Wideband Signal Measurement Algorithm Based on Resampling Prony Estimation

With a high proportion of new energy and power electronic devices connected to the power system, it makes the power system oscillation problem more and more complex, significantly changing the signal form, fault form, stability form and control form of the power grid. In order to improve the power system wideband oscillation monitoring capability, this paper proposes a wideband signal measurement algorithm based on resampling Prony estimation to achieve adaptive capture and high-precision measurement of wideband oscillation signals in the 2.5Hz-2500Hz frequency band. Firstly, on the basis of the fundamental phase volume model, a composite wideband phase volume model with several different rotational frequencies is established by using Taylor series. Secondly, the wideband signal frequency is pre-estimated by resampling Prony estimation, and the operation matrix is generated by calling the offline matrix. Finally, the least squares method is used to solve the model parameters, obtain each wideband signal phase volume in the signal, and calculate the measurement frequency by Taylor coefficients. The results show that the algorithm not only meets the measurement requirements of interharmonics and harmonics in the IEC standard, but also can accurately extract the information of each wideband signal phase quantity under frequency shift and noise conditions.