This paper addresses the complexity of power grid operation behavior by developing a multi-scenario preview and dynamic verification method leveraging virtual reality (VR) technology. The method integrates real-time positioning data, operation ticket information, and environmental variables to construct an immersive 3D virtual scene that closely replicates actual grid equipment and conditions. Within this virtual environment, the behavior and responses of grid operators under various fault scenarios are simulated, enabling early risk identification and assessment. Dynamic verification algorithms are applied to validate operational behavior in real time, providing data-driven decision support for dispatchers. Experimental results demonstrate that the VR-based approach achieves a success rate of at least 85% in scenarios including line faults, equipment faults, load overload, and frequency fluctuations, with an average response time of 16.5 seconds and a behavior simulation recognition accuracy of about 90%. Additionally, the dynamic verification algorithm recorded a MAE (Mean Absolute Error) of 0.03 and an MSE (Mean Squared Error) of 0.002 within 60 seconds. These findings highlight the innovative integration of immersive VR and dynamic verification techniques, offering a robust tool for enhancing the safety and reliability of power grid operations.
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