Low-Frequency Oscillation Mode Identification with OpenPDC Platform

Low frequency oscillation in power system may cause system failure and blackout. It is possible to avoid low frequency oscillation if we can detect the oscillation mode with low damping in early stage. This paper presents the Frequency Domain Decomposition (FDD) method, which can extract the low frequency oscillation modes from ambient measurement data of Phasor Measurement Units(PMU). The parameters of mode shape from poorly damped oscillation modes, such as damping ratio and modal frequency, can be directly determined from ambient PMU measurements. Then this paper presents the implementation of oscillation mode identification application with OpenPDC platform, which is an open-source platform and provides an easy-to-use test platform for phasor measurement application. The case study shows that the implementation of Oscillation Mode Identification module with FDD method and OpenPDC platform is very efficient for processing large quantity of PMU data and identify low frequency oscillation mode, which is key to take early actions avoiding low-frequency oscillation in power system.