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20212024
most citedLocalization of Dummy Data Injection Attacks in Power Systems Considering Incomplete Topological Information: A Spatio-Temporal Graph Wavelet Convolutional Neural Network Approach

52 citations

4 papers

cs.LG2024★ 15 cited

Extraction of Typical Operating Scenarios of New Power System Based on Deep Time Series Aggregation

Zhaoyang Qu, Zhenming Zhang, Nan Qu +5

Extracting typical operational scenarios is essential for making flexible decisions in the dispatch of a new power system. This study proposed a novel deep time series aggregation…

eess.SY2024★ 52 cited

Localization of Dummy Data Injection Attacks in Power Systems Considering Incomplete Topological Information: A Spatio-Temporal Graph Wavelet Convolutional Neural Network Approach

Zhaoyang Qu, Yunchang Dong, Yang Li +8

The emergence of novel the dummy data injection attack (DDIA) poses a severe threat to the secure and stable operation of power systems. These attacks are particularly perilous due…

eess.SY2022★ 33 cited

Active and Passive Hybrid Detection Method for Power CPS False Data Injection Attacks with Improved AKF and GRU-CNN

Zhaoyang Qu, Xiaoyong Bo, Tong Yu +5

Influenced by deep penetration of the new generation of information technology, power systems have gradually evolved into highly coupled cyber-physical systems (CPS). Among many po…

eess.SY2021★ 2 cited

Dynamic Exploitation Gaussian Bare-Bones Bat Algorithm for Optimal Reactive Power Dispatch to Improve the Safety and Stability of Power System

Zhaoyang Qu, Yunchang Dong, Sylvère Mugemanyi +6

In this paper, a novel Gaussian bare-bones bat algorithm (GBBBA) and its modified version named as dynamic exploitation Gaussian bare-bones bat algorithm (DeGBBBA) are proposed for…