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dc.contributor.authorDashtdar, Masoud
dc.contributor.authorBělík, Milan
dc.contributor.authorYadav, Arvind
dc.contributor.authorHosseinimoghadam, Seyed Mohammad Sadegh
dc.contributor.authorBajaj, Mohit
dc.contributor.authorRubanenko, Olena
dc.date.accessioned2023-03-06T11:00:30Z-
dc.date.available2023-03-06T11:00:30Z-
dc.date.issued2022
dc.identifier.citationDASHTDAR, M. BĚLÍK, M. YADAV, A. HOSSEINIMOGHADAM, SMS. BAJAJ, M. RUBANENKO, O. Improving the Performance of Distance Relay-Based Artificial Neural Network . In 2022 IEEE 3rd KhPI Week on advanced Technology (KhPI Week 2022) : conference proceedings. Piscaway: IEEE, 2022. s. nestránkováno. ISBN: 979-8-3503-9920-2cs
dc.identifier.isbn979-8-3503-9920-2
dc.identifier.uri2-s2.0-85141488620
dc.identifier.urihttp://hdl.handle.net/11025/51688
dc.format6 s.cs
dc.format.mimetypeapplication/pdf
dc.language.isoenen
dc.publisherIEEEen
dc.relation.ispartofseries2022 IEEE 3rd KhPI Week on advanced Technology (KhPI Week 2022) : conference proceedingsen
dc.rightsPlný text je přístupný v rámci univerzity přihlášeným uživatelůmcs
dc.rights© IEEEen
dc.titleImproving the Performance of Distance Relay-Based Artificial Neural Networken
dc.typekonferenční příspěvekcs
dc.typeConferenceObjecten
dc.rights.accessrestrictedAccessen
dc.type.versionpublishedVersionen
dc.description.abstract-translatedDistance relays for protection of power transmission lines used, which can be based on fixed stings Adjusted. But usually, the amplitude of operation of these relays changes with changing network conditions (network topology, load value, output value, etc.) and causes the relay to malfunction, using methods that can process information and pattern recognition, such as the use of fine processors and intelligent algorithms can use new relays that have high accuracy and thus achieve proper protection. In this paper, a distance relay is simulated by a neural network and it is observed that the neural relay has higher accuracy than a normal relay. In addition to fault detection and location, the type and phase of the fault can perform simultaneous protection of three phases. As a result, the number of line relays can be reduced by using neural relays. The MLP neural network is used to simulate the distance relay.en
dc.subject.translateddistance relayen
dc.subject.translatedfault locationen
dc.subject.translatedartificial neural networken
dc.subject.translatedtransmission networken
dc.identifier.doi10.1109/KhPIWeek57572.2022.9916379
dc.type.statusPeer-revieweden
dc.identifier.obd43938878
Appears in Collections:Konferenční příspěvky / Conference papers (RICE)
Konferenční příspěvky / Conference Papers (KEE)
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