17 citations · 35 across the 4 of their papers we have counts for
4 papers
Parameters Calibration for Power Grid Stability Models using Deep Learning Methods
Renke Huang, Rui Fan, Tianzhixi Yin +2
This paper presents a novel parameter calibration approach for power system stability models using automatic data generation and advanced deep learning technology. A PMU-measuremen…
Adaptive Power System Emergency Control using Deep Reinforcement Learning
Qiuhua Huang, Renke Huang, Weituo Hao +3
Power system emergency control is generally regarded as the last safety net for grid security and resiliency. Existing emergency control schemes are usually designed off-line based…
Convolutional Neural Network and Transfer Learning for High Impedance Fault Detection
Rui Fan, Tianzhixi Yin
This letter presents a novel high impedance fault (HIF) detection approach using a convolutional neural network (CNN). Compared to traditional artificial neural networks, a CNN off…
A Comparative Study of Interface Techniques for Transmission and Distribution Dynamic Co-Simulation
Qiuhua Huang, Renke Huang, Rui Fan +5
Transmission and distribution dynamic co-simulation is a practical and effective approach to leverage existing simulation tools for transmission and distribution systems to simulat…