Pulse Compression Probing for Active Islanding Detection †.
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| 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 |
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| Header | DbId: egs DbLabel: Engineering Source An: 186601064 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| 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.) |
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| 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 |
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