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dc.contributor.authorTaj, T.
dc.contributor.authorHasanien, H.
dc.contributor.authorAlolah, A.
dc.contributor.authorMuyeen, S.M.
dc.date.accessioned2017-01-30T13:04:42Z
dc.date.available2017-01-30T13:04:42Z
dc.date.created2016-10-05T19:30:23Z
dc.date.issued2015
dc.identifier.citationTaj, T. and Hasanien, H. and Alolah, A. and Muyeen, S.M. 2015. Transient stability enhancement of a gridconnected wind farm using an adaptive neurofuzzy controlled-flywheel energy storage system. IET Renewable Power Generation. 9 (7): pp. 792-800.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/28375
dc.identifier.doi10.1049/iet-rpg.2014.0345
dc.description.abstract

With the rapid growth of the wind energy systems in the past years and their interconnection with the existing power system networks, it has become very significant to analyse and enhance the transient stability of the wind energy conversion systems connected to the grid. This study investigates the transient stability enhancement of a grid-connected wind farm using doubly-fed induction machine-based flywheel energy storage system. A cascaded adaptive neuro-fuzzy controller (ANFC) is introduced to control the insulated gate bipolar transistor switches-based frequency converter to enhance the transient stability of the grid-connected wind farm. The performance of the proposed control strategy is analysed under a severe symmetrical fault condition on both a single-machine infinite bus model and the IEEE-39 bus New England test system. The transient performance of the system is investigated by comparing the results of the system using the proposed ANFCs with that of the black-box optimisation technique-based proportional-integral controllers. The validity of the system is verified by the simulation results which are carried out using PSCAD/EMTDC environment.

dc.publisherThe Institution of Engineering & Technology
dc.titleTransient stability enhancement of a gridconnected wind farm using an adaptive neurofuzzy controlled-flywheel energy storage system
dc.typeJournal Article
dcterms.source.volume9
dcterms.source.number7
dcterms.source.startPage792
dcterms.source.endPage800
dcterms.source.issn1752-1416
dcterms.source.titleIET Renewable Power Generation
curtin.note

© 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

curtin.departmentDepartment of Electrical and Computer Engineering
curtin.accessStatusOpen access


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