7 citations · 7 across the 2 of their papers we have counts for
3 papers
math.OC2021
Quantifying Bounds of Model Gap for Synchronous Generators
Peng Wang, Shaobu Wang, Renke Huang +1
In practice, uncertainties in parameters and model structures always cause a gap between a model and the corresponding physical entity. Hence, to evaluate the performance of a mode…
eess.SP2020
Roles of Dynamic State Estimation in Power System Modeling, Monitoring and Operation
Junbo Zhao, Marcos Netto, Zhenyu Huang +13
Power system dynamic state estimation (DSE) remains an active research area. This is driven by the absence of accurate models, the increasing availability of fast-sampled, time-syn…
eess.SP2019★ 7 cited
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…