A real-time UWT-based intelligent fault detection method for PV-based microgrids
dc.authorid | 0000-0003-3736-3668 | en_US |
dc.contributor.author | Yılmaz, Alper | |
dc.contributor.author | Bayrak, Gökay | |
dc.date.accessioned | 2021-03-20T20:12:24Z | |
dc.date.available | 2021-03-20T20:12:24Z | |
dc.date.issued | 2019 | |
dc.department | BTÜ, Mühendislik ve Doğa Bilimleri Fakültesi, Elektrik Elektronik Mühendisliği Bölümü | en_US |
dc.description.abstract | In this paper, a new un-decimated wavelet transform (UWT)-based fault detection method is proposed to overcome the limitations of WT-based methods in real-time applications. For the first time, UWT method is used to detect power quality disturbances (PQD) in microgrids in real time. UWT reduces the oscillations and noise in the signal and also is useful for selecting threshold values. This method is implemented by using only the voltage signal to detect the PQDs automatically for a PV-based microgrid. The voltage sag/swell, and interruption faults are evaluated in the experimental study by considering the duration and event amplitude of the PQD signal. High accuracy is also provided for detecting PQDs without using any noise filtering process. The results indicate that the proposed technique has a wide application area, fast fault detection time, and it is reliable for microgrids. | en_US |
dc.description.sponsorship | Bursa Technical University Scientific Research Projects Coordination Unit [172L25] | en_US |
dc.description.sponsorship | This study is supported by the Bursa Technical University Scientific Research Projects Coordination Unit (Project Number: 172L25). | en_US |
dc.identifier.doi | 10.1016/j.epsr.2019.105984 | en_US |
dc.identifier.issn | 0378-7796 | |
dc.identifier.issn | 1873-2046 | |
dc.identifier.scopusquality | Q1 | en_US |
dc.identifier.uri | http://doi.org/10.1016/j.epsr.2019.105984 | |
dc.identifier.uri | https://hdl.handle.net/20.500.12885/541 | |
dc.identifier.volume | 177 | en_US |
dc.identifier.wos | WOS:000497593500006 | en_US |
dc.identifier.wosquality | Q2 | en_US |
dc.indekslendigikaynak | Web of Science | en_US |
dc.indekslendigikaynak | Scopus | en_US |
dc.institutionauthor | Yılmaz, Alper | |
dc.language.iso | en | en_US |
dc.publisher | Elsevier Science Sa | en_US |
dc.relation.ispartof | Electric Power Systems Research | en_US |
dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | en_US |
dc.rights | info:eu-repo/semantics/closedAccess | en_US |
dc.subject | Automatic fault detection | en_US |
dc.subject | Un-decimated wavelet transform | en_US |
dc.subject | Microgrid | en_US |
dc.subject | Distributed generation | en_US |
dc.subject | Data acquisition | en_US |
dc.title | A real-time UWT-based intelligent fault detection method for PV-based microgrids | en_US |
dc.type | Article | en_US |