Dynamic Boundary Dissemination to Virtual Power Plants for Congestion and Voltage Management in Power Distribution Networks.

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Title: Dynamic Boundary Dissemination to Virtual Power Plants for Congestion and Voltage Management in Power Distribution Networks.
Authors: Gholami, Khalil1 (AUTHOR) k.gholami@deakin.edu.au, Arif, Mohammad Taufiqul1 (AUTHOR) m.arif@deakin.edu.au, Haque, Md Enamul1 (AUTHOR)
Source: Energies (19961073). Feb2025, Vol. 18 Issue 3, p518. 27p.
Subject Terms: *Power distribution networks, *Computer network security, *Voltage control, *Distribution management, *Power plants
Abstract: Virtual power plants (VPPs) are optimized to maximize profits by efficiently scheduling their resources. However, dynamic power trading over existing distribution networks can lead to voltage disturbances and branch congestion, posing risks to network security. Moreover, distribution network service providers (DNSPs) face the added challenge of managing VPP operations while complying with privacy preservation. To address these challenges, this paper proposes a decentralized co-optimization technique for integrating VPPs into distribution networks. The approach enables DNSPs to define dynamic operational boundaries for VPPs, effectively mitigating network congestion and voltage fluctuations while ensuring privacy. Additionally, the proposed convex optimization framework allows the publication of operational boundaries for multiple VPPs with minimal computational effort, making it suitable for real-time applications. The effectiveness of the technique is validated using the IEEE benchmark network connected with electricity–hydrogen VPPs. Results demonstrate that the proposed approach maintains voltage levels within standard limits and prevents branch congestion, confirming its suitability for stable and secure grid operations. [ABSTRACT FROM AUTHOR]
Database: Energy & Power Source
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Header DbId: enr
DbLabel: Energy & Power Source
An: 182985379
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PubType: Academic Journal
PubTypeId: academicJournal
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  Label: Title
  Group: Ti
  Data: Dynamic Boundary Dissemination to Virtual Power Plants for Congestion and Voltage Management in Power Distribution Networks.
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  Data: <searchLink fieldCode="AR" term="%22Gholami%2C+Khalil%22">Gholami, Khalil</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> k.gholami@deakin.edu.au</i><br /><searchLink fieldCode="AR" term="%22Arif%2C+Mohammad+Taufiqul%22">Arif, Mohammad Taufiqul</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> m.arif@deakin.edu.au</i><br /><searchLink fieldCode="AR" term="%22Haque%2C+Md+Enamul%22">Haque, Md Enamul</searchLink><relatesTo>1</relatesTo> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Energies+%2819961073%29%22">Energies (19961073)</searchLink>. Feb2025, Vol. 18 Issue 3, p518. 27p.
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  Data: *<searchLink fieldCode="DE" term="%22Power+distribution+networks%22">Power distribution networks</searchLink><br />*<searchLink fieldCode="DE" term="%22Computer+network+security%22">Computer network security</searchLink><br />*<searchLink fieldCode="DE" term="%22Voltage+control%22">Voltage control</searchLink><br />*<searchLink fieldCode="DE" term="%22Distribution+management%22">Distribution management</searchLink><br />*<searchLink fieldCode="DE" term="%22Power+plants%22">Power plants</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Virtual power plants (VPPs) are optimized to maximize profits by efficiently scheduling their resources. However, dynamic power trading over existing distribution networks can lead to voltage disturbances and branch congestion, posing risks to network security. Moreover, distribution network service providers (DNSPs) face the added challenge of managing VPP operations while complying with privacy preservation. To address these challenges, this paper proposes a decentralized co-optimization technique for integrating VPPs into distribution networks. The approach enables DNSPs to define dynamic operational boundaries for VPPs, effectively mitigating network congestion and voltage fluctuations while ensuring privacy. Additionally, the proposed convex optimization framework allows the publication of operational boundaries for multiple VPPs with minimal computational effort, making it suitable for real-time applications. The effectiveness of the technique is validated using the IEEE benchmark network connected with electricity–hydrogen VPPs. Results demonstrate that the proposed approach maintains voltage levels within standard limits and prevents branch congestion, confirming its suitability for stable and secure grid operations. [ABSTRACT FROM AUTHOR]
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RecordInfo BibRecord:
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        Value: 10.3390/en18030518
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 27
        StartPage: 518
    Subjects:
      – SubjectFull: Power distribution networks
        Type: general
      – SubjectFull: Computer network security
        Type: general
      – SubjectFull: Voltage control
        Type: general
      – SubjectFull: Distribution management
        Type: general
      – SubjectFull: Power plants
        Type: general
    Titles:
      – TitleFull: Dynamic Boundary Dissemination to Virtual Power Plants for Congestion and Voltage Management in Power Distribution Networks.
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            NameFull: Gholami, Khalil
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            NameFull: Arif, Mohammad Taufiqul
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            NameFull: Haque, Md Enamul
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            – D: 01
              M: 02
              Text: Feb2025
              Type: published
              Y: 2025
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              Value: 18
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              Value: 3
          Titles:
            – TitleFull: Energies (19961073)
              Type: main
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