Algorithms for Detecting Nearby Loss of Generation Events for Decentralized Controls

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dc.contributor.authorDahal, Niraj
dc.contributor.authorRovnyak, Steven M.
dc.contributor.departmentElectrical and Computer Engineering, School of Engineering and Technologyen_US
dc.date.accessioned2023-04-26T18:12:51Z
dc.date.available2023-04-26T18:12:51Z
dc.date.issued2021-04
dc.description.abstractThe paper describes algorithms to screen realtime frequency data for detecting nearby loss of generation events. Results from Fourier calculation are combined with other features to effectively distinguish a nearby loss of generation from similar remote disturbances. Nearby in this context usually refers to an event occurring around 50-100 miles from the measurement location. The proposed algorithm can be trained using pattern recognition tools like decision trees to enable smart devices including appliances like residential air conditioners and dryers to autonomously detect and estimate the source of large frequency disturbances. An area of application of this strategy is to actuate controls such as location targeted under frequency load shedding (UFLS) so that loads closest to a tripped generator are the most likely to shut down.en_US
dc.eprint.versionAuthor's manuscripten_US
dc.identifier.citationDahal, N., & Rovnyak, S. M. (2021). Algorithms for Detecting Nearby Loss of Generation Events for Decentralized Controls. 2021 IEEE Power and Energy Conference at Illinois (PECI), 1–7. https://doi.org/10.1109/PECI51586.2021.9435265en_US
dc.identifier.issn978-1-72818-648-1en_US
dc.identifier.urihttps://hdl.handle.net/1805/32637
dc.language.isoen_USen_US
dc.publisherIEEE Xploreen_US
dc.relation.isversionof10.1109/PECI51586.2021.9435265en_US
dc.relation.journal2021 IEEE Power and Energy Conference at Illinois (PECI)en_US
dc.rightsPublisher Policyen_US
dc.sourceAuthoren_US
dc.subjectDecision treesen_US
dc.subjectSupervised learningen_US
dc.subjectPattern recognitionen_US
dc.subjectPower systemsen_US
dc.titleAlgorithms for Detecting Nearby Loss of Generation Events for Decentralized Controlsen_US
dc.typeConference proceedingsen_US
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