3 papers
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.SY2026
Emergency-Aware and Frequency-Constrained HVDC Planning for A Multi-Area Asynchronously Interconnected Grid
Yiliu He, Haiwang Zhong, Grant Ruan +2
High-voltage direct current (HVDC) technology has played a crucial role for long-distance transmission of renewable power generation. However, the integration of large-capacity HVD…
eess.SY2025
Spatially Dependent Sampling of Component Failures for Power System Preventive Control Against Hurricane
Ziyue Li, Guanglun Zhang, Grant Ruan +2
Preventive control is a crucial strategy for power system operation against impending natural hazards, and its effectiveness fundamentally relies on the realism of scenario generat…