Operating smart grids by customizing large model agents
Abstract
Operating smart grids is becoming more difficult as renewable energy, electrification, and digital technologies make power systems more complex, data-rich, and fast-changing. This review explains how customizing large model agents for control room tasks could support human operators in monitoring conditions, coordinating across functions, and making timely decisions. It describes a practical pathway for operating smart grids with these agents, including task-focused data preparation, grounded use of grid knowledge, safety checks, staged deployment, and close human supervision. Together, these steps show how large model agents could be introduced into existing grid operations in a careful and useful way.
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