6 papers
MS-DFTVNet:A Long-Term Time Series Prediction Method Based on Multi-Scale Deformable Convolution
Chenghan Li, Mingchen Li, Yipu Liao +1
Research on long-term time series prediction has primarily relied on Transformer and MLP models, while the potential of convolutional networks in this domain remains underexplored.…
Transient Stability Analysis of a Hybrid Grid-Forming and Grid-Following RES System Considering Multi-Mode Control Switching
Ruiyuan Zeng, Ruisheng Diao, Fangyuan Sun +3
The inherent control switching of renewable energy sources (RESs) during intricate transient processes introduces complexity to the dynamic behavior of modern power systems. This p…
Improved PLL Design for Transient Stability Enhancement of Grid Following Converters Based on Lyapunov Method
Fangyuan Sun, Ruisheng Diao, Ruiyuan Zeng +2
Fluctuations in phase angle and frequency under large disturbances can lead to loss of synchronism (LOS) in grid-following (GFL) converters. The power angle and frequency of synchr…
A Novel Decoupled LVRT Control Strategy for Transient Voltage Stability Enhancement of IBRs Using Voltage-Angle Coupling Analysis
Fangyuan Sun, Ruisheng Diao, Ruiyuan Zeng +2
With the fast-increasing penetration of inverter-based resources (IBRs), the voltage support capability of the grid following (GFL) IBRs under low voltage ride through (LVRT) contr…
Transient Stability Analysis for Grid Following Converters in Low-Inertia Power Systems by Direct Method
Fangyuan Sun, Ruisheng Diao, Ruiyuan Zeng +4
With the increased penetration of renewable energy and reduced proportion of synchronous generators, the low-inertia characteristics of todays power system become prominent, and th…
TVNet: A Novel Time Series Analysis Method Based on Dynamic Convolution and 3D-Variation
Chenghan Li, Mingchen Li, Ruisheng Diao
With the recent development and advancement of Transformer and MLP architectures, significant strides have been made in time series analysis. Conversely, the performance of Convolu…