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Bayesian Detection of Islanding Events Using Voltage Angle Measurements
KTH, School of Electrical Engineering and Computer Science (EECS), Electric Power and Energy Systems.ORCID iD: 0000-0003-4736-4760
KTH, School of Electrical Engineering and Computer Science (EECS), Electric Power and Energy Systems.ORCID iD: 0000-0003-0988-7624
KTH, School of Electrical Engineering and Computer Science (EECS), Electric Power and Energy Systems.ORCID iD: 0000-0003-0759-4406
KTH, School of Electrical Engineering and Computer Science (EECS), Electric Power and Energy Systems.ORCID iD: 0000-0003-3014-5609
2018 (English)In: 2018 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids, SmartGridComm 2018, IEEE, 2018, article id 8587561Conference paper, Published paper (Refereed)
Abstract [en]

The growing presence of distributed generation in power systems increases the risk for the unintentional creation of electrical islands. It is important to apply reliable and quick is landing protection methods. At the same time, the deployment of phasor measurement units facilitates the usage of data-oriented techniques for the development of new wide-area protection applications, one of which is islanding protection. This paper presents a Bayesian approach to detecting an islanding event, which utilizes measurements of voltage angles at the system's buses. A model of mixtures of probabilistic principal component analysers has been fitted to the data using a variational inference algorithm and subsequently used for islanding detection. The proposed approach removes the need for setting parameters of the probabilistic model. The performance of the method is demonstrated on synthetic power system measurements.

Place, publisher, year, edition, pages
IEEE, 2018. article id 8587561
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:kth:diva-245971DOI: 10.1109/SmartGridComm.2018.8587561ISI: 000458801500076Scopus ID: 2-s2.0-85061060271ISBN: 978-1-5386-7954-8 (print)OAI: oai:DiVA.org:kth-245971DiVA, id: diva2:1296142
Conference
2018 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids, SmartGridComm 2018; Aalborg; Denmark; 29 October 2018 through 31 October 2018
Note

QC 20190314

Available from: 2019-03-14 Created: 2019-03-14 Last updated: 2019-05-10Bibliographically approved

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Rabuzin, TinLavenius, JanTaylor, NathanielNordström, Lars

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