针对智能电网动态估计的假数据注入攻击研究

H. Karimipour, V. Dinavahi
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引用次数: 53

摘要

尽管传感、通信和智能测量设备方面的网络技术的进步显著提高了电力系统的安全性和可靠性,但其对数据通信的依赖使其容易受到网络攻击。协同假数据注入(FDI)攻击以一种模拟系统真实行为的方式操纵电力系统测量,并且保持不可观察性,从而误导状态估计过程,并可能导致停电甚至系统停电。本文提出了一种鲁棒动态状态估计算法,并在大规模并行架构的图形处理器(GPU)上实现了该算法。对IEEE-118总线系统的数值仿真验证了该机构的有效性和准确性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
On false data injection attack against dynamic state estimation on smart power grids
Although the advancement of cyber technologies in sensing, communication and smart measurement devices significantly enhanced power system security and reliability, its dependency on data communications makes it vulnerable to cyber-attacks. Coordinated false data injection (FDI) attacks manipulate power system measurements in a way that emulate the real behaviour of the system and remain unobservable, which misleads the state estimation process, and may result in power outages and even system blackouts. In this paper a robust dynamic state estimation (DSE) algorithm is proposed and implemented on the massively parallel architecture of graphic processing unit (GPU). Numerical simulation on IEEE-118 bus system demonstrate the efficiency and accuracy of the proposed mechanism.
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