A DFT‐based method for estimating interharmonics in wind power generation

Abstract

This paper introduces a discrete Fourier transform (DFT)-based method for estimating the amplitudes and frequencies of interharmonics, which arise from the interaction between wind power generators and electric power systems. This method exploits the synergy of choosing signal enhancement, mains frequency estimation, and re-sampling techniques. Consequently, it accomplishes a cost-effective estimation process. The performance results show that signal enhancement and re-sampling techniques are necessary to establish suitable conditions for performing amplitude and frequency estimation. Furthermore, numerical results show that the proposed method, relying on low-cost digital signal processing techniques, offers competitive performance and significant computational complexity reduction compared to a previous DFT-based method.

Harmonic and Interharmonic Estimation Based on Re-Sampling and IpDFT Methods

“…In [32], it was shown that the combination of a re-sampling method, based on the Lagrange function, with the IpDFT is an interesting strategy to estimate the harmonics and interharmonics components for frequency deviation scenarios and noisy signals. Although this method presents accurate results, the analysis is made until the second harmonic and the re-sampling method was based on the Lagrange function.…”