works on

From the 1 of 6 linked papers with an AI index.

collaborators

6 papers

eess.SY2026

Process-Knowledge-Embedded Safe DRL for Real-Time Dispatch of Process Loads in Industrial Microgrids

Daniyaer Paizulamu, Lin Cheng, Fashun Shi +2

Steelmaking process loads (SPLs) are flexible resources that enhance local renewable-energy utilization and reduce electricity procurement costs in industrial microgrids. However,…

eess.SY2026

Optimal sizing of a hydrogen-based direct reduced iron-electric arc furnace system integrated with methanol synthesis toward zero-carbon steel production

Qiang Ji, Fashun Shi, Lin Cheng +4

The paper develops a fractional‑programming model to optimally size a hydrogen‑based direct reduced iron and electric arc furnace system integrated with methanol synthesis, evaluat…

eess.SY2026

Reference-Free Heterogeneous Multi-Agent Reinforcement Learning for Grid-Friendly Tie-Line Power Shaping in Industrial Microgrids

Daniyaer Paizulamua, Lin Cheng, Fashun Shi +3

Tie-line power (TLP) shaping is a key requirement for the grid-friendly operation of industrial microgrids (IMGs). This paper studies the coordination of multi-timescale heterogene…

eess.SY2025

MoE-GraphSAGE-Based Integrated Evaluation of Transient Rotor Angle and Voltage Stability in Power Systems

Kunyu Zhang, Guang Yang, Fashun Shi +2

The large-scale integration of renewable energy and power electronic devices has increased the complexity of power system stability, making transient stability assessment more chal…

eess.SY2025

Real-Time Peer-to-Peer Energy Trading for Multi-Microgrids: Improved Double Auction Mechanism and Prediction-Free Online Trading Approach

Kaidi Huang, Lin Cheng, Yue Zhou +4

Peer-to-peer energy trading offers a promising solution for enhancing renewable energy utilization and economic benefits within interconnected microgrids. However, existing real-ti…

eess.SY2025

Energy-carbon comprehensive efficiency evaluation of hydrogen metallurgy system considering low-temperature waste heat recovery

Qiang Ji, Lin Cheng, Zeng Liang +4

To address the lack of energy-carbon efficiency evaluation and the underutilization of low-temperature waste heat in traditional direct reduction iron (DRI) production, this paper…