Pulse Compression Probing for Active Islanding Detection †.

Saved in:
Bibliographic Details
Title: Pulse Compression Probing for Active Islanding Detection †.
Authors: Piaquadio, Nicholas1 (AUTHOR) npiaqua1@binghamton.edu, Wu, N. Eva1 (AUTHOR), Sarailoo, Morteza1 (AUTHOR)
Source: Energies (19961073). Jul2025, Vol. 18 Issue 13, p3354. 23p.
Subjects: Pulse compression (Signal processing), Microgrids, Electric power system stability, Dynamic simulation, Signal detection, Detection algorithms, Distributed power generation
Abstract: The rapid growth of inverter-based resources (IBRs) has created a need for new islanding detection methodologies to determine whether an IBR has been disconnected from the transmission grid in some manner (islanded) or remains connected to the transmission grid (grid-connected). Active islanding detection methods inject a signal into the power system to achieve detection. Existing schemes frequently limit consideration to a single node system with one IBR. Schemes tested on multiple IBRs often see interference, with the signals from one IBR disturbing the others, or require intricate communication. Further, several methods destabilize an islanded grid to detect it, preventing a prospective microgrid from remaining in operation while islanded. This work develops an active islanding detection scheme using Pulse Compression Probing (PCP) that is microgrid-compatible and can be used with multiple IBRs without requirement for communication. This active islanding detection scheme can be implemented on existing inverter switching sequences and has a detection time of 167–223 ms, well within the detection time specified by existing standards. The method is verified via electromagnetic transient (EMT) simulation on a modified version of a 34-bus test system. [ABSTRACT FROM AUTHOR]
Copyright of Energies (19961073) is the property of MDPI 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
Full text is not displayed to guests.
FullText Links:
  – Type: pdflink
Text:
  Availability: 1
Header DbId: egs
DbLabel: Engineering Source
An: 186601064
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Pulse Compression Probing for Active Islanding Detection †.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Piaquadio%2C+Nicholas%22">Piaquadio, Nicholas</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> npiaqua1@binghamton.edu</i><br /><searchLink fieldCode="AR" term="%22Wu%2C+N%2E+Eva%22">Wu, N. Eva</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Sarailoo%2C+Morteza%22">Sarailoo, Morteza</searchLink><relatesTo>1</relatesTo> (AUTHOR)
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22Energies+%2819961073%29%22">Energies (19961073)</searchLink>. Jul2025, Vol. 18 Issue 13, p3354. 23p.
– Name: Subject
  Label: Subjects
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Pulse+compression+%28Signal+processing%29%22">Pulse compression (Signal processing)</searchLink><br /><searchLink fieldCode="DE" term="%22Microgrids%22">Microgrids</searchLink><br /><searchLink fieldCode="DE" term="%22Electric+power+system+stability%22">Electric power system stability</searchLink><br /><searchLink fieldCode="DE" term="%22Dynamic+simulation%22">Dynamic simulation</searchLink><br /><searchLink fieldCode="DE" term="%22Signal+detection%22">Signal detection</searchLink><br /><searchLink fieldCode="DE" term="%22Detection+algorithms%22">Detection algorithms</searchLink><br /><searchLink fieldCode="DE" term="%22Distributed+power+generation%22">Distributed power generation</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: The rapid growth of inverter-based resources (IBRs) has created a need for new islanding detection methodologies to determine whether an IBR has been disconnected from the transmission grid in some manner (islanded) or remains connected to the transmission grid (grid-connected). Active islanding detection methods inject a signal into the power system to achieve detection. Existing schemes frequently limit consideration to a single node system with one IBR. Schemes tested on multiple IBRs often see interference, with the signals from one IBR disturbing the others, or require intricate communication. Further, several methods destabilize an islanded grid to detect it, preventing a prospective microgrid from remaining in operation while islanded. This work develops an active islanding detection scheme using Pulse Compression Probing (PCP) that is microgrid-compatible and can be used with multiple IBRs without requirement for communication. This active islanding detection scheme can be implemented on existing inverter switching sequences and has a detection time of 167–223 ms, well within the detection time specified by existing standards. The method is verified via electromagnetic transient (EMT) simulation on a modified version of a 34-bus test system. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Energies (19961073) is the property of MDPI 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=186601064
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.3390/en18133354
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 23
        StartPage: 3354
    Subjects:
      – SubjectFull: Pulse compression (Signal processing)
        Type: general
      – SubjectFull: Microgrids
        Type: general
      – SubjectFull: Electric power system stability
        Type: general
      – SubjectFull: Dynamic simulation
        Type: general
      – SubjectFull: Signal detection
        Type: general
      – SubjectFull: Detection algorithms
        Type: general
      – SubjectFull: Distributed power generation
        Type: general
    Titles:
      – TitleFull: Pulse Compression Probing for Active Islanding Detection †.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Piaquadio, Nicholas
      – PersonEntity:
          Name:
            NameFull: Wu, N. Eva
      – PersonEntity:
          Name:
            NameFull: Sarailoo, Morteza
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 07
              Text: Jul2025
              Type: published
              Y: 2025
          Identifiers:
            – Type: issn-print
              Value: 19961073
          Numbering:
            – Type: volume
              Value: 18
            – Type: issue
              Value: 13
          Titles:
            – TitleFull: Energies (19961073)
              Type: main
ResultId 1