Forced Oscillation Identification and Filtering from Multi-Channel Time-Frequency Representation

PABLO GILL ESTEVEZ; PABLO MARCHI; CECILIA G. GALARZA; FRANCISCO MESSINA

IEEE TRANSACTIONS ON POWER SYSTEMS

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC

Año: 2022

0885-8950

Location of non-stationary forced oscillation (FO) sources can be a challenging task, especially under resonance condition with natural system modes. In this case, the magnitudes of the oscillations could be greater in distant places from the source and the oscillation spreads over a large region of the power system. Frequency identification and filtering of FO oscillatory components constitutes an initial and critical step for the application of source location methods. Specifically, this step has a major impact on the performance of the localization method, such as the Dissipating Energy Flow (DEF) method. In this paper we develop a systematic methodology for frequency identification and component filtering of non-stationary power system FO based on multi-channel time-frequency (TF) representation (TFR). Besides, we compare three TF approaches applied together with the DEF method: short-time Fourier transform (STFT), STFT-based synchrosqueezing transform (FSST) and second order FSST (FSST2). We have used simulated signals and PMU data from real operation, and we have shown that the proposed method provides a systematic framework for the identification and filtering of power systems non-stationary forced oscillations.