A two-stage adaptive symmetric-strong-tracking square-root cubature Kalman filter for harmonics and interharmonics estimation

Pramanik, Meghabriti; Routray, Aurobinda; Mitra, Pabitra

doi:10.1016/j.epsr.2022.108133

Cited by 3 publications

(1 citation statement)

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“…Thus, Power Quality (PQ) analysis becomes fundamental in order to monitor the distortions present in the network [4]. The waveform distortions occur due to the appearance of signal components different from the fundamental and they are called harmonics and interharmonics, and supra-harmonics, as described in [5][6][7][8][9][10].…”

Section: Introductionmentioning

confidence: 99%

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

Monteiro

Rodrigues

Ferreira

et al. 2023

Preprint

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Harmonic and interharmonic estimation is essential for Power System monitoring, particularly for Power Quality (PQ) analysis. These components can interfere with the device functionality, leading to motor heating and energy consumption inefficiency. Usually, the estimation of these components is performed by Fourier Transform; however, the estimation accuracy can decrease in specific scenarios. If the sampled signal is asynchronous or is composed of interharmonics, for example, the energy is spread along the frequency spectrum, causing estimation errors. In this context, this work proposes an innovative method to estimate the harmonic and interharmonic, combining a re-sampling method, based on B-spline with a pre-filter, and Interpolated Discrete Fourier Transform (IpDFT) to avoid the leakage caused by asynchronous sampling and interharmonics. Three real-time re-sampling methods combined with IpDFT are analyzed via simulated voltage signals. The results show that the proposed method is accurate, and robust for all scenarios.

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