4 papers
Agentic Application in Power Grid Static Analysis: Automatic Code Generation and Error Correction
Qinjuan Wang, Shan Yang, Yongli Zhu
This paper introduces an LLM agent that automates power grid static analysis by converting natural language into MATPOWER scripts. The framework utilizes DeepSeek-OCR to build an e…
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…
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…
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…