A Bi-Level Model for Detecting and Correcting Parameter Cyber-Attacks in Power System State Estimation
A Bi-Level Model for Detecting and Correcting Parameter Cyber-Attacks in Power System State Estimation
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DOI：
10.3390/app11146540
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发表时间：
2021-07-01
影响因子：
2.7
通讯作者：
Bretas, Arturo
中科院分区：
文献类型：
--
作者：
Aljohani, Nader;Bretas, Arturo
电力系统状态估计是对底层电网的状态和健康状况进行实时监测的重要组成部分。然而，这样的组件容易受到网络物理攻击。网络物理电力系统安全的大部分研究集中在检测测量错误数据注入攻击。虽然这很重要，但测量模型参数也是状态估计过程中最重要的部分。然而，测量模型参数（也称为静态数据）在实际应用中不受监控。测量模型解决方案最终提供估计的状态。一个国家的最先进的模型提出了一个两步的过程，同时虚假数据注入安全性：检测和纠正。检测步骤是基于χ（2）统计假设检验的，而校正步骤考虑增强的状态向量方法。此外，校正步骤使用松弛的非线性模型的迭代解，不保证最优解。本文提出了一种线性规划方法来检测和纠正网络攻击的测量模型参数。所提出的双层模型集成了检测和校正步骤。电网的时间和空间特性被用来提供一个在线检测和校正工具的攻击有关的测量模型的参数。所提出的模型在IEEE 118节点系统上实现。与最先进的模型的比较测试结果突出了提高的准确性。一个易于实现的模型，建立在经典的加权最小二乘解决方案，没有难以推导的参数，突出了对现实生活中的应用的潜在方面。
Power system state estimation is an important component of the status and healthiness of the underlying electric power grid real-time monitoring. However, such a component is prone to cyber-physical attacks. The majority of research in cyber-physical power systems security focuses on detecting measurements False-Data Injection attacks. While this is important, measurement model parameters are also a most important part of the state estimation process. Measurement model parameters though, also known as static-data, are not monitored in real-life applications. Measurement model solutions ultimately provide estimated states. A state-of-the-art model presents a two-step process towards simultaneous false-data injection security: detection and correction. Detection steps are chi(2) statistical hypothesis test based, while correction steps consider the augmented state vector approach. In addition, the correction step uses an iterative solution of a relaxed non-linear model with no guarantee of optimal solution. This paper presents a linear programming method to detect and correct cyber-attacks in the measurement model parameters. The presented bi-level model integrates the detection and correction steps. Temporal and spatio characteristics of the power grid are used to provide an online detection and correction tool for attacks pertaining the parameters of the measurement model. The presented model is implemented on the IEEE 118 bus system. Comparative test results with the state-of-the-art model highlight improved accuracy. An easy-to-implement model, built on the classical weighted least squares solution, without hard-to-derive parameters, highlights potential aspects towards real-life applications.