Findings from Anhui Polytechnic University Broaden Understanding of Engineering (Detection of False Data Injection Attacks in Smart Grid Based on Joint Dynamic and Static State Estimation)

2023 MAY 29 (NewsRx) -- By a News Reporter-Staff News Editor at Tech Daily News -- New research on engineering is the subject of a new report. According to news reporting originating from Wuhu, People’s Republic of China, by NewsRx correspondents, research stated, “Power system state estimation is an essential component of the modern power system energy management system (EMS), and accurate state estimation is an indispensable basis for subsequent work.”

Financial supporters for this research include National Natural Science Foundation of China; Natural Science Foundation of Anhui Province; Open Research Fund of Anhui Province Key Laboratory of Detection Technology And Energy Saving Devices; Open Research Fund of Key Laboratory of Advanced Perception And Intelligent Control of High-end Equipment of Ministry of Education.

Our news journalists obtained a quote from the research from Anhui Polytechnic University: “However, the attacker can inject biases into measurements to launch false data injection attacks (FDIAs) in smart grids, which ultimately cause state estimates to deviate from security values. This paper proposed the joint use of static state estimation and dynamic state estimation to detect the FDIA, i.e. the joint use of weighted least squares (WLS) and extended Kalman filter (EKF) with exponential weighting function (WEKF), which improves the robustness of state estimation. Since the WLS estimation considers only the measurements at the current moment, the recursive feature of the WEKF enables the estimation process to involve both historical state and current measurements. Therefore, consistency tests and residual tests were performed using the estimations of WLS and WEKF to effectively detect FDIA. In addition, a cluster partitioning approach with approximate equal redundancy of subsystems is proposed to locate the FDIA. The detection of FDIA triggers the partitioning of the network system, and then the chi-square test is used separately in each sub-network to determine the location of FDIA.”

According to the news reporters, the research concluded: “Finally, the experimental results in the IEEE-14 bus system and the IEEE-30 bus system demonstrate that the approach can effectively detect and locate FDIAs.”

For more information on this research see: Detection of False Data Injection Attacks in Smart Grid Based on Joint Dynamic and Static State Estimation. IEEE Access, 2023,11():45028-45038. (IEEE Access - http://ieeexplore.ieee.org/servlet/opac?punumber=6287639" target="_blank">http://ieeexplore.ieee.org/servlet/opac?punumber=6287639). The publisher for IEEE Access is IEEE.

A free version of this journal article is available at https://doi.org/10.1109/ACCESS.2023.3273730" target="_blank">https://doi.org/10.1109/ACCESS.2023.3273730.

Our news editors report that additional information may be obtained by contacting Pengfei Hu, School of Electrical Engineering, Anhui Polytechnic University, Wuhu, People’s Republic of China. Additional authors for this research include Wengen Gao, Yunfei Li, Feng Hua, Lina Qiao, Guoqing Zhang.

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