Enhancing power quality: bi - level least mean square control algorithm for D-STATCOM.
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| Title: | Enhancing power quality: bi - level least mean square control algorithm for D-STATCOM. |
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| Authors: | Kampara, Ravi Sankar1 mostafaei@yazd.ac.ir, V., Kamaraju2, R., Srinivasa Rao1 |
| Source: | Journal of Power Technologies. 2026, Vol. 106 Issue 1, p129-142. 14p. |
| Subjects: | Mean square algorithms, Harmonic suppression filters, Simulink (Computer software), Power supply quality, Adaptive control systems, DC-AC converters, Electrical harmonics |
| Abstract: | The power quality issues in the power system have significantly affect ed both utilities and customers. Among the prevalent power quality problems, current harmonics pose a common challenge, often addressed through the application of shunt active filters. In this paper, a volta ge source inverter (VSI) based distribution static compensator (D -STATCOM) is considered as a shunt active filter. To control the filter, this work proposes a h y steresis inner control and new bi - level least m ean square (BLMS) outer control algorithm. The BLMS algorithm is used to extract the converged weight required for reference source current generation from both active and reactive power components of harmonic - rich load current. To achieve the tuned weight, a n ovel modeling and design method is presented based on mathematical equations by splitting active and reactive subnets separately. It aims for a better alternative solution for realizing the weight update without usi ng the existing neural network (NN) to olbox. Finally, the power quality solution, like source current harmonic diminution, proper voltage adjustment, voltage normalizing and improved power factor, is analyzed by using the proposed technique. In addition to this, reduced sizing of the VSI is al so analyzed. To demonstrate the better performance of the D -STATCOM with proposed algorithm, analytical evolution is p erformed in MATLAB/SIMULINK. The performance is also compared with an existing adaptive - based least mean square (ALMS) strategy. [ABSTRACT FROM AUTHOR] |
| Copyright of Journal of Power Technologies is the property of Warsaw University of Technology, Institute of Heat Engineering 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: 194988967 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Enhancing power quality: bi - level least mean square control algorithm for D-STATCOM. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Kampara%2C+Ravi+Sankar%22">Kampara, Ravi Sankar</searchLink><relatesTo>1</relatesTo><i> mostafaei@yazd.ac.ir</i><br /><searchLink fieldCode="AR" term="%22V%2E%2C+Kamaraju%22">V., Kamaraju</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22R%2E%2C+Srinivasa+Rao%22">R., Srinivasa Rao</searchLink><relatesTo>1</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Journal+of+Power+Technologies%22">Journal of Power Technologies</searchLink>. 2026, Vol. 106 Issue 1, p129-142. 14p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Mean+square+algorithms%22">Mean square algorithms</searchLink><br /><searchLink fieldCode="DE" term="%22Harmonic+suppression+filters%22">Harmonic suppression filters</searchLink><br /><searchLink fieldCode="DE" term="%22Simulink+%28Computer+software%29%22">Simulink (Computer software)</searchLink><br /><searchLink fieldCode="DE" term="%22Power+supply+quality%22">Power supply quality</searchLink><br /><searchLink fieldCode="DE" term="%22Adaptive+control+systems%22">Adaptive control systems</searchLink><br /><searchLink fieldCode="DE" term="%22DC-AC+converters%22">DC-AC converters</searchLink><br /><searchLink fieldCode="DE" term="%22Electrical+harmonics%22">Electrical harmonics</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: The power quality issues in the power system have significantly affect ed both utilities and customers. Among the prevalent power quality problems, current harmonics pose a common challenge, often addressed through the application of shunt active filters. In this paper, a volta ge source inverter (VSI) based distribution static compensator (D -STATCOM) is considered as a shunt active filter. To control the filter, this work proposes a h y steresis inner control and new bi - level least m ean square (BLMS) outer control algorithm. The BLMS algorithm is used to extract the converged weight required for reference source current generation from both active and reactive power components of harmonic - rich load current. To achieve the tuned weight, a n ovel modeling and design method is presented based on mathematical equations by splitting active and reactive subnets separately. It aims for a better alternative solution for realizing the weight update without usi ng the existing neural network (NN) to olbox. Finally, the power quality solution, like source current harmonic diminution, proper voltage adjustment, voltage normalizing and improved power factor, is analyzed by using the proposed technique. In addition to this, reduced sizing of the VSI is al so analyzed. To demonstrate the better performance of the D -STATCOM with proposed algorithm, analytical evolution is p erformed in MATLAB/SIMULINK. The performance is also compared with an existing adaptive - based least mean square (ALMS) strategy. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Journal of Power Technologies is the property of Warsaw University of Technology, Institute of Heat Engineering 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: Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 14 StartPage: 129 Subjects: – SubjectFull: Mean square algorithms Type: general – SubjectFull: Harmonic suppression filters Type: general – SubjectFull: Simulink (Computer software) Type: general – SubjectFull: Power supply quality Type: general – SubjectFull: Adaptive control systems Type: general – SubjectFull: DC-AC converters Type: general – SubjectFull: Electrical harmonics Type: general Titles: – TitleFull: Enhancing power quality: bi - level least mean square control algorithm for D-STATCOM. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Kampara, Ravi Sankar – PersonEntity: Name: NameFull: V., Kamaraju – PersonEntity: Name: NameFull: R., Srinivasa Rao IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Text: 2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 20834187 Numbering: – Type: volume Value: 106 – Type: issue Value: 1 Titles: – TitleFull: Journal of Power Technologies Type: main |
| ResultId | 1 |
