Secure State Estimation of DC Microgrid System Under False Data Injection Attack

被引：0

作者：

Mao, Jiawei ^{[1
]}

Ye, Shenghua ^{[2
]}

Li, Tongxiang ^{[1
]}

Chen, Ming ^{[1
]}

Chen, Bo ^{[1
]}

机构：

[1] Zhejiang Univ Technol, Coll Informat Engn, Hangzhou 310012, Peoples R China

[2] Xidian Ningbo Informat Technol Inst, Ningbo 315000, Peoples R China

来源：

IEEE ACCESS | 2024年 / 12卷

关键词：

Microgrids; Kalman filters; Voltage control; Observers; Voltage measurement; Symmetric matrices; Laplace equations; DC power transmission; Power distribution; Power system reliability; Resilience; DC microgrid; distributed Kalman filter; discrete attack modeling; attack compensation; DISTRIBUTED SECONDARY CONTROL; ADAPTIVE DROOP CONTROL; HIERARCHICAL CONTROL; FDI ATTACKS; INPUT;

D O I：

10.1109/ACCESS.2024.3368876

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In DC microgrids, distributed secondary control plays an important role in maintaining power distribution and voltage recovery. However, distributed control architecture is vulnerable to external attacks, especially false data injection (FDI) attacks. To solve the problem of the controller being attacked, a distributed Kalman filter is proposed to estimate the attack signals and states. In addition, a compensation mechanism is adopted to defend against attacks and improve system resilience. Finally, the effectiveness of the proposed method is verified in the scenario of time-varying attack and load switching. The results show that the proposed method can effectively suppress potential external attacks and ensure the system's stability.

引用

页码：33524 / 33535

页数：12

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