Monitoring the Power System Operating State using 3D Visualization based on PMU Data

The System Operator of the United Power System of Russia (SO UPS) has operated a dynamic monitoring system. A key feature of the system is its ability to generate an intuitive visualization for dispatch personnel, displaying the distribution and status of operating parameters across all power system nodes. This paper examines the problem of ensuring the high situational awareness for dispatch personnel in real-time monitoring, particularly during fast transients. A monitoring system is presented, which utilizes PMU data-driven 3D visualization to display results. The system’s architecture, technical implementation aspects, image rendering algorithms and required data preprocessing methods are described. The paper also provides a detailed explanation of algorithms for islanding detection of power system segments; power imbalance identification and disturbance source localization; detection of LFO sources; out-of-step condition identification via visual analysis of 3D voltage angle difference surfaces. Case studies demonstrating the system’s performance under various operational scenarios are included.