6 citations · 14 across the 8 of their papers we have counts for
12 papers
Dynamic Response Recovery Using Ambient Synchrophasor Data: A Synthetic Texas Interconnection Case Study
Shaohui Liu, Hao Zhu, Vassilis Kekatos
Wide-area dynamic studies are of paramount importance to ensure the stability and reliability of power grids. This paper puts forth a comprehensive framework for inferring the dyna…
Data-driven Modeling for Distribution Grids Under Partial Observability
Shanny Lin, Hao Zhu
Accurately modeling power distribution grids is crucial for designing effective monitoring and decision making algorithms. This paper addresses the partial observability issue of d…
Graph Neural Networks for Learning Real-Time Prices in Electricity Market
Shaohui Liu, Chengyang Wu, Hao Zhu
Solving the optimal power flow (OPF) problem in real-time electricity market improves the efficiency and reliability in the integration of low-carbon energy resources into the powe…
Enhancing the Spatio-temporal Observability of Grid-Edge Resources in Distribution Grids
Shanny Lin, Hao Zhu
Enhancing the spatio-temporal observability of distributed energy resources (DERs) is crucial for achieving secure and efficient operations in distribution grids. This paper puts f…
Efficient Identification of Bus Split Events Using Synchrophasor Data
Yuqi Zhou, Hao Zhu
Accurate grid topology information is of paramount importance for routine power system operations, while the growing availability of synchrophasor data offers the opportunity to id…
Substation-Level Grid Topology Optimization Using Bus Splitting
Yuqi Zhou, Ahmed S. Zamzam, Andrey Bernstein +1
Operations of substation circuit breakers are important for maintenance needs and topology reconfiguration in power systems. Bus splitting is one type of topology change where the…