Study on the Effect of Sampling Frequency on Power Quality Parameters in a Real Low-Voltage DC Microgrid.
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| Title: | Study on the Effect of Sampling Frequency on Power Quality Parameters in a Real Low-Voltage DC Microgrid. |
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| Authors: | Pérez-Aragüés, Juan J.1 (AUTHOR), Oliván, Miguel A.1 (AUTHOR) |
| Source: | Energies (19961073). Aug2025, Vol. 18 Issue 15, p4075. 19p. |
| Subjects: | Power supply quality, Signal sampling, Microgrids, Electric potential measurement, Root-mean-squares, Time series analysis |
| Abstract: | In recent years, DC grids have gained traction, and several proposals regarding measuring strategies and several Power Quality (PQ) parameters have been defined to be used in such networks that differ from traditional AC power grids. As a complement to all this preliminary work, this study on the effect of modifying the sampling frequency on some of those parameters has been conducted. For time series evaluation of mean and RMS voltage values, the Dynamic Time Warping (DTW) algorithm has been used. Additionally, the consequence of varying the sampling rate in voltage event detection has also been analysed. As a result, relevant advice regarding sampling frequency is presented in this paper for an effective and optimum evaluation of RMS or mean voltage values and its implementation in detecting voltage events (dips or swells). At least for the parameters in the monitored DC microgrid, a clue for the minimum sampling rate that guarantees accurate measurements is found. [ABSTRACT FROM AUTHOR] |
| Copyright of Energies (19961073) is the property of MDPI and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 187312727 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Study on the Effect of Sampling Frequency on Power Quality Parameters in a Real Low-Voltage DC Microgrid. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Pérez-Aragüés%2C+Juan+J%2E%22">Pérez-Aragüés, Juan J.</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Oliván%2C+Miguel+A%2E%22">Oliván, Miguel A.</searchLink><relatesTo>1</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Energies+%2819961073%29%22">Energies (19961073)</searchLink>. Aug2025, Vol. 18 Issue 15, p4075. 19p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Power+supply+quality%22">Power supply quality</searchLink><br /><searchLink fieldCode="DE" term="%22Signal+sampling%22">Signal sampling</searchLink><br /><searchLink fieldCode="DE" term="%22Microgrids%22">Microgrids</searchLink><br /><searchLink fieldCode="DE" term="%22Electric+potential+measurement%22">Electric potential measurement</searchLink><br /><searchLink fieldCode="DE" term="%22Root-mean-squares%22">Root-mean-squares</searchLink><br /><searchLink fieldCode="DE" term="%22Time+series+analysis%22">Time series analysis</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: In recent years, DC grids have gained traction, and several proposals regarding measuring strategies and several Power Quality (PQ) parameters have been defined to be used in such networks that differ from traditional AC power grids. As a complement to all this preliminary work, this study on the effect of modifying the sampling frequency on some of those parameters has been conducted. For time series evaluation of mean and RMS voltage values, the Dynamic Time Warping (DTW) algorithm has been used. Additionally, the consequence of varying the sampling rate in voltage event detection has also been analysed. As a result, relevant advice regarding sampling frequency is presented in this paper for an effective and optimum evaluation of RMS or mean voltage values and its implementation in detecting voltage events (dips or swells). At least for the parameters in the monitored DC microgrid, a clue for the minimum sampling rate that guarantees accurate measurements is found. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Energies (19961073) is the property of MDPI and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3390/en18154075 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 19 StartPage: 4075 Subjects: – SubjectFull: Power supply quality Type: general – SubjectFull: Signal sampling Type: general – SubjectFull: Microgrids Type: general – SubjectFull: Electric potential measurement Type: general – SubjectFull: Root-mean-squares Type: general – SubjectFull: Time series analysis Type: general Titles: – TitleFull: Study on the Effect of Sampling Frequency on Power Quality Parameters in a Real Low-Voltage DC Microgrid. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Pérez-Aragüés, Juan J. – PersonEntity: Name: NameFull: Oliván, Miguel A. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 08 Text: Aug2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 19961073 Numbering: – Type: volume Value: 18 – Type: issue Value: 15 Titles: – TitleFull: Energies (19961073) Type: main |
| ResultId | 1 |