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Accurate DFT Method for Power System Frequency Estimation Considering Multi-Component Interference
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DOI：10.1109/TIM.2023.3322493.png)
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Abstract
En 中文
Frequency estimation plays a crucial role in monitoring and protecting smart grids. The excellence of discrete Fourier transform (DFT)-based frequency estimators has been well known due to their efficiency and robustness. However, multi-component interference has become one of the biggest challenges of DFT-based estimators. To this end, we propose a novel DFT-based method for estimating multifrequency real-valued sinusoidal signals, which consist of P unknown components. The proposed method first constructs a nonlinear equation to describe the relationship between the parameters of all components and their frequency spectrum. The nonlinear equation is then transformed into a linear equation with 3P unknowns for estimating the frequency. The proposed method takes the sidelobe interference and spectrum leakage of all components into consideration. As a result, the impacts of multi-component interference can be completely avoided. Experiments and simulations demonstrate that the proposed method not only meets the limitations of Standard IEC/IEEE 60255-118-1 but is also highly competitive with existing frequency estimators.
Keywords:
Discrete Fourier transform (DFT)
frequency estimation
multi-component interference
noisy signal
spectrum leakage
Journal
IF:
5.9
Papers:
1.9W
Citations:
5.8W