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- W4375928481 abstract "A new method based on a Kalman filter with a Least Squares (KLS) approach has been proposed to estimate the online power system frequency. This method estimates the frequency of the given signal based on three equidistant samples. In order to estimate the frequency, the least-squares procedure needs to be used, which results in successive triples of instances. The method is the best choice for estimating the frequency online because of its quick response and minimal processing demands. However, it requires pre-filtering the distorted signal before performing the filtering method. In this study, we first pre-filter with Kalman filtering and then use the LS method to estimate frequencies. Performance results demonstrate that the proposed KLS approach obtains a lower Mean Square Error (MSE) estimate when compared to the existing LS-based approach. The proposed KLS filtering technique is implemented in MATLAB." @default.
- W4375928481 created "2023-05-10" @default.
- W4375928481 creator A5005870790 @default.
- W4375928481 creator A5092340399 @default.
- W4375928481 date "2023-02-08" @default.
- W4375928481 modified "2023-09-25" @default.
- W4375928481 title "Frequency Estimation using KLS Technique" @default.
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- W4375928481 doi "https://doi.org/10.1109/otcon56053.2023.10113955" @default.
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