Detection of False Data Injection Attacks in a Smart Grid Based on WLS and an Adaptive Interpolation Extended Kalman Filter
Author:
Zhang Guoqing12ORCID,
Gao Wengen12ORCID,
Li Yunfei12,
Guo Xinxin12,
Hu Pengfei12ORCID,
Zhu Jiaming12
Affiliation:
1. School of Electrical Engineering, Anhui Polytechnic University, Wuhu 241000, China
2. Key Laboratory of Advanced Perception and Intelligent Control of High-End Equipment, Chinese Ministry of Education, Wuhu 241000, China
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.
Funder
National Natural Science Foundation of China
Collaborative Innovation Project of Anhui Universities
Open Research Fund of Anhui Province Key Laboratory of Detection Technology and Energy Saving Devices
Open Research Fund of the Key Laboratory of Advanced Perception and Intelligent Control of High-end Equipment of the Ministry of Education
Subject
Energy (miscellaneous),Energy Engineering and Power Technology,Renewable Energy, Sustainability and the Environment,Electrical and Electronic Engineering,Control and Optimization,Engineering (miscellaneous),Building and Construction
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