694 citations · 819 across the 31 of their papers we have counts for
31 papers
Topology-aware Piecewise Linearization of the AC Power Flow through Generative Modeling
Young-ho Cho, Hao Zhu
Effective power flow modeling critically affects the ability to efficiently solve large-scale grid optimization problems, especially those with topology-related decision variables.…
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…
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…
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…
Transmission Switching Under Wind Uncertainty Using Linear Decision Rules
Yuqi Zhou, Hao Zhu, Grani A. Hanasusanto
Increasing penetration of wind and renewable generation poses significant challenges to the power system operations and reliability. This paper considers the real-time optimal tran…
Enhancing the Spatio-Temporal Observability of Residential Loads
Shanny Lin, Hao Zhu
Enhancing the spatio-temporal observability of residential loads is crucial for achieving secure and efficient operations in distribution systems with increasing penetration of dis…
Fast Nonconvex SDP Solvers for Large-scale Power System State Estimation
Yu Lan, Hao Zhu, Xiaohong Guan
Fast power system state estimation (SE) solution is of paramount importance for achieving real-time decision making in power grid operations. Semidefinite programming (SDP) reformu…
Secure Integration of Electric Vehicles with the Power Grid
Chaitra Niddodi, Shanny Lin, Sibin Mohan +1
This paper focuses on the secure integration of distributed energy resources (DERs), especially pluggable electric vehicles (EVs), with the power grid. We consider the vehicle-to-g…
Optimal Power Flow with Step-Voltage Regulators in Multi-Phase Distribution Networks
Mohammadhafez Bazrafshan, Nikolaos Gatsis, Hao Zhu
This paper develops a branch-flow based optimal power flow (OPF) problem for multi-phase distribution networks that allows for tap selection of wye, closed-delta, and open-delta st…
Dynamic Distribution State Estimation Using Synchrophasor Data
Jianhan Song, Emiliano Dall'Anese, Andrea Simonetto +1
The increasing deployment of distribution-level phasor measurement units (PMUs) calls for dynamic distribution state estimation (DDSE) approaches that tap into high-rate measuremen…
Dynamic Power Distribution System Management With a Locally Connected Communication Network
Kaiqing Zhang, Wei Shi, Hao Zhu +2
Coordinated optimization and control of distribution-level assets can enable a reliable and optimal integration of massive amount of distributed energy resources (DERs) and facilit…
Distributed Equilibrium-Learning for Power Network Voltage Control With a Locally Connected Communication Network
Kaiqing Zhang, Wei Shi, Hao Zhu +1
In current power distribution systems, one of the most challenging operation tasks is to coordinate the network- wide distributed energy resources (DERs) to maintain the stability…
PSSE Redux: Convex Relaxation, Decentralized, Robust, and Dynamic Approaches
Vassilis Kekatos, Gang Wang, Hao Zhu +1
This chapter aspires to glean some of the recent advances in power system state estimation (PSSE), though our collection is not exhaustive by any means. The Cram{é}r-Rao bound, a l…
Hybrid Voltage Control in Distribution Networks Under Limited Communication Rates
Hao Jan Liu, Wei Shi, Hao Zhu
Voltage regulation in distribution networks is challenged by increasing penetration of distributed energy resources (DERs). Thanks to advancement in power electronics, these DERs c…