Influence of Harmonics on the Interpolated DFT-based Frequency Estimation for the Control of Power in Renewable Energy Systems using Generalized Maximum Sidelobe Decay Windows

Borkowski, Józef; Kania, Dariusz

doi:10.1109/peds44367.2019.8998928

Cited by 2 publications

(1 citation statement)

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“…Li et al (2019) adopted the frequency-shifted filtering method to estimate the fundamental frequency of the power grid, and the frequency error is <1e−4 Hz in the case of the test containing the odd harmonics ranging from 3rd to 11th. Borkowski and Kania (2019) presented new multipoint weighted interpolations of the DFT (MWIDFT) frequency estimation method based on generalized maximum sidelobe decay (GMSD) time windows in which the frequency estimation accuracy can be at the level of 10 −3 or 10 −4 Hz. The literature by Yifan et al (2019) proposed a fundamental frequency measurement architecture implemented on an FPGA chip, and the relative error of fundamental frequency measurement is <0.2%.…”

Section: Introductionmentioning

confidence: 99%

A High-Precision and Wideband Fundamental Frequency Measurement Method for Synchronous Sampling Used in the Power Analyzer

et al. 2021

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In the dedicated high-precision power quality analyzer, synchronous sampling is required to reduce the effect of spectrum leakage produced by the discrete Fourier transform process. Thus, accurate fundamental frequency measurement is urgently needed. However, due to the harmonics and noise in the power signal, it is difficult to achieve the accurate fundamental frequency measurement. Moreover, with the wide application of high-frequency programmable power supply, the fundamental frequency is gradually increasing, which requires power analyzers to have the abilities of both high precision and a wide range of the fundamental frequency measurement. To solve these issues, a new fundamental frequency measurement architecture used in synchronous sampling is proposed. This architecture consists of a small-point fast Fourier transform module, spectrum refinement algorithm, and a multimodal optimization method to calculate the accurate fundamental frequency under large harmonic conditions. In the practical hardware platform results, this architecture has a large fundamental frequency measurement range from 20 Hz to 200 kHz with a relative error which is <0.004%. The wideband fundamental frequency measurement structure proposed in this article achieves high measurement accuracy.

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Section: Introductionmentioning

confidence: 99%