29 citations · 70 across the 14 of their papers we have counts for
14 papers
Multi-Feeder Restoration using Multi-Microgrid Formation and Management
Valliappan Muthukaruppan, Rongxing Hu, Ashwin Shirsat +4
This papers highlights the benefit of coordinating resources on mulitple active distribution feeders during severe long duration outages through multi-microgrid formation. A graph-…
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…
Optimal Control Design for Operating a Hybrid PV Plant with Robust Power Reserves for Fast Frequency Regulation Services
Victor Paduani, Qi Xiao, Bei Xu +2
This paper presents an optimal control strategy for operating a solar hybrid system consisting of solar photovoltaic (PV) and a high-power, low-storage battery energy storage syste…
Feeder Microgrid Management on an Active Distribution System during a Severe Outage
Valliappan Muthukaruppan, Ashwin Shirsat, Rongxing Hu +7
Forming a microgrid on a distribution system with large scale outage after a severe weather event is emerging as a viable solution to improve resiliency at the distribution level.…
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…
Reinforcement Learning for Volt-Var Control: A Novel Two-stage Progressive Training Strategy
Si Zhang, Mingzhi Zhang, Rongxing Hu +3
This paper develops a reinforcement learning (RL)approach to solve a cooperative, multi-agent Volt-Var Control (VVC) problem for high solar penetration distribution systems. The in…
A Novel Grid-forming Voltage Control Strategy for Supplying Unbalanced Microgrid Loads Using Inverter-based Resources
Bei Xu, Victor Paduani, Hui Yu +2
This paper presents a novel grid-forming voltage control strategy for a battery energy storage system to maintain balanced three-phase output voltages when serving unbalanced loads…
Novel Real-Time EMT-TS Modeling Architecture for Feeder Blackstart Simulations
Victor Paduani, Bei Xu, David Lubkeman +1
This paper presents the development and benchmarking of a novel real-time electromagnetic-transient and transient-stability (EMT-TS) modeling architecture for distribution feeder r…
A Load Switching Group based Feeder-level Microgrid Energy Management Algorithm for Service Restoration in Power Distribution System
Rongxing Hu, Yiyan Li, Si Zhang +6
This paper presents a load switching group based energy management system (LSG-EMS) for operating microgrids on a distribution feeder powered by one or multiple grid-forming distri…
Hierarchical Multi-timescale Framework For Operation of Dynamic Community Microgrid
Ashwin Shirsat, Valliappan Muthukaruppan, Rongxing Hu +4
Distribution system integrated community microgrids (CMGs) can restore loads during extended outages. The CMG is challenged with limited resource availability, absence of a robust…
A Regression-based Voltage Estimation Method for Distribution Volt-Var Control with Limited Data
Catie McEntee, Ning Lu, David Lubkeman
This paper presents a regression-based method for estimating voltages and voltage sensitivities for volt-var control on distribution circuits with limited data. The estimator uses…
Diesel Generator Model Parameterization for Microgrid Simulation Using Hybrid Box-Constrained Levenberg-Marquardt Algorithm
Qian Long, Hui Yu, Fuhong Xie +2
Existing generator parameterization methods, typically developed for large turbine generator units, are difficult to apply to small kW-level diesel generators in microgrid applicat…
FeederGAN: Synthetic Feeder Generation via Deep Graph Adversarial Nets
Ming Liang, Yao Meng, Jiyu Wang +2
This paper presents a novel, automated, generative adversarial networks (GAN) based synthetic feeder generation mechanism, abbreviated as FeederGAN. FeederGAN digests real feeder m…