12 citations · 21 across the 11 of their papers we have counts for
11 papers · 1 filter
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…