3 papers
cs.AI2025
Offline Reinforcement Learning for Microgrid Voltage Regulation
Shan Yang, Yongli Zhu
This paper presents a study on using different offline reinforcement learning algorithms for microgrid voltage regulation with solar power penetration. When environment interaction…
eess.SY2024
Edge Computing for Microgrid via MATLAB Embedded Coder and Low-Cost Smart Meters
Linna Xu, Jian Huang, Shan Yang +1
In this paper, an edge computing-based machine-learning study is conducted for solar inverter power forecasting and droop control in a remote microgrid. The machine learning models…
eess.SY2024
Distributed Stochastic ACOPF Based on Consensus ADMM and Scenario Reduction
Shan Yang, Yongli Zhu
This paper presents a Consensus ADMM-based modeling and solving approach for the stochastic ACOPF. The proposed optimization model considers the load forecasting uncertainty and it…