694 citations · 819 across the 31 of their papers we have counts for
9 papers · 1 filter
Scalable Learning for Optimal Load Shedding Under Power Grid Emergency Operations
Yuqi Zhou, Jeehyun Park, Hao Zhu
Effective and timely responses to unexpected contingencies are crucial for enhancing the resilience of power grids. Given the fast, complex process of cascading propagation, correc…
Risk-Aware Learning for Scalable Voltage Optimization in Distribution Grids
Shanny Lin, Shaohui Liu, Hao Zhu
Real-time coordination of distributed energy resources (DERs) is crucial for regulating the voltage profile in distribution grids. By capitalizing on a scalable neural network (NN)…
Distributionally Robust Chance-Constrained Optimal Transmission Switching for Renewable Integration
Yuqi Zhou, Hao Zhu, Grani A. Hanasusanto
Increasing integration of renewable generation poses significant challenges to ensure robustness guarantees in real-time energy system decision-making. This work aims to develop a…
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…
Reinforcement Learning Based Optimal Battery Control Under Cycle-based Degradation Cost
Kyung-bin Kwon, Hao Zhu
Battery energy storage systems are providing increasing level of benefits to power grid operations by decreasing the resource uncertainty and supporting frequency regulation. Thus,…
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…
Inferring power system dynamics from synchrophasor data using Gaussian processes
Mana Jalali, Vassilis Kekatos, Siddharth Bhela +2
Synchrophasor data provide unprecedented opportunities for inferring power system dynamics, such as estimating voltage angles, frequencies, and accelerations along with power injec…
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…
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…