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Research on Transient Overvoltage Characteristics and Mapping Relationships of Photovoltaic/PMSG Under Electromagnetic/Electromechanical Models.

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Title: Research on Transient Overvoltage Characteristics and Mapping Relationships of Photovoltaic/PMSG Under Electromagnetic/Electromechanical Models.
Authors: Xu, Shiyun1 (AUTHOR), Liu, Shiqi1 (AUTHOR), Wang, Shuyan2 (AUTHOR), Bi, Jingtian1 (AUTHOR) bijingtian@epri.sgcc.com.cn, Lan, Tiankai1 (AUTHOR)
Source: IET Renewable Power Generation (Wiley-Blackwell). Jan2025, Vol. 19 Issue 1, p1-21. 21p.
Subjects: Photovoltaic power generation, Overvoltage, Permanent magnet generators, Computational electromagnetics, Electromechanical effects, Statistical correlation, Sensitivity analysis
Geographic Terms: China
Abstract: As the 'dual carbon' goals continue to advance in China, the grid‐connected scale of new energy power generation equipment such as wind power and photovoltaic power is constantly increasing. Transient overvoltage issues caused by fault disturbances are becoming increasingly frequent, significantly increasing the risk of cascading grid disconnection and equipment damage. Therefore, rapid and accurate assessment of transient overvoltage in new energy systems is of critical importance. This paper first analyses the characteristics of transient overvoltage in new energy sources under both electromagnetic and electromechanical transient models, comparing the trends in key electrical parameters under the two types of models. Then, to combine the advantages of high accuracy in electromagnetic transient models and high speed in electromechanical transient models, this paper uses the Morris global sensitivity analysis method to identify the key influencing factors of transient overvoltage peaks. Subsequently, the QR decomposition‐based least squares method is employed to study the mapping relationship between overvoltage peaks in electromagnetic and electromechanical models. Finally, simulation verification confirms the accuracy of the mapping relationship. This method provides important references for system operation and maintenance, and also offers directions for further optimising system performance. [ABSTRACT FROM AUTHOR]
Copyright of IET Renewable Power Generation (Wiley-Blackwell) is the property of Wiley-Blackwell 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
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Header DbId: egs
DbLabel: Engineering Source
An: 190416596
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Label: Title
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  Data: Research on Transient Overvoltage Characteristics and Mapping Relationships of Photovoltaic/PMSG Under Electromagnetic/Electromechanical Models.
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  Data: <searchLink fieldCode="AR" term="%22Xu%2C+Shiyun%22">Xu, Shiyun</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Liu%2C+Shiqi%22">Liu, Shiqi</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Wang%2C+Shuyan%22">Wang, Shuyan</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Bi%2C+Jingtian%22">Bi, Jingtian</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> bijingtian@epri.sgcc.com.cn</i><br /><searchLink fieldCode="AR" term="%22Lan%2C+Tiankai%22">Lan, Tiankai</searchLink><relatesTo>1</relatesTo> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22IET+Renewable+Power+Generation+%28Wiley-Blackwell%29%22">IET Renewable Power Generation (Wiley-Blackwell)</searchLink>. Jan2025, Vol. 19 Issue 1, p1-21. 21p.
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  Data: <searchLink fieldCode="DE" term="%22Photovoltaic+power+generation%22">Photovoltaic power generation</searchLink><br /><searchLink fieldCode="DE" term="%22Overvoltage%22">Overvoltage</searchLink><br /><searchLink fieldCode="DE" term="%22Permanent+magnet+generators%22">Permanent magnet generators</searchLink><br /><searchLink fieldCode="DE" term="%22Computational+electromagnetics%22">Computational electromagnetics</searchLink><br /><searchLink fieldCode="DE" term="%22Electromechanical+effects%22">Electromechanical effects</searchLink><br /><searchLink fieldCode="DE" term="%22Statistical+correlation%22">Statistical correlation</searchLink><br /><searchLink fieldCode="DE" term="%22Sensitivity+analysis%22">Sensitivity analysis</searchLink>
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  Data: <searchLink fieldCode="DE" term="%22China%22">China</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: As the 'dual carbon' goals continue to advance in China, the grid‐connected scale of new energy power generation equipment such as wind power and photovoltaic power is constantly increasing. Transient overvoltage issues caused by fault disturbances are becoming increasingly frequent, significantly increasing the risk of cascading grid disconnection and equipment damage. Therefore, rapid and accurate assessment of transient overvoltage in new energy systems is of critical importance. This paper first analyses the characteristics of transient overvoltage in new energy sources under both electromagnetic and electromechanical transient models, comparing the trends in key electrical parameters under the two types of models. Then, to combine the advantages of high accuracy in electromagnetic transient models and high speed in electromechanical transient models, this paper uses the Morris global sensitivity analysis method to identify the key influencing factors of transient overvoltage peaks. Subsequently, the QR decomposition‐based least squares method is employed to study the mapping relationship between overvoltage peaks in electromagnetic and electromechanical models. Finally, simulation verification confirms the accuracy of the mapping relationship. This method provides important references for system operation and maintenance, and also offers directions for further optimising system performance. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of IET Renewable Power Generation (Wiley-Blackwell) is the property of Wiley-Blackwell 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: 10.1049/rpg2.70160
    Languages:
      – Code: eng
        Text: English
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      Pagination:
        PageCount: 21
        StartPage: 1
    Subjects:
      – SubjectFull: Photovoltaic power generation
        Type: general
      – SubjectFull: Overvoltage
        Type: general
      – SubjectFull: Permanent magnet generators
        Type: general
      – SubjectFull: Computational electromagnetics
        Type: general
      – SubjectFull: Electromechanical effects
        Type: general
      – SubjectFull: Statistical correlation
        Type: general
      – SubjectFull: Sensitivity analysis
        Type: general
      – SubjectFull: China
        Type: general
    Titles:
      – TitleFull: Research on Transient Overvoltage Characteristics and Mapping Relationships of Photovoltaic/PMSG Under Electromagnetic/Electromechanical Models.
        Type: main
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      – PersonEntity:
          Name:
            NameFull: Xu, Shiyun
      – PersonEntity:
          Name:
            NameFull: Liu, Shiqi
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            NameFull: Wang, Shuyan
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            NameFull: Bi, Jingtian
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            NameFull: Lan, Tiankai
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            – D: 01
              M: 01
              Text: Jan2025
              Type: published
              Y: 2025
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              Value: 19
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            – TitleFull: IET Renewable Power Generation (Wiley-Blackwell)
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