2 citations · 2 across the 6 of their papers we have counts for
6 papers
Intelligent Domain Adaptation for Power System Transient Stability Assessment Under Varying Operating Scenarios
Yuan Yang, Lipeng Zhu, Chao Deng +3
While deep learning-based transient stability assessment (TSA) approaches have exhibited great potential in power system stability monitoring, they are prone to undergo performance…
Impedance Modeling and Stability Analysis of Droop-Controlled Inverter Under Unbalanced Power Grid Operating Conditions
Qiang Zeng, Lipeng Zhu, Yang Li +6
With the growing integration of renewable energy sources into power grids, the risks of oscillation caused by interactions between grid-tied inverters and the grids are becoming in…
Lightweight Multimodal LLM-Enabled Cost-Effective Defect Grading of Power Transmission Equipment
Tao Wang, Lipeng Zhu, Jiayong Li +2
Defect grading of power transmission equipment (DGPTE) is crucial to the stability of electric energy transmission. Although existing machine learning methods exhibit strong capabi…
Adaptive Spatial-Temporal Graph Learning-Enabled Short-Term Voltage Stability Assessment against Time-Varying Topological Conditions
Chao Deng, Lipeng Zhu, Chang Liu +5
The emerging deep learning (DL) technology has recently exhibited great potential in data-driven short-term voltage stability (SVS) assessment of complex power grids. However, with…
Quantitative Damping Calculation and Compensation Method for Global Stability Improvement of Inverter-Based Systems
Yang Li, Zenghui Zheng, Xiangyang Wu +4
Small-signal stability issues-induced broadband oscillations pose significant threats to the secure operation of multi-inverter systems, attracting extensive research attention. Re…
Three-Stage Composite Outlier Identification of Wind Power Data: Integrating Physical Rules with Regression Learning and Mathematical Morphology
Limengqian Zheng, Lipeng Zhu, Weijia Wen +2
Existing studies on identifying outliers in wind speed-power datasets are often challenged by the complicated and irregular distributions of outliers, especially those being densel…