604 citations
- Changchun Institute of TechnologyCN5 papers
- Electric Power UniversityVN4 papers
- Xi'an Jiaotong UniversityCN4 papers
- Huazhong University of Science and TechnologyCN3 papers
- Illinois Institute of TechnologyUS3 papers
- Jilin Electric Power Research Institute (China)CN3 papers
- Naval University of EngineeringCN3 papers
- Qilu University of TechnologyCN3 papers
- Shandong Academy of SciencesCN3 papers
- Shenyang University of TechnologyCN3 papers
- State Grid Corporation of China (China)CN3 papers
- Argonne National LaboratoryUS2 papers
51 papers
Critical link identification of power system vulnerability based on modified graph attention network
Changgang Wang, Xianwei Wang, Yu Cao +3
With the expansion of the power grid and the increase of the proportion of new energy sources, the uncertainty and random factors of the power grid increase, endangering the safe o…
Influences of Divalent Ions in Natural Seawater/River Water on Nanofluidic Osmotic Energy Generation
Fenhong Song, Xuan An, Long Ma +2
Besides the dominant NaCl, natural seawater/river water contains trace multivalent ions, which can provide effective screening to surface charges. Here, in both negatively and posi…
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…
Deep learning based on Transformer architecture for power system short-term voltage stability assessment with class imbalance
Yang Li, Jiting Cao, Yan Xu +2
Most existing data-driven power system short-term voltage stability assessment (STVSA) approaches presume class-balanced input data. However, in practical applications, the occurre…
PMU measurements based short-term voltage stability assessment of power systems via deep transfer learning
Yang Li, Shitu Zhang, Yuanzheng Li +2
Deep learning has emerged as an effective solution for addressing the challenges of short-term voltage stability assessment (STVSA) in power systems. However, existing deep learnin…
Model predictive control strategy in waked wind farms for optimal fatigue loads
Cheng Zhong, Yicheng Ding, Husai Wang +3
With the rapid growth of wind power penetration, wind farms (WFs) are required to implement frequency regulation that active power control to track a given power reference. Due to…