Academic Journal
Control strategy evaluation for reactive power management in grid-connected photovoltaic systems under varying solar conditions.
| Τίτλος: | Control strategy evaluation for reactive power management in grid-connected photovoltaic systems under varying solar conditions. |
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| Συγγραφείς: | Adak, Suleyman |
| Πηγή: | Scientific Reports; 7/9/2025, Vol. 15 Issue 1, p1-21, 21p |
| Θεματικοί όροι: | Reactive power control, Photovoltaic power systems, Statistical models, Light intensity, Voltage control, Solar energy, Mathematical optimization |
| Περίληψη: | Solar energy is environmentally friendly and one of the most significant renewable energy sources. This energy is a leading renewable energy source, contributing significantly to sustainable development goals. In grid-connected photovoltaic (PV) systems, reactive power management is essential for maintaining voltage stability and ensuring reliable operation. However, the influence of fluctuating solar irradiation (G) on reactive power (Q) behavior is often underrepresented in conventional inverter control strategies. This research addresses this gap by modeling the dependence of reactive power on solar irradiance using a data-driven curve-fitting approach. The methodology involves the acquisition of real-world operational data, preprocessing, selection of an appropriate analytical model, and validation of its performance. The findings indicate that reactive power increases under low irradiance conditions, primarily due to inverter behavior and grid voltage support requirements. The resulting analytical expression offers a practical framework for integrating irradiance-dependent reactive power control into inverter firmware or grid management software. The model performed with high accuracy with an R2 of 0.9955. This contribution enhances the ability of PV systems to respond dynamically to environmental changes, improving grid compatibility, operational efficiency, and voltage regulation in modern distributed energy networks. [ABSTRACT FROM AUTHOR] |
| Copyright of Scientific Reports is the property of Springer Nature 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.) | |
| Βάση Δεδομένων: | Complementary Index |
| FullText | Links: – Type: other Text: Availability: 0 CustomLinks: – Url: https://dx.doi.org/doi:10.1038/s41598-025-08918-y Name: EDS - Springer Nature Journals (s7799221) Category: fullText Text: View record at Springer |
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| Header | DbId: edb DbLabel: Complementary Index An: 186489432 RelevancyScore: 1007 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 1007.33404541016 |
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| Items | – Name: Title Label: Title Group: Ti Data: Control strategy evaluation for reactive power management in grid-connected photovoltaic systems under varying solar conditions. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Adak%2C+Suleyman%22">Adak, Suleyman</searchLink> – Name: TitleSource Label: Source Group: Src Data: Scientific Reports; 7/9/2025, Vol. 15 Issue 1, p1-21, 21p – Name: Subject Label: Subject Terms Group: Su Data: <searchLink fieldCode="DE" term="%22Reactive+power+control%22">Reactive power control</searchLink><br /><searchLink fieldCode="DE" term="%22Photovoltaic+power+systems%22">Photovoltaic power systems</searchLink><br /><searchLink fieldCode="DE" term="%22Statistical+models%22">Statistical models</searchLink><br /><searchLink fieldCode="DE" term="%22Light+intensity%22">Light intensity</searchLink><br /><searchLink fieldCode="DE" term="%22Voltage+control%22">Voltage control</searchLink><br /><searchLink fieldCode="DE" term="%22Solar+energy%22">Solar energy</searchLink><br /><searchLink fieldCode="DE" term="%22Mathematical+optimization%22">Mathematical optimization</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Solar energy is environmentally friendly and one of the most significant renewable energy sources. This energy is a leading renewable energy source, contributing significantly to sustainable development goals. In grid-connected photovoltaic (PV) systems, reactive power management is essential for maintaining voltage stability and ensuring reliable operation. However, the influence of fluctuating solar irradiation (G) on reactive power (Q) behavior is often underrepresented in conventional inverter control strategies. This research addresses this gap by modeling the dependence of reactive power on solar irradiance using a data-driven curve-fitting approach. The methodology involves the acquisition of real-world operational data, preprocessing, selection of an appropriate analytical model, and validation of its performance. The findings indicate that reactive power increases under low irradiance conditions, primarily due to inverter behavior and grid voltage support requirements. The resulting analytical expression offers a practical framework for integrating irradiance-dependent reactive power control into inverter firmware or grid management software. The model performed with high accuracy with an R<superscript>2</superscript> of 0.9955. This contribution enhances the ability of PV systems to respond dynamically to environmental changes, improving grid compatibility, operational efficiency, and voltage regulation in modern distributed energy networks. [ABSTRACT FROM AUTHOR] – Name: Abstract Label: Group: Ab Data: <i>Copyright of Scientific Reports is the property of Springer Nature 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.) |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edb&AN=186489432 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1038/s41598-025-08918-y Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 21 StartPage: 1 Subjects: – SubjectFull: Reactive power control Type: general – SubjectFull: Photovoltaic power systems Type: general – SubjectFull: Statistical models Type: general – SubjectFull: Light intensity Type: general – SubjectFull: Voltage control Type: general – SubjectFull: Solar energy Type: general – SubjectFull: Mathematical optimization Type: general Titles: – TitleFull: Control strategy evaluation for reactive power management in grid-connected photovoltaic systems under varying solar conditions. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Adak, Suleyman IsPartOfRelationships: – BibEntity: Dates: – D: 09 M: 07 Text: 7/9/2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 20452322 Numbering: – Type: volume Value: 15 – Type: issue Value: 1 Titles: – TitleFull: Scientific Reports Type: main |
| ResultId | 1 |