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dc.contributor.authorShoaib, Muhammad Asim
dc.contributor.authorKhan, Abdul Qayyum
dc.contributor.authorMustafa, Ghulam
dc.contributor.authorKhan, Owais
dc.contributor.authorNasimullah, Muhammad
dc.contributor.authorAbid, Muhammad
dc.contributor.authorArif, Muhammad
dc.contributor.authorGul, Sufi Tabassum
dc.contributor.authorProkop, Lukáš
dc.contributor.authorBlažek, Vojtěch
dc.contributor.authorMišák, Stanislav
dc.date.accessioned2023-03-03T09:52:39Z
dc.date.available2023-03-03T09:52:39Z
dc.date.issued2022
dc.identifier.citationIEEE Access. 2022, vol. 10, p. 130532-130541.cs
dc.identifier.issn2169-3536
dc.identifier.urihttp://hdl.handle.net/10084/149173
dc.description.abstractAccurate and fast detection of faults is one of the main concerns of power systems for their operation and productivity. In this paper, a robust dynamic fault detection filter is presented for a synchronous generator (SG) characterized by a highly non-linear model, having uncertainties and perturbations both in state and measurements. The filter is so designed that the residual signal is robust against model uncertainties, process disturbances on the one hand and sensitive to faults on the other hand. To this end, a so-called mixed H_/H-infinity optimization is used to design the filter. The norm-based threshold is design which guarantee no false alarm. The effectiveness of the proposed approach is demonstrated by introducing synchronous generators in IEEE 9 and IEEE 39 Bus system, and considering different types of faults.cs
dc.language.isoencs
dc.publisherIEEEcs
dc.relation.ispartofseriesIEEE Accesscs
dc.relation.urihttps://doi.org/10.1109/ACCESS.2022.3228274cs
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/cs
dc.subjectfault detection filtercs
dc.subjectnonlinear systemcs
dc.subjectpower systemcs
dc.subjectsynchronous generatorcs
dc.subjectuncertain measurementscs
dc.titleRobust fault detection scheme for synchronous generator having nonlinear uncertain measurements along with perturbationcs
dc.typearticlecs
dc.identifier.doi10.1109/ACCESS.2022.3228274
dc.rights.accessopenAccesscs
dc.type.versionpublishedVersioncs
dc.type.statusPeer-reviewedcs
dc.description.sourceWeb of Sciencecs
dc.description.volume10cs
dc.description.lastpage130541cs
dc.description.firstpage130532cs
dc.identifier.wos000902004900001


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