Identification of PMU Measurements-Based Low-Frequency Oscillation Modes in the IEEE 39 Bus System via DMD

The implementation of phasor measurement units (PMUs) in power grids has revolutionized the monitoring and management of power systems, allowing for precise voltage and current phasor measurements at high sampling rates. However, the increasing complexity and interconnectivity of power systems have led to the emergence of low-frequency oscillations, posing a significant threat to system stability. This article explores the use of the Dynamic Mode Decomposition (DMD) algorithm to accurately identify these oscillation modes from PMU measurements. Early detection of these oscillations is crucial for preventing potential blackouts and minimizing economic and societal impacts. The DMD technique is applied to an IEEE 10-Machine, 39-Bus system subjected to a fault, with real power flow measurements taken over specific lines. The methodology includes data collection, processing, and mode identification using the DMD algorithm. The algorithm effectively identifies dominant oscillation modes, their frequencies, and damping ratios, showcasing its potential for system analysis and control. This study demonstrates the applicability of the DMD algorithm to other power systems and its potential for real-time application and analysis of measurement noise impact.