Real-time electrical variables estimation based on recursive wavelet transform.
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| Title: | Real-time electrical variables estimation based on recursive wavelet transform. |
|---|---|
| Authors: | Rahmati, A.1 arahmati@ieee.org, Adhami, R.2 rradhami@uah.edu, Dimassi, M.3 gte014z@gatech.edu |
| Source: | International Journal of Electrical Power & Energy Systems. Jun2015, Vol. 68, p170-179. 10p. |
| Subjects: | Recursive functions, Wavelet transforms, Phasor measurement, Algorithms, Electrical harmonics, Discrete Fourier transforms, Frequency deviation (Radio frequency modulation) |
| Abstract: | In frequency and phasor estimation algorithms, the undesired components are required to be filtered out from the original signals. In power systems, the undesired components are the decaying dc offset and harmonics. These components could cause delay in algorithm convergence time and deviation from the desired results to a great extent. This paper proposes a new recursive algorithm for accurate and fast estimation of the instantaneous electrical variables such as frequency, amplitude and phase angle. The new algorithm provides an improvement over the existing recursive wavelet transform and, therefore, it is called IRWT. The IRWT performance is compared with the commonly used full-cycle discrete Fourier transform (DFT) and the recursive wavelet transform (RWT) methods. Since it uses a special mother wavelet function, it reduces computational complexity compared to the conventional DFT based method. Compared to the recursive wavelet transform (RWT) method, it has a faster response time. It is shown that IRWT possesses an improvement over a wide range of decaying dc component, harmonic distortions, frequency deviation and sampling frequency compared to the previously proposed methods. This characteristic of IRWT makes it a good candidate for the real-time applications in any power systems. [ABSTRACT FROM AUTHOR] |
| Copyright of International Journal of Electrical Power & Energy Systems is the property of Elsevier B.V. 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 | Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 100759846 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Real-time electrical variables estimation based on recursive wavelet transform. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Rahmati%2C+A%2E%22">Rahmati, A.</searchLink><relatesTo>1</relatesTo><i> arahmati@ieee.org</i><br /><searchLink fieldCode="AR" term="%22Adhami%2C+R%2E%22">Adhami, R.</searchLink><relatesTo>2</relatesTo><i> rradhami@uah.edu</i><br /><searchLink fieldCode="AR" term="%22Dimassi%2C+M%2E%22">Dimassi, M.</searchLink><relatesTo>3</relatesTo><i> gte014z@gatech.edu</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Electrical+Power+%26+Energy+Systems%22">International Journal of Electrical Power & Energy Systems</searchLink>. Jun2015, Vol. 68, p170-179. 10p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Recursive+functions%22">Recursive functions</searchLink><br /><searchLink fieldCode="DE" term="%22Wavelet+transforms%22">Wavelet transforms</searchLink><br /><searchLink fieldCode="DE" term="%22Phasor+measurement%22">Phasor measurement</searchLink><br /><searchLink fieldCode="DE" term="%22Algorithms%22">Algorithms</searchLink><br /><searchLink fieldCode="DE" term="%22Electrical+harmonics%22">Electrical harmonics</searchLink><br /><searchLink fieldCode="DE" term="%22Discrete+Fourier+transforms%22">Discrete Fourier transforms</searchLink><br /><searchLink fieldCode="DE" term="%22Frequency+deviation+%28Radio+frequency+modulation%29%22">Frequency deviation (Radio frequency modulation)</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: In frequency and phasor estimation algorithms, the undesired components are required to be filtered out from the original signals. In power systems, the undesired components are the decaying dc offset and harmonics. These components could cause delay in algorithm convergence time and deviation from the desired results to a great extent. This paper proposes a new recursive algorithm for accurate and fast estimation of the instantaneous electrical variables such as frequency, amplitude and phase angle. The new algorithm provides an improvement over the existing recursive wavelet transform and, therefore, it is called IRWT. The IRWT performance is compared with the commonly used full-cycle discrete Fourier transform (DFT) and the recursive wavelet transform (RWT) methods. Since it uses a special mother wavelet function, it reduces computational complexity compared to the conventional DFT based method. Compared to the recursive wavelet transform (RWT) method, it has a faster response time. It is shown that IRWT possesses an improvement over a wide range of decaying dc component, harmonic distortions, frequency deviation and sampling frequency compared to the previously proposed methods. This characteristic of IRWT makes it a good candidate for the real-time applications in any power systems. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of International Journal of Electrical Power & Energy Systems is the property of Elsevier B.V. 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: 10.1016/j.ijepes.2014.12.051 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 10 StartPage: 170 Subjects: – SubjectFull: Recursive functions Type: general – SubjectFull: Wavelet transforms Type: general – SubjectFull: Phasor measurement Type: general – SubjectFull: Algorithms Type: general – SubjectFull: Electrical harmonics Type: general – SubjectFull: Discrete Fourier transforms Type: general – SubjectFull: Frequency deviation (Radio frequency modulation) Type: general Titles: – TitleFull: Real-time electrical variables estimation based on recursive wavelet transform. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Rahmati, A. – PersonEntity: Name: NameFull: Adhami, R. – PersonEntity: Name: NameFull: Dimassi, M. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 06 Text: Jun2015 Type: published Y: 2015 Identifiers: – Type: issn-print Value: 01420615 Numbering: – Type: volume Value: 68 Titles: – TitleFull: International Journal of Electrical Power & Energy Systems Type: main |
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