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20242026
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eess.SY2026

A Process-Aware Demand Response Evaluation Framework for Hydrogen-Integrated Zero-Carbon Steel Plants Coupled with Methanol Production

Qiang Ji, Lin Cheng, Yue Zhou +4

High penetration of renewables (RES) and the retirement of thermal units aggravate flexibility scarcity in power systems. Hydrogen-based low-carbon steel production systems possess…

eess.SY2026

Full Timescale Hierarchical MPC-MTIP Framework for Hybrid Energy Storage Management in Low-Carbon Industrial Microgrid

Daniyaer Paizulamu, Lin Cheng, Ning Qi +2

Uncertainties in balancing generation and load in low-carbon industrial microgrids (IMGs) make hybrid energy storage systems (HESS) crucial for their stable and economic operation.…

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

A Weighted Predict-and-Optimize Framework for Power System Operation Considering Varying Impacts of Uncertainty

Yingrui Zhuang, Lin Cheng, Can Wan +3

Prediction deviations of different uncertainties have varying impacts on downstream decision-making. Improving the prediction accuracy of critical uncertainties with significant im…

eess.SY2024

Grid-Aware Real-Time Dispatch of Microgrid with Generalized Energy Storage: A Prediction-Free Online Optimization Approach

Kaidi Huang, Lin Cheng, Ning Qi +3

This paper proposes a novel prediction-free two-stage coordinated dispatch framework for the real-time dispatch of grid-connected microgrid with generalized energy storages (GES).…