Oscillation detection, characterization and source localization

h3Oscillation detection, characterization and source localization /h3pPower 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. /ppThis 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. /ppbObjectives: /b /pulliDevelop algorithms for real-time oscillation detection using PMU data. /liliCharacterize oscillation modes in terms of frequency, damping ratio, and energy contribution. /liliImplement source identification techniques to locate the origin of oscillations. /liliEvaluate performance using synthetic or real-world PMU datasets. /li /ulh3bTasks /b /h3ullibLiterature Review: /b Study existing methods for oscillation detection and modal analysis using PMUs. Review signal processing and machine learning approaches relevant to the problem. /lilibData Acquisition and Preprocessing: /b Obtain PMU data (from open datasets or simulations such as IEEE test systems). Preprocess data for noise filtering and synchronization. /lilibOscillation Detection: /b Implement algorithms to detect sustained or growing oscillations (e.g., FFT, Prony, or AR-based methods). Compare detection accuracy and computational performance. /lilibOscillation Characterization: /b Extract modal parameters such as frequency, damping ratio, and mode shape. Visualize time-domain and frequency-domain characteristics. /lilibSource Identification: /b Apply energy-based or participation factor-based methods to locate oscillation sources. Validate using test scenarios or benchmark systems. /lilibEvaluation and Reporting: /b Analyze results and compare algorithm performance. Prepare a final report and presentation summarizing findings, challenges, and recommendations. /li /ulpThis project, could be developed in full or partly during a single student project. /ph3bRequired skills /b /h3ulliStrong background in bpower systems /b and bpower system dynamics /b. /liliFamiliarity with bphasor measurement units (PMUs) /b and bsynchrophasor data /b. /liliKnowledge of bsignal processing /b (e.g., FFT, Prony, wavelet, spectral analysis). /liliProgramming proficiency in bMATLAB /b, bPython /b, or similar environments. /liliUnderstanding of bmachine learning /b techniques (optional but beneficial). /liliAbility to perform bdata analysis /b and bvisualization /b. /li /ulh3bOther benefits and/or compensation /b /h3pDepending on the final project type, scope and deliverables, Zaphiro may consider providing additional adequate compensation. /p