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dc.contributor.authorAbu-Hajar, A.
dc.contributor.authorAl-Durra, A.
dc.contributor.authorMuyeen, S.M.
dc.date.accessioned2017-01-30T14:46:32Z
dc.date.available2017-01-30T14:46:32Z
dc.date.created2016-10-06T19:30:25Z
dc.date.issued2015
dc.identifier.citationAbu-Hajar, A. and Al-Durra, A. and Muyeen, S.M. 2015. Low pass conditioning filter in the dq synchronous frame for DFIG systems based on the power transfer matrix, in Proceedings of the 8th GCC Conference and Exhibition (GCCCE), Feb 1-4 2015, pp. 492-497. Muscat, Oman: IEEE.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/40890
dc.identifier.doi10.1109/IEEEGCC.2015.7060102
dc.description.abstract

In this paper, a low pass conditioning filter in the dq synchronous reference frame that removes noise and oscillation from the control signals of the DFIG controllers is proposed. The cutoff frequency of the conditioning filter is based on the power transfer matrix of the DFIG system. The power transfer matrix elegantly linearizes the DFIG's state space matrices using small signal approximation. We have investigated the effect of the different parameters on the bandwidth of partial transfer functions of the DFIG system. We were able to determine the bandwidth of the DFIG system by evaluating the dominating poles of the system. This is achieved by solving for the roots of the characteristic equation of the linearized state matrices of the power transfer matrix model. The low pass conditioning filter was used to remove additive Gaussian noise from the control signals. The proposed filter was simulated using Simulink/PowerSysTool, and the simulation showed that additive Gaussian noise was removed while the DFIG operated near its optimal power extraction point

dc.titleLow pass conditioning filter in the dq synchronous frame for DFIG systems based on the power transfer matrix
dc.typeConference Paper
dcterms.source.title2015 IEEE 8th GCC Conference and Exhibition, GCCCE 2015
dcterms.source.series2015 IEEE 8th GCC Conference and Exhibition, GCCCE 2015
dcterms.source.isbn9781479984220
curtin.departmentDepartment of Electrical and Computer Engineering
curtin.accessStatusFulltext not available


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