Localization of Forced Oscillation Sources in Power Systems with Grid-Forming Wind Turbines Based on ICEEMDAN-ITEO

The integration of grid-forming wind turbines introduces forced oscillations and harmonic/inter-harmonic interference, which degrades the accuracy of traditional energy-flow-based source localization methods. To address this issue, this paper proposes a novel method based on improved complete ensemble empirical mode decomposition with Adaptive Noise (ICEEMDAN) and an improved Teager energy operator (ITEO). The proposed method first employs ICEEMDAN to adaptively decompose wide-area measurement signals, effectively suppressing mode mixing and noise. Then, ITEO is utilized to extract the dominant oscillation components. By incorporating an adjustable computation window, ITEO enhances frequency selectivity, amplifying force oscillations while suppressing high-frequency noise, leading to robust energy estimation. Following this, the dissipative modal energy flow is calculated from the reconstructed time-domain waveforms. Ultimately, the disturbance source is precisely identified based on the dissipative energy flow theory. The method is validated through extensive simulations on a multi-bus test system with grid-forming wind turbines, considering disturbances from both synchronous generator excitations and wind turbine internal controls, as well as in high-noise environments. Additional validation using a real-world oscillation event from the ISO New England system confirms that the proposed method achieves superior accuracy and robustness compared to conventional methods.