Junbo Zhao

Assistant Professor

University of Connecticut

United States

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Junbo Zhao is an Assistant Professor at the University of Connecticut, USA. His research areas include power system dynamics, control, and optimization, particularly focusing on advanced distribution systems with renewable energy sources. Recent publications highlight his work on state estimation for grid-forming inverters and the integration of cyber-physical systems in power operations.

Junbo Zhao

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Articles (30)

A New Distribution Line Parameter Correction Model Using Field Recloser Data

A Robust and Reduced-Order Power System Dynamic State Estimator for Grid-Forming Inverters

Analytic Neural Network Gaussian Process Enabled Chance-Constrained Voltage Regulation for Active Distribution Systems With PVs, Batteries and EVs

CaCOM: customizing text-to-image diffusion models in the wild via continual active selection

Cyber-Physical Interdependence for Power System Operation and Control

Data-driven control, optimization, and decision-making in active power distribution networks

Explainable multi-fidelity Bayesian neural network for distribution system state estimation

Identifying Wind Farm Parameters via Dynamic Mode Decomposition With Control

Power System Dynamic State Estimation of Grid-Forming Inverters With Current Limiter

A High Computationally Efficient Parallel Partial Gaussian Process for Large-Scale Power System Probabilistic Transient Stability Assessment

A Lagrange-Multiplier-Based Reliability Assessment for Power Systems Considering Topology and Injection Uncertainties

A Physics-Guided Graph Convolution Neural Network for Optimal Power Flow

Amortized Bayesian Parameter Estimation Approach for WECC Composite Load Model

Deep Multi-Fidelity Bayesian Data Fusion for Probabilistic Distribution System Voltage Estimation with High Penetration of PVs

Deep Sigma Point Processes-Assisted Chance-Constrained Power System Transient Stability Preventive Control

Detection and Correction of PMU Angle Deviation for Double-Circuit Line Using Reactive Power Measurements

Forecasting-Aided Joint Topology/State Estimation for Distribution Systems via Bayesian Non-Parametric Modeling

Modular Linear Power Flow Model Against Large Fluctuations

Online Model-Free DER Dispatch Via Adaptive Voltage Sensitivity Estimation and Chance Constrained Programming

Distribution System Behind-the-Meter DERs: Estimation, Uncertainty Quantification, and Control

Power system inertia estimation: Review of methods and the impacts of converter-interfaced generations

A Power System Disturbance Classification Method Robust to PMU Data Quality Issues

A generalized computationally efficient copula-polynomial chaos framework for probabilistic power flow considering nonlinear correlations of PV injections

A specialized review on outlook of future Cyber-Physical Power System (CPPS) testbeds for securing electric power grid

Decentralized robust state estimation for hybrid AC/DC distribution systems with smart meters

Deep Belief Network Enabled Surrogate Modeling for Fast Preventive Control of Power System Transient Stability

Model-free voltage control of active distribution system with PVs using surrogate model-based deep reinforcement learning

Power system anomaly detection using innovation reduction properties of iterated extended kalman filter

A Data-Driven Global Sensitivity Analysis Framework for Three-Phase Distribution System with PVs

A Hybrid Agent-based Model Predictive Control Scheme for Smart Community Energy System with Uncertain DGs and Loads

Collaborators (3)

Ioannis Zografopoulos

Rabab Haider

Marcos Netto

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