Modeling, simulation, and experimental verification of a smart grid system.
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| Title: | Modeling, simulation, and experimental verification of a smart grid system. |
|---|---|
| Authors: | Tozak, Macit1 (AUTHOR) macit.tozak@cbu.edu.tr, Taskin, Sezai1 (AUTHOR), Sengor, Ibrahim2,3 (AUTHOR) |
| Source: | Energy Sources Part A: Recovery, Utilization & Environmental Effects. 2022, Vol. 44 Issue 3, p6985-7000. 16p. |
| Subjects: | Smart power grids, Grids (Cartography), Electric lines, Electric power distribution grids, Electric power consumption, Electric power production, Educational objectives |
| Abstract: | Due to the concern over the depletion of conventional fuels and increasing environmental awareness, creating a smarter grid has gained more significance and has been alluring a wide range of industrial and academic stakeholders. One of the main features of a smart grid (SG) system is being a fully observable and controllable infrastructure from generation to the consumption of electricity among other features. A SG didactic system developed by the De Lorenzo company is utilized for this study. The didactic system is used as it serves measurements at all buses and includes diverse power grid units and devices to be used for the analysis of the system. A MATLAB/Simulink model is obtained pertaining to a SG system with generation units, transformers, transmission lines, loads, measurement devices, compensation units, and so on. Along with the modeling of each subsystem of the SG, the developed model is validated by the experiments on the real system, and also the system performance is analyzed. The SG model is validated step by step on the real test system with errors ranging from 0 to 10.03%. Hence, it has been proven that the model is able to be applied to an enlarged system and to be used for test and experimental studies of new types of equipment and educational purposes without depending on the physical system. [ABSTRACT FROM AUTHOR] |
| Copyright of Energy Sources Part A: Recovery, Utilization & Environmental Effects is the property of Taylor & Francis Ltd 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 | Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 159267034 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Modeling, simulation, and experimental verification of a smart grid system. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Tozak%2C+Macit%22">Tozak, Macit</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> macit.tozak@cbu.edu.tr</i><br /><searchLink fieldCode="AR" term="%22Taskin%2C+Sezai%22">Taskin, Sezai</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Sengor%2C+Ibrahim%22">Sengor, Ibrahim</searchLink><relatesTo>2,3</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Energy+Sources+Part+A%3A+Recovery%2C+Utilization+%26+Environmental+Effects%22">Energy Sources Part A: Recovery, Utilization & Environmental Effects</searchLink>. 2022, Vol. 44 Issue 3, p6985-7000. 16p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Smart+power+grids%22">Smart power grids</searchLink><br /><searchLink fieldCode="DE" term="%22Grids+%28Cartography%29%22">Grids (Cartography)</searchLink><br /><searchLink fieldCode="DE" term="%22Electric+lines%22">Electric lines</searchLink><br /><searchLink fieldCode="DE" term="%22Electric+power+distribution+grids%22">Electric power distribution grids</searchLink><br /><searchLink fieldCode="DE" term="%22Electric+power+consumption%22">Electric power consumption</searchLink><br /><searchLink fieldCode="DE" term="%22Electric+power+production%22">Electric power production</searchLink><br /><searchLink fieldCode="DE" term="%22Educational+objectives%22">Educational objectives</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Due to the concern over the depletion of conventional fuels and increasing environmental awareness, creating a smarter grid has gained more significance and has been alluring a wide range of industrial and academic stakeholders. One of the main features of a smart grid (SG) system is being a fully observable and controllable infrastructure from generation to the consumption of electricity among other features. A SG didactic system developed by the De Lorenzo company is utilized for this study. The didactic system is used as it serves measurements at all buses and includes diverse power grid units and devices to be used for the analysis of the system. A MATLAB/Simulink model is obtained pertaining to a SG system with generation units, transformers, transmission lines, loads, measurement devices, compensation units, and so on. Along with the modeling of each subsystem of the SG, the developed model is validated by the experiments on the real system, and also the system performance is analyzed. The SG model is validated step by step on the real test system with errors ranging from 0 to 10.03%. Hence, it has been proven that the model is able to be applied to an enlarged system and to be used for test and experimental studies of new types of equipment and educational purposes without depending on the physical system. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Energy Sources Part A: Recovery, Utilization & Environmental Effects is the property of Taylor & Francis Ltd 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=egs&AN=159267034 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1080/15567036.2022.2032881 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 16 StartPage: 6985 Subjects: – SubjectFull: Smart power grids Type: general – SubjectFull: Grids (Cartography) Type: general – SubjectFull: Electric lines Type: general – SubjectFull: Electric power distribution grids Type: general – SubjectFull: Electric power consumption Type: general – SubjectFull: Electric power production Type: general – SubjectFull: Educational objectives Type: general Titles: – TitleFull: Modeling, simulation, and experimental verification of a smart grid system. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Tozak, Macit – PersonEntity: Name: NameFull: Taskin, Sezai – PersonEntity: Name: NameFull: Sengor, Ibrahim IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 02 Text: 2022 Type: published Y: 2022 Identifiers: – Type: issn-print Value: 15567036 Numbering: – Type: volume Value: 44 – Type: issue Value: 3 Titles: – TitleFull: Energy Sources Part A: Recovery, Utilization & Environmental Effects Type: main |
| ResultId | 1 |
