A Comprehensive Survey of Accurate and Efficient Aggregation Modeling for High Penetration of Large-Scale Wind Farms in Smart Grid

Bibliographic Details
Title: A Comprehensive Survey of Accurate and Efficient Aggregation Modeling for High Penetration of Large-Scale Wind Farms in Smart Grid
Authors: Fang Liu, Junjie Ma, Wendan Zhang, Min Wu
Source: Applied Sciences, Vol 9, Iss 4, p 769 (2019)
Publisher Information: MDPI AG, 2019.
Publication Year: 2019
Collection: LCC:Technology
LCC:Engineering (General). Civil engineering (General)
LCC:Biology (General)
LCC:Physics
LCC:Chemistry
Subject Terms: aggregation model, wind farm, wind speed model, wind turbine generator, transmission system, Technology, Engineering (General). Civil engineering (General), TA1-2040, Biology (General), QH301-705.5, Physics, QC1-999, Chemistry, QD1-999
More Details: As one of the important renewable energies, wind power has been exploited worldwide. Modeling plays an important role in the high penetration of wind farms in smart grids. Aggregation modeling, whose benefits include low computational complexity and high computing speed, is widely used in wind farm modeling and simulation. To contribute to the development of wind power generation, a comprehensive survey of the aggregation modeling of wind farms is given in this article. A wind farm aggregation model consists of three parts, respectively, the wind speed model, the wind turbine generator (WTG) model, and the WTG transmission system model. Different modeling and aggregation methods, principles, and formulas for the above three parts are introduced. First, the features and emphasis of different wind speed models are discussed. Then, the aggregated wind turbine generator (WTG) models are divided into single WTG and multi-WTG aggregation models, considering the aggregation of wind turbines and generators, respectively. The calculation methods for the wind conditions and parameters of different aggregation models are discussed. Finally, the WTG transmission model of the wind farm from the aggregation bus is introduced. Some research directions are highlighted in the end according to the issues related to the aggregation modeling of wind farms in smart grids.
Document Type: article
File Description: electronic resource
Language: English
ISSN: 2076-3417
Relation: https://www.mdpi.com/2076-3417/9/4/769; https://doaj.org/toc/2076-3417
DOI: 10.3390/app9040769
Access URL: https://doaj.org/article/310264a27ed548e69bf7fdde645bf5d2
Accession Number: edsdoj.310264a27ed548e69bf7fdde645bf5d2
Database: Directory of Open Access Journals
FullText Links:
  – Type: pdflink
    Url: https://content.ebscohost.com/cds/retrieve?content=AQICAHjPtM4BHU3ZchRwgzYmadcigk49r9CVlbU7V5F6lgH7WwH0Q_bW9M9maqzDGzV-E7LWAAAA4jCB3wYJKoZIhvcNAQcGoIHRMIHOAgEAMIHIBgkqhkiG9w0BBwEwHgYJYIZIAWUDBAEuMBEEDH_JP-wGpZ9OvOVWcAIBEICBmujXJ5EFcJcyLjWIoc4O-OUJn1SVmtcka0a3byJ_hVTmwLSiGqTOxmoffo26d-FpkNwr8uW_ykEbSHQKoLsjkVrGJZmUwxoEx2qsBRz9olawZlGud3UY8IXI894PzFdpQLWX9s6NU9QDRONNW6eq4Ng2rMUO5tN-059IrQjiAxb37oakLCRx7I2NsTc7KOj-P9wShoCJoLCQHTA=
Text:
  Availability: 0
CustomLinks:
  – Url: https://resolver.ebsco.com/c/xy5jbn/result?sid=EBSCO:edsdoj&genre=article&issn=20763417&ISBN=&volume=9&issue=4&date=20190201&spage=769&pages=769-769&title=Applied Sciences&atitle=A%20Comprehensive%20Survey%20of%20Accurate%20and%20Efficient%20Aggregation%20Modeling%20for%20High%20Penetration%20of%20Large-Scale%20Wind%20Farms%20in%20Smart%20Grid&aulast=Fang%20Liu&id=DOI:10.3390/app9040769
    Name: Full Text Finder (for New FTF UI) (s8985755)
    Category: fullText
    Text: Find It @ SCU Libraries
    MouseOverText: Find It @ SCU Libraries
  – Url: https://doaj.org/article/310264a27ed548e69bf7fdde645bf5d2
    Name: EDS - DOAJ (s8985755)
    Category: fullText
    Text: View record from DOAJ
    MouseOverText: View record from DOAJ
Header DbId: edsdoj
DbLabel: Directory of Open Access Journals
An: edsdoj.310264a27ed548e69bf7fdde645bf5d2
RelevancyScore: 868
AccessLevel: 3
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 867.677612304688
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: A Comprehensive Survey of Accurate and Efficient Aggregation Modeling for High Penetration of Large-Scale Wind Farms in Smart Grid
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Fang+Liu%22">Fang Liu</searchLink><br /><searchLink fieldCode="AR" term="%22Junjie+Ma%22">Junjie Ma</searchLink><br /><searchLink fieldCode="AR" term="%22Wendan+Zhang%22">Wendan Zhang</searchLink><br /><searchLink fieldCode="AR" term="%22Min+Wu%22">Min Wu</searchLink>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: Applied Sciences, Vol 9, Iss 4, p 769 (2019)
– Name: Publisher
  Label: Publisher Information
  Group: PubInfo
  Data: MDPI AG, 2019.
– Name: DatePubCY
  Label: Publication Year
  Group: Date
  Data: 2019
– Name: Subset
  Label: Collection
  Group: HoldingsInfo
  Data: LCC:Technology<br />LCC:Engineering (General). Civil engineering (General)<br />LCC:Biology (General)<br />LCC:Physics<br />LCC:Chemistry
– Name: Subject
  Label: Subject Terms
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22aggregation+model%22">aggregation model</searchLink><br /><searchLink fieldCode="DE" term="%22wind+farm%22">wind farm</searchLink><br /><searchLink fieldCode="DE" term="%22wind+speed+model%22">wind speed model</searchLink><br /><searchLink fieldCode="DE" term="%22wind+turbine+generator%22">wind turbine generator</searchLink><br /><searchLink fieldCode="DE" term="%22transmission+system%22">transmission system</searchLink><br /><searchLink fieldCode="DE" term="%22Technology%22">Technology</searchLink><br /><searchLink fieldCode="DE" term="%22Engineering+%28General%29%2E+Civil+engineering+%28General%29%22">Engineering (General). Civil engineering (General)</searchLink><br /><searchLink fieldCode="DE" term="%22TA1-2040%22">TA1-2040</searchLink><br /><searchLink fieldCode="DE" term="%22Biology+%28General%29%22">Biology (General)</searchLink><br /><searchLink fieldCode="DE" term="%22QH301-705%2E5%22">QH301-705.5</searchLink><br /><searchLink fieldCode="DE" term="%22Physics%22">Physics</searchLink><br /><searchLink fieldCode="DE" term="%22QC1-999%22">QC1-999</searchLink><br /><searchLink fieldCode="DE" term="%22Chemistry%22">Chemistry</searchLink><br /><searchLink fieldCode="DE" term="%22QD1-999%22">QD1-999</searchLink>
– Name: Abstract
  Label: Description
  Group: Ab
  Data: As one of the important renewable energies, wind power has been exploited worldwide. Modeling plays an important role in the high penetration of wind farms in smart grids. Aggregation modeling, whose benefits include low computational complexity and high computing speed, is widely used in wind farm modeling and simulation. To contribute to the development of wind power generation, a comprehensive survey of the aggregation modeling of wind farms is given in this article. A wind farm aggregation model consists of three parts, respectively, the wind speed model, the wind turbine generator (WTG) model, and the WTG transmission system model. Different modeling and aggregation methods, principles, and formulas for the above three parts are introduced. First, the features and emphasis of different wind speed models are discussed. Then, the aggregated wind turbine generator (WTG) models are divided into single WTG and multi-WTG aggregation models, considering the aggregation of wind turbines and generators, respectively. The calculation methods for the wind conditions and parameters of different aggregation models are discussed. Finally, the WTG transmission model of the wind farm from the aggregation bus is introduced. Some research directions are highlighted in the end according to the issues related to the aggregation modeling of wind farms in smart grids.
– Name: TypeDocument
  Label: Document Type
  Group: TypDoc
  Data: article
– Name: Format
  Label: File Description
  Group: SrcInfo
  Data: electronic resource
– Name: Language
  Label: Language
  Group: Lang
  Data: English
– Name: ISSN
  Label: ISSN
  Group: ISSN
  Data: 2076-3417
– Name: NoteTitleSource
  Label: Relation
  Group: SrcInfo
  Data: https://www.mdpi.com/2076-3417/9/4/769; https://doaj.org/toc/2076-3417
– Name: DOI
  Label: DOI
  Group: ID
  Data: 10.3390/app9040769
– Name: URL
  Label: Access URL
  Group: URL
  Data: <link linkTarget="URL" linkTerm="https://doaj.org/article/310264a27ed548e69bf7fdde645bf5d2" linkWindow="_blank">https://doaj.org/article/310264a27ed548e69bf7fdde645bf5d2</link>
– Name: AN
  Label: Accession Number
  Group: ID
  Data: edsdoj.310264a27ed548e69bf7fdde645bf5d2
PLink https://login.libproxy.scu.edu/login?url=https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&scope=site&db=edsdoj&AN=edsdoj.310264a27ed548e69bf7fdde645bf5d2
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.3390/app9040769
    Languages:
      – Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 1
        StartPage: 769
    Subjects:
      – SubjectFull: aggregation model
        Type: general
      – SubjectFull: wind farm
        Type: general
      – SubjectFull: wind speed model
        Type: general
      – SubjectFull: wind turbine generator
        Type: general
      – SubjectFull: transmission system
        Type: general
      – SubjectFull: Technology
        Type: general
      – SubjectFull: Engineering (General). Civil engineering (General)
        Type: general
      – SubjectFull: TA1-2040
        Type: general
      – SubjectFull: Biology (General)
        Type: general
      – SubjectFull: QH301-705.5
        Type: general
      – SubjectFull: Physics
        Type: general
      – SubjectFull: QC1-999
        Type: general
      – SubjectFull: Chemistry
        Type: general
      – SubjectFull: QD1-999
        Type: general
    Titles:
      – TitleFull: A Comprehensive Survey of Accurate and Efficient Aggregation Modeling for High Penetration of Large-Scale Wind Farms in Smart Grid
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Fang Liu
      – PersonEntity:
          Name:
            NameFull: Junjie Ma
      – PersonEntity:
          Name:
            NameFull: Wendan Zhang
      – PersonEntity:
          Name:
            NameFull: Min Wu
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 02
              Type: published
              Y: 2019
          Identifiers:
            – Type: issn-print
              Value: 20763417
          Numbering:
            – Type: volume
              Value: 9
            – Type: issue
              Value: 4
          Titles:
            – TitleFull: Applied Sciences
              Type: main
ResultId 1