Statistical Method of Low Frequency Oscillations Analysis in Power Systems Based on Phasor Measurements

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dc.contributor.authorSenyuk, Mihail
dc.contributor.authorElnaggar, Mohamed F.
dc.contributor.authorSafaraliev, Murodbek
dc.contributor.authorKamalov, Firuz
dc.contributor.authorKamel, Salah
dc.date.accessioned2023-02-20T10:23:08Z
dc.date.available2023-02-20T10:23:08Z
dc.date.copyright© 2023
dc.date.issued2023-01
dc.descriptionThis work is licensed under Creative Commons License and full text is openly accessible in CUD Digital Repository. The version of the scholarly record of this work is published in Mathematics (2023), available online at: https://doi.org/10.3390/math11020393
dc.description.abstractThis study aims to develop and test a new accelerated method for analyzing low-frequency oscillations in power systems using phasor measurements. The proposed method is based on the use of mathematical statistics methods that do not require significant computing power and have high reliability. Changes in the structure of power generation and integration of control devices based on power electronics cause low-frequency oscillations of power system operation parameters that present a threat. These changes result in a reduction in the total inertia of power systems with the subsequent impact on the operation of automatic voltage regulators and power system stabilizers, the purpose of which is to damp low-frequency oscillations. We conduct a careful review of the existing methods for low-frequency oscillations analysis in power systems to identify the gaps in the literature and design a new method to address the issues. The proposed method is tested on real-life data that was obtained during a disturbance with a transient event. Estimation of the low-frequency oscillation parameters was carried out, and the potential threat posed by these phenomena was examined. The implementation of the proposed algorithm for analyzing low-frequency oscillations is done using the Matlab programming language. Evaluation of the proposed algorithm is performed on physical data obtained during real transient processes occurring at large power plants. © 2023 by the authors.
dc.description.sponsorshipThis study is supported via funding from prince Sattam bin Abdulaziz University Project number (PSAU/2023/R/1444).
dc.identifier.citationSenyuk, M., Elnaggar, M. F., Safaraliev, M., Kamalov, F., & Kamel, S. (2023). Statistical method of low frequency oscillations analysis in power systems based on phasor measurements. Mathematics, 11(2). https://doi.org/10.3390/math11020393
dc.identifier.issn22277390
dc.identifier.urihttps://doi.org/10.3390/math11020393
dc.identifier.urihttps://hdl.handle.net/20.500.12519/747
dc.language.isoen_US
dc.publisherMDPI
dc.relationAuthors Affiliations : Senyuk, M., Department of Automated Electrical Systems, Ural Federal University, Yekaterinburg, 620002, Russian Federation; Elnaggar, M.F., Department of Electrical Engineering, College of Engineering, Prince Sattam Bin Abdulaziz University, Al-Kharj, 11942, Saudi Arabia, Department of Electrical Power and Machines Engineering, Faculty of Engineering, Helwan University, Helwan, 11795, Egypt; Safaraliev, M., Department of Automated Electrical Systems, Ural Federal University, Yekaterinburg, 620002, Russian Federation; Kamalov, F., Department of Electrical Engineering, Canadian University Dubai, Dubai, 117781, United Arab Emirates; Kamel, S., Department of Electrical Engineering, Faculty of Engineering, Aswan University, Aswan, 81542, Egypt, Applied Science Research Center, Applied Science Private University, Amman, 11931, Jordan
dc.relation.ispartofseriesMathematics; Volume 11, Issue 2
dc.rightsCreative Commons Attribution (CC BY) license
dc.rights.holderCopyright : © 2023 by the authors.
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectlow-frequency oscillation
dc.subjectphasor measurement unit
dc.subjectpower system
dc.subjectsignal processing
dc.subjectstatistical analysis
dc.subjectsynchronous generator
dc.titleStatistical Method of Low Frequency Oscillations Analysis in Power Systems Based on Phasor Measurements
dc.typeArticle

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