This page only lists the papers of which the first author was/is an "ACTIVE CURRENT" member in the RPG Lab (since 2018).

2024

Assessing the Impact of Electric Vehicle Charging on Residential Distribution Grids

Elias Raffoul et al, arXiv, 2024.

Comparative Analysis of Machine Learning Models for Short-Term Distribution System Load Forecasting

Elias Raffoul et al, arXiv, 2024.

Analysis of Learning-based Offshore Wind Power Prediction Models with Various Feature Combinations

Linhan Fang et al, arXiv, 2024.

Constraints and Variables Reduction for Optimal Power Flow Using Hierarchical Graph Neural Networks with Virtual Node-Splitting

Thuan Pham et al, arXiv, 2024.

Graph Neural Network-Accelerated Network-Reconfigured Optimal Power Flow

Thuan Pham et al, arXiv, 2024.

Hierarchical Deep Learning Model for Degradation Prediction per Look-Ahead Scheduled Battery Usage Profile

Cunzhi Zhao et al, IEEE Transactions on Smart Grid, 2024.

Transmission Expansion Planning for Renewable-Energy-Dominated Power Grids Considering Climate Impact

Jin Lu et al, Journal of Modern Power Systems and Clean Energy, 2024.

LSTM-Based Net Load Forecasting for Wind and Solar Power-Equipped Microgrids

Jesus Silva-Rodriguez, Elias Raffoul et al, North American Power Symposium, 2024.

Spatio-Temporal Deep Learning-Assisted Reduced Security-Constrained Unit Commitment

Arun Venkatesh Ramesh et al, IEEE Transactions on Power Systems, 2024.

Solar Power Generation Profile Estimation for Lunar Surface Solar PV Systems

Jesus Silva-Rodriguez et al, arXiv, 2024.

N-1 Reduced Optimal Power Flow Using Augmented Hierarchical Graph Neural Network

Thuan Pham et al, arXiv, 2024.

Analysis of Weather and Time Features in Machine Learning-aided ERCOT Load Forecasting

Jonathan Yang et al, Texas Power and Energy Conference, 2024.

Optimal Planning of PV and Battery Resources in Remote Microgrids Considering Degradation Costs: An Iterative Post-Optimization Correction-based Approach

Hassan Zahid Butt et al, arXiv, 2024.

Decentralized Micro Water-Energy Co-Optimization for Small Communities

Jesus Silva-Rodriguez et al, Electric Power Systems Research, 2024.

Microgrid Optimal Energy Scheduling Considering Neural Network based Battery Degradation

Cunzhi Zhao et al, IEEE Transactions on Power Systems, 2024.

Feasibility Layer Aided Machine Learning Approach for Day-Ahead Operations

Arun Venkatesh Ramesh et al, IEEE Transactions on Power Systems, 2024.

2023

Power and Hydrogen Hybrid Transmission for Renewable Energy Systems: An Integrated Expansion Planning Strategy

Jin Lu et al, arXiv, 2023.

Linearization of ReLU Activation Function for Neural Network-Embedded Optimization:Optimal Day-Ahead Energy Scheduling

Cunzhi Zhao et al, arXiv, 2023.

Computational Enhancement for Day-Ahead Energy Scheduling with Sparse Neural Network-based Battery Degradation Model

Cunzhi Zhao et al, arXiv, 2023.

Evaluation of Battery Energy Storage System to Provide Virtual Transmission Service

Qiushi Wang et al, arXiv 2023.

Security-Constrained Unit Commitment Considering Locational Frequency Stability in Low-Inertia Power Grids

Mingjian Tuo et al, IEEE Transactions on Power Systems, 2023.

Convolutional Neural Network-based RoCoF-Constrained Unit Commitment

Mingjian Tuo et al, arXiv, 2023.

Active Linearized Sparse Neural Network-based Frequency-Constrained Unit Commitment

Mingjian Tuo et al, arXiv:2307.04880, 2023.

Annual Benefit Analysis of Integrating the Seasonal Hydrogen Storage into the Renewable Power Grids

Jin Lu et al, IEEE PES General Meeting, 2023.

Selectively Linearized Neural Network based RoCoF-Constrained Unit Commitment in Low-Inertia Power Systems

Mingjian Tuo et al, North American Power Symposium, 2023.

Graph Neural Network-based Power Flow Model

Mingjian Tuo et al, North American Power Symposium, 2023.

Optimal Sizing of On-site Renewable Resources for Offshore Microgrids

Ann Mary Toms et al, North American Power Symposium, 2023.

Optimal Dynamic Reconfiguration of Distribution Networks

Rida Fatima et al, North American Power Symposium, 2023.

Cost-Benefit Analysis and Comparisons for Different Offshore Wind Energy Transmission Systems

Jesus Silva-Rodriguez, Jin Lu et al, Offshore Technology Conference 2023.

Machine Learning Assisted Inertia Estimation using Ambient Measurements

Mingjian Tuo et al, IEEE Transactions on Industry Applications, 2023.

Privacy-Preserving Decentralized Energy Management for Networked Microgrids via Objective-Based ADMM

Jesus Silva-Rodriguez et al, arXiv 2023.

A Synthetic Texas Backbone Power System with Climate-Dependent Spatio-Temporal Correlated Profiles

Jin Lu et al, arXiv, 2023.

Quality Analysis of Battery Degradation Models with Real Battery Aging Experiment Data

Cunzhi Zhao et al, Texas Power and Energy Conference, 2023.

Microgrid Optimal Energy Scheduling with Risk Analysis

Ali Siddique, Cunzhi Zhao et al, Texas Power and Energy Conference, 2023.

Resilient Operational Planning for Microgrids Against Extreme Events

Cunzhi Zhao, Jesus Silva-Rodriguez et al, Hawaii International Conference on System Sciences, 2023.

2022

Deep Learning based Security-Constrained Unit Commitment Considering Locational Frequency Stability in Low-Inertia Power Systems

Mingjian Tuo et al, North American Power Symposium, 2022.

A 100% Renewable Energy System: Enabling Zero CO2 Emission Offshore Platforms

Cunzhi Zhao et al, North American Power Symposium, 2022.

Centralized Networked Micro Water-Energy Nexus with Proportional Exchange Among Participants

Jesus Silva-Rodriguez et al, North American Power Symposium, 2022.

An Alternative Method for Solving Security-Constrained Unit Commitment with Neural Network Based Battery Degradation Model

Cunzhi Zhao et al, North American Power Symposium, 2022.

The Benefits of Hydrogen Energy Transmission and Conversion Systems to the Renewable Power Grids: Day-ahead Unit Commitment

Jin Lu et al, North American Power Symposium, 2022.

Reduced Optimal Power Flow Using Graph Neural Network

Thuan Pham et al, North American Power Symposium, 2022.

Quantitative Analysis of Demand Response Using Thermostatically Controlled Loads

Praveen Dhanasekar, Cunzhi Zhao et al, IEEE PES Innovative Smart Grid Technology, 2022.

Machine Learning Assisted Model Reduction for Security-Constrained Unit Commitment

Arun Venkatesh Ramesh et al, North American Power Symposium, 2022.

Wholesale Electricity Price Forecasting using Integrated Long-term Recurrent Convolutional Network Model

Vasudharini Sridharan, Mingjian Tuo et al, Energies, 2022.

Neural Network-based Power Flow Model

Thuan Pham et al, IEEE Green Technology Conference, 2022.

An Accelerated-Decomposition Approach for Security-Constrained Unit Commitment with Corrective Network Reconfiguration

Arun Venkatesh Ramesh et al, IEEE Transactions on Power Systems, 2022.

Long-term Recurrent Convolutional Networks-based Inertia Estimation using Ambient Measurements

Mingjian Tuo et al, IEEE IAS Annual Meeting, 2022.

2021

Optimal Allocation of Virtual Inertia Devices for Enhancing Frequency Stability in Low-Inertia Power Systems

Mingjian Tuo et al, North American Power Symposium (NAPS), 2021.

Optimal Skeleton Network Reconfiguration considering Topological Characteristics and Transmission Path

Jin Lu et al, 53rd North American Power Symposium, 2021.

Water-Energy Co-Optimization for Community-Scale Microgrids

Jesus Silva-Rodriguez et al, IEEE North American Power Symposium, 2021.

A Novel Real-Time Energy Management Strategy for Grid-Supporting Microgrid: Enabling Flexible Trading Power

Cunzhi Zhao et al, IEEE PES General Meeting, 2021.

Network Reconfiguration Impact on Renewable Energy System and Energy Storage System in Day-Ahead Scheduling

Arun Venkatesh Ramesh et al, IEEE PES General Meeting, 2021.

Dynamic Estimation of Power System Inertia Distribution Using Synchrophasor Measurements

Mingjian Tuo et al, 52nd North American Power Symposium (NAPS), 2021.

A Novel Real-Time Energy Management Strategy for Grid-Friendly Microgrid: Harnessing Internal Fluctuation Internally

Cunzhi Zhao et al, 52nd North American Power Symposium (NAPS), 2020.

Enhancing System Flexibility through Corrective Demand Response in Security-Constrained Unit Commitment

Arun Venkatesh Ramesh et al, North American Power Symposium (NAPS), 2020.

2020

Benefits and Cyber-Vulnerability of Demand Response System in Real-Time Grid Operations

Mingjian Tuo, Arun Venkatesh Ramesh et al, IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids, 2020.

Stochastic Optimal Power Flow with Network Reconfiguration: Congestion Management and Facilitating Grid Integration of Renewables

Xingpeng Li et al, IEEE PES T&D Conference & Exposition, 2020.

Sensitivity Factors based Transmission Network Topology Control for Violation Relief

Xingpeng Li et al, IET Generation, Transmission and Distribution, 2020.

Reducing Congestion-Induced Renewable Curtailment with Corrective Network Reconfiguration in Day-Ahead Scheduling

Arun Venkatesh Ramesh et al, IEEE PES General Meeting, 2020.

Fast Heuristic AC Power Flow Analysis with Data-Driven Enhanced Linearized Model

Xingpeng Li, Energies, 2020.

Enhancing Power System Cyber-Security with Systematic Two-Stage Detection Strategy

Xingpeng Li et al, IEEE Transactions on Power Systems, 2020.

Power System Expansion Planning with Seasonal Network Optimization

Xingpeng Li et al, Innovative Smart Grid Technologies (ISGT), 2020.

2019 and earlier

Enhanced Energy Management System with Corrective Transmission Switching Strategy— Part II: Results and Discussion

Xingpeng Li et al, IEEE Transactions on Power Systems, 2019.

Enhanced Energy Management System with Corrective Transmission Switching Strategy— Part I: Methodology

Xingpeng Li et al, IEEE Transactions on Power Systems, 2019.

Security Constrained Unit Commitment with Corrective Transmission Switching

Arun Venkatesh Ramesh et al, North American Power Symposium (NAPS), 2019.

Real-Time Contingency Analysis with Correct Transmission Switching

Xingpeng Li et al, IEEE Transactions on Power Systems, 2017.

A Data-driven Heuristic for Corrective Transmission Switching

Xingpeng Li et al, North American Power Symposium (NAPS), 2016.

Harnessing Flexible Transmission: Corrective Transmission Switching for ISO-NE

Joshua D. Lyon et al, IEEE Power and Energy Technology Systems Journal, 2016.

Fast Heuristics for Transmission Outage Coordination

Xingpeng Li et al, Power Systems Computation Conference (PSCC), 2016.

Real-Time Contingency Analysis with Transmission Switching on Real Power System Data

Mostafa Sahraei-Ardakani, Xingpeng Li et al, IEEE Transactions on Power Systems, 2016.

Towards Smart Corrective Switching: Analysis and Advancement of PJM’s Switching Solutions

Pranavamoorthy Balasubramanian et al, IET Generation, Transmission, and Distribution, 2016.

Effect of Topology Control on System Reliability: TVA Test Case

Xingpeng Li et al, CIGRE US National Committee Grid of the Future Symposium, 2014.

An Efficient PMU-based Fault Location Technique for Multi-Terminal Transmission Lines

Quanyuan Jiang et al, IEEE Transactions on Power Delivery, 2014.

A Hierarchical Energy Management Strategy for Grid-connected Microgrid

Xingpeng Li et al, IEEE PES General Meeting, 2014.

Optimal configuration of standalone wind-solar-storage power supply system

Quanyuan Jiang et al, Electric Power Automation Equipment, 2013.

A Fuzzy Logical MPPT Control Strategy for PMSG Wind Generation System

Xingpeng Li et al, Journal of Electronic Science and Technology, 2013.

Application of double fuzzy control in MPPT of grid-connected photovoltaic generation system

Xingpeng Li et al, Electric Power Automation Equipment, 2012.

PMU-Based Fault Location Using Voltage Measurements in Large Transmission Networks

Quanyuan Jiang, Xingpeng Li et al, IEEE Transactions on Power Delivery, 2012.