12 citations · 21 across the 11 of their papers we have counts for
11 papers
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…
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-…
Design Considerations of a Coordinative Demand Charge Mitigation Strategy
Rongxing Hu, Kai Ye, Hyeonjin Kim +4
This paper presents a coordinative demand charge mitigation (DCM) strategy for reducing electricity consumption during system peak periods. Available DCM resources include batterie…
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…
An ICA-Based HVAC Load Disaggregation Method Using Smart Meter Data
Hyeonjin Kim, Kai Ye, Han Pyo Lee +4
This paper presents an independent component analysis (ICA) based unsupervised-learning method for heat, ventilation, and air-conditioning (HVAC) load disaggregation using low-reso…
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 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 Meta-learning based Distribution System Load Forecasting Model Selection Framework
Yiyan Li, Si Zhang, Rongxing Hu +1
This paper presents a meta-learning based, automatic distribution system load forecasting model selection framework. The framework includes the following processes: feature extract…