Distributed Secure Estimation Against Unknown FDI Attacks and Load Deviation in Multi-Area Power Systems

被引：37

作者：

Weng, Shiqing ^{[1
,2
]}

Weng, Pindi ^{[1
,2
]}

Chen, Bo ^{[1
,2
]}

Liu, Shichao ^{[3
]}

Yu, Li ^{[1
,2
]}

机构：

[1] Zhejiang Univ Technol, Dept Automat, Hangzhou 310023, Peoples R China

[2] Zhejiang Univ Technol, Inst Cyberspace Secur, Hangzhou 310023, Peoples R China

[3] Carleton Univ, Dept Elect, Ottawa, ON K1S 5B6, Canada

来源：

IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS | 2022年 / 69卷 / 06期

基金：

中国国家自然科学基金;

关键词：

Power systems; Estimation; Observers; Power system dynamics; Turbines; Frequency control; Power measurement; FDI attacks; unknown load deviation; distributed secure estimation; multi-area power systems; STATE ESTIMATION; FREQUENCY CONTROL; SMART GRIDS;

D O I：

10.1109/TCSII.2022.3162239

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

This brief studies the distributed estimation problem for multi-area power systems where the sensor measurements encounter with false data injection (FDI) attacks. For the large load frequency control (LFC) power systems with unknown load deviation, a distributed intermediate observer based method is proposed to estimate the system states, FDI attack signals and load deviation of each area in the power system. In this case, the gain of each intermediate observer is obtained by constructing a self-relative linear matrix inequality that can be easily solved by the standard software packages. Notice that the computational cost of each estimator is low even though the scale of power systems is large. Finally, the effectiveness of the proposed method is verified by an illustrative example.

引用

页码：3007 / 3011

页数：5

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