A novel scheme for island detection in microgrids based on fuzzy c-means clustering technique

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dc.contributor.authorDamanjani, Amin
dc.contributor.authorAbardeh, Mohamad Hosseini
dc.contributor.authorAzarfar, Azita
dc.contributor.authorHojjat, Mehrdad
dc.contributor.statusnemhu_HU
dc.date.accessioned2021-06-08T12:15:23Z
dc.date.available2021-06-08T12:15:23Z
dc.date.issued2021-08
dc.description.abstractMicrogrids (MGs) are capable to work at different operation modes, namely grid-connected or islanded, which make a significant change in the network fault current level. These changes may lead to problems and should be detected fast to do the proper protection actions accordingly and prevent blackouts. Moreover, some island detection methods suffer from the drawbacks of high computation burden and time-consuming procedure of training data to detect the islanded mode. For this purpose, in this paper, a faster and less computation burden island detection scheme without the need for training data is proposed which detects the islanded mode by analyzing the fault current data obtained from a continuous sampling using the phasor measurement unit (PMU). The sampled data are utilized in the fuzzy c-means (FCM) clustering to determine the network operation mode. The proposed scheme works in two phases. In the offline phase, the root mean square (RMS) of the current amplitude for islanded mode is determined, and in the online phase, the center of the measured data is compared to the RMS value to detect the MG operation mode at a decision making procedure. It is proved that the proposed island detection scheme is an applicable technique for detecting the islanded mode in MGs.hu_HU
dc.identifier.doi10.1556/1848.2021.00215hu_HU
dc.identifier.issn2062-0810
dc.identifier.issue2hu_HU
dc.identifier.jtitleInternational Review of Applied Sciences and Engineering
dc.identifier.urihttp://hdl.handle.net/2437/310809
dc.identifier.urlhttps://akjournals.com/view/journals/1848/12/2/article-p157.xmlhu_HU
dc.identifier.volume12hu_HU
dc.language.isoenhu_HU
dc.publisherAkadémiai Kiadóhu_HU
dc.subjectmicrogridhu_HU
dc.subjectisland detectionhu_HU
dc.subjectfuzzy c-means clusteringhu_HU
dc.titleA novel scheme for island detection in microgrids based on fuzzy c-means clustering techniquehu_HU
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International Review of Applied Sciences and Engineering