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dc.contributor.authorSimani, Silvio
dc.contributor.authorTurhan, Cihan
dc.date.accessioned2019-02-06T07:07:21Z
dc.date.available2019-02-06T07:07:21Z
dc.date.issued2018-03
dc.identifier.citationSimani, S., and Turhan, C. (2017, September 7-8). Adaptive signal processing strategy for a wind farm system fault accommodation. Paper presented at the 2017 Intelligent Systems Conference, IntelliSys 2017. doi:10.1109/IntelliSys.2017.8324221en_US
dc.identifier.isbn978-150906435-9
dc.identifier.urihttp://doi.org/10.1109/IntelliSys.2017.8324221
dc.identifier.urihttp://hdl.handle.net/11147/7093
dc.description2017 Intelligent Systems Conference, IntelliSys 2017; America Square Conference CentreLondon; United Kingdom; 7 September 2017 through 8 September 2017en_US
dc.description.abstractIn order to enhance the 'sustainability' of offshore wind farms, thus skipping unplanned maintenance operations and costs, that can be important for offshore systems, the earlier management of faults represents the key point. Therefore, this work studies the development of an adaptive sustainable control scheme with application to a wind farm benchmark consisting of nine wind turbine systems. They are described via their nonlinear models, as well as the wind and wake effects among the wind turbines of the wind park. The fault tolerant (i.e., sustainable) control strategy uses the recursive estimation of the faults provided by nonlinear estimators designed via a nonlinear differential algebraic tool. These estimators are not affected by the model uncertainty and the wake effects among the wind turbines. This work exploits also a data-driven method used for estimating the analytical form of these disturbance functions, which are employed for obtaining the nonlinear fault reconstructors. Note that purely analytic approaches, where the model nonlinearity and the disturbance decoupling features are directly taken into account, may lead to more complex design tools. This aspect of the study, together with the more straightforward solution based on a data-driven scheme, is the issue when online applications are proposed for a viable implementation of the proposed solutions. The benchmark is exploited to verify the features of the developed strategies with respect to various fault situations and unavoidable model-reality mismatch.en_US
dc.language.isoengen_US
dc.publisherInstitute of Electrical and Electronics Engineersen_US
dc.relation.isversionof10.1109/IntelliSys.2017.8324221en_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectFault reconstructionen_US
dc.subjectOffshore wind farmen_US
dc.subjectRobustness and reliabilityen_US
dc.subjectSustainable controlen_US
dc.titleAdaptive signal processing strategy for a wind farm system fault accommodationen_US
dc.typeconferenceObjecten_US
dc.contributor.institutionauthorTurhan, Cihan
dc.relation.journal2017 Intelligent Systems Conference, IntelliSys 2017en_US
dc.contributor.departmentIzmir Institute of Technology. Mechanical Engineeringen_US
dc.identifier.volume2018en_US
dc.identifier.startpage791en_US
dc.identifier.endpage798en_US
dc.identifier.scopusSCOPUS:2-s2.0-85050890192
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US


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