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Invited Seminar by Dr. Minsung Ko
Dr. Minsung Ko of The University of Texas at Austin introduced the rapid load growth, variability, and power-system stability issues that may arise from the grid integration of large-scale AI data centers. He discussed detailed load modeling, flexible operating strategies, and future research needs, as well as potential applications of AI in power-system research.
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Dr. Minsung Ko of The University of Texas at Austin discussed the rapid load growth, uncertainty and variability in electricity demand, and power-system stability and reliability issues that may arise as large-scale AI data centers are connected to the grid. He explained the need for load models that accurately represent data-center dynamics, coordinated operation between the grid and data centers, the utilization of flexible loads, and systematic interconnection studies. He also shared his research findings and discussed how AI can be applied to data analysis, modeling, simulation-result interpretation, and optimization. The seminar provided practical examples and detailed guidance on how participants could incorporate AI-based methodologies into their own research.
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