Resiliency of Power Distribution Systems (eBook, ePUB)

Redaktion: Srivastava, Anurag K.; Chanda, Sayonsom; Liu, Chen-Ching

• Format: ePub

Produktbeschreibung

RESILIENCY OF POWER DISTRIBUTION SYSTEMS A revolutionary book covering the relevant concepts for resiliency-focused advancements of the distribution power grid Most resiliency and security guidelines for the power industry are focused on power transmission systems. As renewable energy and energy storage increasingly replace fossil-fuel-based power generation over the coming years, geospatially neighboring distributed energy resources will supply a majority of consumers and provide clean power through long transmission lines. These electric power distribution systems--the final stage in the delivery of electric power--carry electricity from the transmission system to individual consumers. New distributed devices will be essential to the grid to manage this variable power generation and enhance reliability and resilience while keeping electricity affordable as the world seeks solutions to climate change and threats from extreme events. In Resiliency of Power Distribution Systems, readers are provided with the tools to understand and enhance resiliency of distribution systems--and thereby, the entire power grid. In a shift from the present design and operation of the power system, the book is focused on improving the grid's ability to predict, adapt, and respond to all hazards and threats. This, then, acts as a guide to ensure that any incident can be mitigated and responded to promptly and adequately. It also highlights the most advanced and applicable methodologies and architecture frameworks that evaluate degradation, advance proactive action, and transform system behavior to maintain normal operation, under extreme operating conditions. Resiliency of Power Distribution Systems readers will also find: * Chapter organization that facilitates quick review of distribution fundamental and easy-but-thorough understanding of the importance of resiliency * Real-world case studies where resilient power systems could have prevented massive financial and energy losses * Frameworks to help mitigate cyber-physical attacks, strategize response on multiple timescales, and optimize operational efficiencies and priorities for the power grid Resiliency of Power Distribution Systems is a valuable reference for power system professionals including electrical engineers, utility operators, distribution system planners and engineers, and manufacturers, as well as members of the research community, energy market experts and policy makers, and graduate students on electrical engineering courses.

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Produktdetails

• Verlag: John Wiley & Sons
• Seitenzahl: 400
• Erscheinungstermin: 3. November 2023
• Englisch
• ISBN-13: 9781119418726
• Artikelnr.: 69438289

Autorenporträt

Anurag K. Srivastava, PhD, is the Raymond J. Lane Professor and Chairperson with the Department of Computer Science and Electrical Engineering at West Virginia University, USA. He is the Director of the Smart Grid Resiliency and Analytics Lab (SG-REAL) and a renowned figure in the area of distribution systems resiliency. Chen-Ching Liu, PhD, is an American Electric Power Professor and Director, Power and Energy Center, at Virginia Tech, USA. As a Member of the U.S. National Academy of Engineering, Dr. Liu is a widely-recognized leader in smart and resilient distribution systems in the power and energy community. Sayonsom Chanda, PhD, is a Researcher at the National Renewable Energy Laboratory in Golden, Colorado, USA. He also founded sustainability-focused startups - Sync Energy to serve resiliency analytics to large and mid-size electric utilities in North America.

Inhaltsangabe

About the Editors xv

List of Contributors xvii

Foreword xxi

Part I Foundation 1

1 Concepts of Resiliency 3
Sayonsom Chanda, Anurag K. Srivastava, and Chen-Ching Liu

1.1 Introduction 3

1.2 Resilience of Complex Systems 4

1.3 Related Terms and Definitions for Power System 7

1.4 Need for Grid Resiliency 10

1.5 Resiliency of Power Distribution Systems 12

1.6 Taxonomy of Resiliency 16

1.7 Tools for Enabling Resiliency 23

1.8 Summary 28

2 Measuring Resiliency Using Integrated Decision-Making Approach 35
Sayonsom Chanda, Prabodh Bajpai, and Anurag K. Srivastava

2.1 Introduction 35

2.2 Feature to Measure Resiliency of Power Distribution System 37

2.3 Integrated Decision-Making Approach 40

2.4 Algorithm to Enable Resilient Power Distribution System 42

2.5 Case Study 45

2.6 Conclusion 57

3 Resilience Indices Using Markov Modeling and Monte Carlo Simulation 61
Mohammad Shahidehpour and Zhiyi Li

3.1 Introduction 61

3.2 Cyber-Physical Interdependencies in Power Distribution Systems 62

3.3 Resilience of Power Distribution Systems 66

3.4 Mathematical Model for Resilience Analysis 71

3.5 Simulation Results 86

3.6 Conclusions 96

4 Measuring and Enabling Resiliency for Microgrid Systems Against Cyber-attacks 101
Venkatesh Venkataramanan, Adam Hahn, and Anurag K. Srivastava

4.1 Introduction 101

4.2 Testbed Description for Validating Resilience Tools 102

4.3 Test System for Validating Cyber-Physical Resiliency 102

4.4 Dependencies Between Cyber and Physical Systems 106

4.5 Cyber-Attack Implementations 106

4.6 Cyber-Physical Resiliency Metrics and Tools - CyPhyR and CP-SAM 107

4.7 Case Studies for Cyber-Physical Resiliency Analysis 117

4.8 Summary 121

5 Resilience Indicators for Electric Power Distribution Systems 125
Julia Phillips and Frédéric Petit

5.1 Introduction 125

5.2 Motivations for Resilience Indicators 126

5.3 Decision Analysis Methodologies for Resilience Indicators 128

5.4 An Application to Electric Power Distribution Systems 134

5.5 FutureWork 138

5.6 Conclusion 138

6 Quantitative Model and Metrics for Distribution System Resiliency 143
Alexis Kwasinski

6.1 Power Grids Performance in Recent Natural Disasters 143

6.2 Resilience Modeling Framework 149

6.3 Quantitative Resilience Metrics for Electric Power Distribution Grids 154

7 Frameworks for Analyzing Resilience 163
Ted Brekken

7.1 Metrics 163

7.2 Risk Analysis Modeling 171

7.3 Power System Monte Carlo Analysis 180

7.4 Summary 181

Part II Enabling Resiliency 183

8 Resiliency-Driven Distribution Network Automation and Restoration 185
Yin Xu, Chen-Ching Liu, and Ying Wang

8.1 Optimal Placement of Remote-Controlled Switches for Restoration Capability Enhancement 185

8.2 Resiliency-Driven Distribution System Restoration Using Microgrids 188

8.3 Service Restoration Using DGs in a Secondary Network 196

8.4 Summary 205

9 Improving the Electricity Network Resilience by Optimizing the Power Grid 207
EngTseng Lau, Sandford Bessler, KokKeong Chai, Yue Chen, and Oliver Jung

9.1 Introduction 207

9.2 Microgrid Evaluation Tool 208

9.3 Overall Grid Modeling Tool 216

9.4 Conclusions 226

10 Robust Cyber Infrastructure for Cyber Attack Enabling Resilient Distribution Syst