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Simpson's rule based accurate mathematical modelling of photovoltaic cell using multi-objective genetic algorithm for hardware verification.

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Title: Simpson's rule based accurate mathematical modelling of photovoltaic cell using multi-objective genetic algorithm for hardware verification.
Authors: IssanRaj, R.1 (AUTHOR) issanraajr@gmail.com, Visalakshi, S.1 (AUTHOR)
Source: Journal of Intelligent & Fuzzy Systems. 2022, Vol. 43 Issue 4, p4629-4643. 15p.
Subjects: Photovoltaic cells, Integrated circuit verification, Mathematical models, Solar cells, Hardware stores, Genetic algorithms, Diodes, Painlevé equations
Abstract: The behaviour and effective performance of solar cell is represented by Triple Diode Solar Cell Module (TDSCM) circuit with five parameters for different environmental conditions. The equations described the solar modules behaviour are usually implicit in nature and the parameter extraction was very complexity. From the Photovoltaic (PV) module data sheet, one can identify the four equations applying to single, double, and triple diode parameters. For getting fifth equation researchers have gone with several approximations, which concludes the computation complexity, convergence problem, and low accuracy issues. In the proposed work the fifth equation are framed under the area characteristics curve (V-I & P-V) concept using Simpson's approximation. To find which PV module is less accuracy and non-linearity consideration for the performance level. Therefore, to overcome these issues the multi-objective Genetic Algorithm (GA) optimization method are prescribed to frame the fifth equation of the Simpson's rules. This works improved non-linearity performance and gives the high accuracy modelling compare to other single, double diode methods. [ABSTRACT FROM AUTHOR]
Copyright of Journal of Intelligent & Fuzzy Systems is the property of Sage Publications Inc. 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.)
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  Label: Title
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  Data: Simpson's rule based accurate mathematical modelling of photovoltaic cell using multi-objective genetic algorithm for hardware verification.
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  Data: <searchLink fieldCode="AR" term="%22IssanRaj%2C+R%2E%22">IssanRaj, R.</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> issanraajr@gmail.com</i><br /><searchLink fieldCode="AR" term="%22Visalakshi%2C+S%2E%22">Visalakshi, S.</searchLink><relatesTo>1</relatesTo> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Intelligent+%26+Fuzzy+Systems%22">Journal of Intelligent & Fuzzy Systems</searchLink>. 2022, Vol. 43 Issue 4, p4629-4643. 15p.
– Name: Subject
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  Data: <searchLink fieldCode="DE" term="%22Photovoltaic+cells%22">Photovoltaic cells</searchLink><br /><searchLink fieldCode="DE" term="%22Integrated+circuit+verification%22">Integrated circuit verification</searchLink><br /><searchLink fieldCode="DE" term="%22Mathematical+models%22">Mathematical models</searchLink><br /><searchLink fieldCode="DE" term="%22Solar+cells%22">Solar cells</searchLink><br /><searchLink fieldCode="DE" term="%22Hardware+stores%22">Hardware stores</searchLink><br /><searchLink fieldCode="DE" term="%22Genetic+algorithms%22">Genetic algorithms</searchLink><br /><searchLink fieldCode="DE" term="%22Diodes%22">Diodes</searchLink><br /><searchLink fieldCode="DE" term="%22Painlevé+equations%22">Painlevé equations</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: The behaviour and effective performance of solar cell is represented by Triple Diode Solar Cell Module (TDSCM) circuit with five parameters for different environmental conditions. The equations described the solar modules behaviour are usually implicit in nature and the parameter extraction was very complexity. From the Photovoltaic (PV) module data sheet, one can identify the four equations applying to single, double, and triple diode parameters. For getting fifth equation researchers have gone with several approximations, which concludes the computation complexity, convergence problem, and low accuracy issues. In the proposed work the fifth equation are framed under the area characteristics curve (V-I & P-V) concept using Simpson's approximation. To find which PV module is less accuracy and non-linearity consideration for the performance level. Therefore, to overcome these issues the multi-objective Genetic Algorithm (GA) optimization method are prescribed to frame the fifth equation of the Simpson's rules. This works improved non-linearity performance and gives the high accuracy modelling compare to other single, double diode methods. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Journal of Intelligent & Fuzzy Systems is the property of Sage Publications Inc. 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.)
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RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.3233/JIFS-220561
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 15
        StartPage: 4629
    Subjects:
      – SubjectFull: Photovoltaic cells
        Type: general
      – SubjectFull: Integrated circuit verification
        Type: general
      – SubjectFull: Mathematical models
        Type: general
      – SubjectFull: Solar cells
        Type: general
      – SubjectFull: Hardware stores
        Type: general
      – SubjectFull: Genetic algorithms
        Type: general
      – SubjectFull: Diodes
        Type: general
      – SubjectFull: Painlevé equations
        Type: general
    Titles:
      – TitleFull: Simpson's rule based accurate mathematical modelling of photovoltaic cell using multi-objective genetic algorithm for hardware verification.
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          Name:
            NameFull: IssanRaj, R.
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          Name:
            NameFull: Visalakshi, S.
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          Dates:
            – D: 01
              M: 10
              Text: 2022
              Type: published
              Y: 2022
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              Value: 43
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              Value: 4
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            – TitleFull: Journal of Intelligent & Fuzzy Systems
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