EconPapers    
Economics at your fingertips  
 

Detection of False Data Injection Attacks in a Smart Grid Based on WLS and an Adaptive Interpolation Extended Kalman Filter

Guoqing Zhang, Wengen Gao (), Yunfei Li, Xinxin Guo, Pengfei Hu and Jiaming Zhu
Additional contact information
Guoqing Zhang: School of Electrical Engineering, Anhui Polytechnic University, Wuhu 241000, China
Wengen Gao: School of Electrical Engineering, Anhui Polytechnic University, Wuhu 241000, China
Yunfei Li: School of Electrical Engineering, Anhui Polytechnic University, Wuhu 241000, China
Xinxin Guo: School of Electrical Engineering, Anhui Polytechnic University, Wuhu 241000, China
Pengfei Hu: School of Electrical Engineering, Anhui Polytechnic University, Wuhu 241000, China
Jiaming Zhu: School of Electrical Engineering, Anhui Polytechnic University, Wuhu 241000, China

Energies, 2023, vol. 16, issue 20, 1-20

Abstract: An accurate power state is the basis of the normal functioning of the smart grid. However, false data injection attacks (FDIAs) take advantage of the vulnerability in the bad data detection mechanism of the power system to manipulate the process of state estimation. By attacking the measurements, then affecting the estimated state, FDIAs have become a serious hidden danger that affects the security and stable operation of the power system. To address the bad data detection vulnerability, in this paper, a false data attack detection method based on weighted least squares (WLS) and an adaptive interpolation extended Kalman filter (AIEKF) is proposed. On the basis of applying WLS and AIEKF, the Euclidean distance is used to calculate the deviation values of the two-state estimations to determine whether the current moment is subjected to a false data injection attack in the power system. Extensive experiments were conducted to simulate an IEEE-14-bus power system, showing that the adaptive interpolation extended Kalman filter can compensate for the deficiency in the bad data detection mechanism and successfully detect FDIAs.

Keywords: false data injection attacks; adaptive interpolation extended Kalman filter; state estimation; Euclidean distance; smart grid (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/1996-1073/16/20/7203/pdf (application/pdf)
https://www.mdpi.com/1996-1073/16/20/7203/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:16:y:2023:i:20:p:7203-:d:1265155

Access Statistics for this article

Energies is currently edited by Ms. Agatha Cao

More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().

 
Page updated 2025-03-19
Handle: RePEc:gam:jeners:v:16:y:2023:i:20:p:7203-:d:1265155