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Frequency and magnitude estimation in voltage unbalanced power systems

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@ Ekkawat Kaewluan

Frequency and magnitude evaluation are two of the main signal analysis tasks in the electrical power systems. This paper presents a simple and robust algorithm which enables an accurate estimation of the harmonic parameters of signals with unknown frequency. Differing from the existing approaches, frequency and magnitude of harmonic waves are simultaneously and precisely identified. The proposed algorithm can be applied in spectral estimation as well as in system identification, signal reconstruction, and other important signal processing issues. Algorithm operational efficiency was proved by frequency and amplitude estimation of generated signals with known frequency achieved their aim.

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Frequency and magnitude evaluation are two of the main signal analysis tasks in the electrical power systems. This paper presents a simple and robust algorithm which enables an accurate estimation of the harmonic parameters of signals with unknown frequency. Differing from the existing approaches, frequency and magnitude of harmonic waves are simultaneously and precisely identified. The proposed algorithm can be applied in spectral estimation as well as in system identification, signal reconstruction, and other important signal processing issues. Algorithm operational efficiency was proved by frequency and amplitude estimation of generated signals with known frequency achieved their aim.

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