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Produktbild: Power Grid Resilience Against Natural Disasters

Power Grid Resilience Against Natural Disasters Preparedness, Response, and Recovery

Aus der Reihe IEEE Press

Fr. 189.00

inkl. gesetzl. MwSt., Versandkostenfrei

Beschreibung

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

07.12.2022

Verlag

John Wiley & Sons

Seitenzahl

336

Maße (L/B/H)

23.5/15.7/2.3 cm

Gewicht

638 g

Auflage

1. Auflage

Sprache

Englisch

ISBN

978-1-119-80147-4

Beschreibung

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

07.12.2022

Verlag

John Wiley & Sons

Seitenzahl

336

Maße (L/B/H)

23.5/15.7/2.3 cm

Gewicht

638 g

Auflage

1. Auflage

Sprache

Englisch

ISBN

978-1-119-80147-4

Herstelleradresse

Libri GmbH
Europaallee 1
36244 Bad Hersfeld
DE

Email: gpsr@libri.de

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  • Produktbild: Power Grid Resilience Against Natural Disasters

  • 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

    Trim Size: 152mm x 229mm Single Column Lei801474 ftoc.tex V1 - 10/31/2022 4:04pm Page viii

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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

    3.4 Solution Algorithms 67

    3.4.1 Scenario Generation and Reduction 68

    3.4.2 Dijkstra's Shortest-Path Algorithm 69

    3.4.3 Scenario Decomposition Algorithm 69

    3.5 Case Studies 70

    3.5.1 Test System Introduction 70

    3.5.2 Demonstration of the Proposed Dispatch Method 71

    3.5.3 Capacity Utilization Rate 73

    3.5.4 Importance of Considering Traffic Issue and Preallocation 75

    3.5.5 Compu