A Resolution-Enhanced Sliding Matrix Pencil Method for Evaluation of Harmonics Distortion in Shipboard Microgrids

Terriche, Yacine; Mutarraf, Muhammad Umair; Laib, Abderrzak; Su, Chun‐Lien; Guerrero, Josep M.; Vasquez, Juan C.; Golestan, Saeed

doi:10.1109/tte.2020.3020820

Cited by 8 publications

(7 citation statements)

References 27 publications

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“…Figure 9 presents the computation burden of the proposed method and the enhanced sliding matrix pencil method (SMPM) proposed in [29]. The number of virtual exponentials between every two harmonics in the proposed method is set to 9 (P in ( 25) is set to 9) to provide a satisfactory interharmonics assessment.…”

Section: Resultsmentioning

confidence: 99%

“…Consequently, the proposed method can estimate the harmonics and inter-harmonics accurately with an enhanced resolution under large frequency drifts using a shorter window width. Furthermore, in contradiction with the method proposed in [29], the proposed method can enhance the resolution with a lower computation burden as it does not interpolate any data when performing the SVD and its inverse of the Hankel matrix. In addition, compared to the aforementioned and most applied techniques in literature, the proposed method can estimate the system frequency in an open-loop manner.…”

Section: Introductionmentioning

confidence: 82%

“…However, the GPOFM features some particular superiorities over Prony's method, which makes it more appropriate for the harmonic and interharmonic estimation. These features are summarized below [28], [29], [38]- [40]:…”

Section: A Background Of the Traditional Generalized Pencil Of Functi...mentioning

confidence: 99%

“…2 and 3. Interpolating the data inside the Hankel matrix can increase the eigenvalues, thus, increases the number of the estimated frequencies [29]. However, this method cannot be optimum due to its significant computation burden as well as low performance in the existence of high order harmonics.…”

Section: A Background Of the Traditional Generalized Pencil Of Functi...mentioning

confidence: 99%

“…Therefore, this method did not receive attention in MMS applications or recommendations by related standards. The authors in [29] proposed the interpolation of the data inside the Hankel matrix to increase the eigenvalues, thus, increases the number of the estimated frequencies. However, this method cannot be optimum due to its significant computation burden resulted from performing the singular value decomposition (SVD), eigenvalues calculations, and inverse SVD of the double sized Hankel matrix.…”

Section: Introductionmentioning

confidence: 99%

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A Frequency Independent Technique to Estimate Harmonics and Interharmonics in Shipboard Microgrids

Terriche

Laib²,

Lashab

et al. 2022

IEEE Trans. Smart Grid

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Modern maritime microgrid systems are witnessing a revolutionary advancement by integrating more renewable energy sources and energy storage systems. The integration of these sophisticated systems is achieved, however, through the power electronics converters that cause severe harmonic contamination. This problem becomes more serious when some of these harmonics that are non-integer multiples of the fundamental (inter-harmonics) exist concurrently with both system frequency drifts and large-power transients, which is a commune issue in maritime microgrid systems such as shipboard microgrids. Hence, the performance of the widely signal processing algorithms applied in the measurement and communication systems such as the smart meters and power quality analyzers tends to worsen. To address this problem this paper proposes an effective method based on the eigenvalue solution to estimate the harmonics and inter-harmonics of modern maritime microgrid systems effectively. This method, which is a system frequency independent technique can work effectively even under large frequency drifts with short window width. The proposed method is evaluated under MATLAB software, and then the experimental validation is carried out via analyzing the electrical power system current of a bulk carrier ship.

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Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 82%