{"product_id":"resiliency-of-power-distribution-systems-isbn-9781119418672","title":"Resiliency of Power Distribution Systems","description":"\u003cb\u003eRESILIENCY OF POWER DISTRIBUTION SYSTEMS\u003c\/b\u003e \u003cp\u003e\u003cb\u003eA revolutionary book covering the relevant concepts for resiliency-focused advancements of the distribution power grid\u003c\/b\u003e \u003c\/p\u003e\u003cp\u003eMost 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.  \u003c\/p\u003e\u003cp\u003eIn \u003ci\u003eResiliency of Power Distribution Systems,\u003c\/i\u003e 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.  \u003c\/p\u003e\u003cp\u003e\u003ci\u003eResiliency of Power Distribution Systems\u003c\/i\u003e readers will also find: \u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eChapter organization that facilitates quick review of distribution fundamental and easy-but-thorough understanding of the importance of resiliency\u003c\/li\u003e \u003cli\u003eReal-world case studies where resilient power systems could have prevented massive financial and energy losses\u003c\/li\u003e \u003cli\u003eFrameworks to help mitigate cyber-physical attacks, strategize response on multiple timescales, and optimize operational efficiencies and priorities for the power grid\u003c\/li\u003e\n\u003c\/ul\u003e \u003cp\u003e\u003ci\u003eResiliency of Power Distribution Systems\u003c\/i\u003e 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. \u003c\/p\u003e\u003cp\u003eAbout the Editors xv\u003c\/p\u003e \u003cp\u003eList of Contributors xvii\u003c\/p\u003e \u003cp\u003eForeword xxi\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart I Foundation 1\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e1 Concepts of Resiliency 3\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eSayonsom Chanda, Anurag K. Srivastava, and Chen-Ching Liu\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e1.1 Introduction 3\u003c\/p\u003e \u003cp\u003e1.2 Resilience of Complex Systems 4\u003c\/p\u003e \u003cp\u003e1.3 Related Terms and Definitions for Power System 7\u003c\/p\u003e \u003cp\u003e1.4 Need for Grid Resiliency 10\u003c\/p\u003e \u003cp\u003e1.5 Resiliency of Power Distribution Systems 12\u003c\/p\u003e \u003cp\u003e1.6 Taxonomy of Resiliency 16\u003c\/p\u003e \u003cp\u003e1.7 Tools for Enabling Resiliency 23\u003c\/p\u003e \u003cp\u003e1.8 Summary 28\u003c\/p\u003e \u003cp\u003e\u003cb\u003e2 Measuring Resiliency Using Integrated Decision-Making Approach 35\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eSayonsom Chanda, Prabodh Bajpai, and Anurag K. Srivastava\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e2.1 Introduction 35\u003c\/p\u003e \u003cp\u003e2.2 Feature to Measure Resiliency of Power Distribution System 37\u003c\/p\u003e \u003cp\u003e2.3 Integrated Decision-Making Approach 40\u003c\/p\u003e \u003cp\u003e2.4 Algorithm to Enable Resilient Power Distribution System 42\u003c\/p\u003e \u003cp\u003e2.5 Case Study 45\u003c\/p\u003e \u003cp\u003e2.6 Conclusion 57\u003c\/p\u003e \u003cp\u003e\u003cb\u003e3 Resilience Indices Using Markov Modeling and Monte Carlo Simulation 61\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eMohammad Shahidehpour and Zhiyi Li\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e3.1 Introduction 61\u003c\/p\u003e \u003cp\u003e3.2 Cyber-Physical Interdependencies in Power Distribution Systems 62\u003c\/p\u003e \u003cp\u003e3.3 Resilience of Power Distribution Systems 66\u003c\/p\u003e \u003cp\u003e3.4 Mathematical Model for Resilience Analysis 71\u003c\/p\u003e \u003cp\u003e3.5 Simulation Results 86\u003c\/p\u003e \u003cp\u003e3.6 Conclusions 96\u003c\/p\u003e \u003cp\u003e\u003cb\u003e4 Measuring and Enabling Resiliency for Microgrid Systems Against Cyber-attacks 101\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eVenkatesh Venkataramanan, Adam Hahn, and Anurag K. Srivastava\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e4.1 Introduction 101\u003c\/p\u003e \u003cp\u003e4.2 Testbed Description for Validating Resilience Tools 102\u003c\/p\u003e \u003cp\u003e4.3 Test System for Validating Cyber-Physical Resiliency 102\u003c\/p\u003e \u003cp\u003e4.4 Dependencies Between Cyber and Physical Systems 106\u003c\/p\u003e \u003cp\u003e4.5 Cyber-Attack Implementations 106\u003c\/p\u003e \u003cp\u003e4.6 Cyber-Physical Resiliency Metrics and Tools – CyPhyR and CP-SAM 107\u003c\/p\u003e \u003cp\u003e4.7 Case Studies for Cyber-Physical Resiliency Analysis 117\u003c\/p\u003e \u003cp\u003e4.8 Summary 121\u003c\/p\u003e \u003cp\u003e\u003cb\u003e5 Resilience Indicators for Electric Power Distribution Systems 125\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eJulia Phillips and Frédéric Petit\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e5.1 Introduction 125\u003c\/p\u003e \u003cp\u003e5.2 Motivations for Resilience Indicators 126\u003c\/p\u003e \u003cp\u003e5.3 Decision Analysis Methodologies for Resilience Indicators 128\u003c\/p\u003e \u003cp\u003e5.4 An Application to Electric Power Distribution Systems 134\u003c\/p\u003e \u003cp\u003e5.5 FutureWork 138\u003c\/p\u003e \u003cp\u003e5.6 Conclusion 138\u003c\/p\u003e \u003cp\u003e\u003cb\u003e6 Quantitative Model and Metrics for Distribution System Resiliency 143\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eAlexis Kwasinski\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e6.1 Power Grids Performance in Recent Natural Disasters 143\u003c\/p\u003e \u003cp\u003e6.2 Resilience Modeling Framework 149\u003c\/p\u003e \u003cp\u003e6.3 Quantitative Resilience Metrics for Electric Power Distribution Grids 154\u003c\/p\u003e \u003cp\u003e\u003cb\u003e7 Frameworks for Analyzing Resilience 163\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eTed Brekken\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e7.1 Metrics 163\u003c\/p\u003e \u003cp\u003e7.2 Risk Analysis Modeling 171\u003c\/p\u003e \u003cp\u003e7.3 Power System Monte Carlo Analysis 180\u003c\/p\u003e \u003cp\u003e7.4 Summary 181\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart II Enabling Resiliency 183\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e8 Resiliency-Driven Distribution Network Automation and Restoration 185\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eYin Xu, Chen-Ching Liu, and Ying Wang\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e8.1 Optimal Placement of Remote-Controlled Switches for Restoration Capability Enhancement 185\u003c\/p\u003e \u003cp\u003e8.2 Resiliency-Driven Distribution System Restoration Using Microgrids 188\u003c\/p\u003e \u003cp\u003e8.3 Service Restoration Using DGs in a Secondary Network 196\u003c\/p\u003e \u003cp\u003e8.4 Summary 205\u003c\/p\u003e \u003cp\u003e\u003cb\u003e9 Improving the Electricity Network Resilience by Optimizing the Power Grid 207\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eEngTseng Lau, Sandford Bessler, KokKeong Chai, Yue Chen, and Oliver Jung\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e9.1 Introduction 207\u003c\/p\u003e \u003cp\u003e9.2 Microgrid Evaluation Tool 208\u003c\/p\u003e \u003cp\u003e9.3 Overall Grid Modeling Tool 216\u003c\/p\u003e \u003cp\u003e9.4 Conclusions 226\u003c\/p\u003e \u003cp\u003e\u003cb\u003e10 Robust Cyber Infrastructure for Cyber Attack Enabling Resilient Distribution System 231\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eHyung-Seung Kim, Junho Hong, and Seung-Jae Lee\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e10.1 Introduction 231\u003c\/p\u003e \u003cp\u003e10.2 Cyber Security Analysis of Distribution System 232\u003c\/p\u003e \u003cp\u003e10.3 Cyber Attack Scenarios for Distribution System 234\u003c\/p\u003e \u003cp\u003e10.4 Designing Cyber Attack Resilient Distribution System 238\u003c\/p\u003e \u003cp\u003e10.5 Mitigation Methods Against Cyber Attacks 252\u003c\/p\u003e \u003cp\u003e10.6 Summary 257\u003c\/p\u003e \u003cp\u003e\u003cb\u003e11 A Hierarchical Control Architecture for Resilient Operation of Distribution Grids 261\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eAhmad R. Malekpour, Anuradha M. Annaswamy, and Jalpa Shah\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e11.1 Resilient Control Theory 261\u003c\/p\u003e \u003cp\u003e11.2 A Hierarchical Control Strategy 264\u003c\/p\u003e \u003cp\u003e11.3 Resilient Operation Using the Hierarchical Architecture 270\u003c\/p\u003e \u003cp\u003e11.4 Conclusions 274\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart III Real-World Case Studies 279\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e12 A Resilience Framework Against Wildfire 281\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eDimitris Trakas, Nikos Hatziargyriou, Mathaios Panteli, and Pierluigi Mancarella\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e12.1 Introduction 281\u003c\/p\u003e \u003cp\u003e12.2 The Hazard of Wildfires 282\u003c\/p\u003e \u003cp\u003e12.3 Modeling and Quantifying the Resilience of Distribution Networks to Wildfires 284\u003c\/p\u003e \u003cp\u003e12.4 Case Study Application 291\u003c\/p\u003e \u003cp\u003e12.5 Summary 301\u003c\/p\u003e \u003cp\u003e\u003cb\u003e13 Super Microgrid in Inner Mongolia 309\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eJian Xu, Siyang Liao, and Yuanzhang Sun\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e13.1 Definition and Significance of the Super Microgrid 309\u003c\/p\u003e \u003cp\u003e13.2 Applying Load Control Technology to the Super Microgrid 312\u003c\/p\u003e \u003cp\u003e13.3 Research on Load–Frequency Control Methods for the Super Microgrid 317\u003c\/p\u003e \u003cp\u003e13.4 Implementation of the Load–Frequency Control Method for the Super Microgrid 323\u003c\/p\u003e \u003cp\u003e13.5 Operation of the Super Microgrid 325\u003c\/p\u003e \u003cp\u003e13.6 Summary 326\u003c\/p\u003e \u003cp\u003e\u003cb\u003e14 Technology and Policy Requirements to Deliver Resiliency to Power System Networks 329\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eMani Vadari, Gerald Stokes, and John (JD) Hammerly\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e14.1 Introduction 329\u003c\/p\u003e \u003cp\u003e14.2 A Broad Perspective on the Need to Apply Technology 332\u003c\/p\u003e \u003cp\u003e14.3 Use of Microgrids to Improve Resiliency Response 336\u003c\/p\u003e \u003cp\u003e14.4 Use of Drones to Perform Advanced Damage Assessment 339\u003c\/p\u003e \u003cp\u003e14.5 Case Study: Lessons Learned and Forgotten. The North American Hurricane Experience 342\u003c\/p\u003e \u003cp\u003e14.6 Bringing it All Together – Policy and Practice 344\u003c\/p\u003e \u003cp\u003e14.7 Conclusions 346\u003c\/p\u003e \u003cp\u003eReferences 347\u003c\/p\u003e \u003cp\u003eIndex 351\u003c\/p\u003e  \u003cp\u003e\u003cb\u003eAnurag K. Srivastava,\u003c\/b\u003e 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. \u003c\/p\u003e\u003cp\u003e\u003cb\u003eChen-Ching Liu, PhD,\u003c\/b\u003e 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. \u003c\/p\u003e\u003cp\u003e\u003cb\u003eSayonsom Chanda, PhD,\u003c\/b\u003e 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.   \u003c\/p\u003e\u003cp\u003e\u003cb\u003eA revolutionary book covering the relevant concepts for resiliency-focused advancements of the distribution power grid\u003c\/b\u003e \u003c\/p\u003e\u003cp\u003eMost 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.  \u003c\/p\u003e\u003cp\u003eIn \u003ci\u003eResiliency of Power Distribution Systems,\u003c\/i\u003e 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.  \u003c\/p\u003e\u003cp\u003e\u003ci\u003eResiliency of Power Distribution Systems\u003c\/i\u003e readers will also find: \u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eChapter organization that facilitates quick review of distribution fundamental and easy-but-thorough understanding of the importance of resiliency\u003c\/li\u003e \u003cli\u003eReal-world case studies where resilient power systems could have prevented massive financial and energy losses\u003c\/li\u003e \u003cli\u003eFrameworks to help mitigate cyber-physical attacks, strategize response on multiple timescales, and optimize operational efficiencies and priorities for the power grid\u003c\/li\u003e\n\u003c\/ul\u003e \u003cp\u003e\u003ci\u003eResiliency of Power Distribution Systems\u003c\/i\u003e 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.\u003c\/p\u003e","brand":"Wiley","offers":[{"title":"Default Title","offer_id":47989949071589,"sku":"NP9781119418672","price":140.0,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1842\/7735\/files\/9781119418672.jpg?v=1761786006","url":"https:\/\/k12savings.com\/es\/products\/resiliency-of-power-distribution-systems-isbn-9781119418672","provider":"K12savings","version":"1.0","type":"link"}