Optimized Parameter Extraction in Triple Diode Solar PV Models Using Kookaburra‐based Dwarf Mongoose Approach.
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| Title: | Optimized Parameter Extraction in Triple Diode Solar PV Models Using Kookaburra‐based Dwarf Mongoose Approach. |
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| Authors: | Sundar Ganesh, Chappani Sankaran1 (AUTHOR), Kumar, Chandrasekaran1 (AUTHOR), Sivakumaran, Thangavel Swaminathan2 (AUTHOR), Barua, Sourav3 (AUTHOR) barua@eee.green.edu.bd |
| Source: | Energy Science & Engineering. Jun2026, Vol. 14 Issue 6, p2996-3012. 17p. |
| Subject Terms: | *Optimization algorithms, *Parameter estimation, *Photovoltaic power systems, *Nonlinear programming |
| Abstract: | Improving photovoltaics (PV) system performance through simulation requires accurate PV models. The nonlinear relationship between current and voltage, coupled with incomplete manufacturer data, presents a significant challenge in parameter estimation. This research work presents an innovative optimization framework designed to extract the parameters of a triple‐diode model representing an unknown Solar PV module. The proposed approach leverages a novel hybrid optimization technique called the Kookaburra‐based Dwarf Mongoose (KO‐DM) Optimization Algorithm. It determines the unknown parameter that helps to characterize the equivalent circuit of the PV cell described by the triple‐diode model. The performance of the proposed KO‐DM algorithm was assessed using two distinct datasets: (1) 25°C with 1000 W/m² and (2) 45°C with 1000 W/m². The proposed method offers superior performance, exhibiting the ability to efficiently solve complex nonlinear optimization problems, converge rapidly to the global optimum, and involve a simple computational procedure. [ABSTRACT FROM AUTHOR] |
| Database: | Energy & Power Source |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: enr DbLabel: Energy & Power Source An: 194418754 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Optimized Parameter Extraction in Triple Diode Solar PV Models Using Kookaburra‐based Dwarf Mongoose Approach. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Sundar+Ganesh%2C+Chappani+Sankaran%22">Sundar Ganesh, Chappani Sankaran</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Kumar%2C+Chandrasekaran%22">Kumar, Chandrasekaran</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Sivakumaran%2C+Thangavel+Swaminathan%22">Sivakumaran, Thangavel Swaminathan</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Barua%2C+Sourav%22">Barua, Sourav</searchLink><relatesTo>3</relatesTo> (AUTHOR)<i> barua@eee.green.edu.bd</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Energy+Science+%26+Engineering%22">Energy Science & Engineering</searchLink>. Jun2026, Vol. 14 Issue 6, p2996-3012. 17p. – Name: Subject Label: Subject Terms Group: Su Data: *<searchLink fieldCode="DE" term="%22Optimization+algorithms%22">Optimization algorithms</searchLink><br />*<searchLink fieldCode="DE" term="%22Parameter+estimation%22">Parameter estimation</searchLink><br />*<searchLink fieldCode="DE" term="%22Photovoltaic+power+systems%22">Photovoltaic power systems</searchLink><br />*<searchLink fieldCode="DE" term="%22Nonlinear+programming%22">Nonlinear programming</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Improving photovoltaics (PV) system performance through simulation requires accurate PV models. The nonlinear relationship between current and voltage, coupled with incomplete manufacturer data, presents a significant challenge in parameter estimation. This research work presents an innovative optimization framework designed to extract the parameters of a triple‐diode model representing an unknown Solar PV module. The proposed approach leverages a novel hybrid optimization technique called the Kookaburra‐based Dwarf Mongoose (KO‐DM) Optimization Algorithm. It determines the unknown parameter that helps to characterize the equivalent circuit of the PV cell described by the triple‐diode model. The performance of the proposed KO‐DM algorithm was assessed using two distinct datasets: (1) 25°C with 1000 W/m² and (2) 45°C with 1000 W/m². The proposed method offers superior performance, exhibiting the ability to efficiently solve complex nonlinear optimization problems, converge rapidly to the global optimum, and involve a simple computational procedure. [ABSTRACT FROM AUTHOR] |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=enr&AN=194418754 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1002/ese3.70516 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 17 StartPage: 2996 Subjects: – SubjectFull: Optimization algorithms Type: general – SubjectFull: Parameter estimation Type: general – SubjectFull: Photovoltaic power systems Type: general – SubjectFull: Nonlinear programming Type: general Titles: – TitleFull: Optimized Parameter Extraction in Triple Diode Solar PV Models Using Kookaburra‐based Dwarf Mongoose Approach. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Sundar Ganesh, Chappani Sankaran – PersonEntity: Name: NameFull: Kumar, Chandrasekaran – PersonEntity: Name: NameFull: Sivakumaran, Thangavel Swaminathan – PersonEntity: Name: NameFull: Barua, Sourav IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 06 Text: Jun2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 20500505 Numbering: – Type: volume Value: 14 – Type: issue Value: 6 Titles: – TitleFull: Energy Science & Engineering Type: main |
| ResultId | 1 |
