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Implementation, comparison and application of an average simulation model of a wind turbine driven doubly fed induction generator

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dc.contributor.author Arachchige, LNW
dc.contributor.author Rajapakse, AD
dc.contributor.author Muthumuni, D
dc.date.accessioned 2023-03-13T09:12:30Z
dc.date.available 2023-03-13T09:12:30Z
dc.date.issued 2017
dc.identifier.citation Widanagama Arachchige, L. N., Rajapakse, A. D., & Muthumuni, D. (2017). Implementation, Comparison and Application of an Average Simulation Model of a Wind Turbine Driven Doubly Fed Induction Generator. Energies, 10(11), Article 11. https://doi.org/10.3390/en10111726 en_US
dc.identifier.issn 1996-1073 en_US
dc.identifier.uri http://dl.lib.uom.lk/handle/123/20716
dc.description.abstract Wind turbine driven doubly-fed induction generators (DFIGs) are widely used in the wind power industry. With the increasing penetration of wind farms, analysis of their effect on power systems has become a critical requirement. This paper presents the modeling of wind turbine driven DFIGs using the conventional vector controls in a detailed model of a DFIG that represents power electronics (PE) converters with device level models and proposes an average model eliminating the PE converters. The PSCAD/EMTDC™ (4.6) electromagnetic transient simulation software is used to develop the detailed and the proposing average model of a DFIG. The comparison of the two models reveals that the designed average DFIG model is adequate for simulating and analyzing most of the transient conditions. en_US
dc.language.iso en en_US
dc.publisher MDPI en_US
dc.subject average simulation model en_US
dc.subject doubly-fed induction generator en_US
dc.subject DFIG mode en_US
dc.subject electromagnetic transients en_US
dc.subject wind turbine en_US
dc.title Implementation, comparison and application of an average simulation model of a wind turbine driven doubly fed induction generator en_US
dc.type Article-Full-text en_US
dc.identifier.year 2017 en_US
dc.identifier.journal Energies en_US
dc.identifier.issue 11 en_US
dc.identifier.volume 10 en_US
dc.identifier.database MDPI en_US
dc.identifier.pgnos 1-25 en_US
dc.identifier.email lidulan@uom.lk en_US
dc.identifier.doi https://doi.org/10.3390/en10111726 en_US


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