Pulse Compression Probing for Active Islanding Detection

Nicholas Piaquadio (), N. Eva Wu and Morteza Sarailoo
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Nicholas Piaquadio: Department of Electrical and Computer Engineering, State University of New York at Binghamton, Binghamton, NY 13902, USA
N. Eva Wu: Department of Electrical and Computer Engineering, State University of New York at Binghamton, Binghamton, NY 13902, USA
Morteza Sarailoo: Department of Electrical and Computer Engineering, State University of New York at Binghamton, Binghamton, NY 13902, USA

Energies, 2025, vol. 18, issue 13, 1-23

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.

Keywords: distributed energy resources; gap metric; islanding detection; pulse compression probing (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2025
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