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Cyber attacks on PMU placement in a smart grid: Characterization and optimization

机译:网络攻击智能电网中PMU放置的攻击:表征和优化

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摘要

Phasor measurement units (PMUs) have been integrated into the smart grid for monitoring the operational state of system and improving the reliability. Due to the high cost of PMU installment, the optimal placement strategies have attracted considerable attention in the literature. However, the impacts of cyber threats on the placement have been largely ignored owing to the cyber complexities. This paper initializes the study on the optimal PMU placement in a smart grid under the cyber threats. A probabilistic model is developed for assessing the unobservable risk of the power grid. We characterize the impacts of several cyber factors on the PMU placements including the number of directly attacked PMUs, the dependence among attack outcomes, and risk propagation. We further study the impacts of cyber attacks on the allocation strategies under a bi-level placement model. In particular, a novel 'greedy' algorithm for PMU placement is introduced with the presence of cyber risks. Our studies show that the cyber risk can significantly increase the unobservability risk of a power system which in turn requires additional PMU allocations, and the dependence among cyber attacks can lead to more unobservable risk.
机译:Phasor测量单元(PMU)已集成到智能电网中,以监控系统的操作状态并提高可靠性。由于PMU分期付款的高成本,最佳的安置策略在文献中引起了相当大的关注。然而,由于网络复杂性,网络威胁对展示率的影响已经很大程度上被忽视。本文在网络威胁下初始化了智能电网中最佳PMU放置的研究。开发了一种用于评估电网的不可观察风险的概率模型。我们的特点是若干网络因素对PMU展示的影响,包括直接攻击的PMU的数量,攻击结果之间的依赖性和风险传播。我们进一步研究了网络攻击对双层展示率模型下的分配策略的影响。特别是,在存在网络风险的情况下引入了一种新的“贪婪”的PMU放置算法。我们的研究表明,网络风险可以显着提高电力系统的无法观察性风险,这反过来需要额外的PMU分配,网络攻击之间的依赖可能导致更不可观察的风险。

著录项

  • 来源
    《Reliability Engineering & System Safety》 |2021年第8期|107586.1-107586.11|共11页
  • 作者单位

    Jiangsu Normal Univ Sch Math & Stat Xuzhou Jiangsu Peoples R China|Jiangsu Normal Univ RIMS Jiangsu Prov Key Lab Educ Big Data Sci & Engn Xuzhou Jiangsu Peoples R China;

    Illinois State Univ Dept Math Normal IL 61761 USA;

    North China Elect Power Univ Dept Automat Beijing Peoples R China;

    Jiangsu Normal Univ Sch Math & Stat Xuzhou Jiangsu Peoples R China|Jiangsu Normal Univ RIMS Jiangsu Prov Key Lab Educ Big Data Sci & Engn Xuzhou Jiangsu Peoples R China;

    Jiangsu Normal Univ Sch Math & Stat Xuzhou Jiangsu Peoples R China|Jiangsu Normal Univ RIMS Jiangsu Prov Key Lab Educ Big Data Sci & Engn Xuzhou Jiangsu Peoples R China;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Dependence; Observability; Risk propagation; Bi-level placement;

    机译:依赖;可观察性;风险传播;双级展示位置;

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