activity
20152021
most citedRoles of Dynamic State Estimation in Power System Modeling, Monitoring and Operation

233 citations · 249 across the 5 of their papers we have counts for

collaborators

5 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★ 233 cited

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…

eess.SY2017★ 8 cited

Decentralized Robust Control for Damping Inter-area Oscillations in Power Systems

Jianming Lian, Shaobu Wang, Ruisheng Diao +1

As power systems become more and more interconnected, the inter-area oscillations has become a serious factor limiting large power transfer among different areas. Underdamped (Unda…

physics.soc-ph2015★ 1 cited

Comparative Study of Clustering Techniques for Real-Time Dynamic Model Reduction

Emilie Purvine, Eduardo Cotilla-Sanchez, Mahantesh Halappanavar +4

Dynamic model reduction in power systems is necessary for improving computational efficiency. Traditional model reduction using linearized models or online analysis is not adequate…