37 citations · 59 across the 12 of their papers we have counts for
12 papers
Design and Implementation of Scalable Communication Interfaces for Reliable and Stable Real-time Co-Simulation of Power Systems
Qi Xiao, Jongha Woo, Lidong Song +2
Co-simulation offers an integrated approach for modeling the large-scale integration of inverter-based resources (IBRs) into transmission and distribution grids. This paper present…
Invisible Manipulation Deep Reinforcement Learning Enhanced Stealthy Attacks on Battery Energy Management Systems
Qi Xiao, Lidong Song, Jongha Woo +4
This paper introduces "invisible manipulation," an innovative cyber-attack mechanism achieved through strategically timed stealthy false data injection attacks (SFDIAs). By stealth…
Assessment of Transmission-level Fault Impacts on 3-phase and 1-phase Distribution IBR Operation
Qi Xiao, Jongha Woo, Lidong Song +8
The widespread deployment of inverter-based resources (IBRs) renders distribution systems susceptible to transmission-level faults. This paper presents a comprehensive analysis of…
Under-frequency Load Shedding for Power Reserve Management in Islanded Microgrids
Bei Xu, Victor Paduani, Qi Xiao +3
This paper introduces under-frequency load shedding (UFLS) schemes specially designed to fulfill the power reserve requirements in islanded microgrids (MGs), where only one grid-fo…
A Novel Feeder-level Microgrid Unit Commitment Algorithm Considering Cold-load Pickup, Phase Balancing, and Reconfiguration
Rongxing Hu, Ashwin Shirsat, Valliappan Muthukaruppan +8
This paper presents a novel 2-stage microgrid unit commitment (Microgrid-UC) algorithm considering cold-load pickup (CLPU) effects, three-phase load balancing requirements, and fea…
Load Profile Inpainting for Missing Load Data Restoration and Baseline Estimation
Yiyan Li, Lidong Song, Yi Hu +4
This paper introduces a Generative Adversarial Nets (GAN) based, Load Profile Inpainting Network (Load-PIN) for restoring missing load data segments and estimating the baseline for…
An Iterative Bidirectional Gradient Boosting Approach for CVR Baseline Estimation
Han Pyo Lee, Yiyan Li, Lidong Song +2
This paper presents a novel Iterative Bidirectional Gradient Boosting Model (IBi-GBM) for estimating the baseline of Conservation Voltage Reduction (CVR) programs. In contrast to m…
MultiLoad-GAN: A GAN-Based Synthetic Load Group Generation Method Considering Spatial-Temporal Correlations
Yi Hu, Yiyan Li, Lidong Song +5
This paper presents a deep-learning framework, Multi-load Generative Adversarial Network (MultiLoad-GAN), for generating a group of synthetic load profiles (SLPs) simultaneously. T…
SA-HMTS: A Secure and Adaptive Hierarchical Multi-timescale Framework for Resilient Load Restoration Using A Community Microgrid
Ashwin Shirsat, Valliappan Muthukaruppan, Rongxing Hu +8
Distribution system integrated community microgrids (CMGs) can partake in restoring loads during extended duration outages. At such times, the CMG is challenged with limited resour…
A TCN-based Hybrid Forecasting Framework for Hours-ahead Utility-scale PV Forecasting
Yiyan Li, Lidong Song, Si Zhang +5
This paper presents a Temporal Convolutional Network (TCN) based hybrid PV forecasting framework for enhancing hours-ahead utility-scale PV forecasting. The hybrid framework consis…
ProfileSR-GAN: A GAN based Super-Resolution Method for Generating High-Resolution Load Profiles
Lidong Song, Yiyan Li, Ning Lu
It is a common practice for utilities to down-sample smart meter measurements from high resolution (e.g. 1-min or 1-sec) to low resolution (e.g. 15-, 30- or 60-min) to lower the da…
Maximum Power Reference Tracking Algorithm for Power Curtailment of Photovoltaic Systems
Victor Paduani, Lidong Song, Bei Xu +1
This paper presents an algorithm for power curtail-ment of photovoltaic (PV) systems under fast solar irradiance intermittency. Based on the Perturb and Observe (P&O) technique, th…