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Titlebook: Smart Grid Resilience; Extreme Weather, Cyb Junjian Qi Book 2023 Springer Nature Switzerland AG 2023 Smart grid.Cyber-physical systems.Powe

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书目名称Smart Grid Resilience
副标题Extreme Weather, Cyb
编辑Junjian Qi
视频video
概述Provides the most comprehensive and up-to-date overview of smart grid resilience.Reveals the most important vulnerabilities and develops corresponding risk mitigation strategies.Discusses system-wide
图书封面Titlebook: Smart Grid Resilience; Extreme Weather, Cyb Junjian Qi Book 2023 Springer Nature Switzerland AG 2023 Smart grid.Cyber-physical systems.Powe
描述.This book provides a comprehensive overview and in-depth discussion of smart grid resilience. It covers the three most critical resilience problems facing smart grids—resilience against extreme weather, resilience against cyber-physical attacks, and resilience under system inter-dependency. Each of these topics increases the risk of large-scale system-wide cascading failures. In-depth chapters allow the reader to define and quantify the smart grid’s ability to deal with extreme events and the critical infrastructures systems that connect it. Methods for improving system design are introduced along with effective strategies for protecting the system with minimal disruption of power supply and economic and social losses in extreme conditions. .Smart Grid Resilience:. Extreme Weather, Cyber-Physical Security, and System Interdependency .is an essential guide for a broad audience of practicing professionals, including policymakers, electric utility engineers, and transmission and distribution system operators. It will also be a valuable reference for students and researchers..
出版日期Book 2023
关键词Smart grid; Cyber-physical systems; Power systems; Renewables and smart inverters; System interdependenc
版次1
doihttps://doi.org/10.1007/978-3-031-29290-3
isbn_softcover978-3-031-29292-7
isbn_ebook978-3-031-29290-3
copyrightSpringer Nature Switzerland AG 2023
The information of publication is updating

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Self-Healing PMU Network Against Cyber Attacksming (ILP) model is formulated to minimize the overhead of the self-healing process (e.g., the recovery latency), while considering the constraints of power system observability, hardware resources, and network topology. A heuristic algorithm is used to decrease the computational complexity.
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Interdependency Between Power System Outages by Coupled Interaction Modelty index that considers the consequences of both line outagesand theload shed. The identified critical links based on a comprehensive severity index enable a proper trade-off between reducing line outages and reducing the load shed, leading to a better mitigationeffect than only considering either line outages or the load shed.
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Cascading Failure Interaction Analysise propagation patterns is a typical parameter estimation problem with incomplete data. In this chapter, the failure interactions are estimated by the Expectation Maximization (EM) algorithm. The EM algorithm can accurately estimate the interactions and identify the key links and key components only
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