智能电网抵御虚假数据注入攻击的网络弹性方法:分类、回顾和未来方向

Andrew D. Syrmakesis, Nikos D. Hatziargyriou
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引用次数: 0

摘要

为了更有效地监测和控制电能,传统电力系统的物理组件不断与信息和通信技术相结合,将其转化为智能电网。然而,能源数字化使电力系统面临各种数字风险。电网的网络复原力一词扩展了电力系统的传统复原力,主要指极端天气现象。由于这是一个相对较新的术语,因此需要建立一个坚实的概念框架。本文对为加强智能电网网络复原力而提出的最新研究方法进行了分析和分类。为此,本文对针对智能电网的网络攻击进行了分类,确定了电力系统自动化的薄弱环节,并就网络复原力达成了共识。论文最后讨论了所提方法的局限性,以便为未来的发展方向提出有用的建议。
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Cyber resilience methods for smart grids against false data injection attacks: categorization, review and future directions
For a more efficient monitoring and control of electrical energy, the physical components of conventional power systems are continuously integrated with information and communication technologies, converting them into smart grids. However, energy digitalization exposes power systems into a wide range of digital risks. The term cyber resilience for electrical grids expands the conventional resilience of power systems, which mainly refers to extreme weather phenomena. Since this is a relatively new term, there is a need for the establishment of a solid conceptual framework. This paper analyzes and classifies the state-of-the-art research methodologies proposed for strengthening the cyber resilience of smart grids. To this end, the proposed work categorizes the cyberattacks against smart grids, identifies the vulnerable spots of power system automation and establishes a common ground about the cyber resilience. The paper concludes with a discussion about the limitations of the proposed methods in order to extract useful suggestions for future directions.
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