12 citations · 22 across the 5 of their papers we have counts for
5 papers
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…
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 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…
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…
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…