Comparative Assessment and Benchmarking of Metaheuristic Algorithms for Dynamic Photovoltaic Array Reconfiguration Under Diverse Shading Environments.
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| Title: | Comparative Assessment and Benchmarking of Metaheuristic Algorithms for Dynamic Photovoltaic Array Reconfiguration Under Diverse Shading Environments. |
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| Authors: | Premkumar, Manoharan1 (AUTHOR), Sowmya, Ravichandran2 (AUTHOR) Sowmya.pr@manipal.edu, Siva Kumar, Jagarapu S. V.3 (AUTHOR), Abdullah, Mustafa4 (AUTHOR) |
| Source: | Energy Science & Engineering. Jul2026, Vol. 14 Issue 7, p3272-3309. 38p. |
| Subject Terms: | *Metaheuristic algorithms, *Photovoltaic power systems, *Renewable energy sources, *Simulation methods & models, *Photovoltaic power generation, *Energy harvesting, *Adaptive computing systems |
| Abstract: | The solar photovoltaic (PV) installations, which are essential for renewable energy systems, are vulnerable to partial shading, resulting in considerable power losses and operational inefficiencies. The dynamic reconfiguration of PV arrays has become an effective strategy to mitigate these effects by adaptively modifying the array topology to optimize power output. This paper presents a detailed comparative analysis of dynamic PV array reconfigurations for a 6 × 6 total‐cross‐tied array under various operating conditions. The comparative analysis includes 10 recent metaheuristics that have shown performance in complex optimization problems across different domains. The proposed methodology assesses the effectiveness of each algorithm in identifying optimal reconfiguration patterns, enhancing power extraction, and reducing mismatch losses across both uniform and multiple partial shading conditions. Simulation results prove the strengths and robustness of each algorithm, providing detailed insights into their appropriateness for real‐time adaptive PV systems. The findings clarify the potential of metaheuristic‐driven dynamic reconfigurations to improve PV system performance and establish a basis for choosing the most effective algorithmic approach in practical applications. [ABSTRACT FROM AUTHOR] |
| Database: | Energy & Power Source |
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| Header | DbId: enr DbLabel: Energy & Power Source An: 195314125 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Comparative Assessment and Benchmarking of Metaheuristic Algorithms for Dynamic Photovoltaic Array Reconfiguration Under Diverse Shading Environments. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Premkumar%2C+Manoharan%22">Premkumar, Manoharan</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Sowmya%2C+Ravichandran%22">Sowmya, Ravichandran</searchLink><relatesTo>2</relatesTo> (AUTHOR)<i> Sowmya.pr@manipal.edu</i><br /><searchLink fieldCode="AR" term="%22Siva+Kumar%2C+Jagarapu+S%2E+V%2E%22">Siva Kumar, Jagarapu S. V.</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Abdullah%2C+Mustafa%22">Abdullah, Mustafa</searchLink><relatesTo>4</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Energy+Science+%26+Engineering%22">Energy Science & Engineering</searchLink>. Jul2026, Vol. 14 Issue 7, p3272-3309. 38p. – Name: Subject Label: Subject Terms Group: Su Data: *<searchLink fieldCode="DE" term="%22Metaheuristic+algorithms%22">Metaheuristic algorithms</searchLink><br />*<searchLink fieldCode="DE" term="%22Photovoltaic+power+systems%22">Photovoltaic power systems</searchLink><br />*<searchLink fieldCode="DE" term="%22Renewable+energy+sources%22">Renewable energy sources</searchLink><br />*<searchLink fieldCode="DE" term="%22Simulation+methods+%26+models%22">Simulation methods & models</searchLink><br />*<searchLink fieldCode="DE" term="%22Photovoltaic+power+generation%22">Photovoltaic power generation</searchLink><br />*<searchLink fieldCode="DE" term="%22Energy+harvesting%22">Energy harvesting</searchLink><br />*<searchLink fieldCode="DE" term="%22Adaptive+computing+systems%22">Adaptive computing systems</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: The solar photovoltaic (PV) installations, which are essential for renewable energy systems, are vulnerable to partial shading, resulting in considerable power losses and operational inefficiencies. The dynamic reconfiguration of PV arrays has become an effective strategy to mitigate these effects by adaptively modifying the array topology to optimize power output. This paper presents a detailed comparative analysis of dynamic PV array reconfigurations for a 6 × 6 total‐cross‐tied array under various operating conditions. The comparative analysis includes 10 recent metaheuristics that have shown performance in complex optimization problems across different domains. The proposed methodology assesses the effectiveness of each algorithm in identifying optimal reconfiguration patterns, enhancing power extraction, and reducing mismatch losses across both uniform and multiple partial shading conditions. Simulation results prove the strengths and robustness of each algorithm, providing detailed insights into their appropriateness for real‐time adaptive PV systems. The findings clarify the potential of metaheuristic‐driven dynamic reconfigurations to improve PV system performance and establish a basis for choosing the most effective algorithmic approach in practical applications. [ABSTRACT FROM AUTHOR] |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=enr&AN=195314125 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1002/ese3.70530 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 38 StartPage: 3272 Subjects: – SubjectFull: Metaheuristic algorithms Type: general – SubjectFull: Photovoltaic power systems Type: general – SubjectFull: Renewable energy sources Type: general – SubjectFull: Simulation methods & models Type: general – SubjectFull: Photovoltaic power generation Type: general – SubjectFull: Energy harvesting Type: general – SubjectFull: Adaptive computing systems Type: general Titles: – TitleFull: Comparative Assessment and Benchmarking of Metaheuristic Algorithms for Dynamic Photovoltaic Array Reconfiguration Under Diverse Shading Environments. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Premkumar, Manoharan – PersonEntity: Name: NameFull: Sowmya, Ravichandran – PersonEntity: Name: NameFull: Siva Kumar, Jagarapu S. V. – PersonEntity: Name: NameFull: Abdullah, Mustafa IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 07 Text: Jul2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 20500505 Numbering: – Type: volume Value: 14 – Type: issue Value: 7 Titles: – TitleFull: Energy Science & Engineering Type: main |
| ResultId | 1 |
