A simple and accurate energy-detector-based transient waveform detection for smart grids: real-world field data performance

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dc.contributor.authorEkti, Ali Riza
dc.contributor.authorWilson, Aaron
dc.contributor.authorOlatt, Joseph
dc.contributor.authorHolliman, John
dc.contributor.authorYarkan, Serhan
dc.contributor.authorFuhr, Peter
dc.date.accessioned2023-01-30T13:13:30Z
dc.date.available2023-01-30T13:13:30Z
dc.date.issued2022en_US
dc.departmentFakülteler, Mühendislik Fakültesi, Elektrik-Elektronik Mühendisliği Bölümüen_US
dc.description.abstractIntegration of distributed energy sources, advanced meshed operation, sensors, automation, and communication networks all contribute to autonomous operations and decision-making processes utilized in the grid. Therefore, smart grid systems require sophisticated supporting structures. Furthermore, rapid detection and identification of disturbances and transients are a necessary first step towards situationally aware smart grid systems. This way, high-level monitoring is achieved and the entire system kept operational. Even though smart grid systems are unavoidably sophisticated, low-complexity algorithms need to be developed for real-time sensing on the edge and online applications to alert stakeholders in the event of an anomaly. In this study, the simplest form of anomaly detection mechanism in the absence of any a priori knowledge, namely, the energy detector (also known as radiometer in the field of wireless communications and signal processing), is investigated as a triggering mechanism, which may include automated alerts and notifications for grid anomalies. In contrast to the mainstream literature, it does not rely on transform domain tools; therefore, utmost design and implementation simplicity are attained. Performance results of the proposed energy detector algorithm are validated by real power system data obtained from the DOE/EPRI National Database of power system events and the Grid Signature Library.en_US
dc.identifier.doi10.3390/en15228367en_US
dc.identifier.scopus2-s2.0-85142650819en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.urihttps://hdl.handle.net/11467/6173
dc.identifier.urihttps://doi.org/10.3390/en15228367
dc.identifier.wosWOS:000887196700001en_US
dc.identifier.wosqualityQ3en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherMDPIen_US
dc.relation.ispartofEnergiesen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjecttransient and anomaly detection; energy detector; grid signature library; arcing; wildfire; smart griden_US
dc.titleA simple and accurate energy-detector-based transient waveform detection for smart grids: real-world field data performanceen_US
dc.typeArticleen_US

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