Accurate estimation of wideband oscillation parameters in power systems can provide essential technical support for oscillation suppression. However

because wideband oscillations share similar frequency ranges with harmonics and interharmonics

extending existing subsynchronous/supersynchronous oscillation estimation to wideband oscillation estimation requires not only overcoming spectrum leakage from the fundamental frequency

but also addressing the coupling and damping characteristics of wideband oscillations. To this end

a window-adjusted interpolated fast Fourier transform (IFFT) and least squares (LS) method are proposed for wideband oscillation estimation. First

the window function is adjusted using a rotation factor

and adjacent spectral-line vector cancellation is applied to obtain interpolated frequency values. Then

based on oscillation characteristics

a peak-extraction function is used to determine the number of components and identify oscillatory components. Finally

LS corrected results are obtained by Taylor series approximation and pseudoinverse matrix solving. Simulation results show that the proposed method can effectively overcome multi-component interference and achieve accurate estimation of random wideband oscillation parameters in the 4 Hz to 2.4 kHz frequency range.