2026-04-13T02:24:10Zhttps://recercat.cat/oai/request

oai:recercat.cat:10256/184722024-06-13T09:51:32Zcom_2072_453036com_2072_2054col_2072_453038

2024-06-13T09:51:32Z urn:hdl:10256/18472 Comparison of Principal Component Analysis Techniques for PMU Data Event Detection Souto, Laiz Meléndez i Frigola, Joaquim Herraiz Jaramillo, Sergio Errors de sistemes (Enginyeria) -- Localització -- Congressos System failures (Engineering) -- Location -- Congresses Control electrònic -- Congressos Electronic control -- Congresses Anàlisi de components principals -- Congressos Principal components analysis -- Congresses Comunicació de congrés presentada a: 2020 IEEE Power and Energy Society General Meeting, Montreal, QC, Canada, 2020, 3-6 August. https://pes-gm.org/2020/ Principal component analysis (PCA) is a dimensionality reduction technique often applied to process and detect events in large amounts of data collected by phasor measurement units (PMU) at transmission and distribution level. This article considers five different approaches to select an appropriate number of principal components, builds the statistical model of the PMU data online over a sliding window of 10 seconds and 1 minute, and evaluates the computation times and the accuracy of correct event detections with use of two statistical tests in a 1−hour data file from the UT-Austin Independent Texas Synchrophasor Network with phasor quantities collected at different PMU substations This research was supported by the European Union’s Horizon 2020 research and innovation programme, call LCE- 01-2016-2017, under the auspices of the project “Renewable penetration levered by Efficient Low Voltage Distribution grids”, grant agreement number 773715, and University of Girona scholarship. 2024-06-13T09:51:32Z 2024-06-13T09:51:32Z info:eu-repo/date/embargoEnd/2021-02-06 2020-08 info:eu-repo/semantics/conferenceObject info:eu-repo/semantics/acceptedVersion http://hdl.handle.net/10256/18472 info:eu-repo/semantics/altIdentifier/doi/10.1109/PESGM41954.2020.9281512 info:eu-repo/grantAgreement/EC/H2020/773715/EU/Renewable penetration levered by Efficient Low Voltage Distribution grids/RESOLVD Tots els drets reservats info:eu-repo/semantics/openAccess IEEE © 2020 IEEE Power & Energy Society General Meeting (PESGM), Montreal, QC, Canada, 2020, p. 1-5 Contribucions a Congressos (D-EEEiA)