Power system oscillations—whether caused by faults, control interactions, or generator dynamics—can threaten grid stability and reliability. Phasor Measurement Units (PMUs) provide high-resolution, time-synchronized measurements that enable real-time monitoring and analysis of such oscillations.
This project aims to develop a data-driven framework using PMU data to detect, characterize, and identify the source of oscillations in a power system. The project will explore algorithms for oscillation detection (e.g., Prony analysis, spectral methods, machine learning), estimate modal characteristics (frequency, damping, mode shape), and propose approaches to pinpoint the most likely source or contributing element of the oscillation.
Objectives:
- Develop algorithms for real-time oscillation detection using PMU data.
- Characterize oscillation modes in terms of frequency, damping ratio, and energy contribution.
- Implement source identification techniques to locate the origin of oscillations.
- Evaluate performance using synthetic or real-world PMU datasets.
Depending on the final project type, scope and deliverables, Zaphiro may consider providing additional adequate compensation.
