Stealth Attacks and Protection Schemes for State Estimators in Power Systems

G. Dán, H. Sandberg
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引用次数: 399

Abstract

State estimators in power systems are currently used to, for example, detect faulty equipment and to route power flows. It is believed that state estimators will also play an increasingly important role in future smart power grids, as a tool to optimally and more dynamically route power flows. Therefore security of the estimator becomes an important issue. The estimators are currently located in control centers, and large numbers of measurements are sent over unencrypted communication channels to the centers. We here study stealthy false-data attacks against these estimators. We define a security measure tailored to quantify how hard attacks are to perform, and describe an efficient algorithm to compute it. Since there are so many measurement devices in these systems, it is not reasonable to assume that all devices can be made encrypted overnight in the future. Therefore we propose two algorithms to place encrypted devices in the system such as to maximize their utility in terms of increased system security. We illustrate the effectiveness of our algorithms on two IEEE benchmark power networks under two attack and protection cost models.
电力系统状态估计器的隐身攻击与防护方案
例如,电力系统中的状态估计器目前用于检测故障设备和路由潮流。在未来的智能电网中,状态估计器也将发挥越来越重要的作用,作为一种优化和更动态的潮流路径的工具。因此,估计器的安全性成为一个重要的问题。估计器目前位于控制中心,大量的测量数据通过未加密的通信通道发送到控制中心。我们在这里研究针对这些估计器的隐形假数据攻击。我们定义了一种安全措施来量化攻击的难度,并描述了一种有效的算法来计算它。由于这些系统中有如此多的测量设备,因此假设所有设备都可以在未来一夜之间加密是不合理的。因此,我们提出了两种算法来将加密设备放置在系统中,以便在增加系统安全性方面最大化其效用。在两种攻击和保护成本模型下,我们在两个IEEE基准电网上验证了算法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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