11 citations · 21 across the 12 of their papers we have counts for
6 papers · 1 filter
A Unified Approach for Learning the Dynamics of Power System Generators and Inverter-based Resources
Shaohui Liu, Weiqian Cai, Hao Zhu +1
The growing prevalence of inverter-based resources (IBRs) for renewable energy integration and electrification greatly challenges power system dynamic analysis. To account for both…
Data-driven Forced Oscillation Localization using Inferred Impulse Responses
Shaohui Liu, Hao Zhu, Vassilis Kekatos
Poorly damped oscillations pose threats to the stability and reliability of interconnected power systems. In this work, we propose a comprehensive data-driven framework for inferri…
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…
Topology-aware Graph Neural Networks for Learning Feasible and Adaptive ac-OPF Solutions
Shaohui Liu, Chengyang Wu, Hao Zhu
Solving the optimal power flow (OPF) problem is a fundamental task to ensure the system efficiency and reliability in real-time electricity grid operations. We develop a new topolo…
A Dynamic Response Recovery Framework Using Ambient Synchrophasor Data
Shaohui Liu, Hao Zhu, Vassilis Kekatos
Wide-area dynamic studies are of paramount importance to ensure the stability and reliability of power grids. The rising deployment synchrophasor and other sensing technologies has…
Probabilistic analysis of masked loads with aggregated photovoltaic production
Shaohui Liu, Daniel Adrian Maldonado, Emil M. Constantinescu
In this paper we present a probabilistic analysis framework to estimate behind-the-meter photovoltaic generation in real time. We develop a forward model consisting of a spatiotemp…