Enhancing power quality in distribution networks using three-phase unified power quality conditioner (UPQC).
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| Title: | Enhancing power quality in distribution networks using three-phase unified power quality conditioner (UPQC). |
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| Authors: | Jagadeesh Kumar, M.1 (AUTHOR) jagadeeshkumar.eee@sairamit.edu.in, Chandrasekar, P.2 (AUTHOR), Anand Bhat, B.3 (AUTHOR), Gupta, Sachin4 (AUTHOR) |
| Source: | Environment, Development & Sustainability. Mar2026, Vol. 28 Issue 3, p7737-7759. 23p. |
| Subject Terms: | *Power quality disturbances, *Power supply quality, *Optimization algorithms, *Electric power distribution grids, *Deep learning, *Electrical harmonics |
| Reviews & Products: | MatLab (Computer software) |
| Abstract: | One of the primary technical difficulties in distributed generation power systems is the problem of power quality (PQ). Furthermore, PQ has been greatly decreased in distributed generation networks due to harmonics and voltage sag compensation, which has an impact on system stability. The hybrid technique of power quality in distribution networks utilizing three-phase unified power quality conditioner is proposed in this work as a means of improving power quality in power distribution networks. The main objective of the proposed approach is to lessen voltage and current harmonics and voltage-swell and voltage-sag. The Gazelle optimization algorithm is used to optimize control parameters, while the spiking deep residual network refines control strategies. Together, they enhance PQin UPQC systems by adapting to dynamic conditions, reducing power loss, and mitigating voltage instability and harmonic distortion. By then, the proposed method's performance is implemented into execution on the MATLAB platform, and it is contrasted with other existing methods. The proposed technique displays superior outcome in all approaches like salp swarm algorithm, cuckoo search algorithm, and latent semantic analysis. From the outcomes, it is concluded that the proposed method reduces the total harmonic distortion is 1(%), power loss is 82.85 KW is low and the computation time is 0.4 s it is lower than compared with other existing methods. [ABSTRACT FROM AUTHOR] |
| Database: | Energy & Power Source |
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| Header | DbId: enr DbLabel: Energy & Power Source An: 192418081 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Enhancing power quality in distribution networks using three-phase unified power quality conditioner (UPQC). – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Jagadeesh+Kumar%2C+M%2E%22">Jagadeesh Kumar, M.</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> jagadeeshkumar.eee@sairamit.edu.in</i><br /><searchLink fieldCode="AR" term="%22Chandrasekar%2C+P%2E%22">Chandrasekar, P.</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Anand+Bhat%2C+B%2E%22">Anand Bhat, B.</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Gupta%2C+Sachin%22">Gupta, Sachin</searchLink><relatesTo>4</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Environment%2C+Development+%26+Sustainability%22">Environment, Development & Sustainability</searchLink>. Mar2026, Vol. 28 Issue 3, p7737-7759. 23p. – Name: Subject Label: Subject Terms Group: Su Data: *<searchLink fieldCode="DE" term="%22Power+quality+disturbances%22">Power quality disturbances</searchLink><br />*<searchLink fieldCode="DE" term="%22Power+supply+quality%22">Power supply quality</searchLink><br />*<searchLink fieldCode="DE" term="%22Optimization+algorithms%22">Optimization algorithms</searchLink><br />*<searchLink fieldCode="DE" term="%22Electric+power+distribution+grids%22">Electric power distribution grids</searchLink><br />*<searchLink fieldCode="DE" term="%22Deep+learning%22">Deep learning</searchLink><br />*<searchLink fieldCode="DE" term="%22Electrical+harmonics%22">Electrical harmonics</searchLink> – Name: SubjectProduct Label: Reviews & Products Group: Su Data: <searchLink fieldCode="PS" term="%22MatLab+%28Computer+software%29%22">MatLab (Computer software)</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: One of the primary technical difficulties in distributed generation power systems is the problem of power quality (PQ). Furthermore, PQ has been greatly decreased in distributed generation networks due to harmonics and voltage sag compensation, which has an impact on system stability. The hybrid technique of power quality in distribution networks utilizing three-phase unified power quality conditioner is proposed in this work as a means of improving power quality in power distribution networks. The main objective of the proposed approach is to lessen voltage and current harmonics and voltage-swell and voltage-sag. The Gazelle optimization algorithm is used to optimize control parameters, while the spiking deep residual network refines control strategies. Together, they enhance PQin UPQC systems by adapting to dynamic conditions, reducing power loss, and mitigating voltage instability and harmonic distortion. By then, the proposed method's performance is implemented into execution on the MATLAB platform, and it is contrasted with other existing methods. The proposed technique displays superior outcome in all approaches like salp swarm algorithm, cuckoo search algorithm, and latent semantic analysis. From the outcomes, it is concluded that the proposed method reduces the total harmonic distortion is 1(%), power loss is 82.85 KW is low and the computation time is 0.4 s it is lower than compared with other existing methods. [ABSTRACT FROM AUTHOR] |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=enr&AN=192418081 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s10668-025-06106-6 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 23 StartPage: 7737 Subjects: – SubjectFull: Power quality disturbances Type: general – SubjectFull: Power supply quality Type: general – SubjectFull: Optimization algorithms Type: general – SubjectFull: Electric power distribution grids Type: general – SubjectFull: Deep learning Type: general – SubjectFull: Electrical harmonics Type: general – SubjectFull: MatLab (Computer software) Type: general Titles: – TitleFull: Enhancing power quality in distribution networks using three-phase unified power quality conditioner (UPQC). Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Jagadeesh Kumar, M. – PersonEntity: Name: NameFull: Chandrasekar, P. – PersonEntity: Name: NameFull: Anand Bhat, B. – PersonEntity: Name: NameFull: Gupta, Sachin IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 03 Text: Mar2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 1387585X Numbering: – Type: volume Value: 28 – Type: issue Value: 3 Titles: – TitleFull: Environment, Development & Sustainability Type: main |
| ResultId | 1 |
