Part II Preparedness Prior to a Natural Disaster 35

2 Preventive Maintenance to Enhance Grid Reliability 37

2.1 Component- and System-Level Deterioration Model 37

2.1.1 Component-Level Deterioration Transition Probability 38

2.1.2 System-Level Deterioration Transition Probability 40

2.1.3 Mathematical Model without Harsh External Conditions 40

2.2 Preventive Maintenance in Consideration of Disasters 41

2.2.1 Potential Disasters Influencing Preventive Maintenance 41

2.2.2 Preventive Maintenance Model with Disasters Influences 42

2.2.2.1 Probabilistic Model of Repair Delays Caused By Harsh External

Conditions 42

2.2.2.2 Activity Vectors Corresponding to Repair Delays 42

2.2.2.3 Expected Cost 43

2.3 Solution Algorithms 44

2.3.1 Backward Induction 44

2.3.2 Search Space Reduction Method 44

2.4 Case Studies 45

2.4.1 Data Description 45

2.4.2 Case I: Verification of the Proposed Model 45

2.4.2.1 Verifying the Model Using Monte Carlo Simulations 46

2.4.2.2 Selection of Optimal Maintenance Activities 47

2.4.2.3 Influences of Harsh External Conditions on Maintenance 48

2.4.3 Case II: Results Simulating the Zhejiang Electric Power Grid 48

2.5 Summary and Conclusions 51

Nomenclature 52

References 53

3 Preallocating Emergency Resources to Enhance Grid

Survivability 55

3.1 Emergency Resources of Grids against Disasters 55

3.2 Mobile Emergency Generators and Grid Survivability 58

3.2.1 Microgrid Formation 59

3.2.2 Preallocation and Real-Time Allocation 59

3.2.3 Coordination with Conventional Restoration Procedures 60

3.3 Preallocation Optimization of Mobile Emergency Generators 61

3.3.1 A Two-Stage Stochastic Optimization Model 61

3.3.2 Availability of Mobile Emergency Generators 66

3.3.3 Connection of Mobile Emergency Generators 66

3.3.4 Coordination of Multiple Flexibility in Microgrids 67

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Contents ix