On False Data Injection Attack against Dynamic State Estimation on Smart Power Grids

被引：0

作者：

Karimipour, Hadis ^{[1
]}

Dinavahi, Venkata ^{[2
]}

机构：

[1] Univ Guelph, Sch Engn, Guelph, ON, Canada

[2] Univ Alberta, Dept Elect & Comp Engn, Edmonton, AB, Canada

来源：

2017 5TH IEEE INTERNATIONAL CONFERENCE ON SMART ENERGY GRID ENGINEERING (SEGE) | 2017年

关键词：

bad data detection; cyber-attack; false data injection; dynamic state estimation; graphic processing units; large-scale systems; Markov chain; parallel programming; SCADA; PMUs; BAD DATA IDENTIFICATION; INTEGRITY ATTACKS; SECURITY; MITIGATION;

D O I：

暂无

中图分类号：

TE [石油、天然气工业]; TK [能源与动力工程];

学科分类号：

0807 ; 0820 ;

摘要：

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.

引用

页码：388 / 393

页数：6

共 27 条

[1] A BAD DATA IDENTIFICATION METHOD FOR LINEAR-PROGRAMMING STATE ESTIMATION [J].