A New Mode of False Data Injection Attack With Incomplete Information and Residual Pollution

YANG Yuze; LIU Wenxia; LIU Gengming; ZHANG Shuai; LI Chengze; ZENG Zehua; CHENG Rui

doi:10.13334/j.0258-8013.pcsee.240632

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A New Mode of False Data Injection Attack With Incomplete Information and Residual Pollution

更新时间：2026-01-20

- A New Mode of False Data Injection Attack With Incomplete Information and Residual Pollution
- Vol. 45, Issue 19, Pages: 7481-7492(2025)
- 作者机构：
  
  新能源电力系统国家重点实验室(华北电力大学), 北京市昌平区,102206
- 作者简介：
- 基金信息：
- DOI：10.13334/j.0258-8013.pcsee.240632
  CLC：
- Published：2025
- 稿件说明：
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YANG Yuze, LIU Wenxia, LIU Gengming, et al. A New Mode of False Data Injection Attack With Incomplete Information and Residual Pollution[J]. 2025, 45(19): 7481-7492.
DOI：

YANG Yuze, LIU Wenxia, LIU Gengming, et al. A New Mode of False Data Injection Attack With Incomplete Information and Residual Pollution[J]. 2025, 45(19): 7481-7492. DOI： 10.13334/j.0258-8013.pcsee.240632.

摘要

作为支撑电网安全稳定运行的主要手段，电力数据采集与监控(supervisory control and data acquisition，SCADA)系统的网络安全问题备受关注。鉴于此，该文提出一种计及残差污染的虚假数据注入攻击(false data injection attack，FDIA)新模式。该模式利用电力系统状态估计中的残差污染现象，诱导不良数据辨识环节剔除正常量测而保留篡改量测，从而精准误导状态估计的结果；针对加权/标准化残差搜索法辨识原理的不同，该文提出两种攻击模型；考虑到攻击者掌握不完整网络信息的现实情况，挖掘不完全信息下的攻击建模机理，设计基于机理驱动与图论搜索的攻击方案寻优算法。算例表明，攻击者仅需掌握局部拓扑结构和线路参数，就能在几十ms内构造攻击向量，并以很小的攻击代价误导直流/交流状态估计结果，破坏电网安全稳定经济运行。

Abstract

As the main technical means to support the safe and stable operation of power grid

the network security of electric power supervisory control and data acquisition (SCADA) system has attracted much attention. In view of this

a new pattern of false data injection attack (FDIA) with residual pollution is proposed in this paper. In this model

the residual pollution phenomenon in power system state estimation is used to induce the bad data identification link to eliminate the normal measurement and retain the tampered measurement

so as to accurately mislead the state estimation results. In view of different identification principles of weighted/standardized residual search method

two attack models are proposed. Considering the reality that attackers have incomplete network information

the attack modeling mechanism under incomplete information is mined

and an attack scheme optimization algorithm based on mechanism- driven and graph theory search is designed. The example shows that the attacker only needs to master the local topology and line parameters to construct the attack vector in tens of milliseconds

and mislead the DC/AC state estimation results at a small attack cost

thus damaging the safe

stable and economic operation of the power grid.

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