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Identifying vulnerabilities of state estimators against cyber-attacks

机译:识别针对网络攻击的状态估计器的漏洞

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State estimation has an important role in the operation of power systems and associated power markets. It is well known that state estimators are vulnerable to any existing critical measurements since their errors cannot be detected. Therefore, by manipulating a finite number of critical measurements, a hacker can bias the results of state estimation without being detected. Those biased results include both system states (bus voltage magnitudes and angles) and branch flows that are calculated by using the system states. This work investigates the cyber-attacks carried out by strategically manipulating critical measurements and proposes a method to identify the set of estimated flows that are vulnerable to those cyber-attacks. The proposed method will be described and simulations will be presented to validate the method. The paper considers power systems that are measured by a mixed set of measurements, namely power flow, injection and voltage magnitude measurements, as well as phasor measurements provided by the phasor measurement units (PMUs).
机译:状态估计在电力系统和相关电力市场的运营中具有重要作用。众所周知,状态估计器很容易受到任何现有关键测量的影响,因为它们的错误无法被检测到。因此,通过操纵有限数量的关键测量,黑客可以偏向状态估计的结果而不会被发现。这些有偏差的结果包括系统状态(总线电压大小和角度)以及通过使用系统状态计算出的支路流量。这项工作调查了通过策略性地处理关键度量进行的网络攻击,并提出了一种方法来识别易受这些网络攻击影响的估计流量集合。将描述所提出的方法,并且将进行仿真以验证该方法。本文考虑了通过混合测量集(即功率流,注入和电压幅值测量以及相量测量单元(PMU)提供的相量测量)测量的电力系统。

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